This article provides researchers, scientists, and drug development professionals with a complete framework for interpreting RNAscope control probe results, a critical step for ensuring data integrity in spatial gene expression...
This article provides researchers, scientists, and drug development professionals with a complete framework for interpreting RNAscope control probe results, a critical step for ensuring data integrity in spatial gene expression analysis. It covers the foundational principles of control probes, their practical application in assay validation, systematic troubleshooting for common issues, and comparative validation against other molecular techniques. By synthesizing official guidelines and recent advancements, this guide empowers users to confidently qualify their samples, optimize assay conditions, and produce reliable, publication-quality RNAscope data.
Successful gene expression analysis using RNAscope in situ hybridization (ISH) begins with rigorous quality control practices. Control probes provide the essential framework for validating both technical assay performance and sample RNA quality, forming the foundation for reliable, interpretable data. In the context of assay validation research, these controls move from being mere recommendations to critical scientific tools that verify your experimental outcomes [1].
The RNAscope assay employs a patented signal amplification and background suppression system that detects target RNA within intact cells with single-molecule sensitivity. Unlike traditional RNA ISH, this technology does not require an RNase-free environment but demands careful attention to protocol specifics and validation controls to ensure first-time success [2] [3]. Through proper implementation of control probes, researchers can distinguish true biological signals from technical artifacts, making them indispensable for rigorous scientific investigation, particularly in drug development where decisions hinge on accurate spatial gene expression data.
Positive control probes target constitutively expressed housekeeping genes and serve as critical indicators of sample RNA quality and successful assay performance. ACD recommends three primary positive control probes with varying expression levels to match your experimental target's expected abundance [1].
Table 1: RNAscope Positive Control Probe Selection Guide
| Probe Target | Expression Level (copies/cell) | Recommended Application | Interpretation of Valid Result |
|---|---|---|---|
| UBC (Ubiquitin C) | Medium/High (>20) | High expression targets only | Score â¥3 with uniform signal distribution [3] |
| PPIB (Cyclophilin B) | Medium (10-30) | Most flexible option for the majority of targets | Score â¥2 with relatively uniform signal throughout sample [2] [1] |
| POLR2A (DNA-directed RNA polymerase II) | Low (3-15) | Low expression targets; proliferating tissues, tumors | Successful detection indicates sufficient sensitivity for low abundance targets [1] [4] |
Negative control probes are equally crucial for validating that observed signals represent specific hybridization rather than non-specific background. The universal negative control probe targets the bacterial DapB gene (accession # EF191515) from Bacillus subtilis strain SMY, which should not generate signal in properly fixed mammalian tissue [1]. A valid negative control should yield a score of <1, indicating little to no background staining [2] [3]. Alternative negative controls can include sense strand probes or probes targeting genes from unrelated species, though these require additional validation [1].
The RNAscope assay uses a semi-quantitative scoring system based on counting discrete punctate dots within cells, where each dot represents an individual mRNA molecule [5]. The scoring criteria focus on dot quantity rather than intensity, as intensity reflects the number of probe pairs bound to each molecule rather than copy number [2].
Table 2: RNAscope Semi-Quantitative Scoring Guidelines
| Score | Criteria | Interpretation |
|---|---|---|
| 0 | No staining or <1 dot/10 cells | No detectable expression |
| 1 | 1-3 dots/cell | Low expression level |
| 2 | 4-9 dots/cell; none or very few dot clusters | Moderate expression |
| 3 | 10-15 dots/cell with <10% dots in clusters | High expression |
| 4 | >15 dots/cell with >10% dots in clusters | Very high expression |
Scoring is performed at 20x magnification. If <5% of cells score 1 and >95% score 0, a score of 0 is given. If 5-30% of cells score 1 and >70% score 0, a score of 0.5 is given [2] [3].
The recommended workflow for validating control probes follows a systematic process to ensure both technical proficiency and sample quality before proceeding with experimental targets.
Q: My positive control probe (PPIB) shows no signal. What could be wrong?
A: Several technical issues can cause positive control failure:
Q: My negative control (DapB) shows significant background staining. How do I resolve this?
A: Background staining typically indicates:
Q: My control probes show uneven staining across the tissue section. What does this indicate?
A: Irregular staining patterns suggest:
Table 3: Critical Reagents for RNAscope Control Validation
| Reagent Category | Specific Product | Function in Control Validation |
|---|---|---|
| Control Slides | Human Hela Cell Pellet (Cat. No. 310045) | Technical control for assay performance [2] |
| Control Slides | Mouse 3T3 Cell Pellet (Cat. No. 310023) | Species-specific technical control [2] |
| Positive Probes | PPIB, POLR2A, UBC Probes | Assess sample RNA quality and assay sensitivity [1] |
| Negative Probes | DapB Negative Control Probe | Establish background threshold and specificity [1] |
| Specialized Slides | Superfrost Plus Slides | Prevent tissue detachment during stringent hybridization steps [2] |
| Hydrophobic Barrier | ImmEdge Pen (Vector Labs) | Maintain reagent containment and prevent drying [2] |
| Mounting Media | EcoMount or PERTEX (Red assays) | Preserve signal integrity without introducing background [2] |
| Mounting Media | CytoSeal XYL (Brown assays) | Xylene-based media compatible with chromogenic detection [2] |
The validation principles established with control probes extend directly to advanced applications in therapeutic development. RNAscope ISH has emerged as a powerful method for validating antibodies and assessing the spatial biodistribution and efficacy of oligonucleotide therapies [6] [7]. In these critical applications, proper control probe implementation becomes essential for generating regulatory-grade data.
For oligonucleotide therapy development, control probes help establish the framework for detecting synthetic small RNAs alongside endogenous biomarkers. The same validation workflow applies when using miRNAscope and RNAscope Plus assays to visualize therapeutic oligonucleotides, their target engagement, and potential off-target effects within intact tissues [7]. The rigorous approach to control probe validation described in this guide therefore forms the foundation for reliable decision-making throughout the drug development pipeline.
Q1: Why is it necessary to run multiple control probes with my RNAscope assay? Running a panel of controlsâincluding your target probe, a positive control, and a negative controlâis essential for verifying both the technical success of the assay and the quality of your sample. The positive control (e.g., PPIB) confirms that the RNA in your tissue specimen is of sufficient quality for detection. The negative control (dapB) verifies that the tissue was appropriately prepared and that there is no non-specific background staining [5] [2] [1].
Q2: How do I choose between PPIB, UBC, and POLR2A as my positive control? The choice depends on the expression level of your target gene. PPIB (medium expression) is the most commonly used and recommended rigorous control for most tissues. UBC (high expression) should be paired with high-expression targets, while POLR2A (low expression) is best for validating assays targeting low-abundance RNAs or for use in specific tissues like tumors or retina [1].
Q3: My positive control shows a score of 0. What does this indicate? A score of 0 on your positive control (no staining or <1 dot per 10 cells) indicates a problem. This could be due to suboptimal pretreatment conditions (e.g., over- or under-fixed tissue), poor RNA integrity in the sample, or an error in the assay procedure itself. You should troubleshoot by adjusting the epitope retrieval and/or protease treatment times and ensure all assay steps are followed exactly [2] [8].
Q4: My negative control (dapB) shows punctate dots. What should I do? Any significant staining with the dapB negative control indicates unacceptable background. This is often caused by excessive protease treatment or non-specific hybridization. You should optimize your sample pretreatment protocol, typically by reducing the protease digestion time, and ensure you are using fresh reagents [2] [9].
The table below summarizes the key characteristics and recommended applications for each control probe.
| Control Probe | Type | Expression Level (Copies/Cell) | Primary Function | Interpretation of a Valid Result |
|---|---|---|---|---|
| dapB | Negative | N/A (Bacterial Gene) | Assess background staining and tissue preparation [2] [1] | Score of 0 or <1 is ideal [2] |
| POLR2A | Positive | Low (3-15) | Rigorous control for low-expression targets; suitable for proliferating tissues [1] | A positive score confirms sensitivity for low-abundance RNA |
| PPIB | Positive | Medium (10-30) | General-purpose control for most tissues and targets [1] | Score â¥2 indicates acceptable sample and technical quality [2] |
| UBC | Positive | High (>20) | Control for high-expression targets; sensitive to degradation [1] | Score â¥3 indicates strong signal and good RNA integrity [2] |
RNAscope assay results are interpreted using a semi-quantitative scoring system based on the number of punctate dots per cell, where each dot represents a single mRNA molecule [5] [9]. The scoring criteria are outlined in the following table.
| Score | Criteria (Dots per Cell) | Interpretation |
|---|---|---|
| 0 | No staining or <1 dot/ 10 cells | Negative / No detectable expression |
| 1 | 1-3 dots/cell | Low expression level |
| 2 | 4-9 dots/cell; very few dot clusters | Moderate expression level |
| 3 | 10-15 dots/cell; <10% dots in clusters | High expression level |
| 4 | >15 dots/cell; >10% dots in clusters | Very high expression level |
The following diagram illustrates the recommended workflow for qualifying your samples using control probes before proceeding with experiments for your target gene.
| Item / Reagent | Function in RNAscope Assay |
|---|---|
| Positive Control Probes (PPIB, UBC, POLR2A) | Verify sample RNA integrity and assay technical performance [1] |
| Negative Control Probe (dapB) | Detect non-specific background staining and assess tissue preparation quality [2] [1] |
| Superfrost Plus Slides | Provide superior tissue adhesion to prevent detachment during the stringent assay steps [2] |
| ImmEdge Hydrophobic Barrier Pen | Maintain a liquid-tight barrier around sections to prevent slides from drying out [2] |
| HybEZ Oven | Maintain optimum humidity and temperature (40°C) during critical hybridization steps [2] |
| Recommended Mounting Media | Preserve chromogenic signals (e.g., EcoMount for Red detection, Xylene-based for Brown) [2] |
| Inubritannolide A | Inubritannolide A, MF:C30H38O6, MW:494.6 g/mol |
| 11-Epi-Chaetomugilin I | 11-Epi-Chaetomugilin I, MF:C22H27ClO5, MW:406.9 g/mol |
In the field of gene expression analysis, the RNAscope in situ hybridization (ISH) assay represents a significant advancement over traditional methods, enabling highly sensitive detection of target RNA within intact cells. A fundamental principle for researchers, scientists, and drug development professionals to grasp is that the signal from a successful RNAscope assay manifests as punctate dots, with each dot corresponding to a single mRNA transcript. This direct correlation forms the bedrock for accurate data interpretation and is crucial for validating findings in broader research on RNAscope control probe results. Understanding this principle is not merely an academic exercise; it is essential for troubleshooting experimental issues, quantifying gene expression reliably, and drawing meaningful biological conclusions. This technical support center article delves into the molecular mechanism behind this signal pattern, provides structured guidelines for its interpretation, and addresses common challenges encountered in the laboratory.
The patented RNAscope technology achieves its single-molecule sensitivity through a sophisticated signal amplification and background suppression system. The process can be visualized as a series of molecular handshakes that build a detectable signal only on the intended target.
The diagram above illustrates the core mechanism. The process begins with ZZ probe pairs specifically designed to bind to the target mRNA [10]. Each complete hybridization of these probe pairs creates a binding site for a preamplifier molecule. This preamplifier, in turn, provides multiple binding sites for amplifier molecules, which finally accommodate numerous label probes. This cascade results in a massive signal amplification at the precise location of each target mRNA molecule, yielding a distinct, punctate dot visible under a microscope [5].
It is critical to note that the size or intensity of a dot can vary due to differences in the number of probe pairs bound to each target molecule [5]. However, for the purpose of quantification and interpretation, the number of dots is what correlates directly with the number of RNA transcripts. A cluster of dots may represent multiple mRNA molecules in close proximity, but scoring should still focus on enumerating these discrete puncta [5].
Interpreting RNAscope data requires a shift in mindset for researchers accustomed to immunohistochemistry (IHC). Instead of assessing diffuse cytoplasmic staining or intensity gradients, the analysis focuses on counting discrete, punctate signals per cell. The following table outlines the standardized semi-quantitative scoring system used for the RNAscope assay.
Table: Semi-Quantitative Scoring Guidelines for RNAscope Assay
| Score | Criteria | Interpretation |
|---|---|---|
| 0 | No staining or <1 dot/10 cells | Negative / No expression detected |
| 1 | 1-3 dots/cell | Low expression level |
| 2 | 4-9 dots/cell; None or very few dot clusters | Moderate expression level |
| 3 | 10-15 dots/cell; <10% dots are in clusters | High expression level |
| 4 | >15 dots/cell; >10% dots are in clusters | Very high expression level |
Adapted from the official RNAscope Scoring Guidelines [2].
This scoring framework is typically applied using a positive control probe for a housekeeping gene like PPIB (Cyclophilin B) and a negative control probe for the bacterial dapB gene. A successful assay should yield a PPIB score of â¥2 and a dapB score of <1, indicating good RNA quality and minimal background staining [2] [1]. For genes with expression levels outside the typical range of PPIB (10-30 copies/cell), the scoring criteria may need to be scaled accordingly [2].
The following table catalogues the critical reagents and equipment required to perform a reliable RNAscope assay, as emphasized in the technical documentation.
Table: Essential Research Reagents and Materials for RNAscope Assay
| Item | Function/Importance | Key Specifications |
|---|---|---|
| Superfrost Plus Slides | Tissue adhesion | Required to prevent tissue detachment during the stringent assay steps [2] [10]. |
| HybEZ Oven | Humidity and temperature control | Maintains optimum conditions (40°C) during hybridization; critical for manual assay performance [2] [10]. |
| ImmEdge Barrier Pen | Creates a hydrophobic barrier | Prevents solutions from mixing and keeps tissue from drying out; specific brands are required [2]. |
| Positive Control Probes | Assess sample RNA quality and technique | Species-specific housekeeping genes (e.g., PPIB, UBC, POLR2A); selection should match target expression level [1]. |
| Negative Control Probe (dapB) | Determines background staining | Bacterial gene probe that should not generate signal in properly prepared tissue [11] [1]. |
| Target Retrieval & Protease Reagents | Antigen retrieval and permeabilization | Critical for exposing target RNA; conditions may require optimization based on fixation [2] [12]. |
| Appropriate Mounting Media | Final slide mounting | Media is assay-specific (e.g., xylene-based for Brown, EcoMount for Red); using the wrong type affects results [2]. |
1. What does a single dot mean in an RNAscope assay? Each punctate dot represents a single molecule of the target mRNA transcript [5]. The technology is designed to amplify signal at the site of each individual molecule, resulting in this one-to-one correspondence, which is the foundation for precise quantification.
2. Should I be concerned about variations in dot size and intensity? Variation in dot size and intensity is expected and reflects the number of ZZ probes bound to each target mRNA molecule [5]. For scoring and quantification, the primary parameter to evaluate is the number of dots per cell, not their size or intensity [2] [5].
3. What is the difference between a dot and a cluster? A dot typically originates from a single mRNA molecule. Clusters, on the other hand, result from overlapping signals from multiple mRNA molecules that are in very close proximity to each other within the cell [5]. In the scoring system, clusters are noted when they comprise more than 10% of the signals for high-scoring samples [2].
4. My positive control shows a weak signal. What is the most likely cause? Weak positive control signal often points to issues with sample preparation. The most common reason for subpar results is that the tissue was not fixed according to recommended guidelines: fixation in fresh 10% Neutral Buffered Formalin (NBF) for 16-32 hours at room temperature [12]. Under-fixation can lead to significant RNA degradation [12]. Another potential cause is suboptimal antigen retrieval or protease digestion times, which may require optimization for your specific tissue type and fixation history [2].
5. My negative control (dapB) shows staining. What does this indicate? Any significant staining with the dapB negative control probe indicates non-specific background signal. This is often due to over-fixation of the tissue (exceeding 32 hours) or excessive protease digestion, which over-permeabilizes the tissue and allows for non-specific probe binding [2] [1]. Troubleshooting should involve reducing protease treatment time or, if possible, using a shorter fixation time for future samples.
6. Can I use my standard IHC protocols and reagents for RNAscope? No. While the workflow is similar, key differences exist. RNAscope requires:
Mastering the interpretation of the punctate dot signal in RNAscope is fundamental to leveraging the full power of this technology. The principle that one dot equals one mRNA transcript provides an unprecedented ability to localize and quantify gene expression at the single-cell level. By adhering to the recommended sample preparation protocols, rigorously including controls, and applying the semi-quantitative scoring guidelines, researchers can generate robust and reproducible data. A deep understanding of this signal interpretation is indispensable for driving accurate conclusions in drug development and basic research, ensuring that the data derived from RNAscope assays reliably reflects the underlying biology.
What is the purpose of running control slides and probes? Control slides and probes are essential for verifying that the RNAscope assay is performing correctly. They help distinguish between true experimental results and artifacts caused by technical issues or sample quality problems. ACD recommends two levels of quality control: a technical assay control check to ensure the protocol is executed properly, and a sample/RNA quality control check to confirm the tissue is suitably prepared for RNA detection [1].
Which positive control probe should I use for my experiment? The choice of positive control probe depends on the expression level of your target gene. The table below summarizes the recommended options [1]:
| Positive Control Probe Gene | Expression Level (copies per cell) | Recommendations |
|---|---|---|
| UBC (Ubiquitin C) | High (>20) | Use with high-expression targets. Not recommended for low-expression targets as it may give false negative results. |
| PPIB (Cyclophilin B) | Medium (10-30) | The most flexible and recommended option for most tissues. Provides a rigorous control for sample quality. |
| POLR2A | Low (3-15) | Use with low-expression targets. A good alternative to PPIB for proliferating tissues like tumors. |
What negative control probe is used, and what does it indicate? The universal negative control probe targets the bacterial DapB gene (from Bacillus subtilis), which should not be present in your tissue samples [2] [1]. A successful assay with this probe should show little to no staining, indicating that there is no non-specific background signal and that the tissue specimen has been appropriately prepared [11] [13].
What are the specific control slides available? ACD provides two main types of control slides [14] [15] [11]:
What are the expected results for a successfully performed assay? For an assay to be considered successful, the control slides must yield the following results [2] [11]:
How do I score the RNAscope staining results? RNAscope assay results are evaluated using a semi-quantitative scoring system based on the number of punctate dots per cell, as each dot represents a single mRNA molecule [5] [2]. The scoring guidelines are summarized in the table below [2]:
| Score | Criteria (Dots per Cell) | Dot Clusters |
|---|---|---|
| 0 | No staining or <1 dot per 10 cells | Not applicable |
| 1 | 1-3 dots/cell | Not specified |
| 2 | 4-9 dots/cell | None or very few dot clusters |
| 3 | 10-15 dots/cell | <10% of dots are in clusters |
| 4 | >15 dots/cell | >10% of dots are in clusters |
What does a typical RNAscope signal look like? The RNAscope signal appears as distinct, punctate dots under the microscope [5]. It is important to note that each dot represents a single copy of an mRNA molecule. While the size or intensity of the dots may vary, the critical parameter for quantification is the number of dots, not their intensity or size [5].
What should I do if my positive control (PPIB/POLR2A) has no signal or a low score (<2)? A weak or absent positive control signal suggests problems with assay execution, sample RNA quality, or sample preparation [2].
What should I do if my negative control (DapB) shows a high score (â¥1)? Background staining in the negative control indicates non-specific signal, often due to insufficient washing or suboptimal tissue permeabilization [2] [1].
The staining results are acceptable, but image analysis is challenging. What are some common issues?
The following table details key materials required for establishing baseline performance with RNAscope control slides [2] [14] [11].
| Item | Function & Importance |
|---|---|
| Control Slide - Human HeLa Cell Pellet (Cat. # 310045) | Pre-validated FFPE human cell pellets to verify assay conditions and technique. Essential for qualifying human tissue samples [14] [11]. |
| Control Slide - Mouse 3T3 Cell Pellet (Cat. # 310023) | Pre-validated FFPE mouse cell pellets for use as a technical control when working with mouse samples [14] [11]. |
| Positive Control Probes (PPIB, POLR2A, UBC) | Probes targeting constitutively expressed housekeeping genes. They assess sample RNA quality and confirm the assay worked properly [2] [1]. |
| Negative Control Probe (dapB) | A probe targeting a bacterial gene not found in mammalian tissue. It assesses background staining and confirms specificity [2] [1]. |
| HybEZ Hybridization System | An instrument that maintains optimum humidity and temperature during the assay's hybridization steps. It is required for the procedure [2]. |
| Superfrost Plus Microscope Slides | Specifically required to prevent tissue detachment during the rigorous assay workflow [2]. |
| ImmEdge Hydrophobic Barrier Pen | The only barrier pen recommended to maintain a hydrophobic barrier around the tissue section throughout the entire procedure, preventing slides from drying out [2]. |
| Bnm-III-170 | Bnm-III-170, MF:C25H26ClF7N6O6, MW:675.0 g/mol |
| Clionamine B | Clionamine B, CAS:1042138-28-2, MF:C27H45NO3, MW:431.7 g/mol |
The following diagram outlines the recommended workflow for using control slides to establish baseline performance before running experimental target probes.
Validating Control Slides Workflow
Protocol Steps:
The RNAscope assay is based on a novel in situ hybridization (ISH) technology that allows for highly specific and sensitive detection of target RNA within intact cells. Its proprietary "double Z" probe design, combined with advanced signal amplification techniques, enables the visualization of target RNA as distinct, punctate dots. Critically, each dot represents a single molecule of mRNA [5] [16]. This foundational principle is what makes accurate dot counting the cornerstone of reliable semi-quantitative analysis.
When interpreting RNAscope results, you should always score the number of dots per cell rather than the signal intensity [5] [2] [11]. The number of dots correlates directly with the number of RNA transcript copies in the cell. Variation in dot intensity or size reflects the number of ZZ probes bound to a single target mRNA molecule and is not indicative of the expression level [5]. The quantitative data is in the count, not the appearance.
RNAscope signals are detected as punctate dots. Clusters are signals that result from multiple mRNA molecules located in very close proximity to one another, causing their individual dots to overlap and appear as a single, larger signal [5]. The standard scoring guidelines provide specific guidance on how to account for these clusters in your final analysis [2] [3].
The RNAscope assay uses a semi-quantitative scoring system to evaluate staining results. The table below outlines the universally accepted scoring criteria for a gene with an expression level similar to the positive control PPIB (approximately 10-30 copies per cell). For genes with expression levels outside this range, you may need to scale these criteria accordingly [2] [3].
Table 1: RNAscope Semi-Quantitative Scoring Guidelines (based on PPIB expression)
| Score | Staining Criteria |
|---|---|
| 0 | No staining or less than 1 dot per 10 cells. |
| 1 | 1 to 3 dots per cell (visible at 20x-40x magnification). |
| 2 | 4 to 9 dots per cell. None or very few dot clusters are present. |
| 3 | 10 to 15 dots per cell, and less than 10% of the dots are in clusters. |
| 4 | More than 15 dots per cell, and over 10% of the dots are in clusters. |
| 0.5 | Applied when 5-30% of cells score 1 and >70% score 0 [3]. |
This standardized framework ensures consistency and reproducibility across experiments and between different researchers.
To accurately apply the scoring guidelines, follow this established methodology [2] [3]:
The following workflow diagram illustrates the logical decision process for assigning a score to a given cell based on the dot count and the presence of clusters.
ACD strongly recommends running a minimum of three slides per sample [5] [1]:
Your experiment is technically valid only if the control probes yield the expected results [2] [3] [11]:
Any deviation from these expected results suggests an issue with sample quality, RNA integrity, or assay technique that must be addressed before interpreting your target probe data.
The choice of positive control probe depends on the expression level of your target gene. Using an appropriate control ensures a rigorous assessment of your assay's performance.
Table 2: Positive Control Probe Selection Guide
| Control Gene | Expression Level (Copies/Cell) | Recommended Use Case |
|---|---|---|
| POLR2A | Low (3-15) | Use with low-expression targets or for proliferating tissues like tumors. |
| PPIB (Cyclophilin B) | Medium (10-30) | The most flexible and recommended option for most tissues. |
| UBC (Ubiquitin C) | Medium/High (>20) | Use only with high-expression targets. Not recommended for low-expression targets as it may give false negative results. |
Weak or absent signal in your positive control (e.g., PPIB score <2) indicates a problem with the assay. The following workflow outlines a systematic approach to troubleshoot this issue, focusing on the most common causes related to sample preparation and pretreatment.
Detailed Troubleshooting Steps:
A high score (â¥1) on your dapB negative control indicates excessive background staining. This is often due to incomplete protease digestion [2]. To resolve this:
Success with the RNAscope assay hinges on using the correct materials. The following table details the essential items required for a manual RNAscope assay.
Table 3: Essential Research Reagent Solutions for RNAscope Assays
| Item | Function / Importance | Specific Recommendation / Note |
|---|---|---|
| Control Slides (HeLa/3T3) | To verify assay technique is performed correctly. | Catalog # 310045 (Human), 310023 (Mouse) [1]. |
| Positive Control Probes | To assess sample RNA quality and integrity. | Choose PPIB, POLR2A, or UBC based on your target's expression level [1]. |
| Negative Control Probe (dapB) | To determine background levels and confirm specificity. | Targets a bacterial gene not present in mammalian tissues [1]. |
| Superfrost Plus Slides | To prevent tissue detachment during the rigorous assay procedure. | Fisher Scientific. Other slide types may result in tissue loss [2] [11]. |
| ImmEdge Hydrophobic Barrier Pen | To create a well around the tissue section, preventing reagents from spreading and ensuring slides do not dry out. | Vector Laboratories (Cat. No. 310018). The only pen recommended for use throughout the procedure [2]. |
| HybEZ Hybridization System | To maintain optimum humidity and temperature (40°C) during the critical hybridization steps. | Required for the assay; drying out during these steps will cause failure [2]. |
| Assay-Specific Mounting Medium | To preserve the signal for microscopy. | Brown assay: Xylene-based (e.g., Cytoseal). Red/Fluorescent assays: EcoMount or PERTEX. Using the wrong medium can degrade results [2] [3]. |
| Delavinone | Delavinone, MF:C27H43NO2, MW:413.6 g/mol | Chemical Reagent |
| Herpotrichone B | Herpotrichone B, MF:C22H26O7, MW:402.4 g/mol | Chemical Reagent |
Disclaimer for Research Use: This guide is intended for research purposes only. The protocols, troubleshooting tips, and recommendations are based on publicly available technical documentation and should be validated in your own laboratory setting.
Integrating control slides and probes is a fundamental requirement for any rigorous RNAscope experiment. These controls are indispensable for verifying assay technique, assessing sample RNA quality, and ensuring the specificity of your detection results. Within the broader context of RNAscope control probe results interpretation research, a properly controlled experiment is the only way to distinguish true biological signal from technical artifacts. The RNAscope assay's unparalleled sensitivity and specificity are contingent upon the use of a structured control system to validate each experimental run, making the integration of these controls non-negotiable for researchers, scientists, and drug development professionals who rely on accurate spatial gene expression data [1].
A robust RNAscope experiment requires two primary types of control probes to monitor different aspects of assay performance. The table below summarizes their critical functions and recommendations.
Table 1: Essential Control Probes for RNAscope Experiments
| Control Type | Target | Primary Function | Interpretation of Valid Result | Expression Level (copies/cell) |
|---|---|---|---|---|
| Positive Control | PPIB (Cyclophilin B) [1] | Assess sample RNA integrity & technical performance [2] | Score â¥2 with relatively uniform signal [2] | Medium (10-30) [1] |
| POLR2A [1] | Rigorous control for low-expressing targets [1] | Score â¥2 [3] | Low (3-15) [1] | |
| UBC (Ubiquitin C) [1] | Use with high-expression targets [1] | Score â¥3 [2] | High (>20) [1] | |
| Negative Control | dapB (bacterial gene) [2] | Determine background staining & appropriate sample prep [5] | Score <1 (low to no background) [2] | N/A (should not be present) |
In addition to control probes, ACD provides standardized control slides to verify your entire assay technique. These are fixed cell pellets with known RNA quality and are critical for troubleshooting.
These slides should be run with the positive and negative control probes to confirm that the assay protocol is being executed correctly before applying it to your precious samples [1].
The following diagram illustrates the integrated control workflow, from sample qualification to target detection:
Day 1: Sample Preparation and Pretreatment
Day 2: Probe Hybridization, Amplification, and Detection
Q1: My positive control (PPIB) shows a weak signal, but the negative control is clean. What should I do? This indicates suboptimal RNA accessibility, likely due to inadequate tissue permeabilization or RNA degradation. First, verify your sample was fixed in fresh 10% NBF for 16-32 hours [12]. If fixation is unknown, optimize pretreatment conditions by incrementally increasing the protease time (e.g., in 10-minute increments) while keeping the temperature at 40°C [3].
Q2: My negative control (dapB) shows high background staining. What is the cause? High background in the negative control is often a sign of over-digestion during the protease step or non-specific binding. Reduce the protease digestion time. Also, ensure all reagents, especially ethanol and xylene, are fresh [2]. Always use the recommended ImmEdge Hydrophobic Barrier Pen, as other pens may not hold up throughout the procedure [2].
Q3: Which positive control probe should I choose for my low-expressing target? For low-expression targets, use POLR2A or PPIB. These low to medium-copy number genes provide a more rigorous control for assay sensitivity. Using a high-copy gene like UBC for a low-expressing target could lead to false negative results, as UBC may still be detectable even when the assay conditions are not sensitive enough for your target [1].
Q4: How do I interpret clusters of dots in my staining? RNAscope signals are punctate dots, and each dot represents a single mRNA molecule [5]. Clusters can form when multiple mRNA molecules are in very close proximity. When scoring, count the number of dots per cell, not the intensity. The scoring system accounts for clusters: a score of 3 requires "10-15 dots/cell and <10% dots in clusters," while a score of 4 has ">15 dots/cell and >10% dots in clusters" [2].
Q5: My control slides stained perfectly, but the controls on my sample tissue did not. What does this mean? This result confirms that your assay technique is sound, but the sample tissue itself requires optimization. The issue lies with the sample preparation or the specific pretreatment conditions needed for that tissue. Proceed to optimize the antigen retrieval and protease digestion times specifically for your sample type, using the positive and negative control probes as your guide [1].
The interpretation of RNAscope staining is based on a semi-quantitative scoring system that focuses on the number of punctate dots per cell. The table below outlines the standard scoring criteria. It is crucial to apply this to your control probes first to validate the experiment.
Table 2: RNAscope Semi-Quantitative Scoring Guidelines [2]
| Score | Criteria | Interpretation |
|---|---|---|
| 0 | No staining or <1 dot/ 10 cells | Negative |
| 0.5 | 1-3 dots/cell in 5-30% of cells; >70% of cells score 0 | Faint/Borderline |
| 1 | 1-3 dots/cell | Low |
| 2 | 4-9 dots/cell; none or very few dot clusters | Medium |
| 3 | 10-15 dots/cell and <10% dots are in clusters | High |
| 4 | >15 dots/cell and >10% dots are in clusters | Very High |
The following decision diagram guides the interpretation of your control results and the subsequent steps:
Table 3: Essential Materials and Reagents for RNAscope with Controls
| Item | Function / Importance | Specific Recommendation / Catalog Source |
|---|---|---|
| Positive Control Probes | Verifies RNA integrity and assay technique. | PPIB, POLR2A, or UBC probes [1] |
| Negative Control Probe | Determines background staining levels. | dapB probe [2] |
| Control Slides | Technical assay control check. | Human HeLa (Cat. No. 310045) or Mouse 3T3 (Cat. No. 310023) cell pellets [3] |
| Microscope Slides | Prevents tissue detachment during stringent assay steps. | Superfrost Plus slides are required [2] |
| Hydrophobic Barrier Pen | Creates a well around the section to hold reagents. | ImmEdge Pen (Vector Labs Cat. No. 310018); others may fail [2] |
| HybEZ System | Maintains optimum humidity and temperature (40°C) during hybridization. | Required for manual RNAscope assays [2] |
| Mounting Media | Preserves staining for visualization. | Assay-specific: Xylene-based for Brown; EcoMount/PERTEX for Red [2] |
| Fresh Reagents | Prevents introduction of RNases and ensures proper reaction chemistry. | Always use fresh ethanol, xylene, and 10% NBF [2] |
| (9S)-Macrocidin B | (9S)-Macrocidin B|C20H23NO6|RUO | (9S)-Macrocidin B is a natural product for research use only (RUO). Explore its applications in herbicide and anti-biofilm research. Not for human use. |
| 11-Deoxymogroside V | 11-Deoxymogroside V, MF:C60H102O28, MW:1271.4 g/mol | Chemical Reagent |
In the broader context of RNAscope control probe results interpretation research, selecting the appropriate positive control probe is not a mere preliminary step but a fundamental component of experimental rigor. The RNAscope assay, with its proprietary signal amplification and background suppression technology, enables in situ RNA detection with single-molecule sensitivity [17] [18]. However, this sensitivity can only be reliably harnessed when the assay is properly controlled. A positive control probe validates both the technical execution of your assay and the RNA integrity of your sample [1]. Using an incorrectly matched controlâsuch as a high-expression control for a low-expression target geneâcan lead to false negatives by failing to accurately represent your assay's detection capability [1]. This guide provides a structured framework for researchers and drug development professionals to select optimal positive controls based on their target's expression level, thereby ensuring biologically meaningful and interpretable results.
The expression level of your target gene, typically measured in copies per cell, should directly inform your choice of positive control probe. The manufacturer, Advanced Cell Diagnostics (ACD), provides three primary housekeeping genes as positive controls, each covering a specific expression range [1].
Table 1: RNAscope Positive Control Probes and Their Applications
| Control Probe | Gene Name | Expression Level (Copies/Cell) | Recommended Use |
|---|---|---|---|
| POLR2A | DNA-directed RNA polymerase II subunit RPB1 | Low (3-15 copies) [1] | Ideal for validating assays targeting low-expression genes. |
| PPIB | Cyclophilin B | Medium (10-30 copies) [1] | The most flexible and commonly used control; suitable for most targets [1]. |
| UBC | Ubiquitin C | Medium/High (>20 copies) [1] | Reserved for high-expression targets only. |
The following diagram illustrates the decision-making process for selecting the correct positive control probe.
Matching the control probe to your target's expression level is critical for a truthful assessment of your assay's performance.
Avoiding False Negatives with Low-Expression Targets: Using a high-expression control like UBC for a low-expression target is a common pitfall. Because UBC RNA may still be detectable even in suboptimal assay conditions or moderately degraded samples, a positive UBC signal might misleadingly suggest your assay worked perfectly. However, the same conditions might be insufficient to detect your actual low-expression target, leading to a false negative conclusion [1]. A POLR2A control, by contrast, provides a more rigorous test for detecting low-copy RNAs.
PPIB as a General Purpose Control: PPIB, with its medium expression level, offers a stringent yet achievable benchmark. Its reliable performance across a wide variety of tissue types makes it the recommended starting point for most experiments [1] [8].
Before running your target probe, it is essential to qualify your sample and optimize pretreatment conditions. This protocol is adapted from the ACD-recommended workflow for formalin-fixed, paraffin-embedded (FFPE) tissues [2] [8].
The following chart outlines the key steps for using control probes to qualify your samples before proceeding with your experimental target.
Run Control Probes: For each sample batch, run a minimum of three slides:
Score Control Signals: Evaluate the staining results using semi-quantitative scoring guidelines [2].
Interpret and Act:
Optimize Pretreatment: Pretreatment (e.g., antigen retrieval and protease digestion) is critical for RNA exposure.
Table 2: Key Reagents and Materials for RNAscope Assays
| Item | Function/Importance | Key Specifications |
|---|---|---|
| Positive & Negative Control Probes | Validate assay performance and sample RNA quality. | Select from PPIB, POLR2A, UBC (positive) and dapB (negative) [1]. |
| Superfrost Plus Slides | Provides tissue adhesion. | Required to prevent tissue detachment during the assay [2]. |
| ImmEdge Hydrophobic Barrier Pen | Creates a well around the tissue section. | The only pen validated to maintain a barrier throughout the procedure [2]. |
| HybEZ Oven | Maintains optimum humidity and temperature. | Required for the hybridization steps to prevent slides from drying out [2]. |
| Approved Mounting Media | Preserves and coverslips the stained sample. | Dependent on assay type (e.g., EcoMount for Red assay, xylene-based for Brown assay) [2]. |
| (-)-10,11-Dihydroxyfarnesol | (-)-10,11-Dihydroxyfarnesol|V75146 | (-)-10,11-Dihydroxyfarnesol is a fungal metabolite that inhibits nitric oxide (NO) production. This product is for research use only and not for human use. |
| Curindolizine | Curindolizine, MF:C30H35N3O2, MW:469.6 g/mol | Chemical Reagent |
Q: My positive control (PPIB) shows a good signal, but my experimental target shows no signal. What does this mean?
A: This result typically indicates that your assay worked technically, but your target RNA is not expressed in the sample above the detection limit. First, confirm that you used a positive control probe matched to your target's expected expression level (e.g., POLR2A for a low-expression target). If the control matching is correct, the result is biologically valid [1] [4].
Q: What should I do if my experimental sample has no signal for either my target or the positive control?
A: A failed positive control indicates a broader technical or sample quality issue. Troubleshoot by:
Q: My negative control (dapB) has a high background signal. What is the cause and solution?
A: Background in the negative control suggests non-specific binding or suboptimal tissue preparation. The most common solution is to reduce the protease digestion time, as over-digestion can increase background. Ensure your fixation time in 10% NBF was within the recommended 16-32 hours, as over-fixed tissues can also contribute to this problem [2] [8].
Q: How do I analyze and quantify my RNAscope results?
A: RNAscope results are analyzed by evaluating the number of punctate dots per cell, where each dot represents a single RNA molecule [5]. This can be done:
Q1: What does the RNAscope 0-4 scoring scale actually represent?
The RNAscope scoring system is a semi-quantitative method that estimates the number of target RNA molecules per cell. Each dot in the staining represents a single RNA transcript. The scoring scale is defined as follows [2]:
Table: RNAscope Scoring Guidelines
| Score | Criteria | Interpretation |
|---|---|---|
| 0 | No staining or <1 dot/10 cells | Negative/Negligible expression |
| 1 | 1-3 dots/cell | Low expression |
| 2 | 4-9 dots/cell; None or very few dot clusters | Moderate expression |
| 3 | 10-15 dots/cell; <10% dots are in clusters | High expression |
| 4 | >15 dots/cell; >10% dots are in clusters | Very high expression |
Q2: Should I count dots or measure staining intensity?
Always count the number of dots per cell rather than assessing signal intensity. The number of dots correlates directly with the number of RNA copies. Dot intensity reflects the number of probe pairs bound to each RNA molecule and is not a reliable indicator of transcript abundance [2] [5].
Q3: What is the difference between a dot and a cluster?
A dot typically represents a single mRNA molecule. A cluster results from overlapping signals from multiple mRNA molecules in close proximity. In high-expression scenarios (Score 4), it is expected that more than 10% of the dots will form clusters [2] [5].
Q4: What controls are absolutely necessary for correct interpretation?
ACD strongly recommends running three slides minimum per sample [5]:
A successful assay should show a PPIB or POLR2A score â¥2, or a UBC score â¥3, with a dapB score of <1, indicating low background [2] [11].
Q5: How do I choose the right positive control probe?
The choice depends on your target's expression level [1]:
Q6: My positive control has a good signal, but my target is negative. What does this mean?
This indicates that the assay was performed correctly, and the result is likely biologically accurateâyour target RNA is not expressed at detectable levels in the sample. Ensure you have chosen the correct positive control probe for your target's expected expression level [1] [11].
Q7: How do I score a sample with heterogeneous staining?
When cells show different expression levels, you must move beyond a single average score [19] [20]:
H-score = Σ (ACD score x percentage of cells per that score). This provides a single value from 0-400 that accounts for both intensity and distribution.Q8: My negative control (dapB) shows staining. What should I do?
Any signal in the dapB control indicates background or non-specific staining. You cannot trust your target probe results in this case. Re-optimize your pretreatment conditions (antigen retrieval and protease digestion times), as this often resolves background issues [2] [1].
Table: Key Materials for RNAscope Assay Success
| Item | Function & Importance | Source/Example |
|---|---|---|
| Positive & Negative Control Probes | Verifies assay performance and sample RNA quality. Critical for data interpretation. | ACD Bio (e.g., PPIB, POLR2A, dapB) [1] |
| Control Slides (Cell Pellets) | Provides a standardized sample to test technique before using precious tissue. | ACD Bio (Human Hela or Mouse 3T3 Cell Pellets) [11] |
| Superfrost Plus Slides | Prevents tissue detachment during the rigorous assay procedure. | Fisher Scientific [2] |
| ImmEdge Hydrophobic Barrier Pen | Maintains a barrier throughout the procedure to prevent slides from drying out. | Vector Laboratories [2] |
| HybEZ Oven | Maintains optimum humidity and temperature during critical hybridization steps. | ACD Bio [2] |
| Recommended Mounting Media | Preserves signal; media is specific to the detection assay (Brown vs. Red). | CytoSeal XYL (Brown); EcoMount or PERTEX (Red) [2] |
The diagram below outlines the critical steps for ensuring accurate scoring and interpretation of your RNAscope results.
Q9: How can I analyze co-expression of multiple targets in a single cell?
In multiplex assays, you can quantify cells positive for one, the other, or both targets [19]:
Q10: What are the options for quantitative analysis beyond the 0-4 score?
For more precise quantification, especially in heterogeneous samples, you can use [19] [4]:
In the rigorous landscape of spatial biology and biomarker validation, the accurate interpretation of RNAscope in situ hybridization (ISH) results hinges on robust internal controls. These controls are not merely procedural steps; they are the foundational metrics that determine whether experimental data is reliable and biologically meaningful. This guide establishes a framework for defining a successful experiment using the benchmark criteria of PPIB or POLR2A scores â¥2 and a dapB score <1 [1] [2]. Adherence to these thresholds is a critical best practice, ensuring that observed signals stem from true target gene expression rather than technical artifact or compromised sample quality. Within the broader thesis of RNAscope control probe interpretation research, this benchmark serves as the essential quality gate, enabling researchers and drug development professionals to advance their findings with confidence.
Q1: What does the benchmark "PPIB/POLR2A â¥2 and dapB <1" actually confirm in my experiment?
This benchmark simultaneously validates three critical aspects of your RNAscope assay:
dapB) confirms that any punctate staining observed with your target probe is specific hybridization and not due to non-specific background or incomplete suppression [1] [2].Q2: Why are there multiple positive control probes (PPIB, POLR2A, UBC), and how do I choose?
The positive control probes represent different expression levels, allowing you to match the control to your target of interest for a more rigorous assessment.
Table 1: RNAscope Positive Control Probes and Their Applications
| Control Probe | Expression Level (copies/cell)* | Recommended Use Case | Successful Staining Score |
|---|---|---|---|
| PPIB (Cyclophilin B) | Medium (10-30) | The most flexible and commonly recommended control for most tissues. It provides a rigorous control for sample quality and technical performance [1]. | â¥2 [2] |
| POLR2A | Low (3-15) | Used with low-expression targets or for proliferating tissues like tumors and certain non-tumor tissues (e.g., retinal, lymphoid) [1]. | â¥2 [2] |
| UBC (Ubiquitin C) | Medium/High (>20) | Used with high-expression targets. Not recommended for low-expression targets as its detection even in suboptimal conditions could give false confidence [1]. | â¥3 [2] |
The negative control probe dapB should yield a score of <1 in all cases [2].
Q3: My PPIB score is 0 or 1, but my negative control is clean (dapB <1). What does this indicate?
This combination typically points to an issue with sample RNA quality or inadequate pretreatment [1] [2]. The clean negative control suggests the assay itself was run properly, but the RNA in your sample is either degraded or not sufficiently exposed for the probes to hybridize. This is often observed in over-fixed tissues or samples with prolonged ischemic times [22]. You should focus on optimizing the pretreatment conditions (see Troubleshooting section).
Q4: I see a high background signal with my dapB negative control (score â¥1). What are the likely causes?
A high dapB score indicates non-specific background staining. Common causes include:
Q5: My controls pass, but my target probe shows no signal. What should I do?
First, confirm you are using the correct positive control. If your target is a low-expression gene, using the high-expression UBC probe as a control may not be sufficiently rigorous [1]. Switch to POLR2A to ensure your sample quality is adequate for detecting low-copy RNAs [4]. If controls are appropriate and pass, the result may be a true negative, indicating your target mRNA is not expressed in the sample.
Potential Causes and Solutions:
The following workflow outlines the systematic process for qualifying samples and troubleshooting pretreatment conditions to achieve the required control probe benchmarks:
Potential Causes and Solutions:
The following detailed methodology, cited in key validation studies, outlines how to qualify FFPE tissue samples for RNAscope analysis prior to running experimental target probes [2] [21] [24].
Objective: To verify that an FFPE tissue sample meets the required mRNA quality and technical standards for RNAscope ISH, defined by PPIB/POLR2A â¥2 and dapB <1.
Materials:
Procedure:
Scoring and Data Interpretation:
Table 2: RNAscope Semi-Quantitative Scoring Guidelines [2]
| Score | Criteria | Interpretation |
|---|---|---|
| 0 | No staining or <1 dot per 10 cells | Negative / Failed |
| 1 | 1-3 dots per cell (visible at 20-40x) | Low |
| 2 | 4-9 dots per cell; very few dot clusters | Moderate (PASS) |
| 3 | 10-15 dots per cell; <10% dots in clusters | High (PASS) |
| 4 | >15 dots per cell; >10% dots in clusters | Very High (PASS) |
Table 3: Key Reagents and Materials for RNAscope QC Experiments
| Item | Function / Importance | Example / Note |
|---|---|---|
| Control Probes (PPIB, POLR2A, dapB) | Assess technical performance, RNA quality, and background. The cornerstone of sample qualification. | ACDbio Cat. #s; dapB is a universal negative control [1]. |
| Superfrost Plus Slides | Provides superior tissue adhesion to prevent detachment during stringent assay steps. | Fisher Scientific; required as other slides may fail [2]. |
| ImmEdge Hydrophobic Barrier Pen | Creates a barrier to maintain reagent volume and, critically, prevent tissue drying which causes high background. | Vector Laboratories Cat. # H-4001; the only pen recommended for the procedure [2]. |
| HybEZ Hybridization System | Maintains optimum humidity and temperature (40°C) during hybridization and amplification steps. | Essential for manual assays to ensure consistent results [2]. |
| RNAscope Pretreatment Reagents | Unmask target RNA by reversing cross-links and permeabilizing the cell membrane. | Includes Target Retrieval, Hydrogen Peroxide, and Protease (Plus, III, IV). Key to optimization [23]. |
| Appropriate Mounting Media | Preserves staining and enables clear microscopy. | Critical: Use xylene-based for Brown assays; EcoMount/PERTEX for Red assays [2]. |
| Bufospirostenin A | Bufospirostenin A, MF:C27H40O4, MW:428.6 g/mol | Chemical Reagent |
| Phainanoid A | Phainanoid A, MF:C38H42O8, MW:626.7 g/mol | Chemical Reagent |
Transitioning the highly sensitive RNAscope in situ hybridization assay from manual to automated platforms on Ventana and Leica Biosystems instruments enhances reproducibility but requires rigorous control strategies. Within the context of research on RNAscope control probe result interpretation, establishing a robust quality control framework becomes paramount. Automated systems standardize the staining workflow, yet the interpretation of results remains fundamentally tied to the precise implementation of control probes to distinguish true signal from artifacts. This technical support center guide provides researchers, scientists, and drug development professionals with detailed troubleshooting and FAQs to ensure the accurate interpretation of control probe results, thereby validating the entire automated RNAscope experiment.
ACD recommends running a minimum of three slides per sample: one for your target marker, one with a positive control probe, and one with a negative control probe [5]. This combination allows for a comprehensive assessment of both the technical execution of the assay and the quality of the sample itself.
The table below outlines the recommended positive control probes for different experimental contexts:
Table 1: Positive Control Probes for RNAscope Assay Validation
| Positive Control Probe Gene | Expression Level (copies per cell) | Recommendations and Applications |
|---|---|---|
| UBC (Ubiquitin C) | Medium / High (>20) | Use with high-expression targets. Not recommended for low-expressing targets as it may give false negative results due to its ability to be detected even under suboptimal conditions [1]. |
| PPIB (Cyclophilin B) | Medium (10-30) | The most flexible and recommended option for most tissues. Provides a rigorous control for sample quality and technical performance [1]. |
| POLR2A | Low (3-15) | Use with low-expression targets. An alternative to PPIB for proliferating tissues like tumors, as well as retinal and lymphoid tissues [1]. |
For the negative control, ACD provides a universal probe targeting the bacterial DapB gene, which should not generate any signal in properly fixed and prepared tissue specimens [2] [1]. The successful performance of these controls is the first critical step in interpreting your target probe results.
The RNAscope assay uses a semi-quantitative scoring system based on the number of punctate dots per cell, where each dot represents a single mRNA molecule [5]. The scoring focuses on dot count, not signal intensity, as the count correlates directly with RNA copy numbers [2].
Table 2: RNAscope Semi-Quantitative Scoring Guidelines
| Score | Criteria | Interpretation |
|---|---|---|
| 0 | No staining or <1 dot/10 cells | Negative |
| 1 | 1-3 dots/cell | Low expression |
| 2 | 4-9 dots/cell; None or very few dot clusters | Moderate expression |
| 3 | 10-15 dots/cell; <10% dots are in clusters | High expression |
| 4 | >15 dots/cell; >10% dots are in clusters | Very high expression |
For an experiment to be considered valid, the positive control should typically yield a score of â¥2 for PPIB or â¥3 for UBC, with relatively uniform signal distribution. The negative control (DapB) should ideally score <1, indicating little to no background staining [2]. Clusters of dots can form when multiple mRNA molecules are in close proximity, but the critical parameter for scoring remains the number of distinct dots or clusters [5].
Figure 1: Control Probe Interpretation Workflow. This flowchart outlines the logical decision process for validating an RNAscope assay based on control probe results.
Key Instrument Considerations:
Reagent and Workflow Setup:
Standard Pretreatment Protocol:
Optimization for Challenging Samples:
Critical Reagent Notes:
Q1: What is the significance of dot size and intensity in RNAscope signal interpretation? A1: The primary parameter for scoring is the number of dots, as each dot represents a single mRNA transcript. Variation in dot size or intensity reflects the number of ZZ probes bound to the target molecule and is not a reliable indicator of expression level. Focus on dot count, not intensity [5].
Q2: Can my standard fluorescent microscope be used with the RNAscope assay? A2: Yes, the RNAscope Multiplex Fluorescent v2 Assay and HiPlex v2 Assay can be imaged using either an epi-fluorescent or confocal microscope equipped with the appropriate filters for the assigned fluorophores [5].
Q3: What is the difference between a dot and a cluster? A3: A dot typically represents a single mRNA molecule. A cluster results from overlapping signals from multiple mRNA molecules that are in very close proximity to each other. When scoring, clusters are still counted as individual transcription sites [5].
Q4: What are the key workflow differences between RNAscope and IHC on automated platforms? A4: While similar, key differences include: 1) No cooling step after antigen retrieval - slides should be placed directly in room temperature water. 2) A protease digestion step is included for tissue permeabilization, which must be maintained at 40°C. 3) Specific mounting media are required (e.g., EcoMount or PERTEX for Red and 2-plex assays) [2].
Table 3: Troubleshooting Common RNAscope Assay Problems
| Problem | Potential Causes | Solutions and Checks |
|---|---|---|
| No Staining or Weak Signal on Target and Positive Control | Incomplete protease permeabilization, degraded RNA, improper reagent handling | - Optimize protease time/temperature [2].- Verify RNA quality with positive control [1].- Ensure reagents are at correct temperature before application [2]. |
| High Background on All Slides (Including Negative Control) | Over-digestion with protease, insufficient washing, non-specific binding | - Reduce protease incubation time [2].- Ensure wash buffers are fresh and volumes are adequate.- Verify hydrophobic barrier pen integrity to prevent drying [2]. |
| Uneven Staining Across Tissue Section | Incomplete tissue coverage by reagent, tissue drying during protocol, hydrophobic barrier failure | - Confirm adequate reagent volume covers entire section.- Do not let slides dry out between steps [2].- Use only ImmEdge Hydrophobic Barrier Pen [2]. |
| Control Probes Perform Well, But Target Probe Fails | Target probe issue, low target expression, inappropriate positive control selection | - Confirm probe specificity and dilution.- Use a positive control probe (e.g., POLR2A) matched to your target's expression level [1]. |
Success in automated RNAscope relies on using the correct, high-quality materials. The following table details essential items and their functions.
Table 4: Essential Research Reagent Solutions for Automated RNAscope
| Item | Function / Purpose | Critical Notes |
|---|---|---|
| Superfrost Plus Slides | Provides electrostatic charge for superior tissue adhesion during stringent assay steps. | Required to prevent tissue detachment; other slide types may fail [2]. |
| ImmEdge Hydrophobic Barrier Pen | Creates a hydrophobic barrier around the tissue section to contain reagents and prevent drying. | The only barrier pen recommended to maintain a barrier throughout the entire procedure [2]. |
| Positive & Negative Control Probes (PPIB, dapB) | Assesses sample RNA quality and technical assay performance. | Run a minimum of 3 slides per sample: target, positive control, and negative control [5] [1]. |
| HybEZ Hybridization System | Maintains optimum humidity and temperature (40°C) during critical hybridization steps. | Required for the assay to ensure specific hybridization and prevent evaporation [2]. |
| EcoMount or PERTEX Mounting Media | Preserves and protects the stained tissue section under a coverslip. | Required for RNAscope 2.5 HD Red and 2-plex assays; other media may be suboptimal [2]. |
| Fresh 10% NBF (Neutral Buffered Formalin) | Ideal fixative for tissue preservation prior to processing and embedding. | Recommended fixation: 16-32 hours in fresh 10% NBF for optimal RNA integrity [2]. |
| BRD4 Inhibitor-17 | BRD4 Inhibitor-17, MF:C16H16FN3O3S, MW:349.4 g/mol | Chemical Reagent |
| 7-O-Methylporiol | 7-O-Methylporiol, MF:C17H16O5, MW:300.30 g/mol | Chemical Reagent |
Figure 2: Critical RNAscope Workflow Checklist. This diagram highlights the key, non-negotiable steps (green and red) in the automated RNAscope workflow that are crucial for assay success and valid control probe interpretation.
Unexpected results from control probes are a critical juncture in any RNAscope experiment. They are not merely a procedural step but a primary diagnostic tool, providing a definitive assessment of both your sample quality and the technical execution of the assay. Interpreting these results within the broader context of pharmacodynamic assay validation is essential, as consistent and reliable data is the foundation upon which drug development decisions are made [25]. This guide provides a systematic framework to troubleshoot unexpected control results, transforming them from a source of frustration into a powerful diagnostic signal.
A proper control scheme runs three slides minimum per sample: your target marker panel, a positive control probe, and a negative control probe [5]. The positive control, typically targeting a housekeeping gene like PPIB, POLR2A, or UBC, verifies that the RNA in your tissue specimen is of sufficient quality and accessibility for detection. The negative control, typically the bacterial dapB gene, confirms the specificity of the signal and that the tissue specimen was appropriately prepared [5] [1].
The first step is to correlate the observed signals from your positive and negative controls. The table below outlines common scenarios and their primary interpretations.
| Positive Control Signal | Negative Control Signal | Diagnostic Interpretation | Recommended Investigation |
|---|---|---|---|
| Low/No Signal [4] | Low/No Signal [2] | Assay Procedure Failure: A fundamental breakdown in the assay protocol or reagent system. | Verify reagent order and expiration; confirm all amplification steps were performed; check equipment (e.g., HybEZ oven temperature at 40°C) [2]. |
| Low/No Signal [2] [1] | High Background [2] [1] | Suboptimal Pretreatment & Poor RNA Quality: Over-fixation or under-digestion masks RNA, while excessive protease treatment increases non-specific background. | Systematically optimize pretreatment conditions (protease and retrieval times) using control slides [2] [3]; assess RNA integrity. |
| Strong Signal [1] | High Background | Excessive Assay Signal or Nonspecific Binding: The assay conditions are too aggressive, leading to non-specific probe binding. | Increase wash stringency; validate all reagent lots; ensure fresh wash buffers are used [2] [25]. |
| Strong Signal [1] | Low/No Signal [1] | Ideal Outcome: The assay has performed correctly, and the sample is of good quality. Proceed with confidence in your target probe results. | No action required. |
When controls indicate a failure, a logical, step-by-step investigation is required. The following diagram maps this diagnostic pathway.
A simultaneous failure of both positive and negative controls often points to a global technical issue.
Reagent Integrity and Protocol Adherence:
Instrument-Specific Checks:
Discordant control results (e.g., low positive signal with high negative background) frequently originate from sample preparation.
Tissue Fixation and Pretreatment:
Systematic Pretreatment Optimization: Use your control slides (e.g., Human Hela Cell Pellet) with positive and negative probes to establish ideal conditions for your specific tissue [2] [1].
Lot-to-lot variability of research-grade reagents is a significant, often overlooked, source of assay failure [25].
| Item | Function & Importance |
|---|---|
| Positive Control Probes (PPIB, POLR2A, UBC) | Verify sample RNA integrity and assay performance. Select based on target expression: POLR2A for low, PPIB for medium, and UBC for high expression targets [1]. |
| Negative Control Probe (dapB) | A bacterial gene probe that determines background levels and confirms assay specificity. A score of <1 is required for a valid assay [5] [1]. |
| Control Slides (HeLa/3T3 Cell Pellets) | Pre-validated cell pellets used to troubleshoot technique and optimize pretreatment conditions before using precious patient samples [2] [1]. |
| HybEZ Hybridization System | Maintains optimum humidity and temperature (40°C) during critical hybridization steps, which is required for a consistent and successful assay [2]. |
| ImmEdge Hydrophobic Barrier Pen | The only pen recommended to maintain a complete hydrophobic barrier throughout the procedure, preventing slides from drying out [2]. |
| TF-3-G-cThea | TF-3-G-cThea, MF:C42H37NO17, MW:827.7 g/mol |
Q: My positive control (PPIB) shows a score of 1, and my negative control (dapB) has a score of 0. Is my assay valid? A: A PPIB score of 1 (1-3 dots/cell) is below the recommended threshold of â¥2 [2] [1]. This indicates suboptimal conditions, likely due to mild under-permeabilization or moderate RNA degradation. While your target probe may work, the risk of false negatives is high. You should optimize pretreatment conditions to improve the positive signal before running critical experiments.
Q: What does it mean if I see large clusters of dots instead of distinct, punctate dots? A: RNAscope signal is detected as punctate dots, with each dot representing a single mRNA molecule [5]. Clusters form when multiple mRNA molecules are in very close proximity. For scoring, a cluster is still counted as a single transcription site, but if more than 10% of dots are in clusters in a high-expressing gene (score 4), it can complicate accurate quantification [5] [2].
Q: I have followed the protocol exactly, but my experimental sample has no signal while my controls are perfect. What should I do? A: First, confirm you are using the appropriate positive control. If your target is low-expression, use the POLR2A probe, as the more highly expressed UBC may give a false sense of security about assay sensitivity [1] [4]. Second, verify the expression level of your target in your specific tissue type; the gene simply may not be expressed.
Q: How critical is it to use the exact mounting media specified in the protocol? A: It is mandatory. Using an incorrect mounting medium can quench the signal, cause fading (in fluorescent assays), or dissolve the precipitate (in chromogenic assays). For example, the RNAscope 2.5 HD Red assay requires EcoMount or PERTEX, while the Brown assay requires a xylene-based mounting medium like CytoSeal [2] [3].
In RNAscope in situ hybridization (ISH), obtaining no signal from your positive control probes is a critical troubleshooting point that indicates a fundamental issue with the assay setup, sample RNA quality, or pretreatment conditions. Unlike a failed experimental target, a failed positive controlâsuch as probes for housekeeping genes PPIB, POLR2A, or UBCâinvalidates the entire experiment. This guide systematically addresses the root causes of this problem, focusing on the interplay between sample preparation, fixation, and protease optimization to restore robust detection of RNA in your tissues.
Before troubleshooting, it is essential to confirm you are using the appropriate positive control. Different controls are recommended based on your target's expression level and tissue type.
Table: Guide to Selecting RNAscope Positive Control Probes
| Control Probe | Expression Level (Copies/Cell) | Recommended Use Case |
|---|---|---|
| UBC (Ubiquitin C) | High (>20) | Use with high-expression targets. Not recommended for low-expression targets as it may give false negatives. |
| PPIB (Cyclophilin B) | Medium (10-30) | The most flexible and commonly used option for most tissues [1]. |
| POLR2A | Low (3-15) | Use with low-expression targets, proliferating tissues (e.g., tumors), or specific tissues like retinal and lymphoid [1]. |
Interpreting Control Results: A successful assay requires a positive control score of â¥2 for PPIB/POLR2A or â¥3 for UBC, coupled with a negative control (dapB) score of <1 [2] [3]. Failure to meet these criteria for the positive control necessitates the troubleshooting steps outlined below.
Follow this logical workflow to diagnose and resolve the issue of no signal in positive controls.
Fixation is the foundation of a successful RNAscope assay. Deviations from the recommended protocol directly impact RNA integrity and accessibility.
Table: Impact of Fixation Errors on RNAscope Assay
| Fixation Issue | Impact on Assay | Corrective Action |
|---|---|---|
| Under-Fixation (<16 hours in 10% NBF) | Leads to protease over-digestion, resulting in loss of RNA and poor tissue morphology [27]. | Ensure fixation in fresh 10% Neutral Buffered Formalin (NBF) for 16â32 hours at room temperature. Do not fix at 4°C [27] [11]. |
| Over-Fixation (>32 hours) | Leads to excessive cross-linking, causing protease under-digestion. This results in poor probe accessibility, low signal, and low signal-to-background ratio, though morphology may be excellent [27]. | Requires extended pretreatment times (see Section 4.3). |
| Incorrect Fixative | Use of suboptimal fixatives can degrade RNA. | ACD highly recommends 10% NBF. While 4% PFA can be used for fixed-frozen tissue, 10% NBF is the gold standard for FFPE [27] [28]. |
Before altering sample-specific protocols, you must rule out general assay failure.
If fixation is suboptimal or unknown, pretreatment is your primary lever for optimization. The goal is to balance RNA exposure with tissue preservation.
Optimization Workflow:
Table: Key Materials for RNAscope Assay Success
| Item | Function & Importance | Recommendation |
|---|---|---|
| SuperFrost Plus Slides | Provides superior tissue adhesion to prevent detachment during the assay [2] [11]. | Fisher Scientific. Do not use other slide types. |
| ImmEdge Hydrophobic Barrier Pen | Creates a barrier to maintain reagent volume over tissue and prevent drying, which can cause high background [2]. | Vector Laboratories (Cat. No. 310018). The only pen validated for the procedure. |
| HybEZ Oven | Maintains optimum humidity and temperature (40°C) during critical hybridization and protease steps [2]. | Required for manual assay steps. |
| RNAscope Protease Plus | Enzyme for tissue permeabilization and unmasking RNA targets by degrading cross-linked proteins. Treatment time is a key optimization variable [28]. | Part of the RNAscope Universal Pretreatment Kit. |
| RNAscope Target Retrieval | Buffer used with heat to reverse cross-links from fixation, making RNA more accessible to probes [23]. | Not required for fresh frozen tissue. |
| Appropriate Mounting Media | Preserves staining for microscopy. | Brown Assay: Xylene-based (e.g., CytoSeal). Red/Duplex Assay: EcoMount or PERTEX [2]. |
Q1: My experimental sample has no signal, but the positive control on my own slide worked. What should I do?
Q2: I don't know how my tissue was fixed or processed. How can I possibly optimize?
Q3: I optimized and got a great PPIB signal, but my experimental target is still weak. Why?
Q4: Should I be using RNase-free reagents during the RNAscope assay?
A guide to diagnosing and fixing high background signal in your RNAscope negative controls, ensuring the specificity of your data.
A high background signal in your negative control (typically the bacterial dapB gene) indicates non-specific staining that can compromise your experiment's validity [1] [11]. This problem almost always points to issues during the initial stages of the assay: sample preparation, permeabilization, or hybridization [2] [3]. Proper interpretation is criticalâsuccessful staining requires a dapB score of <1 (less than 1 dot per 10 cells), alongside a strong positive control signal (e.g., PPIB score â¥2 or UBC score â¥3) [2] [11] [3].
The table below summarizes the primary causes of high background and their specific solutions.
Table 1: Troubleshooting High Background in RNAscope Negative Controls
| Root Cause | Underlying Issue | Recommended Solution |
|---|---|---|
| Incomplete Protease Digestion [2] | Under-permeabilization prevents probe access to target RNA, causing non-specific binding. | Increase protease treatment time in 5-10 minute increments [2] [3]. Ensure temperature is maintained at 40°C during this step [2]. |
| Over-Permeabilization [2] | Excessive protease digestion damages tissue and RNA, leading to non-specific trapping of probes. | Decrease protease treatment time. For automated systems, reduce protease time in 5-10 minute increments [2] [3]. |
| Suboptimal Antigen Retrieval [2] | Improper epitope retrieval can contribute to background by failing to properly expose target RNA. | Adjust epitope retrieval conditions. On automated systems, try a milder retrieval (15 min ER2 at 88°C) or increase time in 5-minute increments at 95°C [2] [3]. |
| Probe or Wash Buffer Handling [2] | Probes or wash buffer that have precipitated or are not at the correct temperature can cause high, non-specific signal. | Always warm probes and wash buffer to 40°C before use to re-dissolve any precipitates [2]. |
| Sample Over-fixation [2] [11] | Tissues fixed for longer than the recommended 16-32 hours in 10% NBF can be challenging to permeabilize properly. | Optimize pretreatment conditions. Systematically extend both epitope retrieval and protease times to open up the over-fixed tissue [2] [3]. |
| Slide Drying [2] | Allowing the tissue section to dry out at any point, especially after the hydrophobic barrier is drawn, causes severe non-specific binding. | Ensure the hydrophobic barrier remains intact and that slides are never left without solution during the assay [2]. |
Figure 1: A systematic decision tree for diagnosing and resolving high background in RNAscope negative controls.
For manual assays where background is an issue, follow this optimized pretreatment workflow [2]:
Research on challenging samples like cardiomyocytes suggests a refined approach for co-detection experiments [29]:
Always interpret your results by comparing the target probe to both the positive and negative controls using a semi-quantitative scoring system. Score the number of punctate dots per cell, not the signal intensity [2] [11] [3].
Table 2: RNAscope Scoring Guidelines for Control Probes
| Score | Criteria (Dots per Cell) | Interpretation for Controls |
|---|---|---|
| 0 | No staining or <1 dot/10 cells | Ideal for dapB (negative control) [2] [3] |
| 1 | 1-3 dots/cell | Acceptable for dapB (score <1) [11] |
| 2 | 4-9 dots/cell; no/few clusters | Minimum for PPIB/POLR2A (positive control) [2] [11] |
| 3 | 10-15 dots/cell; <10% clusters | Minimum for UBC (positive control) [2] [11] |
| 4 | >15 dots/cell; >10% clusters | Expected for a high-expression positive control. |
Select a positive control probe that matches the expression level of your target gene to accurately qualify your sample and assay performance [1].
Table 3: Key Reagents for RNAscope Troubleshooting
| Item | Function & Importance in Troubleshooting |
|---|---|
| Control Probes (dapB, PPIB, UBC, POLR2A) | Essential for every run. dapB confirms assay specificity; housekeeping genes (PPIB, etc.) verify RNA integrity and technique [2] [1] [11]. |
| Protease III | The key enzyme for tissue permeabilization. Its incubation time and temperature are the primary levers for reducing background [2] [29]. |
| Superfrost Plus Slides | Required to prevent tissue detachment, especially during extended optimization protocols [2] [11]. |
| ImmEdge Hydrophobic Barrier Pen | The only pen recommended to maintain a secure barrier throughout the procedure, preventing slide drying and associated background [2]. |
| HybEZ Oven | Maintains optimum humidity and temperature (40°C) during hybridization and key incubation steps, ensuring consistency and preventing evaporation [2] [29]. |
| Fresh Ethanol & Xylene | Old or contaminated stocks can introduce artifacts and increase background. Always use fresh reagents for deparaffinization [2] [3]. |
This pattern typically indicates under-permeabilization [2]. The protease treatment may not have been long or effective enough to allow probe access to the specific target RNA, leading to weak true signal and high non-specific background. Focus on increasing the protease treatment time as your first step.
For tissues fixed for longer than the recommended 32 hours, you will need a more aggressive pretreatment [2] [3]. On automated systems like the Leica BOND RX, systematically increase both Epitope Retrieval 2 (ER2) time and Protease timeâfor example, from the standard 15min ER2/15min Protease to 20min ER2/25min Protease, and then to 25min ER2/35min Protease if needed [2] [3].
Yes. If probes or wash buffer are not stored properly or are used without pre-warming, precipitation can occur. This precipitation can lead to non-specific deposition and high background signal [2]. Always warm probes and wash buffer to 40°C before use to ensure they are fully in solution.
In RNA in situ hybridization research, the interpretation of data hinges on the quality of the signal. Suboptimal signals can lead to false negatives or false positives, compromising experimental conclusions. This guide, framed within a broader thesis on RNAscope control probe results interpretation, provides a systematic approach to diagnosing and correcting signal issues through antigen retrieval and pretreatment optimization. The proper use of control probes is not merely a quality control step but a fundamental diagnostic tool that guides researchers in adjusting key assay parameters to achieve reliable, publication-quality results. By establishing a rigorous framework for troubleshooting, scientists and drug development professionals can ensure the accuracy and reproducibility of their spatial gene expression data, thereby advancing discovery and development pipelines.
Before adjusting any protocol parameters, you must first correctly interpret the results from your positive and negative control probes. This diagnostic step is crucial for identifying the root cause of suboptimal signal. Compare your target gene expression with both negative (dapB) and positive controls (PPIB, UBC, or POLR2A). Successful staining should have a PPIB/POLR2A score â¥2 or UBC score â¥3 and a dapB score <1 [11] [3].
Table 1: Diagnostic Interpretation of Control Probe Results
| Positive Control Signal | Negative Control Signal | Target Probe Signal | Interpretation | Primary Issue |
|---|---|---|---|---|
| Low (<2 for PPIB/POLR2A, <3 for UBC) | Low (<1) | Low | Poor RNA quality or suboptimal pretreatment | Sample/RNA Quality |
| Low (<2 for PPIB/POLR2A, <3 for UBC) | High (â¥1) | Low/High | Excessive protease activity or insufficient background suppression | Over-Pretreatment |
| Strong (â¥2 for PPIB/POLR2A, â¥3 for UBC) | High (â¥1) | Variable | High background/non-specific binding | Background Noise |
| Strong (â¥2 for PPIB/POLR2A, â¥3 for UBC) | Low (<1) | Low | Target-specific issue (low expression, probe design) | Target Expression |
The RNAscope assay uses a semi-quantitative scoring system that focuses on the number of dots per cell rather than signal intensity, as the dot count correlates directly with RNA copy numbers [2] [3]. When your control results point to pretreatment issues, follow the logical troubleshooting pathway outlined below.
Low signal intensity with minimal background (positive control score <2, negative control score <1) typically indicates insufficient RNA exposure due to under-pretreatment or RNA degradation [2] [12].
Solution: Increase antigen retrieval and/or protease treatment times systematically:
High background in the negative control (dapB score â¥1) indicates non-specific binding, often caused by over-pretreatment or excessive protease activity [2].
Solution: Reduce protease exposure and optimize retrieval:
Deviation from recommended fixation protocols (16-32 hours in fresh 10% NBF) requires pretreatment optimization [11] [12].
Solution: Adjust retrieval conditions based on fixation quality:
Uneven staining often results from inconsistent protease activity, inadequate hydration, or section thickness variation.
Solution:
Follow this systematic approach when initial control probe results indicate the need for optimization:
Table 2: Antigen Retrieval and Protease Optimization Parameters
| Tissue Condition | Antigen Retrieval Time Adjustment | Protease Treatment Time Adjustment | Expected Outcome |
|---|---|---|---|
| Standard (Properly Fixed) | 5 min at 100°C (Reference) | 30 min at 40°C (Reference) | PPIBâ¥2, dapB<1 |
| Over-fixed (>32 hours in NBF) | Increase by 5-10 min | Increase by 10-15 min | Improved target signal |
| Under-fixed (<16 hours in NBF) | No change or decrease 2-3 min | Decrease by 5-10 min | Reduced background |
| Dense Tissue (e.g., muscle) | Increase by 5 min | Increase by 10 min | Improved penetration |
| Delicate Tissue (e.g., lymph) | Decrease by 2-3 min | Decrease by 5-10 min | Preserved morphology |
For automated systems, precise parameter adjustment is critical:
For Leica BOND RX system:
For Ventana DISCOVERY systems:
Table 3: Key Research Reagents for RNAscope Troubleshooting
| Reagent/Category | Function & Application | Specific Examples & Notes |
|---|---|---|
| Control Probes | Assess RNA quality, specificity, and technique | PPIB (medium copy: 10-30/cell), POLR2A (low copy: 3-15/cell), UBC (high copy: >20/cell), dapB (negative control) [1] |
| Protease Reagents | Permeabilize membranes, unmask RNA targets | RNAscope Protease Plus, Protease III, Protease IV; selection depends on sample type [23] |
| Detection Kits | Signal generation for different platforms | RNAscope 2.5 HD Brown/Red, Multiplex Fluorescent; BOND Polymer Refine Detection (for Leica) [2] [3] |
| Slide System | Tissue adhesion during stringent conditions | Fisher Scientific SuperFrost Plus Slides (required to prevent tissue loss) [11] [2] |
| Mounting Media | Signal preservation and section mounting | CytoSeal XYL (Brown assay); EcoMount or PERTEX (Red/2-plex assays) [2] [3] |
| Barrier Pen | Create hydrophobic barrier during manual assay | ImmEdge Hydrophobic Barrier Pen (Vector Laboratories Cat. No. 310018) [2] |
Correcting suboptimal signal in RNAscope assays requires a methodical approach centered on proper interpretation of control probe results. By understanding the diagnostic information provided by positive and negative controls, researchers can make targeted adjustments to antigen retrieval and pretreatment conditions rather than relying on arbitrary protocol modifications. The framework presented in this guideâdiagnosing through controls, implementing systematic adjustments, and verifying with proper reagentsâenables researchers to transform ambiguous staining results into reliable, interpretable data. Through this rigorous approach to troubleshooting, scientists can advance their research with greater confidence in their spatial gene expression results, contributing valuable findings to the broader scientific community engaged in RNAscope technology and its applications in drug development and basic research.
Why is proper control validation essential for robust RNAscope data? In situ RNA analysis using RNAscope technology provides unparalleled spatial gene expression information at single-molecule resolution. However, the technical complexity of the method necessitates rigorous validation using control probes to distinguish true biological signals from artifacts. Control probes serve as the foundation for objective data interpretation, enabling researchers to verify RNA integrity, assess assay specificity, and confirm proper technical execution. Without proper control validation, even the most sophisticated image analysis pipelines can produce misleading results, potentially compromising experimental conclusions and drug development decisions.
The integration of automated image analysis tools like HALO and QuPath has revolutionized control validation by replacing subjective visual assessment with quantitative, reproducible metrics. These platforms enable researchers to extract precise numerical data from control samples, establishing objective thresholds for assay acceptance and creating standardized validation protocols across experiments and laboratories. This technical support center provides comprehensive guidance for implementing these tools specifically for control validation within RNAscope workflows, addressing common challenges through troubleshooting guides and FAQs directly relevant to researchers, scientists, and drug development professionals.
What controls are necessary for proper RNAscope experiment interpretation? ACD recommends running three slides minimum per sample: your target marker panel, a positive control, and a negative control probe [5]. Each control type serves a distinct purpose in validating different aspects of assay performance, as detailed in the table below.
Table 1: Essential Control Probes for RNAscope Validation
| Control Type | Target | Purpose | Interpretation of Valid Results |
|---|---|---|---|
| Positive Control | Housekeeping genes (PPIB, POLR2A, UBC) | Verify RNA integrity and assay technique [2] [17] | PPIB score â¥2; UBC score â¥3 with uniform signal distribution [2] |
| Negative Control | Bacterial dapB gene | Assess background and non-specific binding [5] [2] [9] | Score <1 indicating minimal to no background staining [2] |
| Target Probe | Gene of interest | Experimental measurement | Must be interpreted in context of positive/negative control performance |
The positive control probe validates that the sample preparation and RNA preservation are adequate for detection. The most commonly used positive control is PPIB (peptidylprolyl isomerase B) for target genes with moderate expression levels (10-30 copies per cell), while Polr2A is used for genes with low expression (3-15 copies per cell), and UBC for highly expressed genes [17]. Successful detection of these controls confirms that the tissue RNA quality is sufficient for detecting your RNA target [5].
The negative control probe utilizes the bacterial gene dapB (dihydrodipicolinate reductase) to determine whether the tissue specimen is appropriately prepared for RNAscope assays [5]. This control should not generate signal in properly fixed tissue, and its failure (high background signal) indicates technical issues with the assay procedure that must be addressed before interpreting experimental results [2].
How should I interpret the dots and clusters in my control samples? RNAscope signal is detected as punctate dots, with each dot representing a single copy of an mRNA molecule [5]. The critical parameter for quantification is the number of dots, not their intensity or size, as intensity variations reflect differences in the number of ZZ probes bound to a target molecule rather than the number of transcripts [5]. Clusters can result from overlapping signals from multiple mRNA molecules that are in close proximity to each other, which is particularly common for highly expressed genes [5].
The established RNAscope scoring system provides a semi-quantitative framework for evaluation, though this can be enhanced through quantitative image analysis:
Table 2: Traditional RNAscope Scoring Guidelines [2]
| Score | Criteria |
|---|---|
| 0 | No staining or <1 dot/10 cells |
| 1 | 1-3 dots/cell |
| 2 | 4-9 dots/cell; none or very few dot clusters |
| 3 | 10-15 dots/cell and <10% dots are in clusters |
| 4 | >15 dots/cell and >10% dots are in clusters |
For a validated assay, control samples should fall within expected score ranges: positive controls should typically score â¥2 for PPIB or â¥3 for UBC, while negative controls (dapB) should score <1 [2]. It's important to note that manual scoring requires assessment of multiple representative regions to obtain a comprehensive result, whereas image analysis software can provide more objective and comprehensive quantification across entire tissue sections [17].
Can open-source software provide robust control validation for RNAscope? QuPath (Quantitative Pathology) is an open-source software that provides automated quantitative and semi-quantitative analysis of whole slide images [30]. For RNAscope control validation, QuPath offers a complete workflow for spatial RNA analysis starting from color deconvolution, through cell detection, subcellular probe identification, and classification, all the way to final cell-by-cell RNA quantification [30].
Key features of QuPath specifically relevant to control validation include:
For proper visualization of control samples in QuPath, the Brightness/Contrast tool provides essential display adjustments. The software allows toggling individual channels on and off using number keys for rapid assessment of multiplexed controls [31]. When analyzing control results, it's crucial to set appropriate display ranges using the Min display and Max display sliders to ensure accurate visual assessment without clipping important signal information [31].
How can HALO streamline control validation in high-throughput studies? HALO from Indica Labs is a quantitative image analysis platform widely used in both academic and industrial settings, including as the in-house analysis software at ACD [5] [32]. The platform offers specific modules for RNAscope analysis, including the FISH-IF module for fluorescent ISH and the ISH module for brightfield applications [32].
For control validation, HALO provides several distinct advantages:
HALO's quantitative approach enables researchers to establish precise acceptance criteria for control samples, such as minimum dot counts per cell for positive controls and maximum background thresholds for negative controls. This objective validation is particularly valuable in regulated environments and multi-center studies where standardization is critical.
Q: My positive control shows weak or absent signal despite proper tissue morphology. What are the potential causes? A: Weak positive control signal can result from several technical issues:
Q: My negative control (dapB) shows elevated background signal. How can I reduce this non-specific staining? A: Elevated negative control signal indicates non-specific background, which can be addressed by:
Q: How can I distinguish true signal from autofluorescence in fluorescent RNAscope controls? A: Autofluorescence can be distinguished from true signal through:
What systematic approach should I follow when control validation fails? The following workflow provides a logical troubleshooting path for addressing control validation failures:
Protocol: Establishing Quantitative Benchmarks for Control Probes Using HALO This protocol enables the transformation of semi-quantitative control scoring into objective, quantitative metrics suitable for high-throughput screening and regulated environments.
Materials and Equipment:
Methodology:
Tissue Segmentation
Dot Detection and Quantification
Validation Metrics Export
Acceptance Criteria Establishment
Troubleshooting Notes:
Protocol: Automated Batch Analysis of Control Samples in QuPath This protocol leverages QuPath's scripting capabilities to efficiently process multiple control samples, ensuring consistent analysis and reducing inter-operator variability.
Materials and Equipment:
Methodology:
Script Configuration for Control Analysis
Batch Processing Execution
Data Aggregation and Reporting
Validation Against Manual Scoring
Technical Notes:
Table 3: Essential Research Reagents for RNAscope Control Validation
| Reagent/Equipment | Function | Considerations for Control Validation |
|---|---|---|
| RNAscope HiPlex Positive Control Probes (Species-specific) [33] | Verify assay performance and RNA quality | Select based on species (Human, Mouse, Rat) and expected expression level [17] |
| RNAscope Negative Control Probe (dapB) [33] | Assess non-specific background and background noise | Should show minimal staining (<1 dot/10 cells) in validated assays [2] |
| HybEZ Hybridization System [2] | Maintain optimum humidity and temperature during assay | Critical for reproducible control results; prevents tissue drying [2] |
| ImmEdge Hydrophobic Barrier Pen [2] | Create barrier to prevent reagent spread | Only this specific pen is recommended; others may fail during procedure [2] |
| Superfrost Plus slides [2] | Tissue adhesion | Essential to prevent tissue detachment, especially during automated processing |
| HALO Image Analysis Platform [32] | Quantitative analysis of control samples | Provides high-throughput, reproducible quantification for objective validation |
| QuPath Software [30] | Open-source alternative for control analysis | Suitable for automated batch processing of control samples |
How should control validation be adapted for multiplex RNAscope applications? Multiplex RNAscope assays, including the RNAscope HiPlex v2 assay capable of detecting up to 12 targets, present unique challenges for control validation [33]. In these complex workflows, validation should include:
Channel-Specific Validation: Each fluorescent channel should be validated individually using appropriate controls to account for variations in fluorophore performance and detection efficiency.
Registration Controls: For multi-round detection methods like HiPlex, include controls to verify accurate image registration between rounds [33].
Fluorophore-Specific Considerations: Assign controls based on fluorophore characteristics:
Cross-Talk Assessment: Include controls to measure potential bleed-through between channels, particularly when expanding beyond 4-plex assays.
The complexity of multiplex control validation significantly benefits from automated image analysis platforms. HALO's FISH-IF module can simultaneously analyze an unlimited number of fluorescently-labeled RNA ISH probes [32], while QuPath offers analysis of single, duplex, multiplex, or higher plexing experiments [30]. Both platforms provide the computational capabilities necessary for the sophisticated analysis required in multiplex control validation.
Can RNAscope controls be validated alongside other molecular techniques? RNAscope control validation can be enhanced through correlation with complementary techniques:
IHC Correlation: Compare RNAscope positive controls with IHC for the same targets when antibodies are available. Note that concordance rates between RNAscope and IHC typically range from 58.7-95.3% due to differences in what each technique measures (RNA vs. protein) [17].
qPCR Validation: Establish correlation between RNAscope dot counts and qPCR expression levels for control genes. Systematic reviews have shown high concordance rates (81.8-100%) between RNAscope and qPCR/qRT-PCR [17].
Tissue Quality Metrics: Integrate control performance with tissue quality assessment tools to establish minimum RNA quality thresholds for assay acceptance.
The integration of multiple validation approaches strengthens the overall assessment of control performance and provides a more comprehensive foundation for interpreting experimental results.
Effective control validation using image analysis tools is not merely a technical requirement but a fundamental component of rigorous RNAscope experimental design. By implementing the protocols, troubleshooting guides, and analytical frameworks presented in this technical support center, researchers can transform subjective assessments into quantitative, reproducible validation metrics.
The integration of HALO and QuPath into RNAscope workflows provides the objective analytical capabilities necessary for robust control validation in basic research, translational studies, and drug development applications. As RNAscope technology continues to evolve, particularly in multiplexing capabilities, the role of automated image analysis in control validation will become increasingly critical for ensuring data quality and experimental reproducibility.
Moving forward, researchers should establish laboratory-specific validation benchmarks based on their particular applications and tissue types, continuously refine acceptance criteria based on accumulating data, and leverage the advanced capabilities of image analysis platforms to push the boundaries of what can be reliably detected and quantified using RNAscope technology.
RNAscope is a powerful in situ hybridization (ISH) technology that enables the detection of target RNA within the intact morphological context of tissue, with each punctate dot representing a single mRNA transcript [19] [5]. While this provides invaluable spatial information, researchers often need to correlate these semi-quantitative results with fully quantitative data from methods like droplet digital PCR (ddPCR) or single-nuclei RNA sequencing (snRNA-seq). This integration is crucial for validating findings, understanding absolute expression levels, and bridging the gap between spatial context and high-throughput quantification. This guide addresses the specific challenges and solutions for performing these correlations effectively, framed within the critical context of proper control probe interpretation.
What do the RNAscope scores mean? The RNAscope assay uses a semi-quantitative scoring system based on the number of dots per cell, not signal intensity [2] [3]. The number of dots correlates directly with the number of RNA copies, whereas dot intensity reflects only the number of probe pairs bound to each molecule [5] [11]. The standard scoring guideline is as follows:
Table 1: Standard RNAscope Scoring Guidelines [2] [3]
| Score | Criteria |
|---|---|
| 0 | No staining or <1 dot/10 cells |
| 1 | 1-3 dots/cell |
| 2 | 4-9 dots/cell. None or very few dot clusters |
| 3 | 10-15 dots/cell and <10% dots are in clusters |
| 4 | >15 dots/cell and >10% dots are in clusters |
Why are control probes non-negotiable for correlation studies? Before attempting any correlation with quantitative methods, you must first verify that your RNAscope data is reliable. Control probes are essential for this validation [11].
Troubleshooting FAQ: My controls didn't stain as expected. Can I still correlate my data? No. If your controls are out of range, your experimental data is not reliable for correlation.
A well-designed experiment is critical for generating meaningful correlations. The following workflow outlines the key steps from project planning to data analysis.
Diagram 1: Experimental workflow for correlating RNAscope with quantitative methods.
Define Your Cell Population of Interest: The accuracy of correlation depends on accurately matching the cell populations analyzed by each technique.
Plan for Sample Splitting: The most direct correlation comes from analyzing the same tissue sample. Ideally, split your sample for parallel processing:
To bridge the semi-quantitative gap, you can apply more rigorous analysis methods to your RNAscope images.
When gene expression is not uniform (heterogeneous), a simple average score is insufficient. The H-score accounts for both the intensity of expression and the proportion of cells at each level [19].
Calculation: H-score = Σ (ACD score i * percentage of cells with score i)
Where i ranges from 0 to 4.
Table 2: Example H-Score Calculation for a Hypothetical Gene
| RNAscope Score (i) | Percentage of Cells (%) | Contribution to H-score |
|---|---|---|
| 0 | 20 | 0 * 20 = 0 |
| 1 | 30 | 1 * 30 = 30 |
| 2 | 40 | 2 * 40 = 80 |
| 3 | 10 | 3 * 10 = 30 |
| 4 | 0 | 4 * 0 = 0 |
| Total H-score | 140 |
For a truly quantitative approach, use image analysis software. ACD recommends tools like ImageJ, CellProfiler, QuPath, or HALO for this purpose [5]. The workflow involves:
This generates a continuous, quantitative dataset (dots/cell) that is ideal for statistical correlation with ddPCR (copies/µl) or snRNA-seq (normalized counts).
Principle: Compare the spatial expression level from RNAscope with the absolute RNA quantification from ddPCR.
Experimental Setup:
Correlation Analysis:
Troubleshooting FAQ: My RNAscope score and ddPCR data show a weak correlation. What went wrong?
Principle: Validate the expression patterns and levels of specific cell clusters identified in snRNA-seq data using spatial context from RNAscope.
Experimental Setup:
Correlation Analysis:
Troubleshooting FAQ: My snRNA-seq data shows high expression of a gene, but RNAscope shows low dots/cell. Why the discrepancy?
Table 3: Key Reagents for RNAscope Correlation Experiments
| Item | Function & Importance | Recommendation |
|---|---|---|
| HybEZ Oven | Maintains optimum humidity and temperature (40°C) during hybridization steps. Critical for manual assay performance [2] [10]. | A required piece of equipment; do not substitute with a standard hybridization oven. |
| SuperFrost Plus Slides | Provides superior tissue adhesion to prevent detachment during the stringent assay procedure [2] [11]. | Do not use other slide types. |
| ImmEdge Barrier Pen | Creates a hydrophobic barrier to contain reagents and prevent slides from drying out [2] [10]. | The only pen recommended to maintain a barrier throughout the entire procedure. |
| Positive Control Probes (PPIB, POLR2A, UBC) | Verifies RNA integrity and assay performance. Essential for interpreting your target probe results [2] [11] [10]. | Always run a species-specific positive control on a serial section of your experimental sample. |
| Negative Control Probe (dapB) | Distinguishes specific signal from background noise [2] [11] [10]. | Always run alongside your target probe to set the threshold for positivity. |
| TSA Vivid Dyes (Fluorescent Assays) | Provides bright, photostable signals for multiplex fluorescent RNAscope, improving dynamic range for quantification [34]. | Ideal for multi-target experiments requiring co-localization analysis. |
In the management of Human Papillomavirus (HPV)-related carcinomas, such as cervical cancer and oropharyngeal squamous cell carcinoma (OPSCC), simply detecting the presence of the virus is insufficient. Clinical outcomes are driven by transcriptionally active virus, where the viral oncogenes E6 and E7 are actively expressed, leading to cellular transformation and tumor progression [35]. This case study explores the establishment of a robust, multiplexed testing protocol to directly visualize this transcriptional activity, comparing the gold-standard RNA in situ hybridization (ISH) method for HPV E6/E7 mRNA against the surrogate marker p16 immunohistochemistry (IHC) and traditional DNA ISH.
The RNAscope ISH assay, with its proprietary "double Z" oligonucleotide probe design, enables highly specific and sensitive detection of target RNA within intact cells, providing single-molecule resolution in formalin-fixed, paraffin-embedded (FFPE) tissue sections [36] [19]. This technical support center provides detailed troubleshooting guides and FAQs to assist researchers in implementing and interpreting these critical assays.
Accurate detection of transcriptionally active high-risk HPV is critical for patient management. The following table summarizes the performance characteristics of different testing methodologies, using quantitative PCR (qPCR) as the reference method [36].
Table 1: Comparative Performance of HPV Detection Assays
| Assay Method | Sensitivity | Specificity | PPV | NPV |
|---|---|---|---|---|
| p16 IHC | 97% | 82% | 80% | 97% |
| HR-HPV DNA ISH | 94% | 91% | 89% | 95% |
| Combined p16/HR-HPV DNA ISH | 94% | 91% | 89% | 95% |
| DNA qPCR | 91% | 87% | 83% | 93% |
| Combined p16/DNA qPCR | 91% | 93% | 91% | 93% |
| RNAscope HR-HPV | 97% | 93% | 91% | 98% |
Abbreviations: IHC=immunohistochemistry; ISH=in situ hybridization; NPV=negative predictive value; PPV=positive predictive value; qPCR=quantitative PCR.
As the data demonstrates, the RNAscope HR-HPV assay demonstrates the best combination of sensitivity (97%) and specificity (93%) among the available methods, making it an ideal platform for detecting transcriptionally active HPV in research and clinical settings [36].
The fundamental advantage of detecting E6/E7 mRNA lies in its direct linkage to viral oncogenic activity. The E7 viral oncoprotein inactivates retinoblastoma (Rb) protein, leading to strong overexpression of the cellular protein p16INK4a. While p16 IHC is a useful surrogate marker, it is not specific for HPV, as other mechanisms can also cause p16 overexpression [35]. DNA-based methods, including PCR and DNA ISH, can detect the virus's presence but cannot distinguish between dormant infection and transcriptionally active, integrated virus that drives carcinogenesis [35] [37].
Diagram 1: HPV Oncogenic Pathway. The pathway shows that detection of E6/E7 mRNA directly indicates transcriptional activity of viral oncogenes, while p16 is a downstream surrogate marker.
Successful execution of the RNAscope assay depends on using the correct reagents and controls. The following table details the essential materials required.
Table 2: Key Research Reagents and Materials
| Item | Function | Examples & Notes |
|---|---|---|
| HPV-HR18 Probe | Detects E6/E7 mRNA of 18 high-risk HPV types | Cocktail includes types 16, 18, 31, 33, etc. [35] |
| Positive Control Probes | Verifies RNA quality and assay performance | Housekeeping genes: PPIB, POLR2A (low-copy), UBC (high-copy) [2] [11] |
| Negative Control Probe | Assesses non-specific background staining | Bacterial dapB gene; score should be <1 in proper conditions [5] [2] |
| RNAscope Reagent Kit | Provides reagents for hybridization & signal amplification | e.g., 2.5 LS Reagent Kit-BROWN; format depends on platform [35] |
| p16 Antibody | Detects p16INK4a overexpression in multiplex IHC | Clone E6H4 is commonly used [35] |
| Automation System | Provides standardized, reproducible assay conditions | Leica BOND RX or Ventana DISCOVERY systems [35] [2] |
A standardized workflow is critical for generating reliable and interpretable results. The following diagram outlines the key steps from sample preparation to analysis, incorporating necessary controls.
Diagram 2: Recommended RNAscope Workflow. The process begins with proper sample preparation and includes a critical control run to qualify samples before proceeding to target gene expression analysis.
A key advancement is the ability to detect both HPV E6/E7 mRNA and p16 protein on the same tissue section, providing a direct spatial correlation of the viral oncogene expression and its cellular consequence [35].
Validated Automated Protocol (Leica BOND RX System):
Critical Technical Note: The sequence of staining (first RNA ISH, then p16 IHC) and the chosen chromogens (DAB for HPV mRNA, Fast Red for p16) are critical for assay success, as this configuration prevents potential interference and ensures optimal signal clarity [35].
Q: What are the most critical steps in sample preparation for the RNAscope assay? A: Proper tissue fixation and sectioning are paramount.
Q: Which controls are absolutely necessary to run, and why? A: ACD always recommends running a minimum of three controls per sample [5]:
Q: I am getting weak or no signal. What should I optimize? A: Weak signal often relates to suboptimal pretreatment. On automated systems like the Leica BOND RX, you can adjust the following [2]:
Q: I am experiencing high background. How can I reduce it? A:
Q: What does a typical RNAscope signal look like, and what does each dot represent? A: The RNAscope signal appears as punctate dots within the cell cytoplasm and/or nucleus. It is critical to understand that each dot represents a single molecule of target mRNA [5] [19].
Q: Should I score the signal intensity or the number of dots? A: Score the number of dots per cell, not the dot intensity or size. The dot count correlates directly with the RNA copy number, while the intensity merely reflects the number of probe pairs bound to each molecule [5] [2].
Q: What is the difference between a dot and a cluster? A: Individual dots represent single mRNA transcripts. Clusters result from overlapping signals from multiple mRNA molecules that are in very close proximity. In high-expression cells (score 4), it is expected that >10% of the signals will be in clusters [5].
Q: How do I semi-quantitatively score the RNAscope staining results? A: Use the following established scoring guidelines, comparing your target signal to the positive and negative controls [5] [2].
Table 3: RNAscope Semi-Quantitative Scoring Guidelines
| Score | Criteria | Interpretation |
|---|---|---|
| 0 | No staining or <1 dot per 10 cells | Negative / No significant expression |
| 1 | 1-3 dots/cell | Low expression |
| 2 | 4-9 dots/cell; very few dot clusters | Moderate expression |
| 3 | 10-15 dots/cell; <10% dots in clusters | High expression |
| 4 | >15 dots/cell; >10% dots in clusters | Very high expression |
Q: How do I interpret the results of the multiplex HPV RNA ISH / p16 IHC assay? A: In the multiplex assay, you are looking for a direct spatial relationship within the same cell population:
Q1: What is the critical role of control probes when integrating RNAscope with newer platforms like Xenium?
Control probes are the cornerstone for validating assay performance and sample quality, a principle that is universally critical for both RNAscope and platforms like the 10x Genomics Xenium system. They are essential for distinguishing true biological signal from technical artifacts, ensuring that the data you integrate is reliable. In both technologies, a high signal from a negative control probe indicates potential background or non-specific binding, which could compromise your integrated analysis [1] [38].
Q2: Which positive control probe should I use for my RNAscope experiment?
The choice of positive control probe depends on the expression level of your target gene. ACD, the developer of RNAscope, provides several options, and selecting the appropriate one is key for a rigorous assessment [1].
Table: Guide to RNAscope Positive Control Probes
| Control Probe Gene | Expression Level (copies per cell) | Recommendations |
|---|---|---|
| UBC (Ubiquitin C) | Medium / High (>20) | Use with high-expression targets. Not recommended for low-expression targets as it may give false negative results [1]. |
| PPIB (Cyclophilin B) | Medium (10-30) | The recommended flexible option for most tissues. Provides a rigorous control for sample quality [1] [3]. |
| POLR2A | Low (3-15) | Use with low-expression targets. Suitable for proliferating tissues like tumors and some non-tumor tissues (e.g., retinal, lymphoid) [1]. |
Q3: Why is my negative control signal high, and what should I do?
A high signal in the negative control (e.g., bacterial dapB) indicates unacceptable background levels. The troubleshooting approach is similar in principle across technologies.
Q4: How do I quantitatively score RNAscope results to ensure they are robust for correlation with spatial transcriptomics data?
RNAscope uses a semi-quantitative scoring system based on counting distinct dots per cell, where each dot corresponds to an individual RNA molecule. This quantitative nature is what makes it powerful for correlating with spatial transcriptomics data. Do not score based on signal intensity [2] [3].
Table: RNAscope Scoring Guidelines
| Score | Criteria |
|---|---|
| 0 | No staining or <1 dot/ 10 cells |
| 1 | 1-3 dots/cell |
| 2 | 4-9 dots/cell. None or very few dot clusters |
| 3 | 10-15 dots/cell and <10% dots are in clusters |
| 4 | >15 dots/cell and >10% dots are in clusters |
For an experiment to be considered successful, the positive control (PPIB) should generally score â¥2, and the negative control (dapB) should score <1 [2] [3].
Problem: The target gene, positive control, and negative control all show no signal.
Solution:
Problem: The negative control probe (dapB) shows a high score, or non-specific staining is observed throughout the tissue.
Solution:
Problem: The Xenium Analysis Summary shows a warning or error for "Negative control probe counts per control per cell."
Solution:
Problem: Alerts for "Low decoded nuclear transcripts per 100 µm²" or "Low fraction of gene transcripts decoded with high quality."
Solution:
The following workflow provides a logical framework for designing experiments that integrate RNAscope with spatial transcriptomics, ensuring data quality and meaningful correlation.
Table: Essential Materials for RNAscope and Spatial Transcriptomics Experiments
| Item | Function | Key Specifications |
|---|---|---|
| Control Probes (PPIB, POLR2A, UBC, dapB) | Assess sample RNA quality, assay technique, and background levels. Critical for validating any experiment [2] [1]. | PPIB is the recommended flexible positive control. dapB is the standard negative control [1]. |
| Superfrost Plus Slides | Provide superior tissue adhesion to prevent detachment during stringent assay steps [2] [3]. | Required for RNAscope; other slide types may fail. |
| ImmEdge Hydrophobic Barrier Pen | Creates a barrier around sections to contain reagents and prevent tissues from drying out [2] [3]. | The only pen validated to maintain a barrier throughout the RNAscope procedure. |
| HybEZ Hybridization System | Maintains optimum humidity and temperature during critical hybridization and protease steps [2]. | Required for manual RNAscope assays. |
| Assay-Specific Mounting Media | Preserves staining and enables clear microscopic visualization. | RNAscope Brown: xylene-based (e.g., CytoSeal). RNAscope Red: EcoMount or PERTEX [2]. |
| Xenium Gene Panel | The predefined set of genes measured in a Xenium run. | Must be well-matched to the biological sample to ensure meaningful data and avoid high negative control counts [38]. |
In the context of a broader thesis on RNAscope control probe results interpretation research, properly assessing the sensitivity and specificity of your in situ hybridization assay is foundational to generating reliable, publication-quality data. The RNAscope technology utilizes a unique signal amplification and background suppression system to detect target RNA within intact cells, but its performance must be rigorously validated for each experimental setup [2]. Control probes provide the essential reference points needed to quantify this performance, allowing researchers to distinguish true biological signal from technical artifacts. This guide provides detailed methodologies for using control data to calculate the key performance metrics of sensitivity and specificity, enabling researchers and drug development professionals to confidently interpret their experimental outcomes and troubleshoot potential issues.
In diagnostic testing, including molecular assays like RNAscope, sensitivity and specificity are paired metrics that mathematically describe the accuracy of a test in reporting the presence or absence of a condition [39].
Sensitivity (true positive rate) refers to the test's ability to correctly identify ill patients or actual expression events. Mathematically, it is defined as the probability of a positive test result, conditioned on the individual truly being positive [39]. A test with high sensitivity rarely misses true positive signals, making it valuable for "ruling out" disease or expression when the result is negative [39].
Specificity (true negative rate) refers to the test's ability to correctly reject healthy patients or absence of expression. Mathematically, it is defined as the probability of a negative test result, conditioned on the individual truly being negative [39]. A test with high specificity rarely produces false positive signals, making a positive result useful for "ruling in" disease or expression [39].
In RNAscope assays, these concepts are operationalized through control probes:
ACD recommends using species-specific positive control probes to verify tissue RNA quality and assay technical performance [1]. The selection should be guided by the expected expression level of your target gene.
Table 1: RNAscope Positive Control Probe Selection Guide
| Probe Target | Expression Level (copies/cell) | Recommended Application | Interpretation of Valid Result |
|---|---|---|---|
| UBC (Ubiquitin C) | High (>20) | Use with high expression targets | Score â¥3 with relatively uniform signal throughout sample [3] |
| PPIB (Cyclophilin B) | Medium (10-30) | Flexible option for most tissues [1] | Score â¥2 with relatively uniform signal throughout sample [3] |
| POLR2A (RNA polymerase II) | Low (3-15) | Use with low expression targets [1] | Score â¥2 with relatively uniform signal throughout sample [3] |
The universal negative control probe targets the bacterial dapB gene from Bacillus subtilis strain SMY, which should not generate signal in properly prepared tissue specimens [1]. A valid negative control should display a score of <1, indicating low to no background staining [3]. Alternative negative controls include sense-direction probes or probes from unrelated species (e.g., zebrafish probes on human tissue) [1].
The following diagram illustrates the recommended control validation workflow prior to target gene evaluation:
Proper sample preparation is critical for achieving valid control results and thus accurate sensitivity/specificity assessments:
The RNAscope assay uses a semi-quantitative scoring system based on punctate dots, where each dot represents a single mRNA molecule [5]. When interpreting staining, score the number of dots per cell rather than signal intensity [2].
Table 2: RNAscope Semi-Quantitative Scoring Guidelines [2]
| Score | Criteria | Interpretation |
|---|---|---|
| 0 | No staining or <1 dot/10 cells | Negative/Negligible expression |
| 1 | 1-3 dots/cell | Low expression |
| 2 | 4-9 dots/cell, none or very few dot clusters | Moderate expression |
| 3 | 10-15 dots/cell and <10% dots in clusters | High expression |
| 4 | >15 dots/cell and >10% dots in clusters | Very high expression |
To calculate the sensitivity and specificity of your RNAscope assay, you must first establish the expected results for your positive and negative controls based on their known expression characteristics.
Table 3: Framework for Calculating Sensitivity and Specificity
| Metric | Formula | Application to RNAscope |
|---|---|---|
| Sensitivity | True Positives / (True Positives + False Negatives) | Percentage of expected positive control signals correctly detected |
| Specificity | True Negatives / (True Negatives + False Positives) | Percentage of expected negative control areas correctly showing no signal |
For example, if your positive control (PPIB) shows appropriate staining (score â¥2) in 18 of 20 expected positive tissue regions, the sensitivity would be 90%. If your negative control (dapB) shows appropriate absence of staining (score <1) in 95 of 100 expected negative tissue regions, the specificity would be 95%.
Q: My positive control shows weak or no signal, but my target appears to express. What should I do? A: This suggests potential sensitivity issues. First, verify your sample preparation followed recommended guidelines: fixation in fresh 10% NBF for 16-32 hours [12]. Under-fixation can result in significant RNA loss. For automated systems, check instrument maintenance and ensure bulk solutions have been replaced with recommended buffers [2].
Q: My negative control (dapB) shows significant background staining. How can I improve specificity? A: Background in the negative control indicates potential specificity problems. Ensure you are using fresh reagents, including ethanol and xylene [2]. Verify that protease digestion times and temperatures are correct (maintained at 40°C) [2]. For over-fixed tissues, consider adjusting pretreatment conditions by increasing ER2 time in 5-minute increments and protease time in 10-minute increments [2].
Q: How do I select the appropriate positive control for my experiment? A: Match the positive control to your target's expected expression level. Use UBC for high-expression targets, PPIB for most applications, and POLR2A for low-expression targets [1]. Using UBC with a low-expression target may give false negative results for your target, as UBC may still detect signal even with substantial RNA degradation [1].
Q: What does it mean if I see clusters of dots rather than individual punctate dots? A: Clusters can result from overlapping signals from multiple mRNA molecules in close proximity [5]. In scoring, clusters are expected in higher expression levels (score 4 specifies >10% dots in clusters) [2]. The number of dots, not their intensity or size, is critical as each represents a single transcript [5].
Table 4: Essential Materials for RNAscope Control Validation
| Item | Function | Critical Notes |
|---|---|---|
| HybEZ Oven | Maintains optimum humidity and temperature during hybridization | Required for manual assays; unlike other hybridization ovens [10] |
| Superfrost Plus Slides | Slide substrate for tissue sections | Other slide types may result in tissue detachment [2] |
| ImmEdge Hydrophobic Barrier Pen | Creates barrier to maintain reagent coverage | Only this specific pen will maintain barrier throughout procedure [2] |
| Positive Control Probes | Verify RNA quality and assay performance | Species-specific; select based on target expression level [1] |
| dapB Negative Control Probe | Assess background and specificity | Universal control; should not generate signal in properly fixed tissue [1] |
| Fresh 10% NBF | Tissue fixation | Critical for RNA preservation; avoid fixation at 4°C or outside 16-32 hour window [10] |
For multiplex RNAscope assays, control implementation requires additional considerations:
The relationship between sensitivity and specificity in establishing a reliable assay can be visualized as follows:
Proper assessment of sensitivity and specificity using control data is not merely an optional quality check but a fundamental requirement for rigorous RNAscope experimental design. By implementing the standardized protocols, scoring guidelines, and troubleshooting approaches outlined in this technical guide, researchers can quantitatively validate their assay performance, ensure accurate interpretation of target gene expression, and generate reliable data for scientific publications and drug development applications. Consistent use of appropriate controls transforms RNAscope from a qualitative visualization tool into a robust, quantitative methodology capable of addressing critical research questions in molecular biology and pathology.
Robust quality control (QC) is the foundation of reliable RNAscope in situ hybridization (ISH) data, especially when this data supports publications or regulatory submissions for novel therapies. Proper interpretation and reporting of control probe results are not merely procedural; they are critical for validating experimental integrity. This guide details the best practices for reporting these essential controls, framed within the broader context of ensuring data quality and reproducibility in RNAscope-based research.
ACD, the developer of RNAscope, recommends a two-tiered quality control practice to assess both the technical execution of the assay and the quality of the sample RNA [1]. This is achieved by running specific control probes on your tissue samples alongside your target experiment.
The table below outlines the standard control probes and their expected outcomes.
| Control Type | Probe Target | Purpose | Expected Result | Interpretation of a Passing Result |
|---|---|---|---|---|
| Positive Control | PPIB (Cyclophilin B) | Assess sample RNA quality & technical performance [1]. | Score â¥2 [2]. | The assay worked correctly, and the sample RNA is of sufficient quality for target detection. |
| Positive Control | Polr2A | Rigorous control for low-expression targets or challenging tissues like tumors [1]. | Score â¥2 [2]. | The assay is sensitive enough to detect low-copy RNA molecules. |
| Positive Control | UBC (Ubiquitin C) | Assess technique with high-expression targets [1]. | Score â¥3 [2]. | The assay technique was performed correctly. Not recommended for low-expression targets. |
| Negative Control | DapB (bacterial gene) | Detect background/non-specific staining [1]. | Score <1 (less than 1 dot per 10 cells) [2]. | No significant assay background; tissue is appropriately prepared. |
RNAscope assay results are evaluated using a semi-quantitative scoring system based on the number of dots per cell, where each dot represents a single RNA molecule [2]. Adhering to this standardized scoring is crucial for objective reporting.
The scoring guidelines are summarized in the following table.
| Score | Criteria | Visual Cue |
|---|---|---|
| 0 | No staining or <1 dot/10 cells | No specific signal. |
| 1 | 1-3 dots/cell (visible at 20-40x) | Low-level expression. |
| 2 | 4-9 dots/cell; very few dot clusters | Moderate expression. |
| 3 | 10-15 dots/cell; <10% dots in clusters | High expression. |
| 4 | >15 dots/cell; >10% dots in clusters | Very high expression with clustered dots. |
Q: My experimental sample has no signal. What should I check first? A: Before drawing conclusions about your target, always verify your control probes. Confirm that your positive control (PPIB or Polr2A) shows the expected signal (score â¥2) and your negative control (DapB) is clean (score <1). If the positive control fails, the issue is with the assay or sample quality, not your specific target probe [4].
Q: My positive control signal is weak or absent, but my negative control is clean. What does this indicate? A: This typically points to an issue with sample RNA quality or suboptimal assay pretreatment conditions. The RNA may be degraded, or the tissue may be over-fixed. You need to optimize the pretreatment conditions (antigen retrieval and protease digestion times) for your specific tissue type [1] [2].
Q: My negative control (DapB) shows high background. What is the likely cause? A: Background in the negative control indicates non-specific staining. This is often due to over-digestion of the tissue during the protease step or under-fixation. Try reducing the protease treatment time [2] [40].
Q: How can I manage tissue artifacts that negatively impact spot counting during analysis? A: Manual annotation tools can eliminate one-off artifacts. For persistent issues like anthracotic pigments in lung tissue or red blood cells, use image analysis software features like an "Exclusion Stain" or a tissue classifier to detect and exclude these areas from analysis [4].
Q: What is the best practice for visualizing data to detect systematic assay errors? A: Basic statistics may not reveal all errors. A dot plot of single data points in the order of the assay run can effectively visualize systematic errors, such as a single value being reported for all probes in one run, which might otherwise go unnoticed [41].
| Problem | Possible Cause | Recommended Solution |
|---|---|---|
| No signal in both target and positive control | Assay technique failure, reagent issues. | Run a technical control slide (e.g., Hela cell pellet) to verify protocol execution [1]. Check all reagents and equipment. |
| Weak positive control signal | Suboptimal pretreatment, RNA degradation, over-fixed tissue. | Optimize antigen retrieval (Pretreat 2) and protease digestion times [2]. Use a milder or extended pretreatment based on tissue type. |
| High background with negative control (DapB) | Over-digestion with protease, under-fixed tissue. | Reduce protease treatment time [2] [40]. Ensure tissues were fixed in fresh 10% NBF for 16-32 hours [2]. |
| Saturated chromogenic staining | Over-development of chromogen. | Optimize development time. Saturated black staining poses challenges for automated image analysis [4]. |
For samples not prepared according to ACD's guidelines or with unknown fixation history, follow this workflow to qualify samples before target experiments [2]:
Researchers familiar with Immunohistochemistry (IHC) should note these key differences in the RNAscope workflow [2]:
The following table details key materials and their functions for successfully performing and controlling an RNAscope experiment.
| Item | Function / Importance |
|---|---|
| Positive Control Probes (PPIB, Polr2A, UBC) | Verify sample RNA integrity and technical assay performance. Selecting a probe matched to your target's expression level is critical [1]. |
| Negative Control Probe (DapB) | Detects non-specific background staining, ensuring signal specificity [1] [13]. |
| Cell Pellet Control Slides | Provide a standardized sample to perform a technical assay control check, independent of your tissue sample quality [1]. |
| HybEZ Hybridization System | Maintains optimum humidity and temperature during the assay, which is required for specific hybridization [2]. |
| ImmEdge Hydrophobic Barrier Pen | Creates a barrier that remains intact throughout the assay, preventing slides from drying out, which can cause high background [2]. |
| Superfrost Plus Slides | Ensures tissue adhesion throughout the rigorous RNAscope protocol [2]. |
The precise interpretation of RNAscope control probe results is not merely a procedural step but the cornerstone of generating biologically meaningful and technically sound spatial gene expression data. A robust understanding of control probe purposes, coupled with a systematic implementation and troubleshooting strategy, empowers researchers to confidently distinguish true signal from artifact and accurately qualify their experimental samples. As the field advances towards increasingly multiplexed assays and integration with broader spatial transcriptomics platforms, the fundamental principles of rigorous control and validation outlined here will remain paramount. Mastering these controls ensures that RNAscope data continues to provide reliable, actionable insights into gene expression patterns, ultimately accelerating discovery in basic research, drug development, and clinical diagnostics.