RPS8 antibodies are immunological reagents designed to detect ribosomal protein S8, a component of the 40S ribosomal subunit involved in mRNA translation. These antibodies are widely used in Western blot (WB), immunohistochemistry (IHC), immunofluorescence (IF/ICC), and enzyme-linked immunosorbent assays (ELISA) to study RPS8 expression and localization .
RPS8 Function: Integral to ribosome assembly and translational fidelity .
Disease Relevance: Overexpressed in alcohol-associated hepatocellular carcinoma (HCC), making it a potential biomarker .
Positive Controls: Detected in HeLa cells, mouse liver, and SGC-7901 cells .
Band Patterns: Discrepancies in observed molecular weights (24–39 kDa) suggest post-translational modifications or isoform-specific detection .
Cancer Research: RPS8 overexpression correlates with alcohol-associated HCC progression. In a 2020 study, IHC staining using Proteintech’s antibody (1:40 dilution) showed upregulated RPS8 in tumor tissues compared to adjacent normal tissues .
Alcohol-Associated HCC: RPS8 is significantly upregulated in alcohol-linked HCC but not in non-alcohol-related cases .
Pathway Enrichment: High RPS8 expression correlates with enriched ribosome and RNA polymerase pathways (GSEA analysis) .
Antibody Validation:
Storage Stability:
RPS8 (Ribosomal Protein S8) is an essential component of the 40S small ribosomal subunit involved in protein synthesis. It belongs to the S8E family of ribosomal proteins and is primarily located in the cytoplasm. Ribosomes consist of small 40S and large 60S subunits, together comprising 4 RNA species and approximately 80 structurally distinct proteins . Beyond its canonical role in translation, RPS8 functions as a rate-limiting factor in translational regulation and contributes to stress responses such as cold-adaptability in plants .
RPS8 has gained research interest due to its altered expression in several disease states. Increased expression has been observed in colorectal tumors and colon polyps compared to matched normal colonic mucosa, suggesting potential roles in carcinogenesis . Recent studies have also identified RPS8 as a novel biomarker specifically for alcohol-associated hepatocellular carcinoma (HCC) . This protein is encoded by a gene that is co-transcribed with small nucleolar RNA genes U38A, U38B, U39, and U40, which are located in its introns .
Several types of RPS8 antibodies are available for research applications, primarily as polyclonal antibodies raised in rabbits:
| Antibody | Host/Type | Applications | Reactivity | Molecular Weight | Storage |
|---|---|---|---|---|---|
| Proteintech 18228-1-AP | Rabbit/Polyclonal | WB, IHC, IF/ICC, ELISA | Human, mouse, rat | 25-28 kDa observed | -20°C, 50% glycerol |
| Thermo Fisher PA5-51052 | Rabbit/Polyclonal | Not specified in results | Human, mouse, rat | Not specified | Not specified |
| Boster Bio A07839 | Rabbit/Polyclonal | WB | Human, mouse, rat | 39 kDa observed | -20°C, 50% glycerol |
Each antibody is generated using different immunogens. For example, Proteintech's antibody uses an RPS8 fusion protein (Ag12313) , while Boster's antibody utilizes a synthesized peptide derived from human RPS8 (amino acids 111-160) . These differences in immunogen may affect epitope recognition and performance in specific applications.
RPS8 antibodies have been validated for multiple research applications:
Western Blot (WB):
Immunohistochemistry (IHC):
Immunofluorescence (IF)/Immunocytochemistry (ICC):
ELISA:
Research Applications:
The optimal application depends on your specific research question, with different antibodies showing varying performance across applications. Validation in your specific experimental system is recommended.
Optimal dilution determination is critical for achieving specific signal with minimal background. For RPS8 antibodies, follow these methodological approaches:
Start with manufacturer recommendations:
Perform systematic titration:
Evaluate signal-to-noise ratio:
The optimal dilution provides strong specific signal with minimal background
For WB: Clear band at expected molecular weight (25-28 kDa for Proteintech antibody) with minimal non-specific bands
For IHC/IF: Specific cellular or subcellular staining pattern with minimal background
Consider system-specific factors:
Sample type may affect optimal dilution (cell lines vs. tissues, human vs. mouse)
Detection method sensitivity influences required antibody concentration
Fixation and antigen retrieval methods may necessitate dilution adjustments
Remember that "sample-dependent optimization is recommended" for all applications, and each new experimental system may require re-optimization.
Based on published research using RPS8 antibodies for IHC in hepatocellular carcinoma studies, the following protocol has been validated:
Tissue Preparation:
Deparaffinization and Rehydration:
Antigen Retrieval:
Blocking:
Antibody Incubation:
Detection and Visualization:
Scoring and Analysis:
This protocol has been successfully employed in studies identifying RPS8 as a biomarker for alcohol-associated HCC, demonstrating its reliability for tissue-based RPS8 detection.
Confirming antibody specificity is crucial for ensuring reliable research outcomes. For RPS8 antibodies, implement these validation strategies:
Genetic Validation:
RNAi knockdown: Transfect cells with RPS8-targeting siRNA and confirm reduced signal
Overexpression: Express RPS8 in appropriate cells and verify increased signal intensity
Use these genetically modified samples as positive and negative controls
Peptide Competition Assay:
Multiple Antibody Validation:
Use different RPS8 antibodies targeting distinct epitopes
Consistent patterns across different antibodies increase confidence in specificity
Compare results from different sources (e.g., Proteintech vs. Thermo Fisher)
Technical Controls:
Isotype control: Non-specific IgG from same host species at same concentration
Secondary-only control: Omit primary antibody but perform all other steps
Tissue/cell controls: Use samples with known RPS8 expression profiles
Cross-method Validation:
Verify protein expression using complementary techniques (WB, IHC, IF)
Compare protein detection with mRNA levels (qPCR, in situ hybridization)
Biological Consistency:
Evaluate whether staining pattern is consistent with known RPS8 biology
For ribosomal proteins like RPS8, expect primarily cytoplasmic localization
Implementing multiple validation approaches provides stronger evidence for specificity than any single method alone, enhancing the reliability of your RPS8-related findings.
Proper storage is essential for maintaining antibody performance over time. For RPS8 antibodies, follow these guidelines:
Long-term Storage:
Buffer Composition:
Working Stock Handling:
Handling Precautions:
Bring to room temperature before opening
Mix gently by pipetting or finger-tapping; avoid vigorous vortexing
Use sterile technique to prevent contamination
Note safety considerations: contains sodium azide, which is toxic
Working Dilution Stability:
Prepare diluted working solutions immediately before use
Do not store diluted antibody for extended periods
If storage of diluted antibody is necessary, add protein carrier (e.g., 0.1% BSA)
Following these storage recommendations will help maintain antibody performance and extend useful shelf life, ensuring consistent results across experiments.
Recent studies have identified RPS8 as a promising biomarker in several cancer types:
Alcohol-associated Hepatocellular Carcinoma (HCC):
RPS8 is specifically upregulated in alcohol-associated HCC but not in non-alcohol-associated HCC
This specificity makes it a potential diagnostic biomarker for distinguishing alcohol-related liver cancer
Gene Set Enrichment Analysis (GSEA) showed that samples with high RPS8 expression had enrichment in RNA polymerase and ribosome pathways
Colorectal Cancer:
Methodological Approaches for RPS8 Biomarker Research:
IHC with anti-RPS8 antibody (1:40 dilution) is the validated method for tissue analysis
Quantification using a 0-3 scoring system based on percentage of positive cells
Comparison between tumor and adjacent normal tissues establishes differential expression
Biomarker Validation Framework:
Initial discovery through differential expression analysis
Validation in independent cohorts
Correlation with clinical outcomes and pathological features
Functional studies to understand mechanistic roles
These findings suggest that RPS8 could serve not only as a diagnostic biomarker but potentially as a therapeutic target, particularly in alcohol-associated HCC. The unique expression pattern in specific cancer subtypes indicates its potential utility in precision oncology applications.
Understanding RPS8's interactome is crucial for elucidating its functions beyond ribosome assembly. Several complementary techniques have been successfully employed:
Yeast Two-Hybrid (Y2H) Assay:
Methodology: RPS8 coding sequence is fused to a DNA-binding domain vector (e.g., pGBKT7), while potential interacting partners are fused to an activation domain vector (e.g., pGADT7)
Construction: Vectors are created using homologous recombination methods and verified by DNA sequencing
This approach has successfully identified interactions between plant RPS8 and viral proteins
Bimolecular Fluorescence Complementation (BiFC):
Methodology: RPS8 and potential interacting partners are fused to complementary fragments of a fluorescent protein
Construction: Uses Gateway technology with vectors like pEarleyGate202-YN and pEarleyGate201-YC
Advantage: Provides spatial information about where interactions occur within living cells
Subcellular Localization Studies:
Functional Validation:
When designing RPS8 interaction studies, consider that as a ribosomal protein, RPS8 may have numerous interactions within the ribosome complex. Tools like GSEA can help identify pathways associated with RPS8 interactions, as demonstrated in HCC research where RNA polymerase and ribosome pathways were found to be enriched in samples with high RPS8 expression .
GSEA provides valuable insights into the pathways and biological processes associated with RPS8 expression patterns. Here's how to effectively implement this approach in RPS8 research:
Methodological Framework:
Sample division: Separate samples into high and low RPS8 expression groups based on median expression level
Software: GSEA software (version 4.0.0; Broad Institute) is the standard tool
Statistical parameters: Use normalized enrichment score (NES) to quantify association strength
Significance thresholds: P<0.01 and NES >1.5 are recommended cutoff values
Application in Cancer Research:
Implementation Steps:
Generate gene expression data (e.g., RNA-seq, microarray)
Rank genes based on correlation with RPS8 expression
Use pre-defined gene sets (e.g., KEGG pathways, GO terms)
Run GSEA algorithm to identify enriched pathways
Visualize results using enrichment plots and heatmaps
Interpretation Framework:
Distinguish between positively and negatively enriched pathways
Consider both canonical (ribosome-related) and non-canonical pathways
Integrate findings with protein interaction data for a comprehensive understanding
Validate key pathways through targeted functional studies
Extended Applications:
Compare pathway enrichment across different cancer types or disease states
Identify potential therapeutic targets within enriched pathways
Predict functional consequences of RPS8 alterations
This approach has already yielded valuable insights into RPS8's role in alcohol-associated HCC and could be similarly applied to investigate its functions in other biological contexts, potentially revealing novel roles beyond its canonical function in ribosome assembly.
RPS8 functions extend beyond structural roles in the ribosome, with emerging evidence highlighting its importance in translational regulation:
Rate-limiting Factor in Translation:
Stress Response Functions:
Cancer-Related Translational Control:
Methodological Approaches to Study Translational Roles:
Ribosome profiling to identify mRNAs whose translation is specifically affected by RPS8 levels
Polysome profiling to assess effects on global translation efficiency
Reporter assays to study impacts on specific mRNA translation
RPS8 silencing followed by proteomic analysis to identify affected proteins
Research Directions:
Investigating whether RPS8 preferentially affects translation of specific mRNA subsets
Exploring potential extraribosomal functions in translational control
Understanding how post-translational modifications of RPS8 might regulate its function
Determining whether RPS8-targeted therapies could modulate disease-specific translational programs
Understanding RPS8's roles in translational regulation may reveal new therapeutic opportunities, particularly in diseases where RPS8 expression is altered, such as alcohol-associated HCC and colorectal cancer.
Researchers frequently observe discrepancies between calculated and observed molecular weights for RPS8. Understanding these variations is critical for correct data interpretation:
Expected vs. Observed Molecular Weights:
Potential Explanations for Discrepancies:
a) Post-translational Modifications:
Phosphorylation, ubiquitination, or other modifications can increase apparent molecular weight
As a regulatory protein, RPS8 may undergo context-dependent modifications
b) Sample Preparation Effects:
Buffer composition, reducing agent concentration, and heating conditions affect protein migration
Incomplete denaturation can cause proteins to run at higher apparent molecular weights
c) Strong Protein-Protein Interactions:
Incomplete dissociation from interaction partners can cause molecular weight shifts
As a ribosomal protein, RPS8 forms strong interactions with rRNA and other ribosomal proteins
d) Antibody Epitope Specificity:
Different antibodies recognize different epitopes, potentially detecting different isoforms
This explains why different antibodies report different observed molecular weights
Methodological Approaches to Address Discrepancies:
a) Validation Strategy:
Use multiple antibodies targeting different epitopes of RPS8
Include positive controls (e.g., recombinant RPS8 protein)
Perform RPS8 knockdown to confirm band identity
b) Optimization Approaches:
Test different sample preparation methods (varying SDS concentration, temperature)
Use gradient gels for better resolution
Include molecular weight markers that cover the range of interest
When reporting RPS8 Western blot results, always specify the antibody used and the observed molecular weight, as these can vary significantly between different experimental systems and detection methods.
Several technical challenges can affect RPS8 immunostaining. Here are methodological solutions for common issues:
High Background Staining:
Problem: Non-specific binding obscuring specific RPS8 signal
Solutions:
Weak or Absent Signal:
Problem: Insufficient detection of RPS8
Solutions:
Variable Staining Across Samples:
Problem: Inconsistent RPS8 staining between experiments
Solutions:
Non-specific Nuclear Staining:
Problem: RPS8 should be primarily cytoplasmic, but nuclear staining may occur
Solutions:
Verify with subcellular fractionation and Western blot
Compare with known patterns: Validated RPS8 antibodies show cytoplasmic staining
Perform peptide competition: Nuclear staining that remains after competition may be non-specific
Methodological Validation Approaches:
Include technical controls in every experiment (negative, isotype, secondary-only)
Perform dual staining with established ribosomal markers
Compare manual and automated scoring for objective quantification
Document detailed protocols to ensure reproducibility
By systematically addressing these common pitfalls, researchers can enhance the specificity and reliability of RPS8 immunostaining experiments, yielding more robust and reproducible results.
Accurate quantification of RPS8 expression requires careful methodological consideration and appropriate analytical techniques:
Western Blot Quantification:
Optimization: Determine linear detection range for RPS8 in your system
Normalization: Use total protein normalization (Ponceau S, REVERT) rather than single housekeeping genes
Technical considerations:
Load equal protein amounts (confirmed by BCA/Bradford assay)
Include concentration standards for absolute quantification
Use digital image acquisition and analysis software
Immunohistochemistry Quantification:
RT-qPCR for mRNA Quantification:
Reference gene selection: Validate stability across your experimental conditions
Primer design: Target regions common to all RPS8 transcript variants
Analysis: Use 2^(-ΔΔCt) method with appropriate reference genes
Statistical Analysis Considerations:
Sample size determination: Power analysis based on expected effect size
Appropriate statistical tests: t-test, ANOVA, or non-parametric alternatives
Multiple testing correction: Benjamini-Hochberg or similar methods for large-scale studies
Report both statistical significance and effect size
Multi-method Integration:
Cross-validate findings across different quantification methods
Address discrepancies between protein and mRNA levels
Consider single-cell approaches for heterogeneous tissues
When reporting RPS8 quantification results, clearly document all methodological details including antibody dilutions, image acquisition parameters, and analysis software settings to ensure reproducibility and facilitate inter-laboratory comparisons.
Distinguishing specific from non-specific binding is critical for accurate interpretation of RPS8 antibody results. Implement these methodological approaches:
Peptide Competition Assay:
Methodology: Pre-incubate RPS8 antibody with excess immunizing peptide
Interpretation: Specific signals should disappear or significantly diminish
Implementation: Run parallel samples with and without peptide competition
Note: For Boster Bio A07839, blocking peptide corresponding to the immunogen can be purchased
Genetic Validation:
RNAi approach: Transfect cells with RPS8-targeting siRNA/shRNA
CRISPR approach: Generate RPS8 knockout or knockdown cell lines
Analysis: Compare staining/signal in normal vs. RPS8-depleted samples
Interpretation: Specific signals should decrease proportionally to knockdown efficiency
Multiple Antibody Validation:
Methodology: Test multiple RPS8 antibodies targeting different epitopes
Analysis: Compare binding patterns across different antibodies
Interpretation: Consistent patterns increase confidence in specificity
Example: Compare results from Proteintech 18228-1-AP vs. Thermo Fisher PA5-51052
Dilution Series Analysis:
Methodology: Test a wide range of antibody dilutions beyond manufacturer recommendations
Analysis: Plot signal-to-noise ratio against antibody concentration
Interpretation: Specific binding typically shows a sigmoidal curve with saturation
Implementation: Identify the optimal dilution where specific signal is maximized while background is minimized
Technical Controls:
Secondary-only control: Omit primary antibody to assess secondary antibody background
Isotype control: Use non-specific IgG from same host species at same concentration
No-sample control: Process without biological sample to identify reagent artifacts
By integrating multiple validation approaches, researchers can build stronger evidence for RPS8 antibody specificity, enhancing the reliability and reproducibility of their experimental findings.