RPS28A antibody is a polyclonal antibody developed against the RPS28 protein, which is encoded by the RPS28 gene (NCBI Gene ID: 6234). Key properties include:
Applications: Western blot (WB), immunohistochemistry (IHC), ELISA, and immunofluorescence
Target: RPS28 fusion protein (UniProt ID: P62857), with a calculated molecular weight of 8 kDa
RPS28A antibody detects a single band at ~8 kDa in multiple cell lines, including HeLa, HEK-293T, and NIH/3T3 (Figure 1A) . Immunoprecipitation assays confirm its specificity, showing clear enrichment of RPS28 in HEK-293T lysates compared to controls .
| Cell Line | Band Intensity | Observed MW |
|---|---|---|
| HeLa | High | 8 kDa |
| HEK-293T | High | 8 kDa |
| Jurkat | Moderate | 8 kDa |
| NIH/3T3 | High | 8 kDa |
In human pancreas cancer tissues, RPS28A antibody yields strong cytoplasmic staining under antigen retrieval with TE buffer (pH 9.0) at a dilution of 1:20–1:200 .
RPS28 knockdown increases MHC class I peptide generation by enhancing non-canonical translation of rapidly degraded polypeptides (DRiPs), independent of TAP transporters .
This effect persists even under interferon-γ stimulation, suggesting RPS28 regulates peptide supply via ribosome specialization .
Osteosarcoma: RPS28 is an essential gene for osteosarcoma cell survival. Silencing RPS28 inhibits proliferation, migration, and invasion in vitro and in vivo by disrupting MAPK signaling . High RPS28 expression correlates with poor prognosis (p < 0.001) .
Pancreatic Cancer: The pseudogene RPS28P7 acts as a competitive endogenous RNA (ceRNA) to stabilize RPS28 mRNA, promoting tumor progression and earlier mortality (HR = 1.8, p = 0.02) .
RPS28 is part of the small subunit (SSU) processome, critical for pre-rRNA processing. Its knockdown alters ribosome-associated proteins and rRNA methylation patterns, impacting translation fidelity .
Target Potential: RPS28 and its pseudogene RPS28P7 are proposed as therapeutic targets in osteosarcoma and pancreatic cancer due to their roles in ribosome biogenesis and oncogenic signaling .
Biomarker Utility: RPS28 overexpression in tumors may predict resistance to immunotherapy, as it enhances ligand supply for MHC class I molecules .
KEGG: sce:YOR167C
STRING: 4932.YOR167C
RPS28 functions as a component of the small ribosomal subunit (40S) and plays an essential role in the biogenesis of 18S rRNA. The ribosome is a large ribonucleoprotein complex responsible for protein synthesis in cells. RPS28 participates in the small subunit (SSU) processome, which serves as the first precursor of the small eukaryotic ribosomal subunit. During SSU processome assembly in the nucleolus, ribosome biogenesis factors, RNA chaperones, and ribosomal proteins like RPS28 work cooperatively to facilitate RNA folding, modifications, rearrangements, and cleavage, as well as targeted degradation of pre-ribosomal RNA by the RNA exosome .
RPS28 has a calculated molecular weight of approximately 8 kDa according to antibody product information . The protein is evolutionarily conserved across species and serves as a component of the 40S ribosomal subunit. Its relatively small size is typical of ribosomal proteins, which generally range from 7-30 kDa. The compact structure allows it to integrate into the complex architecture of the ribosome while performing specialized functions in rRNA processing and ribosome assembly .
When selecting an RPS28 antibody, researchers should consider:
Application compatibility: Confirm the antibody has been validated for your specific application (WB, IHC, IP, ELISA)
Species reactivity: Available RPS28 antibodies show validated reactivity with human, mouse, and rat samples
Clonality and host: Both commercially available options are rabbit polyclonal antibodies, which typically offer good sensitivity but may have batch-to-batch variation
Epitope information: Select antibodies with clearly defined immunogens - for example, ab241282 uses a synthetic peptide within Human RPS28 aa 1 to C-terminus
Validation data: Review available validation data showing expected band size (~8 kDa) and specific detection in relevant sample types
For quantitative applications, consider antibodies with demonstrated linear signal range and minimal cross-reactivity.
Researchers should implement the following controls when working with RPS28 antibodies:
Positive controls: Lysates from cells known to express RPS28 (virtually all eukaryotic cells)
Negative controls:
Primary antibody omission control
IgG isotype control
RPS28 knockdown/knockout samples where available
Loading controls: For Western blot, include housekeeping proteins distinct from ribosomal pathways
Peptide competition assay: Pre-incubate antibody with immunizing peptide to confirm specificity
Cross-species validation: If working with non-validated species, confirm cross-reactivity using sequence homology analysis
These controls are critical for distinguishing specific signal from background, especially when investigating subtle changes in RPS28 expression under different experimental conditions.
For optimal IHC results with RPS28 antibodies:
Dilution range: Use 1:20-1:200 dilution, with specific titration recommended for each experimental system
Antigen retrieval: Primary recommendation is TE buffer at pH 9.0; alternatively, citrate buffer at pH 6.0 can be used
Detection system: Use a sensitive detection system appropriate for the expected expression level
Tissue considerations: Human pancreatic cancer tissue has been validated as a positive control
Incubation conditions: Follow manufacturer's specific recommendations for temperature and duration
| Application Parameter | Recommended Conditions |
|---|---|
| Dilution Range | 1:20-1:200 |
| Antigen Retrieval | TE buffer pH 9.0 (primary) or citrate buffer pH 6.0 (alternative) |
| Positive Control Tissue | Human pancreatic cancer tissue |
| Storage | -20°C (stable for one year after shipment) |
For optimal results, researchers should perform antibody titration within the recommended range to determine ideal concentration for their specific tissue samples .
When troubleshooting Western blot issues with RPS28 antibodies:
No signal or weak signal:
Increase antibody concentration within recommended range
Extend incubation time (overnight at 4°C)
Ensure adequate protein loading (15-30 μg total protein)
Verify transfer efficiency with reversible staining
Use enhanced chemiluminescence detection
Multiple bands or unexpected band size:
Verify complete sample denaturation (heating at 95°C for 5 minutes)
Add fresh protease inhibitors to prevent degradation
Optimize SDS-PAGE conditions for low molecular weight proteins (15-20% gels)
Consider cell-specific post-translational modifications
High background:
Increase blocking time (1-2 hours or overnight)
Use 5% BSA instead of milk for blocking
Increase washing duration and frequency
Reduce antibody concentration
Test alternative secondary antibodies
Given RPS28's small size (8 kDa), use appropriate gel systems designed for low molecular weight proteins to ensure proper resolution and transfer .
Advanced research into ribosome biogenesis defects can leverage RPS28 antibodies through several methodological approaches:
Subcellular localization studies:
Immunofluorescence to track RPS28 nucleolar-cytoplasmic distribution
Co-localization with nucleolar markers (fibrillarin, nucleolin) to assess pre-ribosome assembly sites
Time-course analysis during ribosome biogenesis inhibition
Biochemical fractionation:
Sucrose gradient centrifugation to isolate different pre-ribosomal complexes
Western blot analysis of gradient fractions to determine RPS28 incorporation into pre-ribosomes
Comparison between normal and defective biogenesis conditions
Protein-RNA interaction analysis:
RIP (RNA immunoprecipitation) using RPS28 antibodies to identify associated pre-rRNAs
Analysis of 18S rRNA processing intermediates in RPS28-depleted versus control cells
Correlation between RPS28 levels and 18S rRNA maturation using Northern blotting
These approaches can reveal how mutations or dysregulation in ribosome assembly factors affect RPS28 incorporation into maturing ribosomes, providing insights into molecular mechanisms of ribosomopathies .
To investigate the regulatory relationship between LeuCAG3′tsRNA and RPS28 mRNA translation, researchers can employ these methodologies:
Polysome profiling:
Target site mutagenesis:
RNA structure analysis:
These approaches can elucidate the precise mechanism by which this non-coding RNA enhances RPS28 translation, with implications for understanding ribosome biogenesis regulation .
Distinguishing between free RPS28 and ribosome-incorporated protein requires sophisticated analytical approaches:
Differential centrifugation and gradient analysis:
Separate free proteins, ribosomal subunits, and assembled ribosomes using sucrose gradient ultracentrifugation
Collect fractions and analyze RPS28 distribution by Western blotting
Quantify the ratio of RPS28 in free versus ribosome-associated fractions
Compare with other ribosomal proteins to identify specific incorporation defects
Pulse-chase analysis:
Metabolically label newly synthesized proteins with radioactive amino acids
Chase with unlabeled medium for various time periods
Immunoprecipitate RPS28 from different cellular fractions
Track the kinetics of RPS28 incorporation into ribosomes versus degradation
Proximity labeling techniques:
Express RPS28 fused to a proximity labeling enzyme (BioID or APEX)
Identify proteins in close proximity to RPS28 under different conditions
Compare interactome changes that indicate altered ribosomal incorporation
As demonstrated in LeuCAG3′tsRNA inhibition studies, shifts in RPS28 mRNA from heavier to lighter polysome fractions (from 3-4 ribosomes per mRNA to 2-3 ribosomes) without changes in monosome fractions suggest regulation occurs post-initiation, providing crucial mechanistic insights .
To investigate RPS28's role in cancer contexts, researchers should consider these methodological approaches:
Targeted manipulation of RPS28 levels:
siRNA/shRNA knockdown of RPS28 in cancer cell lines
CRISPR/Cas9-mediated gene editing to create partial loss-of-function models
LeuCAG3′tsRNA inhibition to reduce RPS28 translation
Monitor effects on cell viability, apoptosis, and cell cycle progression
Patient-derived xenograft (PDX) models:
Establish PDX models using cancer tissues (e.g., hepatocellular carcinoma)
Administer LeuCAG3′tsRNA inhibitors or RPS28-targeting agents
Monitor tumor growth, cellular apoptosis, and ribosome biogenesis markers
Correlate RPS28 levels with treatment response
Translational profiling:
Compare translatomes of cancer versus normal cells after RPS28 manipulation
Identify cancer-specific mRNAs particularly sensitive to ribosome availability
Analyze changes in translation of survival and proliferation factors
Research has shown that inhibition of LeuCAG3′tsRNA leads to apoptosis in human cancer cells and affects hepatocellular carcinoma PDX models, suggesting RPS28-mediated translation control might be a potential therapeutic vulnerability in certain cancers .
RPS28 is highly conserved across vertebrate species, which has important implications for antibody selection and cross-species applications:
Sequence conservation analysis:
Structural conservation considerations:
Cross-species validation approach:
Test antibodies on positive control samples from each target species
Verify detection of the expected 8 kDa band in multiple species
Compare relative expression levels across species under standardized conditions
Perform epitope mapping to confirm conservation of antibody binding site
Currently available commercial antibodies show validated reactivity with human, mouse, and rat samples, facilitating comparative studies across these species .
When comparing RPS28 regulation between mouse and human systems, researchers should consider these methodological factors:
mRNA structural differences:
Isoform-specific analysis:
Identify and compare the predominant RPS28 transcript isoforms in each species
Design primers and antibodies that can distinguish between isoforms
Consider potential differences in regulatory mechanisms between isoforms
tsRNA regulation comparison:
Translation efficiency measurement:
Use polysome profiling to compare baseline RPS28 translation in both species
Analyze ribosome density and distribution on RPS28 mRNA
Normalize to appropriate housekeeping genes specific to each species