RPS19BP1 antibodies are polyclonal reagents designed to detect endogenous levels of the RPS19BP1 protein. Key properties include:
Applications: Immunohistochemistry (IHC), Immunofluorescence (IF), and ELISA .
Immunogen: A synthesized peptide spanning amino acids 71–120 of human RPS19BP1 .
| Parameter | Details |
|---|---|
| Gene Symbol | RPS19BP1 |
| UniProt ID | Q86WX3 (Human) |
| Gene ID | 91582 |
| Cellular Localization | Nucleus, nucleolus |
| Protein Function | Ribosome biogenesis, SIRT1 regulation, and p53/TP53 deacetylation . |
Domains: RPS19BP1 lacks well-defined functional motifs except for a polylysine tract within a nucleolar localization signal .
Interaction Partners: Binds ribosomal protein RPS19 and enhances SIRT1 activity .
Ribosome Biogenesis:
SIRT1 Regulation:
Disease Relevance:
Immunohistochemistry: Validates RPS19BP1 expression in tissue samples (dilution 1:100–1:300) .
Immunofluorescence: Localizes RPS19BP1 in nucleoli (dilution 1:50–1:200) .
ELISA: Quantifies protein levels in lysates (dilution 1:10,000) .
Ribosomal Assembly: RPS19BP1 acts as a chaperone for RPS19 integration during ribosome maturation .
SIRT1 Activation: Overexpression enhances SIRT1-dependent deacetylation, suppressing p53-mediated apoptosis .
Pathogen Interactions: Methylated by Legionella pneumophila during infection, suggesting a role in microbial pathogenesis .
RPS19BP1 (ribosomal protein S19 binding protein 1), also known as AROS (Active regulator of SIRT1) or S19BP, is a 136 amino acid protein (~15 kDa) that localizes primarily to the nucleolus . This protein serves multiple critical functions in cellular processes, particularly in ribosomal biogenesis and p53 regulation pathways.
Experimental approaches for studying RPS19BP1 functions:
Ribosomal assembly studies: As part of the small subunit (SSU) processome and first precursor of the small eukaryotic ribosomal subunit, RPS19BP1 acts as a chaperone that specifically mediates the integration of RPS19 in state post-A1 . To study this function, ribosomal profiling combined with RPS19BP1 knockdown or overexpression is recommended.
SIRT1 pathway analysis: As a direct regulator of SIRT1, RPS19BP1 enhances SIRT1-mediated deacetylation of p53/TP53, thereby participating in inhibition of p53/TP53-mediated transcriptional activity . Co-immunoprecipitation and deacetylation assays can effectively demonstrate this regulatory relationship.
Hematopoiesis research: The ATF4-RPS19BP1 axis has been shown to modulate ribosome biogenesis and promote erythropoiesis . Conditional knockout models using Cre-lox systems targeting hematopoietic cells can effectively demonstrate this function.
When selecting a RPS19BP1 antibody, it's important to understand its validated applications and appropriate validation strategies:
Common validated applications:
Western Blotting (WB): Most RPS19BP1 antibodies work well at dilutions of 1:500-1:1000
Immunohistochemistry (IHC): Typically effective at dilutions of 1:50-1:100
Recommended validation strategies:
Multiple sample types validation: Test across different cell lines known to express RPS19BP1 (e.g., HCT116, H1792, EC9706, A549)
Knockout/knockdown controls: Compare antibody performance in RPS19BP1 knockdown cells (e.g., using siRNA approaches as demonstrated in RPS19BP1 functional studies)
Immunoprecipitation confirmation: Validate specificity through immunoprecipitation followed by Western blot analysis
Cross-reactivity testing: Verify species reactivity claims (human, mouse, rat) in relevant experimental systems
Western blotting is one of the most common applications for RPS19BP1 antibodies. For optimal results, consider the following protocol optimizations:
Sample preparation considerations:
Use appropriate lysis buffers containing protease inhibitors to prevent degradation of RPS19BP1
Load 30-40μg of whole cell lysate per lane, as demonstrated in successful detection protocols
Electrophoresis and transfer parameters:
Use 12-15% gels for optimal resolution of the 15kDa RPS19BP1 protein
Consider wet transfer methods with methanol-containing buffers for efficient transfer of small proteins
Antibody incubation optimization:
Primary antibody: Start with 1:500 dilution for most commercial RPS19BP1 antibodies
Secondary antibody: Use HRP-conjugated anti-rabbit IgG (typically at 1:5000-1:10000)
Include proper blocking with 5% non-fat milk or BSA to reduce background
Detection considerations:
Enhanced chemiluminescence (ECL) detection systems are generally sufficient
For weak signals, consider using amplified ECL systems or increasing exposure time
Immunohistochemistry with RPS19BP1 antibodies requires specific optimization steps:
Tissue preparation and antigen retrieval:
Paraffin-embedded tissues should undergo appropriate antigen retrieval
Heat-induced epitope retrieval in citrate buffer (pH 6.0) is often effective
Human brain tissue has been successfully used for IHC validation of RPS19BP1 antibodies
Antibody dilution and incubation:
Start with dilutions between 1:50-1:100 for IHC applications
Overnight incubation at 4°C typically yields optimal results
Detection systems:
DAB (3,3'-diaminobenzidine) detection systems provide good contrast
For multiplexed analysis, consider fluorescent secondary antibodies
Controls:
Recent research has identified the ATF4-RPS19BP1 axis as a critical regulator of hematopoiesis and erythropoiesis . The following methodological approaches are recommended:
In vivo models:
Generate conditional knockout models using cell-type-specific Cre lines (e.g., Mx1+ for hematopoietic cells, Cdh5+ for endothelial cells)
Analyze hematopoietic stem cell (HSC) function and erythroid differentiation in these models
Cellular assays:
Colony-forming unit (CFU) assays to assess HSC and progenitor function
Erythroid differentiation assays using primary hematopoietic cells
Molecular mechanisms:
ChIP-seq to identify ATF4 binding sites in the Rps19bp1 promoter
Luciferase reporter assays to validate transcriptional regulation
Stress response studies:
5-fluorouracil-induced stress models to assess recovery of hematopoietic lineages
Analysis of ribosome biogenesis efficiency using polysome profiling
The involvement of RPS19BP1 in p53 regulation through SIRT1 has significant implications for cancer research . Researchers should consider these methodological approaches:
Expression analysis in cancer tissues:
IHC analysis of RPS19BP1 expression in cancer vs. normal tissues
Correlation of RPS19BP1 expression with patient outcomes using tissue microarrays
Functional studies:
siRNA knockdown of RPS19BP1 in cancer cell lines to assess effects on:
Mechanistic investigations:
p53 activity assessment using dual-luciferase reporter assays
Analysis of p53 acetylation status using acetylation-specific antibodies
Co-immunoprecipitation to study RPS19BP1-SIRT1-p53 interactions
Western blot analysis of p53 downstream targets
In vivo cancer models:
Xenograft models with RPS19BP1-modulated cancer cells
Analysis of tumor growth, metastasis, and therapeutic response
Co-immunoprecipitation (Co-IP) is a powerful technique for identifying protein-protein interactions involving RPS19BP1:
Sample preparation:
Use mild lysis buffers (e.g., 1% NP-40 or CHAPS) to preserve protein-protein interactions
Include protease and phosphatase inhibitors in all buffers
Pre-clear lysates with protein A/G beads to reduce non-specific binding
Immunoprecipitation strategy:
Use 2-5 μg of anti-RPS19BP1 antibody per 500-1000 μg of total protein
For reciprocal confirmation, perform reverse Co-IP with antibodies against suspected interaction partners
Detection methods:
Western blotting using specific antibodies against suspected interaction partners
For unbiased discovery, consider mass spectrometry analysis of immunoprecipitated complexes
Validation approaches:
Confirm interactions using alternative methods (proximity ligation assay, FRET, etc.)
Functional validation through mutational analysis of interaction domains
As a component of the small subunit processome, RPS19BP1 plays a crucial role in ribosome biogenesis . These methodological approaches are recommended:
Ribosome profiling:
Sucrose gradient ultracentrifugation to separate ribosomal subunits and assess biogenesis defects
Northern blotting to analyze pre-rRNA processing intermediates
Subcellular localization studies:
Immunofluorescence microscopy to confirm nucleolar localization
Co-localization with other ribosome biogenesis factors
RNA-protein interaction analysis:
RNA immunoprecipitation (RIP) to identify RPS19BP1-associated RNAs
CLIP-seq for transcriptome-wide identification of RNA binding sites
Functional rescue experiments:
Complementation studies in RPS19BP1-depleted cells
Structure-function analysis using truncated or mutated RPS19BP1 variants
Recent research has identified the LINC00106/RPS19BP1/p53 axis as a regulator of cancer cell proliferation and migration . Consider these experimental approaches:
RNA-protein interaction validation:
RNA immunoprecipitation (RIP) assays to confirm LINC00106-RPS19BP1 interactions
RNA pulldown assays followed by western blotting for RPS19BP1
In vitro binding assays using purified components
Functional characterization:
Simultaneous knockdown and overexpression studies:
Signaling pathway analysis:
Western blot analysis of p53 acetylation status
Analysis of SIRT1 activity in the presence/absence of LINC00106 and RPS19BP1
Assessment of downstream p53 target gene expression
In vivo validation:
Tumor xenograft models with modified expression of LINC00106 and/or RPS19BP1
Analysis of tumor growth and metastatic potential
Understanding post-translational modifications (PTMs) of RPS19BP1 may provide insights into its regulation:
Identification of PTMs:
Immunoprecipitation of RPS19BP1 followed by mass spectrometry analysis
Western blotting with modification-specific antibodies (phospho, acetyl, ubiquitin, etc.)
Functional impact assessment:
Site-directed mutagenesis of modified residues
Cellular localization studies of wild-type vs. mutant RPS19BP1
Interaction studies to determine if PTMs affect protein-protein interactions
Regulation of PTMs:
Treatment with inhibitors of specific modifying enzymes
Analysis of PTM status under different cellular stresses or stimuli
Biological significance:
Correlation of specific PTMs with RPS19BP1 function in ribosome biogenesis
Assessment of PTM status in normal vs. disease conditions
When working with RPS19BP1 antibodies, researchers may encounter several challenges. Here are methodological solutions to common problems:
Weak or absent signal in Western blotting:
Increase antibody concentration (try 1:250 if 1:500 is ineffective)
Extend primary antibody incubation (overnight at 4°C)
Use alternative detection systems with higher sensitivity
Verify sample preparation (fresh lysates, proper lysis buffers)
Confirm protein expression in your cell type/tissue
High background in immunohistochemistry/immunofluorescence:
Optimize blocking conditions (try different blocking agents: BSA, serum, commercial blockers)
Increase washing steps duration and number
Reduce antibody concentration
Use more specific secondary antibodies
Include additional blocking steps (e.g., avidin/biotin blocking for biotin-based detection systems)
Inconsistent immunoprecipitation results:
Optimize antibody amount (typical range: 2-5 μg per reaction)
Use protein A/G beads appropriate for rabbit IgG
Consider crosslinking antibodies to beads to prevent interference with detection
Implementing rigorous quality control is essential when working with a new RPS19BP1 antibody batch:
Basic validation experiments:
Western blot of positive control lysates (HCT116, H1792, EC9706, A549)
Comparison with previous antibody batch (if applicable)
Advanced validation:
Immunoprecipitation followed by mass spectrometry
Testing on RPS19BP1 knockdown/knockout samples
Epitope mapping using peptide competition assays
Cross-reactivity assessment across multiple species
Documentation:
Record lot number, dilution used, and experimental conditions
Document all validation experiments with images
Note any batch-specific characteristics or requirements
Given the role of the ATF4-RPS19BP1 axis in hematopoiesis and erythropoiesis , RPS19BP1 antibodies have potential applications in hematological disorder research:
Diamond-Blackfan anemia studies:
IHC analysis of bone marrow biopsies to assess RPS19BP1 expression
Correlation of RPS19BP1 levels with disease severity and treatment response
Investigation of RPS19BP1-RPS19 interactions in patient samples
Methodology for cellular models:
Generation of patient-derived iPSCs and differentiation into hematopoietic lineages
Analysis of RPS19BP1 expression and localization during differentiation
Assessment of ribosome biogenesis efficiency in normal vs. disease models
Therapeutic exploration:
Screening compounds that modulate RPS19BP1 expression or function
Monitoring RPS19BP1 levels as biomarkers for treatment response
Development of targeted approaches to enhance RPS19BP1-mediated ribosome biogenesis
Multiplexed imaging allows simultaneous visualization of multiple proteins in the same sample:
Antibody selection for multiplexing:
Choose RPS19BP1 antibodies raised in different host species than other target antibodies
Alternatively, use directly conjugated primary antibodies to avoid species cross-reactivity
Validate each antibody individually before multiplexing
Technical approaches:
Sequential immunofluorescence with antibody stripping between rounds
Spectral imaging to separate closely overlapping fluorophores
Mass cytometry (CyTOF) for highly multiplexed protein detection
Imaging mass cytometry for spatial proteomics including RPS19BP1
Analysis considerations:
Use appropriate software for spectral unmixing and colocalization analysis
Implement proper controls for autofluorescence and non-specific binding
Consider machine learning approaches for pattern recognition in complex datasets
Integration of RPS19BP1 data into systems biology frameworks can provide broader insights:
Network analysis:
Incorporate RPS19BP1 interaction data (protein-protein, protein-RNA) into existing network models
Identify network motifs and signaling pathways influenced by RPS19BP1
Predict new functions based on network positioning
Multi-omics integration:
Combine RPS19BP1 protein expression data with transcriptomics and epigenomics
Correlate RPS19BP1 levels with global ribosome profiling data
Integrate with patient clinical data for translational insights
Computational modeling:
Develop mathematical models of ribosome biogenesis incorporating RPS19BP1 function
Simulate effects of RPS19BP1 perturbation on cellular processes
Generate testable hypotheses for experimental validation