RPL23A (Ribosomal Protein L23A) is a component of the ribosomal 60S subunit, essential for protein synthesis and implicated in cellular processes like metastasis in hepatocellular carcinoma (HCC) . The Biotin-conjugated RPL23A antibody is a specialized immunological tool designed for high-specificity detection of this protein in research applications. Biotin conjugation enables linkage to streptavidin-based detection systems, enhancing sensitivity in assays like Western blotting (WB), immunoprecipitation (IP), and ELISA .
The Biotin-conjugated antibody is validated for detecting RPL23A in human cell lysates. In WB, it binds to the protein’s epitope, enabling visualization via streptavidin-HRP conjugates. For example:
Dilution Range: Typically 1:500–1:2000, depending on sample concentration .
Sensitivity: Detects RPL23A in complex cellular extracts, including tumor tissues .
Biotin conjugation facilitates efficient pull-down of RPL23A from lysates. This method is critical for studying protein interactions, such as RPL23A’s binding to MMP9 mRNA in HCC .
While not directly cited, Biotin-conjugated antibodies are integral to sandwich ELISA kits (e.g., GENLISA Human RPL23A ELISA) . These kits employ biotin-labeled detection antibodies for quantification, leveraging streptavidin-HRP complexes to amplify signals.
RPL23A promotes HCC metastasis by stabilizing MMP9 mRNA, enhancing its expression . Key findings include:
MMP9 Regulation: RPL23A binds the 3’UTR of MMP9 mRNA, increasing its stability and translation .
Clinical Correlation: High RPL23A expression correlates with poor prognosis in HCC patients .
Species: Primarily validated for human samples, though some antibodies show cross-reactivity with mouse and rat .
Epitope Coverage: Epitopes vary (e.g., AA 1-156, 59-156, C-term) , affecting assay specificity.
The table below contrasts the Biotin-conjugated antibody with non-conjugated variants:
| Feature | Biotin-Conjugated (NBP2-22284B) | Polyclonal (e.g., CAU21196) | Monoclonal (e.g., ABIN519862) |
|---|---|---|---|
| Conjugate | Biotin | Unconjugated | Unconjugated |
| Applications | WB, IP | WB, IHC, ICC, IP | WB, ELISA, IF |
| Host | Rabbit | Rabbit | Mouse |
| Detection System | Streptavidin-HRP | Primary/secondary antibodies | Primary/secondary antibodies |
RPL23A (60S ribosomal protein L23a) is a critical component of the large ribosomal subunit. It functions as an integral part of the large ribonucleoprotein complex responsible for protein synthesis in the cell . Research has demonstrated that RPL23A specifically binds to a defined region on the 26S rRNA, contributing to ribosomal structural integrity and function . Additionally, RPL23A may play an extraribosomal role in promoting p53/TP53 degradation, possibly through the stimulation of MDM2-mediated TP53 polyubiquitination . This suggests that beyond its canonical role in translation, RPL23A participates in cellular regulatory pathways affecting cell cycle and apoptosis.
Biotin-conjugated RPL23A antibodies contain covalently linked biotin molecules that enable strong binding to streptavidin and avidin proteins. This conjugation provides several methodological advantages over unconjugated antibodies:
Enhanced detection sensitivity through signal amplification via the biotin-streptavidin system
Increased flexibility in experimental design through multi-step detection protocols
Compatibility with a wider range of detection systems, including flow cytometry, ELISA, and immunohistochemistry
The biotin-streptavidin interaction has one of the strongest non-covalent binding affinities in nature (Kd ≈ 10^-15 M), which contributes to improved detection sensitivity when compared to conventional antibody detection systems.
Based on validated testing data, RPL23A antibodies have demonstrated consistent reactivity across multiple sample types:
When working with new sample types, researchers should perform optimization steps to establish appropriate antibody concentrations and assay conditions.
For Western blot applications using biotin-conjugated RPL23A antibodies, the following protocol parameters should be optimized:
Sample Preparation:
Antibody Dilution Range:
Protocol Modifications:
The observed molecular weight of 15 kDa matches the calculated molecular weight based on amino acid sequence, suggesting minimal post-translational modifications affect migration patterns on SDS-PAGE.
Non-specific binding is a common challenge when working with biotin-conjugated antibodies. Implement these methodological solutions to improve specificity:
Endogenous Biotin Blockade:
Pre-block samples with avidin followed by free biotin (avidin-biotin blocking kit)
This is especially critical for biotin-rich tissues like liver, kidney, and brain
Optimized Blocking Protocol:
Use casein-based blockers instead of BSA (which may contain endogenous biotin)
Incorporate 0.1% Tween-20 in blocking buffers to reduce hydrophobic interactions
Streptavidin-HRP Dilution Series:
Test multiple dilutions (1:5000, 1:10000, 1:20000)
Select the concentration that provides optimal signal-to-noise ratio
Sample Pre-absorption:
Pre-incubate diluted antibody with non-target tissue/cell lysate
Centrifuge and use the supernatant for the primary detection
Cross-reactivity assessments have demonstrated minimal non-specific binding with other ribosomal proteins when using well-validated RPL23A antibodies, ensuring experimental reliability and reproducibility.
Robust immunoprecipitation experiments with RPL23A antibodies require these methodologically essential controls:
Input Control:
5-10% of the pre-IP lysate should be run alongside IP samples
Confirms target protein presence in starting material
Isotype Control:
Use matched isotype antibody (e.g., rabbit IgG) at equivalent concentration
Identifies non-specific protein binding to antibody constant regions or beads
Technical Controls:
Validation Approach:
Reciprocal IP using antibodies against known interacting partners
Verification using multiple antibody clones targeting different epitopes
Successful IP experiments with RPL23A antibodies have been validated in mouse brain tissue, confirming the applicability of these protocols in complex biological samples .
RPL23A antibodies provide valuable tools for examining ribosome biogenesis pathways through these methodological approaches:
Nucleolar Stress Assessment:
Immunofluorescence co-localization with nucleolar markers (fibrillarin, nucleolin)
Quantification of nucleolar-nucleoplasmic distribution under stress conditions
Pre-ribosomal Particle Analysis:
Sucrose gradient fractionation followed by Western blotting
Identification of assembly intermediates using RPL23A as a marker
Ribosomal Subunit Integration:
Pulse-chase experiments with biotin-conjugated antibodies
Monitoring temporal incorporation into mature ribosomes
Biogenesis Defect Characterization:
Compare RPL23A levels in nuclear, nucleolar, and cytoplasmic fractions
Employ SILAC-based quantitative proteomics with RPL23A immunoprecipitation
This multi-parameter approach enables comprehensive analysis of how ribosomal stress conditions affect various stages of ribosome assembly and maturation.
The relationship between RPL23A and p53 represents an important extraribosomal function that can be investigated through these methodological strategies:
Protein-Protein Interaction Studies:
Co-immunoprecipitation using RPL23A antibodies to pull down MDM2 and p53
Proximity ligation assays to visualize in situ interactions
Functional Analysis:
Stress Response Dynamics:
Monitor RPL23A-p53-MDM2 complex formation under ribosomal stress
Track nucleolar-nucleoplasmic translocation following actinomycin D treatment
Ubiquitination Assays:
In vitro ubiquitination assays with recombinant RPL23A, MDM2, and p53
Immunoprecipitation with anti-ubiquitin antibodies followed by RPL23A detection
These approaches help elucidate the molecular mechanisms by which RPL23A contributes to p53 regulation, potentially linking ribosomal stress to cell cycle control pathways.
Distinguishing between RPL23A and RPL23 detection requires careful analysis due to their similar nomenclature but distinct biological identities:
Protein Characteristics Comparison:
Epitope Mapping Considerations:
Expression Pattern Analysis:
Both proteins are ubiquitously expressed but may show tissue-specific regulation
Quantitative PCR validation recommended alongside protein detection
Functional Redundancy Assessment:
Despite structural similarities, these proteins may have distinct extraribosomal functions
Knockout/knockdown experiments should target genes specifically
When conducting comparative studies, researchers should employ antibodies with validated specificity to avoid cross-reactivity issues that could confound experimental interpretation.
The optimized sandwich ELISA protocol for RPL23A detection includes these methodological steps:
Assay Preparation:
Coat microplate wells with capture antibody (monoclonal anti-RPL23A)
Block with 1% BSA in PBS for 1 hour at room temperature
Sample Processing:
Detection Procedure:
Add samples and incubate
Add biotin-labeled antibody followed by Streptavidin-HRP conjugate
Wash thoroughly between steps
Add TMB substrate and stop solution
Performance Metrics:
| Sample Dilution | Serum Recovery | EDTA Plasma Recovery |
|---|---|---|
| 1:2 | 89-97% | 85-94% |
| 1:4 | 93-102% | 92-101% |
| 1:8 | 81-96% | 87-96% |
| 1:16 | 93-106% | 82-90% |
This standardized protocol ensures high reproducibility and accuracy in RPL23A quantification across various biological samples .
For successful immunohistochemistry (IHC) applications using RPL23A antibodies, implement these methodological parameters:
Tissue Preparation:
Staining Protocol:
Signal Development:
DAB chromogen development: 5-10 minutes (monitor microscopically)
Counterstain: Hematoxylin (30 seconds to 1 minute)
Validation Controls:
Optimization of antibody concentration should be performed for each new tissue type, particularly when investigating RPL23A expression in pathological specimens with altered protein expression patterns.
Ensuring reproducible quantification of RPL23A expression requires implementing these methodological strategies:
Standardized Reference Materials:
Normalization Approach:
For Western blots: Normalize to multiple housekeeping proteins (β-actin, GAPDH, tubulin)
For qPCR: Use geometric mean of multiple reference genes
Technical Replication:
Perform triplicate technical replicates
Calculate coefficient of variation (<15% acceptable)
Image Analysis Standardization:
Use identical acquisition parameters across samples
Implement automated quantification software with defined intensity thresholds
Apply background subtraction algorithms consistently
Following these guidelines helps minimize both technical and biological variability, enabling more reliable detection of true experimental effects when studying RPL23A expression changes.
Biotin-conjugated RPL23A antibodies can enhance ribosome profiling through these methodological adaptations:
Translating Ribosome Affinity Purification (TRAP):
Use biotin-conjugated RPL23A antibodies for selective isolation of ribosomes
Combine with streptavidin magnetic beads for rapid purification
Extract and sequence associated mRNAs to identify actively translated transcripts
Spatial Ribosome Mapping:
Employ proximity ligation assays with biotin-conjugated RPL23A antibodies
Map subcellular localization of translation complexes
Identify spatially restricted translation events
Specialized Ribosome Identification:
Assess co-localization with other ribosomal proteins to identify heterogeneous ribosomes
Investigate potential specialized functions of RPL23A-containing ribosomes
Integration with CRISPR Screens:
Use biotin-conjugated RPL23A antibodies to isolate ribosomes from CRISPR-modified cells
Identify genetic dependencies affecting RPL23A incorporation
These applications leverage the high specificity and affinity of the biotin-streptavidin system to enable precise isolation of RPL23A-containing complexes for downstream analysis.
When applying RPL23A antibodies in cancer research, researchers should consider these methodological aspects:
Expression Level Analysis:
p53 Pathway Interactions:
Ribosomal Stress Response:
Evaluate RPL23A as a biomarker for ribotoxic stress in cancer cells
Study nucleolar stress responses mediated by RPL23A relocalization
Investigate sensitivity to ribosome-targeting therapeutics
Therapeutic Resistance Mechanisms:
Examine RPL23A's potential role in drug resistance pathways
Investigate its contribution to stress adaptation in cancer cells
These methodological approaches help characterize the complex roles of RPL23A in cancer biology, potentially identifying novel therapeutic vulnerabilities.