The RPS6KB2 Antibody Pair consists of two antibodies optimized for sandwich ELISA applications:
Capture Antibody: Mouse monoclonal antibody (100 µg) for target protein immobilization.
Detection Antibody: Rabbit polyclonal antibody (50 µg) for signal generation .
RPS6KB2 (also termed S6K2 or STK14B) is a serine/threonine kinase with distinct roles in:
Cancer progression: Amplification of the RPS6KB2 gene occurs in 15–20% of breast cancers and 5% of gastric carcinomas, correlating with poor prognosis and therapy resistance .
Cell survival: Regulates anti-apoptotic proteins like Bcl-XL and XIAP through mTORC1 signaling .
Immune modulation: Facilitates nuclear import of RORγ, critical for T-helper lymphocyte differentiation .
The antibody pair enables precise measurement of RPS6KB2 expression in clinical samples, aiding studies on:
Cancer biomarkers: Correlations between RPS6KB2 amplification and drug resistance in ER+/PgR+ breast tumors .
Therapeutic targeting: Evaluation of mTOR inhibitor efficacy in RPS6KB2-driven malignancies .
Sensitivity: Detects RPS6KB2 at low concentrations due to high-affinity binding.
Specificity: Minimal cross-reactivity with homologous kinases (e.g., S6K1) .
RPS6KB2 (Ribosomal Protein S6 Kinase, 70kDa, Polypeptide 2) is a member of the RSK (ribosomal S6 kinase) family of serine/threonine kinases. It contains a kinase catalytic domain and phosphorylates the S6 ribosomal protein and eukaryotic translation initiation factor 4B (eIF4B) . This phosphorylation is significant because it leads to increased protein synthesis and cell proliferation . RPS6KB2 is involved in multiple critical cellular pathways including regulation of cell growth, insulin signaling, and inflammation . Recent studies have shown genetic variation in RPS6KB2 is associated with risk of developing colon cancer, making it an important target for oncology research . Additionally, it appears to act downstream of mTOR signaling in response to growth factors and nutrients to promote cell proliferation, cell growth, and cell cycle progression in an alternative pathway regulated by MEAK7 .
An RPS6KB2 antibody pair consists of two matched antibodies specifically designed to work together for optimal detection and quantification of the RPS6KB2 protein. Unlike single antibodies, these pairs typically include:
A capture antibody (usually mouse monoclonal anti-RPS6KB2, approximately 100 μg) that binds to the target protein
A detection antibody (typically rabbit purified polyclonal anti-RPS6KB2, approximately 50 μg) that recognizes a different epitope on the captured protein
The dual-antibody approach enhances specificity and sensitivity compared to single-antibody detection methods, particularly in sandwich ELISA applications. This paired system minimizes cross-reactivity issues and improves signal-to-noise ratios in quantitative protein analysis .
When validating a new RPS6KB2 antibody pair, a systematic approach is essential:
Positive and negative controls: Include cell lines known to express RPS6KB2 (e.g., HeLa, SH-SY5Y, HL-60, SW620, MCF-7) as positive controls . For negative controls, use either cell lines with low/no expression or perform siRNA knockdown of RPS6KB2.
Cross-reactivity assessment: Test the antibody against samples from different species if working with non-human models. Known cross-reactivity includes human, mouse, and rat models for many RPS6KB2 antibodies .
Peptide competition assay: Pre-incubate the antibody with the immunizing peptide (if available) to confirm specificity.
Multiple techniques validation: Confirm results across different methods (WB, IF, IHC) to strengthen confidence in antibody specificity.
Molecular weight verification: Confirm detected bands match the expected molecular weight (calculated: 16 kDa/53 kDa; observed: often ~63 kDa due to post-translational modifications) .
Phospho-specific validation: For phospho-specific antibodies, treat samples with phosphatases to demonstrate specificity for the phosphorylated form .
The validation should be documented with appropriate controls for each experimental technique planned for future use.
Proper storage is critical for maintaining the activity and specificity of RPS6KB2 antibody pairs:
Temperature: Store antibody reagents at -20°C or lower for long-term storage .
Aliquoting: Divide the antibody solution into small aliquots to avoid repeated freeze-thaw cycles, which can significantly degrade antibody performance .
Short-term storage: For frequent use within a month, store at 4°C .
Freeze-thaw cycles: Minimize freeze-thaw cycles; each cycle can decrease antibody activity .
Buffer conditions: Most RPS6KB2 antibodies are supplied in phosphate buffered solution (pH 7.4) containing stabilizers (often 0.05%) and glycerol (typically 50%) .
Shipping considerations: Upon receipt of ice-packed antibodies, immediately transfer to recommended storage temperature .
Shelf life: Most products are valid for 12 months when stored as recommended .
Following these guidelines ensures optimal antibody performance throughout your experimental timeline.
Molecular weight discrepancies are common with RPS6KB2 antibodies and require systematic troubleshooting:
Post-translational modifications: RPS6KB2 undergoes extensive phosphorylation, which can significantly alter migration patterns. The calculated MW is often cited as 16 kDa/53 kDa, but the observed MW is frequently ~63 kDa .
Isoform detection: Multiple isoforms (P70-beta-1, P70-beta-2) may be detected, contributing to multiple bands .
Sample preparation effects: Different lysis buffers and denaturing conditions can affect protein migration.
Verification strategies:
Use phosphatase treatment to confirm phosphorylation-dependent mobility shifts
Compare with recombinant proteins of known molecular weight
Validate with genetic approaches (overexpression or knockdown)
Test multiple antibodies recognizing different epitopes
Expected variations: As noted in the Elabscience antibody documentation, "The actual band is not consistent with the expectation. Western blotting is a method for detecting a certain protein in a complex sample based on the specific binding of antigen and antibody. Different proteins can be divided into bands based on different mobility rates. The mobility is affected by many factors, which may cause the observed band size to be inconsistent with the expected size."
These variations should be documented and considered when interpreting experimental results.
RPS6KB2 is a key downstream effector in the mTOR signaling pathway, making antibody pairs valuable tools for studying this network:
Multiplex phosphorylation analysis: Use phospho-specific antibodies (e.g., phospho-S371 ) in combination with total RPS6KB2 antibodies to determine the activation state of the pathway. This approach allows calculation of phosphorylation-to-total protein ratios.
Temporal dynamics: Apply time-course experiments with stimuli such as growth factors, nutrients, or insulin to track RPS6KB2 activation kinetics.
Pharmacological intervention: Combine with mTOR inhibitors (rapamycin, torin) to assess pathway dependencies:
Pretreat cells with inhibitors before stimulation
Monitor changes in both RPS6KB2 and its substrates (S6, eIF4B)
Correlate with cellular outcomes like protein synthesis or proliferation
Pathway crosstalk analysis: Simultaneously probe multiple pathway components to understand network interactions:
Cellular localization studies: Use immunofluorescence to track RPS6KB2 translocation between cytoplasm and nucleus under different conditions, as RPS6KB2 has been reported in both cellular compartments .
This systematic approach enables researchers to map the functional relationships within complex signaling networks.
Studying RPS6KB2 phosphorylation requires specialized approaches:
Site-specific phospho-antibodies: Several key phosphorylation sites can be monitored with specific antibodies:
Multiplexed detection strategies:
Sequential reprobing of membranes with different phospho-specific antibodies
Multiplex flow cytometry with differently conjugated phospho-antibodies
Phospho-proteomic analysis combined with antibody validation
Manipulation of phosphorylation states:
Integration with mass spectrometry:
As shown in the research by Hutchinson et al., "We introduced individual Ser → Ala mutations at codons 235, 236, 240, 244, and 247 of rpS6 and expressed the mutant proteins in HEK 293T cells. The Ser-247 → Ala mutation ablated immunoreactivity, suggesting that the α-pPER2 antibody recognizes phosphorylated Ser-247" . This demonstrates the value of combining mutagenesis with antibody techniques for rigorous phosphorylation site analysis.
RPS6KB2 has significant implications in cancer research, and antibody pairs can be employed in several sophisticated approaches:
Cancer tissue profiling:
Use immunohistochemistry to assess RPS6KB2 expression and activation across tumor types
Compare with normal adjacent tissue to establish baseline expression
Correlate with clinical outcomes and treatment responses
Genetic variation correlation:
Combine with genotyping studies to investigate associations between RPS6KB2 genetic variants and protein expression/activation
Recent findings indicate "genetic variation in RPS6KB2 is associated with risk of developing colon cancer"
Assess potential as a biomarker for cancer susceptibility or progression
Signaling network analysis:
Molecular subtyping:
Therapeutic target validation:
Monitor RPS6KB2 inhibition in response to targeted therapies
Assess combination treatments targeting multiple pathway components
Identify resistance mechanisms through pathway reactivation
This multifaceted approach can provide insights into both fundamental cancer biology and potential therapeutic strategies.
Developing a reliable sandwich ELISA for RPS6KB2 quantification requires attention to several critical factors:
Antibody pair selection: Choose a validated pair with demonstrated specificity, as commercial RPS6KB2 antibody pairs are specifically optimized for this application .
Optimal working dilutions: As noted in technical documentation, "Optimal working dilution should be determined by the investigator" . Establish this through titration experiments:
Test various concentrations of capture and detection antibodies in a matrix format
Identify combinations providing maximum signal-to-noise ratio
Document optimal ratios in standardized protocols
Sample preparation optimization:
Evaluate different cell/tissue lysis buffers for maximum protein extraction
Test various blocking agents to minimize background
Determine if sample dilution is needed to prevent hook effects
Standard curve development:
Use recombinant RPS6KB2 to establish a reference curve
Ensure linearity across the expected concentration range
Include internal controls for inter-assay normalization
Validation parameters to assess:
Sensitivity (lower limit of detection)
Specificity (cross-reactivity with related proteins)
Precision (intra- and inter-assay coefficients of variation)
Recovery (spike-in experiments with known quantities)
Parallelism (dilutional linearity of biological samples)
Specific technical recommendations:
Following these methodological considerations will help establish a robust ELISA system for RPS6KB2 quantification.
Selecting the optimal RPS6KB2 antibody pair requires matching technical specifications to your specific research goals:
Application-specific considerations:
Target region and form:
Species compatibility:
Clonality considerations:
Monoclonal/polyclonal combinations for ELISA (increased specificity)
Monoclonal for consistent lot-to-lot reproducibility
Polyclonal for increased sensitivity in some applications
Validation data assessment:
Selecting antibodies based on these criteria will help ensure experimental success and data reliability.
When encountering weak or inconsistent signals with RPS6KB2 antibody pairs, a systematic troubleshooting approach should be employed:
Sample preparation issues:
Antibody-specific factors:
Technical optimization:
For ELISA: Modify coating buffers, incubation times, washing stringency
For WB: Adjust transfer conditions, blocking reagents, incubation temperatures
For IHC/IF: Optimize antigen retrieval methods, fixation protocols
Test different detection systems (HRP vs. fluorescent, amplification methods)
Biological variables:
Consider cell/tissue-specific RPS6KB2 expression levels
Evaluate post-translational modifications affecting epitope accessibility
Account for activation state (e.g., treatment with growth factors)
Check for genetic variations affecting antibody binding
Special considerations for RPS6KB2:
Documenting these troubleshooting steps and outcomes will help establish robust protocols for future experiments.
Beyond cancer, RPS6KB2 antibody pairs are enabling investigation of this kinase in various disease contexts:
Metabolic disorders:
RPS6KB2 is involved in insulin signaling and glucose metabolism
Antibody pairs are being used to study pathway dysregulation in diabetes models
Correlations between RPS6KB2 activation and insulin resistance can be quantified
Neurodegenerative diseases:
Growing evidence links mTOR pathway dysregulation to neurodegeneration
RPS6KB2 antibodies enable assessment of protein synthesis regulation in models of Alzheimer's and Parkinson's diseases
Phospho-specific antibodies help track altered signaling in patient-derived samples
Inflammatory conditions:
Aging research:
mTOR/S6K pathways are critical regulators of cellular senescence
RPS6KB2 antibodies support investigation of its specific role in aging mechanisms
Comparative studies between RPS6KB1 (S6K1) and RPS6KB2 (S6K2) functions
Cardiovascular diseases:
Emerging role in cardiac hypertrophy and remodeling
Antibody-based studies of expression/activation in different cardiac cell types
Investigation of responses to mechanical stress and hypoxia
These applications demonstrate how RPS6KB2 antibody pairs are contributing to our understanding of diverse pathological processes beyond their established role in cancer research.
Research is advancing several innovative approaches to improve RPS6KB2 detection:
Proximity ligation assays (PLA):
Combining RPS6KB2 antibodies with antibodies against interaction partners
Enabling visualization of protein complexes in situ
Providing subcellular resolution of protein interactions
Single-cell analysis technologies:
Adaptation of RPS6KB2 antibodies for mass cytometry (CyTOF)
Integration with single-cell western blotting platforms
Development of antibody panels for multiparameter flow cytometry
Nanobody and single-domain antibody approaches:
Smaller antibody derivatives with improved tissue penetration
Enhanced access to conformational epitopes
Reduced background in imaging applications
CRISPR-based tagging strategies:
Endogenous tagging of RPS6KB2
Validation of antibody specificity using gene-edited controls
Combining genetic and immunological approaches for enhanced specificity
Microfluidic antibody-based assays:
Miniaturized platforms requiring minimal sample volumes
Integrated systems for automated sample processing
Higher throughput screening of RPS6KB2 modulation
Computational antibody engineering:
In silico design of RPS6KB2-specific antibodies
Structure-based optimization of binding properties
Prediction of cross-reactivity with related kinases for improved specificity
These emerging technologies promise to expand both the sensitivity and specificity of RPS6KB2 detection in complex biological samples.
Improving RPS6KB2 antibody validation data sharing requires systematic approaches:
Comprehensive documentation standards:
Detailed experimental protocols including all buffer compositions
Raw data sharing (unprocessed blot images, flow cytometry plots)
Inclusion of positive and negative controls
Complete antibody information (catalog number, lot number, dilution)
Specialized antibody validation repositories:
Contribute to databases like Antibodypedia or the Antibody Registry
Upload validation data to community resources like CiteAb or Biocompare
Participate in antibody validation initiatives like the Antibody Validation Database
Publication practices:
Include detailed antibody validation data in supplements
Publish dedicated antibody characterization papers for extensively validated reagents
Cite both successful and unsuccessful antibody applications
Open science approaches:
Share protocols on platforms like protocols.io
Deposit raw data in appropriate repositories
Utilize electronic lab notebooks with sharing capabilities
Cross-laboratory validation networks:
Participate in multi-lab antibody testing initiatives
Establish standard reference samples for comparative analysis
Develop consensus reporting standards for antibody performance
Integration with -omics datasets:
Correlate antibody-based findings with RNA-seq or proteomics data
Validate specificity against knockout/knockdown datasets
Connect antibody validation to functional genomics resources