The RBKS antibody is primarily available as a rabbit polyclonal antibody (unconjugated), optimized for specificity and reproducibility. Key features include:
Proteintech reports an observed molecular weight of 34 kDa for RBKS, consistent with its role as a monomeric enzyme .
The RBKS antibody enables detailed studies of ribose metabolism, with applications including:
Cancer Research: IHC validation on cancer tissues (e.g., breast, lung) to assess RBKS expression in disease contexts .
Metabolic Pathway Analysis: WB detection of RBKS in cell lines (e.g., THP-1, HepG2) to study ribose-5-phosphate production .
Subcellular Localization: IF studies to map RBKS distribution in cellular compartments .
Suppliers employ stringent validation protocols to ensure specificity and reproducibility:
Atlas Antibodies:
Proteintech:
This antibody targets ribokinase, an enzyme that catalyzes the ATP- and magnesium-dependent phosphorylation of ribose at the O-5 position. The resulting D-ribose-5-phosphate serves as a precursor for nucleotide, histidine, and tryptophan biosynthesis, and is also a key component of the pentose phosphate pathway.
RBKS antibody targets the human ribokinase protein (also known as RBKS, EC 2.7.1.15), which is encoded by the RBKS gene . This antibody is commonly available as a polyclonal rabbit IgG that has been antigen and protein A affinity-purified . The specific antibody referenced in the search results is raised against purified recombinant Human RBKS protein (Accession#: NP_071411.1; Met1-Phe322) . Ribokinase is an enzyme involved in carbohydrate metabolism, specifically in the phosphorylation of ribose to ribose-5-phosphate in the pentose phosphate pathway.
RBKS antibody can be utilized across multiple experimental platforms, with the most common applications including:
Western Blot: For detecting RBKS protein in cell or tissue lysates
Immunohistochemistry-Paraffin (IHC-P): For visualizing RBKS localization in fixed tissue sections
Immunoprecipitation (IP): For isolating RBKS protein and its complexes
Enzyme-Linked Immunosorbent Assay (ELISA): For quantitative detection of RBKS protein
The optimal dilution for each application must be experimentally determined based on the specific experimental conditions and the particular antibody being used .
Proper validation controls are essential for ensuring reliable results with RBKS antibody. Recommended controls include:
Positive control: Cell lines or tissues known to express RBKS
Negative control: RBKS knockout (KO) cell lines or tissues, which represent the gold standard for specificity testing
Isotype control: Use of non-specific antibodies of the same isotype (e.g., rabbit IgG) to identify non-specific binding
Blocking peptide: Competition assays using the immunizing peptide to confirm specificity
Secondary antibody-only control: To identify background from the detection system
For optimal performance and longevity of the RBKS antibody:
Store at 4°C in the dark, as recommended for the biotin-conjugated version
Avoid repeated freeze-thaw cycles
Use sterile techniques when handling
Follow manufacturer's recommendations for reconstitution if lyophilized
Consider aliquoting the antibody to minimize freeze-thaw cycles if stored at -20°C
Verify stability period (typically guaranteed for 1 year from date of receipt)
To ensure reproducibility, detailed documentation is crucial when using RBKS antibody. Record:
| Information Type | Details to Record |
|---|---|
| Antibody Identity | RRID (Research Resource Identifier), manufacturer, catalog number, lot number |
| Antibody Properties | Type (monoclonal/polyclonal), host species, isotype, conjugation |
| Experimental Conditions | Dilution used, incubation time/temperature, blocking agent |
| Validation Evidence | Positive/negative controls used, validation method results |
| Sample Properties | Cell/tissue type, preparation method, protein concentration |
Scientific papers must include detailed methods sections, as well as unambiguous descriptions of the antibodies used including RRID, source, catalog number, details as to the type of antibody, immunogen used to raise the antibody, and protein concentrations used in each assay .
Antibody performance is strongly influenced by assay context, requiring validation specific to each application . For RBKS antibody:
Western Blot Validation:
Test on cell lines with known RBKS expression levels
Include RBKS knockout or knockdown samples as negative controls
Verify the observed molecular weight matches the predicted size of RBKS
Perform peptide competition assay with the immunizing peptide
Compare results with another RBKS antibody targeting a different epitope
IHC-P Validation:
Test on tissues with known RBKS expression patterns
Compare with in situ hybridization data for RBKS mRNA
Include RBKS knockout tissues as negative controls
Evaluate specificity through peptide competition
Verify subcellular localization is consistent with known RBKS biology
Because the performance of primary antibodies is strongly influenced by assay context, validation strategies must be tailored to each type of immunoassay .
Inconsistent Western blot results with RBKS antibody may stem from multiple sources:
Sample Preparation Issues:
Ensure complete protein denaturation and reduction
Verify protein extraction method is appropriate for RBKS
Check for protease inhibitor inclusion in lysis buffers
Quantify and normalize protein loading accurately
Antibody-Related Factors:
Optimize primary antibody concentration (perform titration)
Ensure antibody lot consistency (lot-to-lot variation can be significant)
Verify storage conditions haven't compromised antibody activity
Consider testing alternative RBKS antibodies targeting different epitopes
Protocol Optimization:
Adjust blocking conditions to reduce background
Optimize incubation times and temperatures
Modify washing steps to improve signal-to-noise ratio
Consider transfer efficiency for RBKS protein molecular weight
Detection System:
Ensure appropriate secondary antibody selection
Optimize ECL substrate or fluorescent detection parameters
Check for scanner/imager sensitivity settings
The validation of primary antibodies is crucial as their performance is strongly influenced by assay context .
Assessing potential cross-reactivity of RBKS antibody is critical for accurate data interpretation:
Sequence Homology Analysis:
Identify proteins with sequence similarity to RBKS
Assess whether the immunogen sequence has homology to other proteins
Experimental Assessment:
Test on samples expressing related proteins but not RBKS
Use mass spectrometry to identify all proteins immunoprecipitated by the antibody
Perform epitope mapping to understand antibody binding sites
Species Cross-Reactivity:
Documentation:
Record all cross-reactivity testing in lab notebooks
Report observed cross-reactivity in publications
Contact manufacturers to report unexpected cross-reactivity
The choice between polyclonal and monoclonal RBKS antibodies depends on research goals:
Polyclonal RBKS Antibodies:
Recognize multiple epitopes, potentially increasing detection sensitivity
May have greater batch-to-batch variability
Can be more robust against minor protein modifications or conformational changes
Example: The referenced biotin-conjugated polyclonal rabbit IgG RBKS antibody
Monoclonal RBKS Antibodies:
Recognize a single epitope, providing higher specificity
Offer greater consistency between batches
May be more sensitive to epitope masking or modification
Preferred for applications requiring high specificity
Researchers are encouraged, where possible, to avoid polyclonals and use well-characterized recombinant antibodies instead for improved reproducibility .
When faced with contradictory results using RBKS antibody:
Antibody Identity Verification:
Methodological Differences:
Compare detailed protocols including sample preparation, dilutions, and detection methods
Standardize key experimental parameters across studies
Implement the same positive and negative controls
Orthogonal Validation:
Confirm findings using alternative methods not dependent on antibodies
Employ genetic approaches (knockout/knockdown) to verify specificity
Consider using mass spectrometry for protein identification
Multi-laboratory Validation:
Establish collaborations to test the same RBKS antibody under different conditions
Document and share detailed protocols to identify sources of variation
Optimal Western blot design for RBKS antibody requires careful consideration of multiple factors:
Sample Preparation:
Select appropriate lysis buffer (considering RBKS subcellular localization)
Include protease and phosphatase inhibitors to prevent degradation
Determine optimal protein concentration (typically 20-50 μg per lane)
Properly denature samples (95°C for 5 minutes in reducing buffer)
Gel Selection and Separation:
Choose appropriate percentage gel based on RBKS molecular weight
Consider gradient gels for better resolution
Ensure complete protein transfer to membrane (optimize transfer time/voltage)
Antibody Application:
Detection and Quantification:
Select appropriate detection system compatible with biotin conjugation
Ensure linear range of detection for quantification
Use appropriate normalization controls (loading controls)
Document exposure settings for reproducibility
Practical strategies for the validation of primary antibodies are essential since their performance is strongly influenced by assay context .
For successful IHC with RBKS antibody, consider:
Tissue Preparation:
Optimize fixation method and duration
Select appropriate embedding and sectioning techniques
Determine need for antigen retrieval methods
Establish optimal section thickness
Antibody Application:
Detection System:
Controls:
Include positive control tissue with known RBKS expression
Include negative control tissue (RBKS knockout when available)
Use isotype control antibody to assess non-specific binding
Include secondary-only control to assess background
Effective immunoprecipitation with RBKS antibody requires:
Lysis Conditions:
Select lysis buffer that preserves protein-protein interactions
Include appropriate protease and phosphatase inhibitors
Optimize cell lysis conditions (temperature, duration, method)
Clear lysates thoroughly before immunoprecipitation
Antibody Binding:
Washing and Elution:
Establish washing stringency to minimize non-specific binding
Optimize washing buffer composition and number of washes
Select appropriate elution conditions
Verify successful elution of target protein
Controls and Validation:
Include IgG control immunoprecipitation
Verify specific enrichment of RBKS in immunoprecipitates
Consider confirming interacting partners by mass spectrometry
Validate key interactions by reciprocal immunoprecipitation
For optimal ELISA performance with RBKS antibody:
Assay Format Selection:
Antibody and Reagent Optimization:
Sample Preparation:
Determine optimal sample dilution to remain in the linear range
Consider sample pre-treatments to expose epitopes
Establish appropriate controls for matrix effects
Validation and Controls:
Include standard curves with recombinant RBKS protein
Establish assay specificity using RBKS-depleted samples
Determine assay sensitivity, precision, and reproducibility
Include appropriate negative and positive controls
Accurate quantification of RBKS protein by Western blot requires:
Image Acquisition:
Capture images within the linear dynamic range of the detection system
Use consistent exposure settings between experimental replicates
Avoid pixel saturation which compromises quantification
Include a standard curve if absolute quantification is required
Normalization Approaches:
Use appropriate loading controls (housekeeping proteins)
Consider total protein normalization methods (e.g., stain-free technology)
Validate stability of reference proteins under experimental conditions
Apply consistent normalization across all samples
Quantification Methods:
Use appropriate software for densitometry analysis
Define bands consistently across all samples
Subtract background appropriately
Apply statistical tests appropriate for the experimental design
Data Representation:
Present raw blot images alongside quantification
Report both technical and biological replicates
Include error bars and statistical significance
Present fold-changes relative to controls when appropriate
Understanding and controlling sources of variability is crucial:
Antibody-Related Variability:
Lot-to-lot variations, especially for polyclonal antibodies
Antibody degradation due to improper storage
Inconsistent dilution preparation
Cross-reactivity with similar proteins
Sample-Related Variability:
Inconsistent sample preparation
Protein degradation during storage
Variation in protein extraction efficiency
Heterogeneity in biological samples
Protocol-Related Variability:
Inconsistent blocking or washing steps
Temperature and incubation time variations
Differences in detection reagents or equipment settings
Variations in quantification methods
Researcher-Related Variability:
Differences in technique between researchers
Inconsistent application of protocols
Unconscious bias in data analysis
Variations in reporting practices
It has been estimated that ~50% of commercial antibodies fail to meet even basic standards for characterization, resulting in financial losses of $0.4–1.8 billion per year in the United States alone .
Comprehensive reporting enhances experimental reproducibility:
Antibody Identification:
Validation Evidence:
Describe validation methods used
Include or reference validation data
Specify positive and negative controls
Report known limitations or cross-reactivity
Experimental Conditions:
Detail buffer compositions
Specify dilutions used for each application
Report incubation conditions (time, temperature)
Describe blocking and washing procedures
Data Analysis Methods:
Explain quantification approach
Describe normalization method
Specify software used for analysis
Detail statistical methods applied
Scientific papers must include detailed methods sections, as well as unambiguous descriptions of the antibodies used (RRID, source, catalog number, details as to the type of antibody, immunogen used to raise the antibody, protein concentrations used in each assay) .
Recombinant antibody technology provides several advantages:
Consistency and Reproducibility:
Defined amino acid sequence eliminates lot-to-lot variation
Consistent performance across experiments and time
Reduced risk of antibody drift over production cycles
Customization Potential:
Ability to engineer specific characteristics
Optimization of affinity and specificity
Creation of novel formats (e.g., bispecific antibodies)
Ethical and Practical Benefits:
Reduction in animal use for antibody production
Potential for unlimited supply
Known molecular identity allowing better cross-validation
Research Transparency:
Where possible, end users should avoid the use of polyclonals, and use well-characterized recombinant antibodies instead for improved reproducibility .
RBKS antibody enables investigation of ribokinase's role in metabolism:
Pentose Phosphate Pathway Regulation:
Visualization of RBKS expression patterns across tissues
Correlation of RBKS levels with metabolic states
Analysis of RBKS interactions with regulatory proteins
Disease Associations:
Examination of RBKS expression in metabolic disorders
Investigation of potential dysregulation in cancer metabolism
Study of RBKS in rare genetic disorders affecting ribose metabolism
Cellular Localization Studies:
Determination of subcellular compartmentalization of RBKS
Analysis of dynamic changes in localization under metabolic stress
Co-localization with other metabolic enzymes
Post-translational Modifications:
Detection of regulatory modifications of RBKS protein
Correlation of modifications with enzymatic activity
Identification of signaling pathways controlling RBKS function
Integration of RBKS antibody-based methods with other technologies:
Proteomics Integration:
RBKS immunoprecipitation coupled with mass spectrometry
Correlation of RBKS protein levels with global proteome changes
Analysis of RBKS interaction networks
Metabolomics Connections:
Relating RBKS expression to metabolite profiles
Understanding impact of RBKS activity on metabolic fluxes
Integrating enzyme levels with pathway outputs
Transcriptomics Correlation:
Comparing RBKS protein levels with mRNA expression
Investigating post-transcriptional regulation
Analyzing coordinated expression with related enzymes
Single-cell Multi-omics:
Using RBKS antibody in single-cell protein analysis
Correlating RBKS expression with single-cell transcriptomics
Investigating cell-to-cell variability in metabolic enzyme expression