The MPST Antibody, Biotin conjugated is a rabbit polyclonal antibody specifically targeting the AA 102-208 region of human Mercaptopyruvate Sulfurtransferase (MPST), covalently conjugated to biotin. MPST is an enzyme involved in sulfide metabolism, catalyzing the transfer of sulfur from mercaptopyruvate to thiols like glutathione. The biotin conjugation enables detection via streptavidin-based systems, leveraging the high-affinity biotin-streptavidin interaction () .
| Parameter | Detail |
|---|---|
| Target | MPST (AA 102-208) |
| Host | Rabbit |
| Conjugate | Biotin |
| Reactivity | Human |
| Purification | Protein G (>95% purity) |
| Immunogen | Recombinant human MPST (AA 102-208) |
| Applications | ELISA |
Biotin conjugation typically targets lysine residues or cysteines, though methods like Z-domain biotinylation (using UV-induced crosslinking) ensure specificity to the Fc region, minimizing interference with antigen-binding sites . For MPST antibodies, biotinylation likely follows standard protocols, though the exact method is unspecified. The biotin-streptavidin system’s reversibility and high affinity make it ideal for immunoassays, though endogenous biotin in mitochondrial proteins may cause background noise in tissue samples .
Key Advantages of Biotin Conjugation:
Versatility: Compatible with streptavidin-linked enzymes (HRP, alkaline phosphatase) or fluorescent labels for signal amplification .
Stability: Biotin’s small size (~244 Da) preserves antibody functionality .
The MPST Antibody, Biotin conjugated, is validated for ELISA, where biotin-streptavidin-HRP systems amplify detection sensitivity . While not explicitly tested for Western blot, unconjugated MPST antibodies (e.g., NBP1-54734) demonstrate utility in this method, suggesting the conjugated variant could similarly detect MPST in lysates .
Concentration Dependency: Lower antibody concentrations may reduce signal intensity, as observed in immunohistochemistry (IHC) with biotinylated antibodies .
Background Noise: Endogenous biotin in mitochondria requires blocking steps (e.g., avidin/biotin blocking kits) for tissue-based assays .
| Method | Advantages | Limitations |
|---|---|---|
| ZBPA Biotinylation | Fc-specific, low background | Requires UV exposure |
| Lightning-Link | Rapid, amine-targeted | May conjugate non-target proteins |
Antibodies-online: MPST Antibody (AA 102-208) Biotin conjugated specifications .
PMC: Z-domain biotinylation for Fc-specific antibody labeling .
Nature: Biotin-streptavidin applications in immunoassays and ADC development .
Thermo Fisher: Avidin/streptavidin conjugates and biotin-blocking protocols .
MPST (Mercaptopyruvate Sulfurtransferase) is an enzyme involved in hydrogen sulfide (H₂S) production and cysteine metabolism. Biotin-conjugated antibodies offer significant advantages for MPST detection, primarily through signal amplification in detection systems. When an MPST antibody is conjugated with biotin, it enables highly sensitive detection through the strong interaction between biotin and streptavidin-based detection systems. This conjugation significantly improves signal-to-noise ratios in techniques like ELISA, immunohistochemistry, and other immunoassays. The biotin-conjugated antibodies are particularly valuable when working with low-abundance targets like MPST in complex biological samples, as they can enhance detection sensitivity without increasing background interference .
When selecting a biotin-conjugated MPST antibody, researchers should evaluate several critical specifications:
Epitope specificity: Antibodies targeting different amino acid regions (e.g., AA 102-208 vs. AA 1-297) may yield different experimental outcomes depending on protein folding and accessibility .
Host species: Typically rabbit or mouse-derived, affecting compatibility with other antibodies in multi-labeling experiments .
Clonality: Polyclonal antibodies offer multi-epitope recognition but potential batch variability, while monoclonal antibodies provide consistent specificity .
Purification method: Protein G purification (>95%) ensures higher specificity and reduced background .
Validated applications: Confirm the antibody has been validated for your specific application (e.g., ELISA, immunohistochemistry) .
Cross-reactivity profile: Verify species reactivity and potential cross-reactivity with related proteins .
Proper storage and handling are essential for maintaining the activity of biotin-conjugated MPST antibodies. These antibodies should generally be stored at -20°C for long-term preservation, with aliquoting recommended to prevent repeated freeze-thaw cycles that can degrade antibody performance. When working with the antibody, maintain cold chain practices by keeping it on ice during experimental procedures. For diluted working solutions, storage at 4°C is typically acceptable for short periods (1-2 weeks), but these should contain preservatives like sodium azide (0.02%) to prevent microbial growth. It's important to note that biotin conjugation can impact stability, so following manufacturer-specific recommendations is crucial. Additionally, protect biotin-conjugated antibodies from prolonged light exposure, as this can degrade the biotin moiety. Regular validation testing is recommended for antibodies stored for extended periods to ensure they maintain their binding specificity and signal strength .
Biotin interference presents a significant challenge when using biotin-conjugated antibodies, particularly in streptavidin-based detection systems. To mitigate this interference:
Pre-absorb samples with streptavidin-coated beads prior to antibody incubation to remove endogenous biotin.
Implement alternative detection systems that don't rely on streptavidin-biotin interactions. As noted in recent literature, "An ELISA without streptavidin-biotin binding is advisable to avoid interactions between biotin and target proteins, prevent biotin interference..." .
Use competitive blocking methods with excess free biotin to saturate non-specific binding sites.
Incorporate appropriate negative controls with varying biotin concentrations to establish background thresholds.
For mass spectrometry-based proteomics, consider antibody-based enrichment methods rather than streptavidin-based approaches, as these have demonstrated improved specificity with "two- to three-fold higher [enrichment] than that of NeutrAvidin" .
Quantify endogenous biotin in your biological samples and adjust protocols accordingly, particularly when working with biotin-rich tissues or conditions.
The choice between antibody-based and streptavidin-based enrichment methods significantly impacts experimental outcomes when working with biotin-conjugated antibodies:
| Parameter | Antibody-Based Enrichment | Streptavidin-Based Enrichment |
|---|---|---|
| Enrichment efficiency | 2-3 fold higher enrichment of biotinylated peptides | Lower enrichment efficiency for biotinylated peptides |
| Biotinylation site identification | Identified 1,695 biotinylation sites (30-fold more than streptavidin) | Identified only 185 distinct biotinylation sites |
| Workflow complexity | Simpler execution with fewer sample-handling steps | More complex protocol with additional handling steps |
| Interference | Less susceptible to endogenous biotin interference | More susceptible to endogenous biotin interference |
| Specificity for modified peptides | Higher specificity for biotinylated peptides | Higher affinity for biotinylated proteins |
As demonstrated in proximity labeling studies, "anti-biotin antibody-based enrichment yielded over 1,600 biotinylation sites on hundreds of proteins, an increase of more than 30-fold in the number of biotinylation sites identified compared to streptavidin-based enrichment of proteins" . For researchers investigating specific modification sites or conducting topological studies of MPST, antibody-based enrichment offers superior resolution and detection sensitivity .
Based on optimized protocols from recent research, the following methodology is recommended for enriching biotinylated MPST peptides:
Sample preparation:
Reconstitute peptides in 1 mL of IAP buffer (50 mM MOPS pH 7.2, 10 mM sodium phosphate, 50 mM NaCl) .
Input ratio should be 50 μg of anti-biotin antibody per 1 mg of peptide, as "titration experiments using spike-in samples identified the optimal input of anti-biotin antibody as 50 μg for 1 mg peptide input" .
Antibody preparation:
Incubation conditions:
Downstream analysis:
For mass spectrometry analysis, continue with standard protocols for washing, elution, and sample preparation.
For ELISA applications, follow manufacturer protocols for detection and quantification.
This protocol has demonstrated "unprecedented enrichment of biotinylated peptides from complex peptide mixtures" and is suitable for detailed analysis of MPST biotinylation sites.
A comprehensive validation strategy for biotin-conjugated MPST antibodies should include:
Specificity validation:
Sensitivity assessment:
Titration experiments with known quantities of recombinant MPST.
Limit of detection determination using serial dilutions.
Signal-to-noise ratio optimization in relevant biological matrices.
Application-specific validation:
For ELISA: Standard curve generation, spike-recovery experiments, and inter/intra-assay variation assessment.
For immunohistochemistry: Positive and negative tissue controls with appropriate counterstaining.
For proximity labeling: Confirmation of labeling specificity using subcellular fractionation and confocal microscopy .
Biotin conjugation verification:
Anti-biotin detection to confirm successful conjugation.
Functional testing using streptavidin-based detection systems.
Assessment of biotin:antibody ratio and its impact on antigen binding.
Proper validation ensures reliable experimental results and helps troubleshoot potential issues before full-scale experiments are conducted.
Proximity labeling with biotin-conjugated MPST antibodies requires careful experimental design:
Enzyme selection: APEX2 peroxidase has shown excellent results in mitochondrial proximity labeling studies, providing "tight overlap" between biotinylated proteins and the target construct .
Labeling conditions: Optimize H₂O₂ exposure time and concentration to balance labeling efficiency with cell viability, as biotinylation should be "induced in an APEX2- and H₂O₂-dependent manner" .
Controls implementation:
Enrichment strategy: Choose antibody-based enrichment for biotinylated peptides rather than streptavidin-based protein enrichment for superior site identification:
Data analysis: Apply stringent filtering criteria (identification in ≥2 replicates) to ensure reliability of identified biotinylation sites .
Optimizing ELISA protocols for biotin-conjugated MPST antibodies requires attention to several critical parameters:
Detection system selection:
Substrate optimization:
Blocking strategy:
Antibody titration:
Perform checkerboard titration to determine optimal antibody concentration.
Start with manufacturer's recommended dilution and adjust based on signal-to-noise ratio.
Sample preparation:
Consider pre-adsorption steps to remove potential cross-reactive elements.
Immunoaffinity chromatography using target protein-coupled agarose beads can improve specificity, similar to the method described for other antibodies: "prepared from monospecific antiserum by immunoaffinity chromatography using Mouse IgG1 coupled to agarose beads followed by solid phase adsorption(s)" .
Non-specific binding is a common challenge with biotin-conjugated antibodies. To address this issue:
Implement stringent blocking protocols:
Increase washing stringency:
Add detergents like Tween-20 (0.05-0.1%) to washing buffers.
Perform additional washing steps after antibody incubation.
Antibody pre-adsorption:
Cross-reactivity testing:
Buffer optimization:
By implementing these strategies, researchers can minimize background and enhance the signal-to-noise ratio in their experiments.
Mass spectrometry-based proteomics with biotin-conjugated MPST antibodies requires specialized approaches:
Enrichment strategy selection:
Anti-biotin antibody enrichment significantly outperforms streptavidin-based methods:
Sample complexity management:
Biotinylation site identification:
Protocol optimization:
Data analysis approaches:
Implement specialized search algorithms capable of identifying biotin modifications.
Apply appropriate false discovery rate controls for modified peptide identification.
These considerations enable researchers to leverage the "unprecedented enrichment of biotinylated peptides from complex peptide mixtures" achievable with antibody-based approaches.
Biotin-conjugated MPST antibodies offer powerful approaches for investigating protein topology and interactions:
Proximity-dependent biotinylation:
Interaction mapping:
Topological analysis:
Spatial organization studies:
Functional domain mapping:
This multifaceted approach provides comprehensive insights into MPST's structural organization, interaction network, and functional domains.
The field of biotin-conjugated antibody technologies for MPST research is advancing rapidly, with several emerging trends:
Site-specific biotin conjugation strategies:
Next-generation enzymatic and chemical conjugation methods are enabling precise control over biotin positioning on the antibody molecule.
This controlled conjugation preserves antigen binding capacity while enhancing detection sensitivity.
Alternative detection systems:
Multiplex detection platforms:
Integration of biotin-conjugated MPST antibodies with multiplexed analysis systems.
Development of orthogonal labeling strategies compatible with biotin for simultaneous detection of multiple targets.
Advanced enrichment methodologies:
Computational approaches:
Machine learning algorithms for improved identification of true biotinylation sites versus background in complex datasets.
Predictive modeling of protein-protein interactions based on biotinylation patterns.
These advancements promise to further enhance the utility of biotin-conjugated MPST antibodies in diverse research applications.
Biotin-conjugated MPST antibodies offer distinct advantages for specific applications:
These applications leverage the unique properties of biotin conjugation while addressing potential limitations through optimized protocols and appropriate controls.