MPST deficiency in mice (Mpst−/−) leads to:
Obesity and Insulin Resistance: Increased body weight, impaired glucose tolerance, and elevated fasting insulin/HOMA-IR scores under high-fat diet (HFD) .
Mitochondrial Dysfunction: Reduced expression of TIM/TOM complex genes and respiratory chain proteins, impairing oxidative phosphorylation and fatty acid oxidation .
Oxidative Stress: Elevated H₂O₂ levels in adipose tissue, exacerbating inflammation .
MPST maintains mitochondrial protein import by regulating sulfide availability, which is critical for mitochondrial function . Its deficiency disrupts:
Mitochondrial Membrane Proteins: Downregulation of TIMM9, SEPT11, and TMEM189 .
Antioxidant Defense: Reduced glutathione-associated gene expression, increasing oxidative stress .
MPST antibodies are validated for:
Western Blotting: Detects MPST in human/mouse/rat liver lysates (e.g., H-11 at 1:1000 dilution) .
Immunohistochemistry: Localizes MPST in cytoplasmic and mitochondrial compartments (e.g., HPA001240) .
Flow Cytometry: Polyclonal antibodies (e.g., ABIN3003390) enable MPST detection in intact cells .
MPST, also known as mercaptopyruvate sulfurtransferase or TST2, is a 297 amino acid enzyme that plays a crucial role in cellular detoxification processes. It catalyzes the transfer of sulfur ions to thiol compounds, such as cyanide, thereby facilitating cyanide detoxification and cysteine degradation . This enzymatic function protects cells from the toxic effects of cyanide exposure, which can occur in various pathological conditions. MPST can exist as a monomer or as a disulfide-linked homodimer, and its proper functioning is essential for maintaining cellular redox balance .
Deficiency in MPST has been linked to the rare disorder mercaptolactate-cysteine disulfiduria (MCDU), highlighting MPST's significance in metabolic pathways . The gene encoding MPST is located on human chromosome 22, which houses over 500 genes and is the second smallest human chromosome. Interestingly, mutations in several genes on this chromosome are implicated in various disorders, including Phelan-McDermid syndrome, Neurofibromatosis type 2, autism, and schizophrenia .
MPST antibodies, such as the monoclonal H-11 variant, function through specific recognition of epitopes on the MPST protein. The specificity of this interaction is determined by the complementarity-determining regions (CDRs) of the antibody, which are designed to match the three-dimensional structure of specific regions on the target protein . For monoclonal antibodies like MPST (H-11), the antibody is a mouse monoclonal IgG1 kappa light chain antibody that detects MPST protein across multiple species (mouse, rat, and human), making it versatile for comparative studies .
In detection systems, primary MPST antibodies bind directly to the target protein, followed by visualization using secondary detection systems such as labeled secondary antibodies or direct detection if the primary antibody is conjugated (HRP, PE, FITC, or Alexa Fluor® variants) . This two-tier system amplifies the signal and enhances detection sensitivity. The specificity of monoclonal antibodies enables precise detection even in complex biological samples, though researchers should always validate specificity through appropriate controls.
MPST antibody can be utilized in multiple experimental techniques, each providing different insights into protein expression, localization, and function:
Western Blotting (WB): Detects MPST in cell or tissue lysates, allowing quantification of expression levels and analysis of post-translational modifications .
Immunoprecipitation (IP): Isolates and concentrates MPST from complex mixtures, enabling study of protein-protein interactions and co-immunoprecipitation of binding partners .
Immunofluorescence (IF): Visualizes the cellular and subcellular localization of MPST within cells or tissue sections, providing spatial information about protein distribution .
Immunohistochemistry (IHC): Detects MPST in fixed tissue sections, allowing examination of expression patterns across different tissues and in disease states .
Enzyme-linked Immunosorbent Assay (ELISA): Enables quantitative measurement of MPST protein levels in biological samples such as serum, plasma, or cell culture supernatants .
The availability of MPST antibody in various conjugated forms significantly expands its research applications across different detection platforms and experimental setups .
Optimizing MPST antibody specificity is critical for reliable results, particularly in challenging experimental contexts:
Epitope Mapping and Computational Prediction: Use computational approaches like OptCDR to predict antibody-antigen interactions and determine which specific region of MPST the antibody recognizes . This knowledge helps predict potential cross-reactivity and guides experimental design modifications.
Validation with Multiple Controls: Implement a rigorous validation strategy using:
MPST knockout or knockdown samples as negative controls
Recombinant MPST protein as positive controls
Pre-absorption with purified antigen to demonstrate specificity
Multiple antibodies that recognize distinct MPST epitopes
Optimized Blocking Protocols: Systematic testing of different blocking agents (BSA, milk proteins, serum) and concentrations to minimize non-specific binding while preserving specific signal.
Buffer Optimization: Adjusting salt concentration, pH, and detergent levels in washing and incubation buffers can significantly enhance specificity by reducing low-affinity interactions.
Titration Experiments: Perform systematic antibody dilution series to determine the optimal concentration that maximizes signal-to-noise ratio across different applications .
Implementation of these approaches should be tailored to the specific experimental technique being used, as optimal conditions may vary between western blotting, immunofluorescence, and other applications.
Rigorous validation of MPST antibody across experimental platforms requires a systematic approach:
Cross-Platform Concordance Analysis:
Compare MPST detection across multiple techniques (WB, IF, IHC, ELISA)
Verify that protein expression patterns are consistent across methods
Document differences in sensitivity and resolution between techniques
Specificity Validation Methods:
Peptide competition assays: Pre-incubate antibody with purified MPST peptide
Genetic validation: Test in MPST-knockout systems or siRNA knockdown samples
Orthogonal validation: Correlate antibody-based detection with mRNA expression
Quantitative Performance Metrics:
Determine detection limits for each platform
Establish linear dynamic range for quantitative applications
Calculate coefficient of variation across replicates
Standardization Protocols:
Validation Parameter | Western Blot | Immunofluorescence | ELISA | Immunohistochemistry |
---|---|---|---|---|
Recommended Dilution | 1:500-1:1000 | 1:200-1:500 | 1:1000-1:5000 | 1:100-1:200 |
Positive Control | Liver lysate | HeLa cells | Recombinant MPST | Liver tissue |
Expected Signal | ~33 kDa band | Cytoplasmic | Standard curve-dependent | Cytoplasmic staining |
Critical Controls | Loading control, blocking peptide | No primary Ab, counterstain | Standard curve, blank | Isotype control, no primary Ab |
Lot-to-Lot Consistency Testing:
Compare new antibody lots against reference standards
Document performance metrics across different manufacturing batches
This comprehensive validation approach ensures reliable and reproducible results across different experimental platforms while identifying platform-specific limitations.
Designing robust experiments with MPST antibody requires careful consideration of multiple factors:
Research Question Alignment:
For protein quantification: Western blot or ELISA protocols
For subcellular localization: Immunofluorescence or immunoelectron microscopy
For tissue distribution: Immunohistochemistry or tissue microarrays
For protein interactions: Co-immunoprecipitation or proximity ligation assays
Sample Preparation Considerations:
MPST exists in both monomer and disulfide-linked homodimer forms, requiring careful consideration of reducing vs. non-reducing conditions
Cell lysis buffers should include appropriate protease inhibitors to prevent degradation
For preserved spatial information, fixation method significantly impacts epitope accessibility
Antibody Selection Criteria:
Control Integration:
Positive controls: Include samples with known MPST expression
Negative controls: Include samples lacking MPST expression
Technical controls: Include procedural controls (no primary antibody)
Loading/normalization controls: Essential for quantitative comparisons
Statistical Design Elements:
Power analysis to determine appropriate sample size
Randomization strategies to minimize bias
Blinding procedures for subjective assessments
Technical and biological replication strategy
Data Acquisition Planning:
Standardized image acquisition parameters
Quantification methodology defined a priori
Dynamic range considerations for detection systems
A thoughtfully designed experimental plan considering these factors will significantly enhance the reliability and interpretability of results obtained with MPST antibody.
Determining the optimal dilution for MPST antibody requires a systematic approach to balance sensitivity, specificity, and resource efficiency:
Structured Titration Protocol:
Quantitative Evaluation Criteria:
Calculate signal-to-noise ratio (specific signal intensity/background intensity)
Determine detection limit (minimum detectable amount of protein)
Assess dynamic range (linear relationship between signal and protein amount)
Evaluate technical reproducibility across replicates
Application-Specific Optimization:
Western Blotting: Focus on band specificity and minimal background
Immunofluorescence: Optimize for clear subcellular localization signal
ELISA: Determine dilution yielding optimal standard curve parameters
IHC: Balance specific staining with minimal background in negative control tissues
Standardization Documentation:
Dilution Parameter | Documentation Element |
---|---|
Optimal Dilution | Record exact dilution ratio and diluent composition |
Incubation Conditions | Temperature, duration, and vessel type |
Detection System | Secondary antibody details, substrate, or fluorophore |
Signal Evaluation | Quantitative metrics used to determine optimality |
Lot Number | Reference for future comparison if performance changes |
Multi-factor Optimization:
Consider interaction between antibody dilution and other parameters:
Incubation time (shorter times may require more concentrated antibody)
Sample amount (adjust antibody:antigen ratio)
Detection system sensitivity (more sensitive systems allow greater dilution)
This methodical approach to antibody dilution optimization ensures consistent results while maximizing reagent efficiency across experimental applications.
A comprehensive control strategy is essential for validating experiments with MPST antibody:
Hierarchical Control Framework:
Antibody Controls: Validate antibody specificity and performance
Sample Controls: Verify sample integrity and relevance
Procedural Controls: Ensure technique reliability
Quantification Controls: Enable accurate measurement
Biological Context Controls: Connect to physiological relevance
Mandatory Antibody-Specific Controls:
Specificity Controls:
MPST knockout/knockdown samples
Peptide competition/pre-absorption testing
Isotype controls matching antibody class
Performance Controls:
Positive reference standards with known MPST expression
Titration series to demonstrate detection dynamic range
Secondary-only controls to assess non-specific binding
Technique-Specific Control Requirements:
Control Documentation Standards:
Maintain detailed records of control performance
Include representative control images/data in research reports
Document lot numbers and sources of all control materials
Establish acceptance criteria for control performance
Integrated Control Validation:
Cross-validate findings using orthogonal methods
Correlate protein expression with mRNA levels where applicable
Compare results across different MPST antibody clones when available
Quantification and interpretation of MPST antibody binding data requires appropriate analytical approaches tailored to the experimental technique:
Western Blot Quantification Methodology:
Densitometric analysis using specialized software (ImageJ, ImageLab, etc.)
Normalization workflow:
Calculate relative density ratio: (MPST band intensity / loading control intensity)
Express as fold-change relative to control samples
Apply consistent background subtraction methods
Data transformation considerations:
Log transformation for wide dynamic ranges
Confirmation of linear detection range
Immunofluorescence/IHC Quantification Approaches:
Intensity-based measurements:
Mean fluorescence intensity per cell/region
Integrated density (area × mean intensity)
Background-corrected total cell fluorescence
Distribution-based analysis:
Nuclear/cytoplasmic intensity ratios
Colocalization coefficients with organelle markers
Spatial pattern analysis
ELISA Data Processing Framework:
Standard curve modeling:
Four-parameter logistic regression for sigmoid curves
Linear regression for proportional ranges
Quality control metrics:
Coefficient of variation between replicates (<15% typically acceptable)
Lower limit of quantification determination
Spike-in recovery rates (80-120% typically acceptable)
Integrated Multi-parameter Analysis:
Correlation of MPST levels with:
Related metabolic enzymes
Cellular stress markers
Functional outcomes
Multivariate analysis to identify:
Pattern recognition in complex datasets
Cluster analysis for sample grouping
Principal component analysis for dimensionality reduction
Visualization Best Practices:
Select appropriate visualizations:
Bar graphs for group comparisons with error bars
Scatter plots for correlation analysis
Box plots for distribution characteristics
Include all data points when sample size permits
Standardize axis scaling and labels across related experiments
Rigorous application of these quantitative frameworks ensures reliable interpretation of MPST antibody binding data across diverse experimental platforms.
Statistical Approach Decision Tree:
First assess data distribution:
Shapiro-Wilk or Kolmogorov-Smirnov tests for normality
Q-Q plots for visual assessment of distribution
Based on results, select parametric or non-parametric methods
Comparative Analysis Methods:
For two-group comparisons:
Parametric: Student's t-test (paired/unpaired based on experimental design)
Non-parametric: Mann-Whitney U test (unpaired) or Wilcoxon signed-rank (paired)
For multiple group comparisons:
Parametric: One-way ANOVA with post-hoc tests (Tukey for all-pairwise, Dunnett for comparison to control)
Non-parametric: Kruskal-Wallis with post-hoc Dunn's test
Consider correction for multiple comparisons (Bonferroni, Benjamini-Hochberg)
Correlation and Regression Analyses:
For examining relationships:
Pearson correlation (linear, parametric)
Spearman correlation (rank-based, non-parametric)
For predictive modeling:
Linear regression for continuous outcomes
Logistic regression for binary outcomes
Multiple regression for controlling confounding variables
Advanced Statistical Considerations:
Power analysis components:
Effect size estimation based on preliminary data or literature
Sample size calculation using G*Power or similar tools
Post-hoc power calculation for negative results interpretation
Statistical reporting standards:
Exact p-values rather than significance thresholds
Confidence intervals for effect size estimation
Standardized effect sizes (Cohen's d, η², etc.)
Specialized Analysis for Specific Applications:
For time-course experiments:
Repeated measures ANOVA or mixed-effects models
Area under curve (AUC) analysis
For survival or outcome data:
Kaplan-Meier analysis with log-rank test
Cox proportional hazards regression
Proper statistical analysis not only validates experimental findings but also enhances the biological interpretation of MPST expression patterns in different research contexts.
Resolving discrepancies in MPST antibody experiments requires systematic investigation and troubleshooting:
Validation Hierarchy:
Repeat experiments with additional controls
Use alternative antibodies targeting different MPST epitopes
Employ orthogonal techniques (e.g., mass spectrometry validation)
Implement genetic validation (overexpression, knockdown)
Transparent Reporting Practices:
Document and report all discrepancies
Present both confirming and contradicting data
Discuss potential biological explanations for discrepancies
Share troubleshooting insights with research community
This systematic approach to investigating discrepancies not only improves experimental reliability but often leads to new insights about MPST biology and methodology.
Recent technological advances have expanded MPST antibody applications beyond traditional techniques:
Advanced Imaging Platforms:
Super-resolution microscopy:
STORM/PALM techniques achieving 10-20nm resolution of MPST localization
Structured illumination microscopy for enhanced subcellular distribution analysis
Live-cell super-resolution for dynamic MPST trafficking studies
Multiplexed imaging:
Cyclic immunofluorescence (CycIF) allowing simultaneous detection of MPST with dozens of other proteins
Mass cytometry with metal-conjugated MPST antibodies
Hyperplexed imaging mass cytometry for tissue distribution studies
Single-Cell Analysis Applications:
Integration of MPST antibody in single-cell proteomics workflows
Spatial transcriptomics combined with MPST protein detection
Microfluidic antibody capture for rare cell MPST analysis
Proximity-Based Detection Systems:
Proximity ligation assays (PLA) for studying MPST protein interactions in situ
BioID or APEX2 proximity labeling combined with MPST antibody validation
FRET-based sensors incorporating MPST antibody fragments
Therapeutic and Diagnostic Applications:
High-Throughput Screening Platforms:
Antibody microarrays incorporating MPST detection
Automated immunoassay workstations for large-scale studies
Cell-painting assays with MPST antibody for phenotypic screening
These emerging technologies are expanding our understanding of MPST biology beyond its traditional role in detoxification, potentially revealing new functions in cellular metabolism and disease processes.
Advances in antibody design and engineering are enhancing MPST antibody performance for research applications:
Structural Optimization Approaches:
Format Diversification:
Affinity Maturation Technologies:
Display technologies (phage, yeast, mammalian) for selecting high-affinity MPST binders
Directed evolution approaches to optimize binding kinetics
Rational mutagenesis of CDR regions based on structural data
Signal Amplification Strategies:
Enzymatic amplification systems with reduced background
Quantum dot conjugation for enhanced photostability and brightness
Tyramide signal amplification optimization for low-abundance MPST detection
Performance Enhancement Modifications:
Modification Approach | Benefit for MPST Detection | Application Context |
---|---|---|
Humanization | Reduced background in human samples | Translational research |
Framework stabilization | Enhanced thermal stability | Challenging experimental conditions |
Site-specific conjugation | Preserved binding activity | Imaging and quantification |
Surface charge engineering | Reduced non-specific binding | Complex biological samples |
These engineering advances are creating a new generation of MPST antibodies with improved specificity, sensitivity, and versatility across diverse research applications, potentially enabling detection of previously unobservable MPST forms or interactions.
The field of MPST antibody research is poised for several significant developments:
Integration with Systems Biology Approaches:
Multi-omics integration combining MPST protein data with transcriptomics and metabolomics
Network analysis of MPST in hydrogen sulfide and reactive sulfur species signaling pathways
Computational modeling of MPST's role in cellular detoxification networks
Pathway analysis using antibody-based proteomics and metabolic profiling
Disease-Specific Applications:
Investigation of MPST dysregulation in neurodegenerative disorders associated with chromosome 22 genes
Exploration of potential roles in cancer metabolism and oxidative stress response
Analysis of MPST in rare metabolic disorders beyond mercaptolactate-cysteine disulfiduria
Evaluation as potential therapeutic target in cyanide toxicity scenarios
Novel Functional Discovery:
Characterization of non-canonical MPST functions beyond known enzymatic activities
Investigation of MPST in mitochondrial function and dynamics
Exploration of potential roles in cellular stress responses and adaptation
Assessment of MPST's contribution to redox signaling networks
Advanced Technological Integration:
Development of intrabodies targeting MPST for functional modulation in living cells
CRISPR-based genetic tagging combined with antibody detection for endogenous tracking
Organ-on-chip platforms for studying MPST function in tissue-specific contexts
Patient-derived organoids for personalized investigation of MPST in disease models
Therapeutic Development Potential:
Evaluation of MPST as biomarker for early disease detection using antibody-based diagnostics
Investigation of antibody-based targeting strategies for MPST-related disorders
Development of small molecule modulators of MPST function guided by antibody-based screening
Combination therapy approaches targeting MPST-related metabolic pathways
These emerging research directions highlight the expanding significance of MPST in cellular metabolism, detoxification, and disease processes, positioning MPST antibody as an increasingly valuable tool for both basic and translational research.