The Os01g0695600 antibody specifically recognizes the Putative D-cysteine desulfhydrase 2, mitochondrial (UniProt ID: B9EYZ1), encoded by the rice gene Os01g0695600. This enzyme, part of the lyase family (EC 4.4.1.15), catalyzes the degradation of D-cysteine to hydrogen sulfide, pyruvate, and ammonia .
| Product Code | Target Region | Antigen Description |
|---|---|---|
| X-B9EYZ1-N | N-terminus | 3 synthetic peptides |
| X-B9EYZ1-C | C-terminus | 3 synthetic peptides |
| X-B9EYZ1-M | Non-terminal | 3 synthetic peptides |
The full-length protein comprises 407 amino acids with a calculated molecular weight of ~76 kDa . Observed molecular weight in assays is ~73 kDa, suggesting post-translational modifications or cleavage .
Western Blot: Detects endogenous B9EYZ1 protein in rice lysates with high specificity .
ELISA: Exhibits a titer of 10,000, indicating strong antigen-binding affinity .
As highlighted in broader antibody research, ~50–75% of commercial antibodies fail validation in specific applications . For Os01g0695600, rigorous controls (e.g., knockout cell lines) are recommended to confirm specificity, though such data remain unpublished for this antibody .
The Os01g0695600 antibody exemplifies the growing need for rigorously validated reagents. Studies estimate that 12–20% of published antibodies fail to recognize their targets, underscoring the importance of third-party validation . Initiatives like the Observed Antibody Space (OAS) database aim to improve reproducibility by curating over 1 billion antibody sequences, though plant-specific antibodies remain underrepresented .
KEGG: osa:9270375
Os01g0695600 encodes a putative D-cysteine desulfhydrase 2, a mitochondrial protein in Oryza sativa subsp. japonica (Rice). This protein is significant because it plays a potential role in cysteine metabolism and mitochondrial function in rice. Understanding its expression and regulation can provide insights into rice metabolism, stress responses, and potentially impact agricultural research aimed at improving crop resilience . The protein has the UniProt accession number B9EYZ1 and is part of the ongoing characterization of the rice proteome that supports fundamental plant science research .
The Os01g0695600 antibody has been validated for Enzyme-Linked Immunosorbent Assay (ELISA) and Western Blot (WB) applications. These techniques allow researchers to detect and quantify the target protein in various experimental contexts . While these are the primary validated applications, researchers should conduct preliminary tests when adapting the antibody for other immunological techniques such as immunohistochemistry, immunoprecipitation, or flow cytometry, as cross-validation is an essential step in antibody-based research methodologies.
For optimal preservation of antibody activity, the Os01g0695600 antibody should be stored at -20°C or -80°C immediately upon receipt. Repeated freeze-thaw cycles significantly reduce antibody efficacy, so aliquoting the antibody into single-use volumes is recommended for long-term storage. The antibody is supplied in a storage buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative, which helps maintain stability . For working solutions, storage at 4°C for up to one week is typically acceptable, but validation of activity retention is advised for each laboratory's specific conditions.
When designing a Western blot protocol for the Os01g0695600 antibody, consider the following methodological approach:
Sample preparation: Extract proteins from rice tissues using a buffer containing protease inhibitors to prevent degradation.
Protein quantification: Use Bradford or BCA assay to ensure equal loading (15-30 μg total protein per lane).
Gel electrophoresis: Use 10-12% SDS-PAGE for optimal separation.
Transfer: Wet transfer to PVDF membrane (0.45 μm) at 100V for 60-90 minutes.
Blocking: 5% non-fat dry milk in TBST for 1 hour at room temperature.
Primary antibody: Dilute Os01g0695600 antibody 1:1000 to 1:2000 in blocking buffer; incubate overnight at 4°C.
Washing: 3 × 5 minutes with TBST.
Secondary antibody: Anti-rabbit HRP-conjugated at 1:5000 dilution for 1 hour at room temperature.
Detection: Use ECL substrate and image according to standard protocols.
This experimental design should be customized based on preliminary optimization experiments and specific tissue types being investigated .
Proper experimental controls are critical for ensuring the validity and reproducibility of findings with the Os01g0695600 antibody:
| Control Type | Description | Purpose |
|---|---|---|
| Positive Control | Rice tissue/cells known to express Os01g0695600 | Confirms antibody functionality |
| Negative Control | Non-rice sample or Os01g0695600 knockout tissue | Assesses non-specific binding |
| Loading Control | Housekeeping protein (e.g., GAPDH, β-actin) | Ensures equal protein loading |
| Secondary Antibody Control | Sample incubated with secondary antibody only | Detects non-specific binding of secondary antibody |
| Blocking Peptide Control | Co-incubation with immunizing peptide | Confirms antibody specificity |
These controls help distinguish between true signal and experimental artifacts, which is essential for rigorous scientific inquiry and proper data interpretation .
For quantitative ELISA analysis of Os01g0695600 protein, follow these optimization steps:
Coating optimization: Test different concentrations (0.5-10 μg/ml) of capture antibody to determine optimal coating conditions.
Sample preparation: Prepare consistent extraction protocols for tissue homogenates or cell lysates.
Standard curve: Generate a standard curve using recombinant Os01g0695600 protein at concentrations ranging from 0.1-1000 ng/ml.
Antibody titration: Perform checkerboard titration of primary (Os01g0695600) and detection antibodies to determine optimal working dilutions.
Blocking optimization: Test different blocking agents (BSA, milk, commercial blockers) to reduce background.
Substrate selection: Choose appropriate substrate based on required sensitivity (colorimetric vs. chemiluminescent).
Validation: Confirm specificity using knockout samples or competitive inhibition with immunizing peptide.
This systematic approach enables the development of a reproducible, sensitive, and specific quantitative assay .
To investigate protein-protein interactions involving Os01g0695600 in rice mitochondria, implement the following advanced methodological approach:
Co-immunoprecipitation (Co-IP):
Isolate intact mitochondria from rice tissue using differential centrifugation
Solubilize mitochondrial membranes with gentle detergents (0.5-1% NP-40 or digitonin)
Perform immunoprecipitation using Os01g0695600 antibody conjugated to protein A/G beads
Analyze co-precipitated proteins by mass spectrometry or Western blotting
Proximity labeling:
Generate constructs expressing Os01g0695600 fused to BioID or APEX2
Transform rice cells to express the fusion protein
Activate proximity labeling and purify biotinylated proteins
Identify interaction partners using proteomics approaches
Verification by reciprocal Co-IP:
Perform reverse Co-IP using antibodies against identified interaction partners
Confirm specific interactions through multiple technical and biological replicates
This multifaceted approach provides robust evidence of protein-protein interactions within the physiologically relevant mitochondrial environment .
For detailed subcellular localization studies of Os01g0695600, multiple complementary techniques should be employed:
Immunofluorescence microscopy:
Fix rice cells/tissues using 4% paraformaldehyde
Perform antigen retrieval if necessary
Block with 3-5% BSA in PBS-T
Incubate with Os01g0695600 antibody (1:100-1:500)
Counterstain with organelle-specific markers (MitoTracker for mitochondria)
Analyze using confocal microscopy
Cell fractionation and Western blotting:
Isolate subcellular fractions (cytosolic, mitochondrial, nuclear)
Confirm fraction purity using compartment-specific markers
Perform Western blot analysis with Os01g0695600 antibody
Quantify relative distribution across fractions
Immuno-electron microscopy:
Prepare ultrathin sections of rice tissues
Immunolabel with Os01g0695600 antibody and gold-conjugated secondary antibody
Analyze precise localization at ultrastructural level
To systematically evaluate Os01g0695600 protein expression under various stress conditions, implement this comprehensive approach:
Experimental design:
Select diverse stress treatments (drought, salinity, temperature, pathogen exposure)
Include appropriate time points (early, intermediate, late responses)
Maintain proper controls for each stress condition
Ensure sufficient biological replicates (minimum n=3)
Quantitative Western blot analysis:
Extract total protein from treated and control samples
Separate equal amounts of protein via SDS-PAGE
Transfer to membranes and probe with Os01g0695600 antibody
Use internal loading controls and reference standards
Quantify using densitometry software with statistical analysis
Validation by complementary techniques:
Correlate protein levels with mRNA expression via RT-qPCR
Assess functional activity if applicable
Confirm specificity with knockout/knockdown controls
This rigorous methodology enables reliable assessment of stress-induced changes in Os01g0695600 protein expression, contributing to understanding its role in stress response pathways .
When working with Os01g0695600 antibody in Western blot applications, researchers may encounter several technical challenges. This table outlines common issues and their methodological solutions:
| Issue | Possible Causes | Troubleshooting Approaches |
|---|---|---|
| No signal | - Insufficient protein loading - Protein degradation - Ineffective transfer - Antibody concentration too low | - Increase protein amount (30-50 μg) - Add fresh protease inhibitors - Verify transfer with Ponceau S staining - Increase antibody concentration (1:500) - Extend primary antibody incubation to overnight at 4°C |
| High background | - Insufficient blocking - Antibody concentration too high - Inadequate washing - Membrane overexposure | - Optimize blocking (5% BSA instead of milk) - Dilute antibody further (1:2000-1:5000) - Increase wash duration and frequency - Reduce exposure time during imaging |
| Multiple bands | - Cross-reactivity - Protein modification - Sample degradation - Splice variants | - Pre-absorb antibody with non-specific proteins - Use fresh samples with protease inhibitors - Include phosphatase inhibitors if phosphorylation is suspected - Verify with knockout/knockdown controls |
| Inconsistent results | - Batch-to-batch variation - Protocol inconsistencies - Sample preparation differences | - Use single antibody lot when possible - Standardize protocols with detailed SOPs - Prepare all samples identically - Include internal reference standards |
Systematic troubleshooting using this methodological framework helps resolve technical issues and ensures reproducible results .
Validating antibody specificity is crucial for reliable research outcomes. Implement these methodological approaches to confirm Os01g0695600 antibody specificity:
Genetic validation:
Test the antibody on samples from Os01g0695600 knockout/knockdown plants
Expected outcome: Reduced or absent signal in modified samples
Peptide competition assay:
Pre-incubate antibody with excess immunizing peptide (10-100x molar excess)
Apply to duplicate samples alongside non-competed antibody
Expected outcome: Signal reduction/elimination in competed samples
Orthogonal detection methods:
Compare protein detection with alternative antibodies targeting different epitopes
Correlate with mRNA expression data
Confirm size and location with tagged recombinant protein
Immunoprecipitation-Mass Spectrometry:
Perform IP with Os01g0695600 antibody
Analyze precipitated proteins by mass spectrometry
Expected outcome: Identification of Os01g0695600 as a major component
These comprehensive validation strategies ensure that experimental observations genuinely reflect Os01g0695600 biology rather than antibody artifacts .
Adapting the Os01g0695600 antibody for immunohistochemistry (IHC) in plant tissues requires specific methodological considerations:
Tissue fixation optimization:
Test multiple fixatives (4% paraformaldehyde, Carnoy's, FAA)
Optimize fixation duration (4-24 hours) to preserve antigenicity while maintaining structure
Evaluate cross-linking impact on epitope accessibility
Antigen retrieval methods:
Heat-induced epitope retrieval (citrate buffer pH 6.0 or Tris-EDTA pH 9.0)
Enzymatic retrieval (proteinase K, trypsin) with concentration and time optimization
Assess retrieval impact on tissue morphology vs. signal strength
Section preparation considerations:
Compare paraffin (5-7 μm) vs. cryo-sections (10-20 μm)
Evaluate whole-mount approaches for seedlings or thin tissues
Test vibratome sections (50-100 μm) for preserving 3D relationships
Signal amplification strategies:
Direct vs. indirect detection methods
Tyramide signal amplification for low-abundance targets
Fluorescent vs. chromogenic detection systems
Controls specific to plant IHC:
Autofluorescence quenching (0.1% Sudan Black B, 0.1M NH₄Cl)
Cell wall penetration enhancement (mild enzymatic digestion)
Endogenous peroxidase quenching (3% H₂O₂)
This systematic optimization approach addresses the unique challenges of plant tissue IHC, enabling successful visualization of Os01g0695600 in its native cellular context .
For rigorous quantitative analysis of Os01g0695600 protein expression using Western blot data, implement this methodological framework:
Image acquisition parameters:
Capture images within the linear dynamic range of detection
Avoid pixel saturation that compromises quantification
Use consistent exposure settings across comparative experiments
Normalization approach:
Normalize Os01g0695600 signal to appropriate loading controls (GAPDH, β-actin, total protein)
Calculate relative expression as ratio of normalized target to reference sample
Include internal calibration standards when comparing across multiple blots
Statistical analysis workflow:
Perform densitometry using validated software (ImageJ, Image Studio)
Calculate mean and standard deviation/SEM from at least three biological replicates
Apply appropriate statistical tests based on experimental design (t-test, ANOVA)
Set significance threshold (typically p<0.05) for concluding expression differences
Data visualization best practices:
Present representative blot images alongside quantification
Use bar graphs with error bars for quantitative comparisons
Include all data points for transparency (dot plots overlaid on bars)
Clearly indicate sample size and statistical significance
This comprehensive approach ensures scientifically sound quantification and interpretation of Os01g0695600 protein expression data .
When facing discrepancies between Os01g0695600 protein levels (detected via antibody) and mRNA expression, these methodological approaches can help resolve contradictions:
Technical validation:
Confirm antibody specificity using methods outlined in FAQ 4.2
Validate RNA integrity and primer specificity for RT-qPCR
Ensure both protein and RNA were extracted from identical samples
Temporal considerations:
Implement time-course studies to detect potential delays between transcription and translation
Sample at multiple time points following treatment/stimulus
Analyze protein half-life using cycloheximide chase experiments
Post-transcriptional regulation assessment:
Investigate microRNA regulation of Os01g0695600 mRNA
Analyze mRNA stability using actinomycin D treatment
Assess translational efficiency through polysome profiling
Post-translational modification analysis:
Examine protein stability and turnover rates
Investigate ubiquitination status
Assess potential proteolytic processing
Subcellular localization changes:
Determine if protein redistribution rather than expression changes occur
Analyze fraction-specific expression patterns
Investigate potential sequestration mechanisms
This systematic investigation framework helps reconcile apparent contradictions, potentially revealing important regulatory mechanisms governing Os01g0695600 expression that operate beyond transcriptional control .
To achieve holistic understanding of Os01g0695600 function, integrate antibody-based protein data with complementary omics approaches using this methodological framework:
Multi-omics data collection:
Proteomics: IP-MS to identify interaction partners
Transcriptomics: RNA-seq of wild-type vs. Os01g0695600 mutants
Metabolomics: Targeted analysis of cysteine metabolism intermediates
Phenomics: Systematic phenotyping of plants with altered Os01g0695600 levels
Data integration strategies:
Correlation analysis between protein abundance and transcript levels
Pathway enrichment analysis incorporating protein interaction data
Network analysis to identify regulatory hubs and connections
Machine learning approaches to identify predictive patterns
Validation of integrated insights:
Generate testable hypotheses from integrated analysis
Design targeted experiments to verify predicted relationships
Implement CRISPR-based genome editing to confirm functional relationships
Data visualization for integrated analysis:
Create multi-dimensional visualizations showing relationships across datasets
Develop network diagrams highlighting Os01g0695600 connections
Use heat maps to illustrate coordinated responses across conditions
This comprehensive integration approach leverages the specificity of antibody-based detection while placing findings in the broader context of cellular systems, enabling deeper understanding of Os01g0695600's biological role .