The At4g10603 antibody (product code CSB-PA652767XA01DOA) is a commercially available reagent designed for detecting the At4g10603 protein, encoded by the gene locus AT4G10603 in Arabidopsis thaliana. This antibody falls under the category of plant-specific immunoglobulins, which are critical for studying gene expression, protein localization, and molecular mechanisms in plant systems .
While direct studies on At4g10603 are not explicitly detailed in the provided sources, its homologs and related antibodies in Arabidopsis research suggest potential roles:
Protein Localization: Similar antibodies (e.g., anti-EaF82 in Arabidopsis) are used to study subcellular protein distribution via immunoblotting or fluorescence microscopy .
Gene Knockout Validation: Antibodies like anti-AKIN10 assist in confirming protein absence in mutant lines .
The At4g10603 antibody shares technical features with other Arabidopsis antibodies, such as:
Glycosylation: Like all immunoglobulins, it likely contains Fc-region glycans influencing effector functions .
Species Specificity: Targets Arabidopsis proteins exclusively, minimizing cross-reactivity .
Uncharacterized Epitope: The exact binding epitope of At4g10603 antibody remains unverified in peer-reviewed studies.
Validation Gaps: Independent validation data (e.g., knockout controls) are absent in available sources.
Epitope Mapping to define binding specificity.
Phenotypic Studies linking At4g10603 protein function to traits like stress response or development.
KEGG: ath:AT4G10603
STRING: 3702.AT4G10603.1
At4g10603 encodes an S locus-related glycoprotein 1 (SLR1) binding pollen coat protein in Arabidopsis thaliana . This protein belongs to a family involved in plant reproductive biology, particularly in pollen-stigma recognition and fertilization processes. Antibodies against At4g10603 are valuable research tools because they enable:
Visualization of protein expression patterns in different tissues
Determination of subcellular localization
Quantification of protein levels under different conditions
Analysis of protein-protein interactions
Investigation of post-translational modifications
These applications make At4g10603 antibodies essential for understanding plant reproductive mechanisms at the molecular level.
At4g10603 antibodies can be generated through several complementary approaches:
| Method | Advantages | Limitations | Applications |
|---|---|---|---|
| Recombinant protein immunization | Full protein coverage | Potential cross-reactivity | Western blot, IP, IHC |
| Synthetic peptide approach | Epitope-specific | Limited to linear epitopes | Western blot, ELISA |
| Phage display technology | No animal immunization required | Technical complexity | All applications |
| Monoclonal antibody production | High specificity | Resource intensive | Precision applications |
Phage display is particularly effective, allowing for in vitro selection of antibodies with high specificity from antibody libraries constructed by PCR amplification of variable heavy (VH) and variable light (VL) chains . This technique can produce antibodies with carefully selected properties for specific experimental applications.
Thorough validation of At4g10603 antibodies is critical before experimental use. Essential validation steps include:
Western blot analysis using:
Positive control (tissue known to express At4g10603)
Negative control (At4g10603 knockout line)
Recombinant At4g10603 protein as reference
Immunoprecipitation specificity testing:
Mass spectrometry confirmation of pulled-down proteins
Comparison with control IgG precipitation
Immunohistochemistry controls:
Competing peptide blocking
Secondary antibody-only controls
Tissue-specific expression pattern verification
These validation steps ensure experimental results are truly reflective of At4g10603 biology rather than antibody artifacts.
For optimal Western blot detection of At4g10603, the following protocol parameters are recommended:
Sample preparation:
Gel electrophoresis:
Load 20-30 μg total protein per lane
Use 12% SDS-PAGE for optimal separation
Transfer conditions:
Transfer to PVDF membrane at 30V overnight at 4°C
This gentle transfer improves detection of glycoproteins like At4g10603
Blocking and antibody incubation:
Detection:
This optimized protocol accounts for the specific characteristics of plant proteins and provides reliable detection of At4g10603.
Co-immunoprecipitation (Co-IP) with At4g10603 antibody requires specific optimization for plant tissues. The following protocol yields consistent results:
Tissue selection and preparation:
Extract clarification:
Centrifuge at 15,000×g for 10 minutes at 4°C
Pass supernatant through a 0.45 μm filter
Pre-clearing step (critical):
Immunoprecipitation:
Washing and elution:
Analysis:
Separate by SDS-PAGE
Identify interacting proteins by immunoblotting or mass spectrometry
This method has been adapted from successful co-IP protocols used for other plant proteins and optimized for At4g10603.
For optimal immunohistochemistry results with At4g10603 antibody in plant reproductive tissues, the following protocol is recommended:
Tissue fixation and embedding:
Fix fresh tissue in 4% paraformaldehyde in PBS (pH 7.4) for 12 hours at 4°C
Dehydrate through ethanol series (30%, 50%, 70%, 85%, 95%, 100%)
Clear with xylene and embed in paraffin
Section at 8 μm thickness
Antigen retrieval (critical step):
Deparaffinize sections with xylene
Rehydrate through decreasing ethanol series
Heat in 10 mM sodium citrate buffer (pH 6.0) at 95°C for 15 minutes
Cool gradually to room temperature
Blocking and antibody incubation:
Block with 5% normal goat serum, 1% BSA in PBS with 0.1% Triton X-100 for 2 hours
Incubate with At4g10603 antibody (1:100 dilution) overnight at 4°C
Wash 3× with PBS (10 minutes each)
Incubate with fluorescent secondary antibody (1:500) for 1 hour at room temperature
Counterstaining and mounting:
Counterstain nuclei with DAPI (1 μg/mL) for 5 minutes
Mount in anti-fade medium
Seal with nail polish for long-term storage
This protocol accounts for the specific challenges of plant tissues, particularly the cell wall and cuticle barriers that can impede antibody penetration.
At4g10603 antibody enables several complementary approaches for studying protein-protein interactions in plant reproductive biology:
Co-immunoprecipitation followed by mass spectrometry:
Proximity ligation assay (PLA):
Detect protein interactions in situ with submicrometer resolution
Requires primary antibodies from different species against At4g10603 and potential interactors
Generates fluorescent signal only when proteins are in close proximity (<40 nm)
FRET analysis with antibody fragments:
Label antibody fragments with appropriate FRET donor/acceptor pairs
Monitor real-time interactions in living cells
Calculate FRET efficiency to quantify interaction strength
Validation through yeast two-hybrid:
These complementary approaches provide robust evidence for biologically relevant interactions involving At4g10603 protein.
At4g10603 antibody provides valuable tools for investigating self-incompatibility mechanisms in Arabidopsis and related species:
Comparative localization studies:
Track At4g10603 localization during compatible versus incompatible pollinations
Quantify protein redistribution following pollination
Correlate localization patterns with pollen hydration and germination
Phosphorylation state analysis:
Protein complex dynamics:
Use At4g10603 antibody to isolate protein complexes at different stages of pollination
Identify temporal changes in interaction partners
Map the signaling cascade initiated during self-recognition
Functional blocking studies:
Apply At4g10603 antibody fragments to stigmas before pollination
Assess effects on pollen recognition and acceptance
Identify specific domains critical for self/non-self discrimination
These approaches contribute to our understanding of the molecular mechanisms underlying self-incompatibility, with potential applications in plant breeding and reproductive biology.
At4g10603 antibody serves as a critical tool for analyzing CRISPR-edited plant lines, providing molecular validation of editing outcomes and functional insights:
Validation of gene editing:
Confirm protein knockout in CRISPR deletion lines
Detect truncated proteins in frameshift mutants
Quantify protein reduction in knockdown lines
Domain function analysis:
Create CRISPR lines with specific domain deletions
Use At4g10603 antibody to confirm expression of truncated proteins
Correlate domain presence with protein function and localization
Tagged variant analysis:
Generate CRISPR knock-in lines with epitope tags
Compare detection using At4g10603 antibody versus tag antibodies
Assess whether tagging affects protein function or localization
Rescue experiment verification:
Complement knockout lines with modified At4g10603 variants
Use antibody to confirm expression levels of complemented constructs
Correlate protein levels with phenotypic rescue
This integration of CRISPR technology with antibody-based detection provides powerful insights into At4g10603 structure-function relationships.
Multiple bands in At4g10603 immunoblots can arise from several sources, each requiring specific troubleshooting approaches:
Post-translational modifications:
Glycosylation heterogeneity (common in plant glycoproteins)
Phosphorylation states
Solution: Treat samples with appropriate deglycosylation enzymes or phosphatases before SDS-PAGE
Alternative splice variants:
At4g10603 may have splice variants with different molecular weights
Solution: Compare with RNA-seq data on splice variant expression
Validation: Design epitope-specific antibodies to distinguish variants
Proteolytic degradation:
Incomplete protease inhibition during extraction
Solution: Use stronger protease inhibitor cocktails
Prevention: Maintain strict cold-chain during sample preparation
Cross-reactivity with related proteins:
At4g10603 belongs to a protein family with similar sequences
Solution: Pre-absorb antibody with recombinant related proteins
Alternative: Generate peptide antibodies against unique regions
Non-specific binding:
Secondary antibody binding to endogenous plant proteins
Solution: Test different blocking reagents (5% milk, 2% BSA, commercial blockers)
Control: Include secondary antibody-only control
Systematic investigation of these possibilities will determine whether multiple bands represent biologically relevant forms or technical artifacts.
Weak or absent signals when using At4g10603 antibody can be addressed through systematic troubleshooting:
Sample preparation optimization:
Ensure tissue selection targets sites of At4g10603 expression (pollen, anthers)
Optimize protein extraction buffer components
Concentrate proteins if expression levels are low
Protein transfer efficiency:
Verify transfer success using reversible stains (Ponceau S)
Consider extended or modified transfer conditions for glycoproteins
Try different membrane types (PVDF often superior for plant proteins)
Antibody conditions:
Test concentration range (1:100 to 1:2000)
Extend primary antibody incubation (overnight at 4°C)
Try different secondary antibodies with higher sensitivity
Detection system sensitivity:
Switch to more sensitive ECL substrates
Consider signal amplification systems
Increase exposure time for film detection
Protein expression timing:
At4g10603 expression may be developmental stage-specific
Verify developmental timing of collected tissues
Consider circadian or environmental factors affecting expression
This systematic approach identifies and addresses the specific limiting factor in At4g10603 detection.
Distinguishing specific from non-specific signals is critical for reliable At4g10603 research. The following approaches provide definitive differentiation:
Genetic controls:
Compare wild-type to At4g10603 knockout line
True specific signal should be absent in knockout tissue
Persistent bands in knockout samples represent non-specific binding
Peptide competition:
Pre-incubate antibody with excess immunizing peptide or recombinant protein
Specific signals should be blocked
Persistent signals despite blocking indicate non-specificity
Multiple antibody validation:
Test antibodies raised against different epitopes of At4g10603
Specific signals should be detected by multiple antibodies
Signals detected by only one antibody warrant careful verification
Correlation with expression data:
Compare antibody signal intensity with RNA expression patterns
Tissue-specific expression should correlate with protein detection
Discrepancies suggest potential non-specific binding
Size validation:
Compare detected band size with predicted molecular weight
Account for post-translational modifications
Unexplained size discrepancies suggest non-specific detection
These validation approaches should be applied systematically to ensure experimental findings truly reflect At4g10603 biology.
At4g10603 antibody can be adapted for super-resolution microscopy applications, providing nanoscale insights into protein distribution and interactions:
Sample preparation considerations:
Fix tissues with aldehydes optimized for structure preservation
Use thin sections (5-8 μm) to minimize out-of-focus background
Consider tissue clearing techniques to improve signal-to-noise ratio
Antibody modifications for STORM/PALM:
Directly conjugate At4g10603 antibody with photoswitchable fluorophores
Alternatively, use secondary antibodies labeled with appropriate dyes
Test F(ab')2 fragments for improved epitope access and reduced displacement
Multi-color super-resolution imaging:
Combine At4g10603 detection with markers for subcellular structures
Use spectrally distinct fluorophores with minimal bleed-through
Include fiducial markers for drift correction and channel alignment
Data acquisition parameters:
Optimize laser power to balance photoswitching and photobleaching
Collect 10,000-30,000 frames for comprehensive sampling
Use appropriate buffer systems to sustain fluorophore blinking
Analysis approaches:
Cluster analysis to quantify protein organization patterns
Co-localization analysis at nanometer precision
3D reconstruction to map protein distribution in cellular context
This cutting-edge approach reveals At4g10603 distribution at 10-25 nm resolution, far beyond the diffraction limit of conventional microscopy.
At4g10603 antibody can be a valuable tool for evolutionary studies of pollen coat proteins across plant species:
Cross-species reactivity testing:
Perform Western blots on protein extracts from related plant species
Test immunohistochemistry on pollen from diverse Brassicaceae
Create reactivity profile to map epitope conservation
Epitope conservation analysis:
Correlate antibody reactivity with sequence conservation
Identify conserved functional domains versus divergent regions
Generate species-specific antibodies against divergent regions
Functional conservation studies:
Compare subcellular localization patterns across species
Assess protein-protein interactions in different species
Correlate structural conservation with functional conservation
Evolutionary adaptation investigation:
Compare At4g10603 expression and localization in self-compatible versus self-incompatible species
Examine protein modifications specific to particular evolutionary lineages
Link molecular changes to reproductive strategy shifts
This evolutionary perspective provides insights into the selective pressures shaping reproductive proteins and their specialized functions across plant taxa.
At4g10603 antibody enables nuanced investigation of how environmental stress affects plant reproductive mechanisms:
Stress-induced expression changes:
Compare At4g10603 protein levels under various stress conditions
Create quantitative protein expression profiles using calibrated Western blotting
Correlate protein changes with reproductive success metrics
Subcellular redistribution analysis:
Use immunohistochemistry to track protein localization under stress
Quantify changes in membrane association versus cytoplasmic distribution
Identify stress-specific localization patterns
Post-translational modification shifts:
Develop modification-specific antibodies (phospho-specific, etc.)
Monitor modification states under different stress conditions
Link modifications to protein function or stability changes
Stress-induced interaction network changes:
These approaches reveal how reproductive proteins respond to environmental challenges, providing insights into plant adaptation mechanisms and potentially informing breeding strategies for climate resilience.