Gene ID: At1g32780 encodes a protein with UniProt accession A1L4Y2, though its precise biochemical function remains uncharacterized in the provided sources .
Genomic Context:
Commercial Source: Produced by Cusabio as a custom antibody .
Immunogen: Likely a synthetic peptide derived from the At1g32780 protein sequence (exact epitope undisclosed).
Validation:
While direct studies using this antibody are not cited in the provided materials, potential applications include:
Localization Studies: Cytoplasmic tracking of At1g32780 protein in Arabidopsis tissues .
Functional Analysis: Investigating roles in stress responses, growth, or metabolic pathways, inferred from homologous plant proteins.
Protein-Protein Interaction Studies: Supported by its inclusion in the STRING database .
Specificity Concerns: As highlighted in studies on other plant antibodies (e.g., AT1 receptor antibodies ), rigorous validation is critical to confirm target specificity.
Lack of Peer-Reviewed Data: No published studies using this antibody were identified in the provided sources, limiting interpretability of its efficacy.
| Vendor | Cusabio |
|---|---|
| Catalog Page | CSB-PA375946XA01DOA |
| Contact | +1 301-363-4651 (CST business hours) |
Functional Characterization: Link At1g32780 to specific pathways using knockout mutants and antibody-based assays.
Comparative Studies: Cross-react with orthologs in other plant species to infer evolutionary conservation.
Technical Optimization: Publish validation protocols (e.g., Western blot bands, immunofluorescence images) to establish reliability.
At1g32780 is a gene locus in Arabidopsis thaliana that encodes a protein with UniProt accession number A1L4Y2. Researchers develop antibodies against this protein to investigate its expression patterns, subcellular localization, protein-protein interactions, and functional roles in plant cellular processes. The antibody enables visualization and quantification of the protein under various experimental conditions, helping elucidate its role in plant development, stress responses, or metabolic pathways.
The At1g32780 Antibody (CSB-PA375946XA01DOA) is specifically developed for detecting proteins in Arabidopsis thaliana (Mouse-ear cress) . Cross-reactivity with homologous proteins in other plant species depends on epitope conservation and must be experimentally validated. When considering use with related species, preliminary testing is essential to confirm reactivity and specificity.
| Species | Reactivity | Notes |
|---|---|---|
| Arabidopsis thaliana | Confirmed | Primary target species |
| Other Brassicaceae | Possible | Requires validation |
| Non-Brassicaceae plants | Unknown | Requires extensive validation |
When conducting experiments with At1g32780 Antibody, the following controls are essential for result validation:
Positive control: Samples known to express At1g32780 protein
Negative control: Samples lacking At1g32780 expression (knockout/knockdown lines)
Secondary antibody-only control: To assess non-specific binding
Blocking peptide control: Pre-incubation with immunizing peptide to confirm specificity
Loading control: For Western blots to normalize protein amounts (e.g., actin or tubulin)
Tissue background control: For immunolocalization to assess autofluorescence in plant tissues
These controls help distinguish specific signals from background noise and validate antibody specificity, particularly important when working with plant tissues that may contain compounds interfering with detection methods.
Validating antibody specificity is crucial for reliable experimental outcomes. For At1g32780 Antibody, consider these approaches:
Western blot analysis showing a single band of expected molecular weight
Comparative analysis between wild-type plants and At1g32780 knockout mutants
Pre-adsorption experiments with the immunizing peptide
Mass spectrometry analysis of immunoprecipitated proteins
Correlation of protein detection with mRNA expression data
Multiple antibodies targeting different epitopes of the same protein
Similar validation approaches have been successfully employed for other plant antibodies and receptor-targeted antibodies in different experimental systems .
Effective sample preparation is crucial for successful antibody-based detection:
For protein extraction from Arabidopsis tissues:
Grind tissue in liquid nitrogen to fine powder
Extract in buffer containing appropriate protease inhibitors
Consider adding phosphatase inhibitors if studying phosphorylation states
Filter or centrifuge lysates to remove debris
Determine optimal protein concentration for specific applications
For fixed tissues in immunohistochemistry:
Optimize fixation conditions (typically 4% paraformaldehyde)
Use gentle permeabilization methods that preserve epitope accessibility
Consider antigen retrieval steps if necessary
Block with appropriate agents to minimize non-specific binding
These methods should be optimized specifically for At1g32780 detection, as extraction efficiency may vary based on protein properties and subcellular localization.
Optimizing experimental conditions improves detection sensitivity and specificity:
| Technique | Recommended Conditions | Notes |
|---|---|---|
| Western Blotting | Protein: 20-50 μg/lane Dilution: 1:1000-1:2000 Blocking: 5% milk or BSA Incubation: Overnight at 4°C | Optimize transfer conditions for plant proteins |
| Immunoprecipitation | 1-5 μg antibody per 500 μg protein Pre-clear lysates Incubate overnight at 4°C | Include detergent screening to optimize extraction |
| Immunofluorescence | Fixation: 4% paraformaldehyde Permeabilization: 0.1-0.5% Triton X-100 Dilution: 1:100-1:500 | Address plant autofluorescence issues |
| ELISA | Coating: 1-10 μg/ml protein Antibody: 0.1-1 μg/ml Develop: TMB substrate | Validate with positive and negative controls |
These parameters should be empirically determined for each experimental system, as optimal conditions may vary based on tissue type, protein abundance, and extraction method.
Proper storage and handling maintain antibody functionality:
Store at -20°C for long-term storage
For working solutions, store at 4°C for up to one month
Avoid repeated freeze-thaw cycles (aliquot upon receipt)
Centrifuge the vial before opening to ensure recovery of all material
Avoid exposure to extreme pH, detergents, and proteases
Store in appropriate buffer conditions with stabilizers
Consider adding preservatives for long-term storage of working dilutions
Following these guidelines helps maintain antibody binding efficiency and experimental reproducibility.
Understanding potential cross-reactivity is essential for accurate data interpretation:
Evaluate cross-reactivity with closely related protein family members
Test specificity in tissues with varying expression levels
Validate in transgenic lines overexpressing the protein
Compare binding patterns with knockout/knockdown mutants
Consider cross-reactivity with post-translationally modified forms
Test across developmental stages where protein expression varies
Similar considerations have been crucial in studies with anti-AT1R antibodies, where specificity validation was essential for accurate interpretation of clinical and research findings .
Protein phosphorylation can significantly impact antibody binding through:
Epitope masking if phosphorylation sites are within the antibody binding region
Conformational changes that alter epitope accessibility
Changes in protein-protein interactions that might sequester the protein
To address phosphorylation-dependent binding:
Use phosphatase inhibitors during sample preparation
Compare samples treated with and without phosphatases
Consider developing phosphospecific antibodies if phosphorylation sites are known
Employ 2D gel electrophoresis to separate phosphorylated isoforms
This approach has been successful in studying functionally active antibodies to receptor proteins in other experimental systems, as demonstrated in luminometric assays of receptor function .
At1g32780 Antibody can be employed in multiple interaction analysis techniques:
Co-immunoprecipitation (Co-IP): Immunoprecipitate At1g32780 and identify co-precipitating proteins via Western blot or mass spectrometry
Proximity ligation assay (PLA): Detect protein interactions in situ with high specificity
Immunofluorescence co-localization: Identify potential interacting partners through spatial correlation
Pull-down assays: Use immobilized antibody to capture protein complexes
ChIP-based approaches: If At1g32780 associates with DNA-binding proteins
These methods provide complementary data on protein interactions and should be combined for comprehensive interaction mapping.
Environmental stresses may impact protein detection through:
Altered protein expression levels
Stress-induced post-translational modifications
Changes in protein localization or complex formation
Potential degradation or cleavage products
Methodological considerations include:
Compare protein levels across different stress conditions
Include appropriate stress-responsive control proteins
Design time-course experiments to capture dynamic changes
Implement quantitative approaches like ELISA or quantitative Western blotting
Correlate protein data with transcriptomic responses under similar conditions
This approach is similar to studies examining anti-AT1R autoantibodies in response to stress conditions, where protein modification and expression changes were carefully monitored .
When working with transgenic Arabidopsis:
Verify antibody recognition of modified/tagged proteins
Consider epitope masking by fusion tags
Use wild-type controls alongside transgenic lines
Validate expression levels compared to endogenous protein
For overexpression studies, be aware of dose-dependent artifacts
For knockdown/knockout lines, confirm absence of the protein
For tissue-specific expression, validate specificity of detection
Consider background line effects (Col-0 vs. other ecotypes)
Transgenic systems require careful validation to ensure that antibody detection reflects true biological states rather than artifacts of the experimental system.
When facing inconsistent results, consider:
| Issue | Potential Causes | Troubleshooting Approaches |
|---|---|---|
| No signal | Protein degradation Insufficient protein Ineffective antibody | Fresh sample preparation Increase protein concentration Optimize antibody concentration |
| Multiple bands | Cross-reactivity Protein degradation Post-translational modifications | Increase blocking Add protease inhibitors Use additional validation methods |
| High background | Insufficient blocking Secondary antibody issues Non-specific binding | Optimize blocking conditions Reduce antibody concentration Add blocking peptide |
| Variable results | Sample preparation differences Environmental variations Plant developmental stage | Standardize protocols Control growth conditions Use age-matched samples |
Systematic troubleshooting helps identify the source of variability and improves experimental reproducibility.
Integrative approaches enhance functional insights:
Combine immunodetection with RNA expression analysis
Correlate protein localization with phenotypic studies
Use antibodies to validate results from interactome studies
Incorporate antibody detection in genetic screens
Combine ChIP-seq (if DNA-binding) with transcriptome analysis
Use the antibody for protein purification followed by activity assays
Monitor protein levels in response to chemical inhibitors or activators
When conducting localization studies, be aware of these limitations:
Fixation and permeabilization may alter protein localization
Plant cell walls and vacuoles create challenges for antibody penetration
Chlorophyll and other plant compounds cause background fluorescence
Overexpression systems might cause artificial localization patterns
The antibody may not recognize all isoforms or modified forms
Epitope masking in certain protein complexes or conformations
To address these limitations:
Optimize fixation and permeabilization conditions
Use appropriate controls including fluorescent protein fusions
Employ confocal microscopy with spectral unmixing
Consider super-resolution microscopy for detailed localization
Validate findings with multiple approaches
These considerations help ensure that localization data accurately reflects the biological reality of At1g32780 protein distribution.
The field of plant antibody development continues to advance through:
Development of recombinant antibody fragments for improved tissue penetration
Creation of multiplex detection systems for simultaneous protein analysis
Integration with emerging imaging technologies
Application of machine learning for improved image analysis
Development of quantitative immunoassays specifically optimized for plant tissues
These advances will enhance the utility of antibodies like At1g32780 Antibody in plant research and expand their applications in functional genomics.
Emerging applications include:
Single-cell protein analysis in plant tissues
Monitoring dynamic protein changes during development
High-throughput phenotyping platforms incorporating antibody-based detection
Integration with CRISPR-based genome editing for functional validation
Protein interaction network mapping under varying environmental conditions
These applications represent the cutting edge of plant molecular biology research and demonstrate the continuing value of well-validated antibody reagents in advancing our understanding of plant biology.