The At1g64840 protein is implicated in Arabidopsis immune responses, particularly in defense against powdery mildew pathogens. Key studies include:
Role in Plant Immunity: At1g64840 interacts with defense regulators such as ENHANCED DISEASE SUSCEPTIBILITY 1 (EDS1), PHYTOALEXIN DEFICIENT 4 (PAD4), and SENESCENCE-ASSOCIATED GENE 101 (SAG101), which are critical for salicylic acid (SA)-mediated resistance pathways .
Genetic Interactions: Mutational analyses revealed that At1g64840 contributes to basal immunity, with knockout plants showing compromised resistance to fungal pathogens .
Protein Localization: Western blot studies using this antibody have helped characterize the expression patterns of At1g64840 under stress conditions, though specific subcellular localization data remain limited .
While the At1g64840 antibody has been used in Arabidopsis research, broader lessons from antibody validation studies highlight critical considerations:
Specificity Challenges: Independent validation is essential, as commercially available antibodies for related targets (e.g., angiotensin receptors) have demonstrated cross-reactivity or nonspecific binding in mammalian systems .
Recommended Controls: Include knockout plant lines (e.g., AT1G64840 mutants) in Western blot and immunohistochemistry experiments to confirm target specificity.
Functional Assays: Pair antibody-based detection with phenotypic analyses (e.g., pathogen susceptibility assays) to verify biological relevance .
Structural Characterization: Resolve the tertiary structure of At1g64840 to define its interaction domains.
Pathogen Interaction Studies: Investigate how At1g64840 modulates effector-triggered immunity in Arabidopsis.
Cross-Species Reactivity: Test homologs in crop plants (e.g., Brassica species) for conserved immune functions.
The At1g64840 antibody is primarily used in plant biology research, particularly for studying gene function in Arabidopsis thaliana. Below are curated FAQs addressing key methodological considerations for academic researchers, organized by complexity level.
Methodological Audit:
Adopt optimal decision theory to minimize false positives/negatives:
Define likelihood ratios for signal thresholds using ROC curves.
Incorporate prevalence-adjusted Bayesian models to refine cutoffs .
CDR Mapping: Apply modified Chothia numbering to identify hypervariable regions .
Molecular Dynamics: Simulate binding free energy () using AMBER or GROMACS.
Pre-Treatment Optimization:
Antigen retrieval: Citrate buffer (pH 6.0) at 95°C for 20 min.
Blocking: 5% BSA + 0.1% Tween-20 for 1 hr.
| Parameter | Polyclonal | Monoclonal |
|---|---|---|
| Epitope Diversity | Broad | Single |
| Batch Consistency | Low | High |
| Recommended Use | Native conformation studies | Quantitative assays |