The At4g26790 gene product is implicated in plant defense mechanisms. Studies show its involvement in:
Pathogen Response: At4g26790 expression correlates with resistance to Acidovorax olearius DQS-4T in Arabidopsis genotypes .
Temperature Sensitivity: Downregulation of At4g26790 occurs in temperature-shift experiments (28°C to 19°C), suggesting roles in thermal stress adaptation .
The At4g26790 antibody enables detection and quantification of the encoded protein. Key applications include:
Expression Profiling: RT-qPCR and antibody-based assays reveal genotype-specific expression patterns during microbial inoculation .
Stress Response Studies: The antibody identifies protein-level changes under environmental stressors, such as temperature fluctuations .
| Genotype | Expression Level (Relative to Control) |
|---|---|
| Col-0 (Non-responsive) | No significant change |
| Ws (Responsive) | 4.2-fold increase |
| Lis-1 (Negative) | No expression detected |
| Condition | Fold Downregulation |
|---|---|
| 0 h vs. 4 h (28°C→19°C) | 2.5× |
| 0 h vs. 8 h (28°C→19°C) | 3.9× |
Specificity: The antibody’s utility depends on validated epitope recognition, particularly for distinguishing isoforms within the GDSL-like lipase family .
Limitations: Cross-reactivity with homologous proteins (e.g., At4G26790 paralogs) requires rigorous validation via Western blotting or immunoprecipitation .
At4g26790 is an Arabidopsis thaliana gene encoding a specific protein that is part of the Arabidopsis genome. While not explicitly characterized in the provided search results, this gene follows the standard Arabidopsis Genome Initiative (AGI) nomenclature where "At" signifies Arabidopsis thaliana, "4" indicates chromosome 4, and "g26790" represents the specific gene locus . Understanding the function and expression patterns of this protein requires specific antibodies for detection and localization studies in plant tissues.
Antibodies against Arabidopsis proteins can be generated using two primary approaches: the peptide-based approach or the recombinant protein approach. The recombinant protein approach has shown a significantly higher success rate, with approximately 55% of antibodies detecting signals with high confidence compared to the lower success rate of peptide antibodies . For generating antibodies, researchers identify potential antigenic regions through bioinformatic analysis, check for cross-reactivity using tools like blastX (with a cutoff of 40% similarity score), and then express and purify the recombinant protein fragment for immunization .
Antibodies against Arabidopsis proteins like At4g26790 are valuable tools for:
Protein localization at subcellular, cellular, and tissue levels
Understanding protein function and role in cell dynamics
Investigating protein-protein interactions
Studying protein regulatory networks
Western blot analysis for protein expression levels
Immunocytochemistry for spatial distribution analysis
Validation of mutant lines
Validation of plant antibodies typically follows these approaches:
Dot blot assays against the recombinant protein (can detect target proteins in the picogram range)
Western blot analysis against wild-type and corresponding mutant backgrounds
In situ immunolocalization to confirm subcellular distribution patterns
Testing antibody specificity using knockout/knockdown lines
Cross-validation with tagged versions of the protein (e.g., GFP fusions)
When using antibodies against specific Arabidopsis proteins, researchers should:
Examine sequence similarity with related proteins (maintaining < 40% sequence similarity is recommended)
For multi-gene families where obtaining a unique sequence region is challenging, consider raising a family-specific antibody instead
Test antibody specificity in the corresponding mutant backgrounds
Consider potential post-translational modifications that might affect epitope recognition
Validate cross-reactivity experimentally through western blotting and immunolocalization
Antibodies to proteins like At4g26790 can be utilized in several advanced approaches for protein-protein interaction studies:
Co-immunoprecipitation (Co-IP) to pull down interacting protein complexes
Chromatin immunoprecipitation (ChIP) if the protein has DNA-binding properties
Proximity-dependent biotin identification (BioID) combined with antibody detection
Förster resonance energy transfer (FRET) microscopy using fluorescently labeled secondary antibodies
Integration with systems biology approaches to map interaction networks
For gene families, achieving antibody specificity requires careful consideration:
Analysis of sequence alignments to identify unique regions among family members
When 100% specificity isn't possible, researchers can use "sliding window" approaches to find regions with minimal similarity
Verification of specificity using multiple mutant lines
Combining antibody-based approaches with genetic tools (e.g., reporter lines)
Considering the use of monoclonal antibodies for higher specificity when studying closely related family members
While specific conditions for At4g26790 antibody aren't detailed in the search results, optimal western blot conditions for Arabidopsis antibodies typically involve:
Protein extraction in the presence of protease inhibitors
Sample preparation that considers the subcellular localization of the target protein
Testing different blocking conditions (typically 5% non-fat dry milk or BSA)
Optimizing primary antibody dilutions (typically starting at 1:1000)
Incubation at 4°C overnight for primary antibody
Using the appropriate secondary antibody conjugated to HRP or fluorescent tags
For effective immunolocalization in plant tissues:
Use freshly prepared tissue samples or properly fixed material
Consider fixation with 4% paraformaldehyde for most applications
Optimize permeabilization conditions depending on the subcellular target location
Use appropriate antigen retrieval methods if necessary
Include blocking steps to reduce background staining
Test different antibody concentrations and incubation times
Include appropriate controls (primary antibody omission, mutant tissues)
Consider tissue-specific differences in protein expression levels
Integrated approaches for comprehensive protein analysis include:
Combining antibody-based detection with transcriptomic data analysis
Using antibodies in conjunction with mass spectrometry for protein identification
Correlating protein localization with functional genetic studies
Integrating results with bioinformatic predictions of protein function
Combining with CRISPR-Cas9 gene editing to verify specificity and function
Using the antibody in conjunction with reporter gene fusions
Common challenges and solutions include:
| Challenge | Solution |
|---|---|
| High background signal | Optimize blocking conditions; try different blocking agents; increase washing steps |
| Weak or no signal | Try antigen retrieval methods; optimize antibody concentration; consider affinity purification |
| Multiple bands in western blot | Verify with knockout controls; consider post-translational modifications; optimize extraction conditions |
| Inconsistent results | Standardize sample preparation; prepare fresh working solutions; control experimental conditions carefully |
| Cross-reactivity | Use affinity-purified antibodies; validate with genetic knockout controls; optimize antibody dilution |
| Tissue penetration issues | Optimize fixation and permeabilization; consider alternative sample preparation methods |
Research indicates that affinity purification significantly improved detection rates, with 38 out of 70 (55%) antibodies showing high-confidence signals after this process .
The detection sensitivity for plant proteins depends on several factors:
Natural expression levels of the target protein (may vary by tissue, developmental stage, or environmental conditions)
Sample preparation methods that effectively preserve the target protein
Signal amplification techniques for low-abundance proteins
Antibody affinity and specificity
Background interference from cross-reactive proteins
For low-abundance proteins, researchers may need to employ:
Concentrated tissue samples
Signal enhancement methods
Extended exposure times for western blots
More sensitive detection systems (chemiluminescence or fluorescence)
When using antibodies across different tissues or developmental stages:
Verify protein expression patterns using transcriptomic data before antibody experiments
Optimize extraction protocols for different tissue types (roots vs. leaves vs. reproductive organs)
Consider tissue-specific interfering compounds that may affect antibody binding
Adjust fixation times based on tissue density and permeability
Include appropriate tissue-specific controls
Be aware that protein expression levels and post-translational modifications may vary significantly across developmental stages
For single-cell level investigations:
Combine immunolocalization with laser capture microdissection
Use high-resolution confocal microscopy with appropriate cell-type markers
Consider fluorescence-activated cell sorting (FACS) in combination with antibody staining
Employ super-resolution microscopy techniques for precise subcellular localization
Integrate with single-cell transcriptomics to correlate protein presence with expression patterns
Combine with cell-specific promoter reporter lines to validate cell-type specificity
To study protein dynamics under stress conditions:
Compare protein levels and localization patterns before and after stress application
Use time-course experiments to track changes in protein abundance and distribution
Combine with transcriptomic data to correlate protein changes with gene expression
Investigate post-translational modifications that may occur during stress responses
Consider protein turnover rates using cyclohexamide chase experiments with antibody detection
Examine interaction partners under normal versus stress conditions using co-immunoprecipitation
For quantitative analysis using antibodies:
Standardize protein extraction and loading procedures
Use internal loading controls (housekeeping proteins) for normalization
Employ quantitative western blot techniques with standard curves
Consider ELISA-based approaches for highly quantitative measurements
Use digital image analysis software for densitometry measurements
Include biological and technical replicates to ensure statistical validity
Compare results to established quantitative methods like qRT-PCR at the transcript level
Arabidopsis antibody resources are available through:
The Nottingham Arabidopsis Stock Centre (NASC), which distributes antibodies developed through initiatives like the CPIB antibody project
Academic collaborations with research groups specialized in plant antibody development
Research Resource Identifiers (RRIDs) for accurate citation and reproducibility
When obtaining plant antibodies, researchers should verify:
Experimental validation methods used by the provider
Antibody specificity testing against mutant backgrounds
Detection limits reported in both western blots and immunolocalization
Lot-to-lot consistency testing
Cross-reactivity testing against related proteins
Storage conditions and shelf-life information
Researchers can contribute by:
Publishing detailed methods sections including antibody validation
Sharing optimized protocols through community resources
Reporting negative results or cross-reactivity issues
Contributing to antibody databases with validation data
Updating stock centers with new application information
Collaborating on comparative analyses of different antibody lots or sources
Developing standardized reporting for antibody performance in plant systems