The search results provided focus on general antibody biology, monoclonal antibody applications, and specific antibodies targeting human receptors (e.g., angiotensin II type 1 receptor, dengue virus proteins). None of the sources mention "At1g10455," a gene identifier typically associated with Arabidopsis thaliana (a model plant organism). This suggests either:
The antibody is highly specialized and not covered in the provided literature.
The identifier may contain a typographical error or non-standard nomenclature.
The term "At1g10455" follows the standard format for Arabidopsis thaliana gene identifiers, where "At" denotes the species, "1" refers to chromosome 1, "g" indicates a gene, and "10455" is the unique locus identifier. Antibodies targeting plant proteins are often labeled using the gene identifier or the protein name (e.g., "Anti-At1g10455").
No plant-specific antibodies were identified in the search results, which focus on human and viral targets.
Databases such as the Monoclonal Antibody Database (Result 12) and PLAbDab (Result 13) list antibodies for human antigens (e.g., HLA, T cells, transferrin receptors) but none for plant proteins.
While At1g10455 Antibody is not discussed, the search results provide foundational insights into antibody biology:
| Feature | Description |
|---|---|
| Y-shaped protein | Composed of two heavy and two light chains with variable (Fab) and constant (Fc) regions. |
| Isotypes | IgA, IgD, IgE, IgG, IgM (Result 1, 8). |
| Function | Neutralizes pathogens, activates complement, and tags antigens for destruction. |
Monoclonal antibodies (mAbs) are used in diagnostics (e.g., pregnancy tests) and therapies (e.g., cancer, autoimmune diseases).
Engineered antibodies like VIS513 (Result 4) target viral epitopes with high specificity.
Given the lack of direct data, hypothetical applications could include:
Plant Biology Studies: Investigating the role of the At1g10455 gene product in Arabidopsis.
Agricultural Biotechnology: Developing disease-resistant crops by targeting plant-pathogen interactions.
To obtain authoritative information on At1g10455 Antibody:
Consult Plant-Specific Databases:
The Arabidopsis Information Resource (TAIR) or UniProt for gene/protein annotations.
Literature Search:
Use platforms like PubMed or Google Scholar with keywords: "At1g10455 Antibody," "Arabidopsis thaliana antibody."
Commercial Suppliers:
Contact antibody manufacturers (e.g., Proteintech, Thermo Fisher) for product availability.
KEGG: ath:AT1G10455
UniGene: At.51555
AT1G10455 encodes a B3 DNA-binding domain protein in Arabidopsis thaliana according to the Araport11 database . As a putative transcription factor, developing specific antibodies enables researchers to study its expression patterns, subcellular localization, protein-protein interactions, and DNA-binding activities. The protein likely functions in transcriptional regulation pathways, making it valuable for understanding plant gene expression networks.
The B3 DNA-binding domain should be approached with caution as an immunogen due to potential cross-reactivity with other B3 domain-containing proteins in Arabidopsis. Instead, target unique regions outside conserved domains, particularly N-terminal or C-terminal regions with low sequence similarity to other proteins. Epitope mapping software should be used to identify regions with high antigenicity and surface exposure while avoiding regions prone to post-translational modifications.
The most effective approach involves generating recombinant protein fragments or synthetic peptides from unique regions of AT1G10455. For monoclonal antibody development, consider using the following protocol:
| Step | Procedure | Critical Considerations |
|---|---|---|
| 1 | Select unique antigenic region | Avoid B3 domain to prevent cross-reactivity |
| 2 | Express recombinant protein fragment | Use bacterial or insect cell systems with affinity tags |
| 3 | Purify protein under native conditions | Maintain proper folding where possible |
| 4 | Immunize animals (typically rabbits) | Follow established immunization schedule |
| 5 | Screen antibody titers | ELISA against immunizing antigen |
| 6 | Validate specificity | Western blot with positive controls and AT1G10455 knockout lines |
Validation requires a multi-faceted approach:
Western blot analysis comparing wild-type and AT1G10455 knockout/knockdown plants
Immunoprecipitation followed by mass spectrometry to confirm target identity
Competitive inhibition assays using the immunizing peptide/protein
Cross-reactivity testing against closely related B3 domain proteins
Heterologous expression systems using tagged versions of AT1G10455 as positive controls
Research shows that antibodies targeting plant transcription factors should ideally detect a single band of expected molecular weight that disappears in knockout lines and increases in overexpression lines.
For optimal Western blot results with AT1G10455 antibody:
Extract proteins from nuclear-enriched fractions to concentrate the transcription factor
Use a reducing buffer containing 100 mM DTT to disrupt potential disulfide bonds
Optimize protein transfer conditions for high molecular weight proteins (25-35 kV·h)
Block membranes with 5% BSA in TBST rather than milk to reduce background
Incubate with primary antibody (1:1000 dilution) overnight at 4°C
Extend washing steps (6 × 5 minutes with TBST) to minimize background
Include positive controls (overexpressed tagged protein) and negative controls (knockout line)
For successful ChIP experiments:
Crosslink plant tissue with 1% formaldehyde for 10 minutes at room temperature
Optimize sonication to yield DNA fragments of 200-500 bp
Use 5 μg of AT1G10455 antibody per immunoprecipitation reaction
Include appropriate controls (IgG, input samples, and ideally AT1G10455 knockout material)
Prepare a qPCR panel targeting promoters of potential target genes
Normalize enrichment to input and IgG control
Consider ChIP-seq for genome-wide binding site identification
Researchers should design primers for qPCR validation that target regions containing B3 binding elements, which typically contain the consensus sequence CATGCA.
Weak signals may result from several factors:
| Challenge | Potential Solution | Technical Rationale |
|---|---|---|
| Low protein abundance | Enrich for nuclear fraction | AT1G10455 is a nuclear-localized transcription factor |
| Protein degradation | Add protease inhibitor cocktail immediately after tissue disruption | Prevents proteolytic degradation during extraction |
| Epitope masking | Test different extraction buffers and denaturation conditions | May improve epitope accessibility |
| Developmental regulation | Sample tissues at different developmental stages | Expression may vary temporally |
| Low antibody affinity | Test different antibody concentrations | Optimal concentration may differ from standard protocols |
Consider inducing expression by exposing plants to conditions that upregulate AT1G10455 before protein extraction, as transcription factors are often present at low baseline levels but increase during specific responses.
The main sources of cross-reactivity include:
Other B3 domain-containing proteins in Arabidopsis (the genome contains approximately 90 B3 domain proteins)
Structural similarities with other DNA-binding proteins
Non-specific binding to abundant proteins in plant extracts
Batch-to-batch variability in polyclonal antibodies
To minimize cross-reactivity, pre-absorb antibodies with plant extracts from AT1G10455 knockout lines or perform immunodepletion using recombinant proteins containing shared domains.
For protein interaction studies:
Co-immunoprecipitation (Co-IP):
Crosslink protein complexes in vivo using formaldehyde or DSP
Immunoprecipitate with AT1G10455 antibody
Analyze precipitated proteins by mass spectrometry or Western blot
Proximity Ligation Assay (PLA):
Fix and permeabilize plant tissue or cells
Incubate with AT1G10455 antibody and antibody against potential interacting partner
Perform PLA protocol to visualize interactions in situ
ChIP-reChIP:
Perform sequential ChIP with AT1G10455 antibody and antibody against putative co-factor
Identify genomic regions bound by both proteins
To study transcriptional complexes:
Combine ChIP-seq using AT1G10455 antibody with RNA-seq to correlate binding with gene expression
Perform motif enrichment analysis on ChIP-seq peaks to identify co-occurring binding sites
Use sequential ChIP to detect co-occupancy with other transcription factors
Analyze AT1G10455 association with chromatin modifiers through Co-IP followed by mass spectrometry
Assess binding to specific chromatin states by integrating ChIP-seq data with histone modification maps
When faced with contradictory results:
Verify antibody specificity in each experimental context
Consider post-translational modifications that might affect epitope recognition
Assess whether differences in plant growth conditions or developmental stages might explain discrepancies
Evaluate extraction methods, as different buffers may extract different protein populations
Use complementary approaches (e.g., epitope-tagged versions) to validate findings
Determine if the antibodies recognize different epitopes that might be differentially accessible
For robust ChIP data analysis:
Use fold enrichment over IgG control with minimum threshold of 3-fold
Apply false discovery rate (FDR) correction for multiple testing when analyzing genome-wide data
Implement peak calling algorithms appropriate for transcription factors (e.g., MACS2)
Validate selected targets by ChIP-qPCR with biological replicates (n≥3)
Calculate confidence intervals and p-values to assess statistical significance
Perform motif enrichment analysis to confirm biological relevance of binding sites
To integrate antibody-based studies with genetics:
Compare protein levels and localization between wild-type and mutant lines
Analyze effects of point mutations on protein-protein interactions and DNA binding
Study the impact of overexpression or complementation on AT1G10455 protein levels and function
Assess protein expression in different genetic backgrounds to identify regulators
Combine with CRISPR-Cas9 genome editing to create epitope-tagged endogenous versions
For multi-omics integration:
Correlate AT1G10455 binding sites from ChIP-seq with differential expression from RNA-seq
Analyze temporal dynamics of AT1G10455 protein levels in relation to target gene expression
Create network models incorporating protein-DNA interactions and expression data
Perform gene ontology enrichment analysis of AT1G10455 targets identified by ChIP
Compare binding profiles across different conditions to identify context-specific functions
AT1G10455 likely participates in regulatory networks involving other transcription factors, as many B3 domain proteins function in complexes to regulate plant development and responses to environmental stimuli.