At3g59250 Antibody
Description
Overview of At3G59250 Antibody
The At3G59250 Antibody is a custom monoclonal antibody designed to target the Arabidopsis thaliana protein encoded by the AT3G59250 gene. This antibody is primarily used in plant molecular biology research to study protein localization, function, and interactions. Based on available data, it is part of a broader catalog of antibodies for plant research, with specific applications in gene expression analysis and protein characterization.
Gene and Protein Information
The AT3G59250 gene encodes a protein classified within the F-box/RNI-like superfamily, which is associated with diverse cellular functions, including protein degradation and signaling pathways. Key details include:
| Attribute | Description |
|---|---|
| Gene Function | Involved in protein-protein interactions and regulatory processes |
| Protein Domains | F-box domain (mediates interactions with E3 ubiquitin ligases) |
| Localization | Primarily cytoplasmic or nuclear (predicted based on sequence analysis) |
Limitations and Gaps in Research
-
Sparse Literature
-
No peer-reviewed studies explicitly citing the use of the At3G59250 Antibody were found. Most data derive from product catalogs and gene annotation databases.
-
-
Functional Context
-
The biological role of the AT3G59250 protein remains unclear. F-box proteins often mediate protein degradation via the ubiquitin-proteasome system, but specific substrates or pathways for this protein are uncharacterized.
-
Comparative Analysis with Related Antibodies
The At3G59250 Antibody aligns with other Arabidopsis-specific antibodies in its design and use. Below is a comparison with structurally similar products:
| Antibody | Target Protein | ** UniProt No.** | Applications |
|---|---|---|---|
| At3G59250 Antibody | F-box/RNI-like protein | Q9LX46 | Protein localization, interaction studies |
| At4G36750 Antibody | O23207 | N/A | Gene expression, protein degradation |
| G6PD3 Antibody | Q8L743 | N/A | Metabolic pathway analysis |
Future Directions
To advance research on the At3G59250 Antibody, future studies could:
-
Validate Specificity
-
Conduct cross-reactivity tests with homologous proteins in other plant species.
-
-
Functional Knockdown Experiments
-
Combine antibody-based detection with CRISPR/Cas9-mediated gene editing to study phenotypic effects.
-
-
Omics Integration
-
Use the antibody in proteomics workflows to identify interacting partners or substrates of the AT3G59250 protein.
-
References
-
CUSABIO. (2025). Custom Antibodies for Sale, Gene Name Starting with A Page 119. Retrieved from https://www.cusabio.com/catalog-62-A-119.html
-
Supplemental Table S1. (2023). BioRxiv. Retrieved from https://www.biorxiv.org/content/biorxiv/early/2023/08/02/2023.04.17.537135/DC2/embed/media-2.xlsx?download=true
Additional antibody-related mechanisms and structures are discussed in , , and , though not directly applicable to At3G59250.
Product Specs
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Q&A
Here’s a structured FAQ collection addressing research-centric inquiries about the AT3G59250 antibody, integrating methodological guidance and data-driven insights from peer-reviewed sources:
Advanced Research Questions
How do I resolve contradictory data when AT3G59250 antibody signals conflict with transcriptomic profiles?
-
Troubleshooting Framework:
-
Approach: Perform differential expression analysis (e.g., DESeq2 ) to identify post-transcriptional regulation.
-
Validation: Use chromatin immunoprecipitation (ChIP) to assess Pol II occupancy at target loci (e.g., elevated Pol II in ref4-3 ).
-
Controls: Include med5 mutants to isolate Mediator complex-specific effects .
-
What computational tools can enhance AT3G59250 antibody-based epitope mapping?
-
Methodology:
-
Structural Modeling: Use RosettaAntibody to predict CDR loops and framework regions if structural data is lacking.
-
Affinity Optimization: Apply alanine scanning via Rosetta to identify critical residues for antigen binding.
-
Docking Simulations: Perform global/local docking (e.g., SnugDock ) to refine antibody-antigen interactions.
-
Data Integration and Multi-Omics
How can I integrate AT3G59250 antibody data with metabolomic and transcriptomic datasets?
-
Workflow:
-
Step 1: Cluster metabolite profiles (e.g., oxylipins, phenylpropanoids ) with transcriptional outputs to identify regulatory nodes.
-
Step 2: Leverage hierarchical clustering (as in ) to group mutants (e.g., med5, med23) by metabolic/transcriptional similarity.
-
Step 3: Use co-expression networks (e.g., WGCNA) to link AT3G59250-associated proteins (e.g., MED5, CDK8 ) to pathways like drought resistance or shade avoidance.
-
Experimental Pitfalls and Solutions
Ethical and Reproducibility Considerations
How do I ensure reproducibility when using AT3G59250 antibodies across labs?
-
Best Practices:
-
Reagent Sharing: Distribute aliquots from a single validation batch to collaborators.
-
Protocol Standardization: Adopt methods from published studies (e.g., lignin analysis via thioacidolysis ).
-
Data Transparency: Deposit raw Western blot images and RNA-seq reads in public repositories (e.g., NCBI SRA).
-
