The nomenclature "At1g11460" follows the Arabidopsis thaliana gene naming convention:
At: Species abbreviation (Arabidopsis thaliana).
1: Chromosome number.
g: Indicates a gene (vs. pseudogene or other genomic features).
11460: Unique locus identifier.
This gene is annotated in plant genomics databases but lacks documented association with antibody development or therapeutic applications.
The provided sources focus on antibodies targeting human proteins (e.g., AT1R, Claudin-1, influenza neuraminidase) or general antibody mechanisms. Key findings:
No studies describe antibodies targeting plant-specific proteins like At1g11460 in the provided materials.
Typographical Error: If the intended target was AT1R (angiotensin II type-1 receptor), extensive data exists on its antibodies in autoimmune diseases and transplantation .
Misidentified Gene: At1g11460 may refer to a hypothetical or uncharacterized plant protein with no known antibody development.
To investigate "At1g11460 Antibody":
Verify Gene Annotation: Confirm the gene’s function using Arabidopsis databases (TAIR, UniProt).
Explore Homologs: Check if mammalian homologs of At1g11460 exist that might have associated antibodies.
Antibody Generation: If novel, consider hybridoma or phage display techniques to develop antibodies against this target.
KEGG: ath:AT1G11460
The Arabidopsis thaliana gene AT1G11460 encodes a protein of interest in plant biology research, though specific commercial antibodies for this target are not well-documented in available literature. Below are method-focused FAQs addressing common challenges in antibody validation and application for low-abundance plant proteins, informed by general antibody research principles from peer-reviewed studies:
Multimodal Imaging
Correlate antibody staining with:
Transcriptional reporters (GUS, GFP)
Subcellular fractionation/Western blotting
Conditional Expression Systems
Use dexamethasone-inducible promoters to:
Track protein redistribution over time
Distinguish endogenous vs. ectopic expression
Quantitative Analysis
Implement automated image analysis pipelines for:
Subcellular pattern quantification
Intensity normalization across developmental stages
Bayesian hierarchical modeling to account for:
Batch effects across experiments
Antibody lot variability
Machine learning approaches for:
Pattern recognition in subcellular localization
Automated artifact detection
| Parameter | Acceptable Range | Measurement Method |
|---|---|---|
| Lot consistency | CV < 15% | ELISA with reference antigen |
| Cross-reactivity | <5% binding to paralogs | BLI/SPR analysis |
| LOD in planta | <10 ng/mg TSP | Serial dilution WB |
Biological Controls
Wild-type vs. constitutive overexpression lines
Circadian-synchronized plant populations
Technical Controls
Spiked-in recombinant protein standards
Reference antibodies against housekeeping proteins
Data Normalization
Use geometric mean of multiple reference genes
Apply LOESS regression for developmental trends
Key Limitations in Current Literature
While the provided sources contain valuable antibody validation frameworks , bispecific engineering insights , and structural analysis methods , no direct studies on AT1G11460-specific antibodies were identified. Researchers should:
Cross-reference with Arabidopsis proteome databases (TAIR, SUBA)
Validate findings using independent molecular tools (CRISPR, transcriptional reporters)
Consult plant-specific antibody validation guidelines from major journals (Plant Cell, Nature Plants)