At1g70970 Antibody
Description
Genomic and Protein Context
The At1g70970 gene resides on chromosome 1 of Arabidopsis thaliana. The encoded protein (UniProt: Q9SSK2) is annotated as a "protein of unknown function" with no conserved domains identified in public databases. Homology searches yield no significant matches to characterized proteins in other species, suggesting a plant-specific role.
Potential Research Applications
While direct studies on At1g70970 are lacking, its antibody may be utilized for:
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Subcellular localization studies: To determine tissue-specific expression patterns in Arabidopsis.
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Knockout mutant validation: Confirm gene silencing or overexpression in transgenic lines.
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Interaction proteomics: Identify binding partners via immunoprecipitation.
The absence of published data necessitates empirical validation for each experimental system .
Comparative Analysis with Related Antibodies
Antibodies against other Arabidopsis proteins (e.g., ADG2, APS1) listed alongside At1g70970 in commercial catalogs are frequently used in metabolic pathway studies. For example:
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ADG2 Antibody: Targets a starch synthase critical for carbohydrate metabolism.
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APS1 Antibody: Binds to ATP sulfurylase involved in sulfate assimilation.
This contextualizes At1g70970 within broader plant biology research, though its functional niche remains undefined.
Limitations and Gaps
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No functional studies: The role of At1g70970 in Arabidopsis physiology is unreported.
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Validation data scarcity: Commercial listings lack experimental evidence (e.g., Western blot images, immunofluorescence).
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Cross-reactivity risks: Undocumented specificity for related epitopes in plant proteomes.
Future Directions
Priority investigations should:
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Characterize At1g70970's expression under stress conditions (e.g., drought, pathogens).
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Perform yeast two-hybrid screens to map interaction networks.
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Validate antibody specificity using At1g70970 knockout mutants.
Product Specs
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Q&A
At1g70970 Antibody Research FAQs
Advanced Methodological Challenges
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How to resolve discrepancies in At1g70970 localization data across studies?
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Technical variables: Compare fixation methods (e.g., formaldehyde vs. glutaraldehyde), antibody batches, and imaging platforms used .
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Biological factors: Assess tissue-specific post-translational modifications or splice variants affecting epitope accessibility .
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Quantitative validation: Use mass spectrometry or fluorescent protein fusions to corroborate antibody-derived localization patterns .
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What strategies minimize cross-reactivity with homologous Arabidopsis proteins (e.g., At1g70960)?
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Epitope mapping: Identify the antibody’s binding region via peptide arrays and align with homologous sequences to predict off-target risks .
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Adsorption: Pre-absorb the antibody with recombinant proteins from closely related genes (e.g., At1g70960) to isolate specific binding .
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Multiplexed assays: Combine with RNA-seq or proteomics to confirm observed signals correlate with At1g70970 expression trends .
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Data Interpretation & Troubleshooting
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How to address low signal in Western blotting despite confirmed antibody specificity?
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Sample preparation: Optimize protein extraction buffers (e.g., inclusion of protease inhibitors) and ensure reducing conditions for SDS-PAGE .
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Signal amplification: Use high-sensitivity substrates (e.g., chemiluminescent) or tyramide-based amplification for low-abundance targets .
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Alternative techniques: Switch to ELISA or immunoprecipitation followed by mass spectrometry for enhanced detection limits .
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Why do At1g70970 antibody results vary between ELISA and immunohistology?
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Epitope accessibility: Conformational changes in native vs. denatured protein may alter antibody binding .
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Matrix effects: Plant secondary metabolites in tissue extracts can interfere with ELISA but not fixed histological samples .
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Solution: Validate antibody performance across multiple platforms using standardized positive controls (e.g., recombinant At1g70970) .
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Integration with Omics Datasets
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How to correlate At1g70970 antibody-based protein levels with transcriptomic data?
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Normalization: Use housekeeping proteins (e.g., actin) for Western blot quantification and compare with RNA-seq FPKM values .
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Time-course experiments: Track protein vs. mRNA dynamics during developmental stages or stress responses to identify post-transcriptional regulation .
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Machine learning: Train models on paired transcriptome/proteome datasets to predict antibody reliability in uncharacterized conditions .
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