At2g20870 Antibody

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Description

Target Protein: AT2G20870 Gene Product

Biological Role
The AT2G20870 locus encodes a putative cell wall protein precursor involved in structural support and developmental regulation in Arabidopsis thaliana. Computational analyses classify it as part of the plant-specific cell wall protein family .

Key Features

PropertyDescription
Gene IDAT2G20870
Protein ClassCell wall protein precursor
OrganismArabidopsis thaliana (Mouse-ear cress)
Biological ProcessCell wall organization
Molecular FunctionStructural molecule activity (putative)

Cell Wall Dynamics

Antibodies against AT2G20870 enable spatial mapping of cell wall protein distribution during plant growth phases. Studies using similar antibodies (e.g., 36 kDa and 48 kDa cell wall antibodies) reveal stage-specific expression patterns in root and shoot tissues .

Stress Response Analysis

While AT2G20870 itself isn’t listed in combined stress studies , antibodies targeting homologous cell wall proteins (e.g., PRB1, PDF1.2) demonstrate utility in quantifying stress-induced modifications:

Stress TypeObserved Changes in Related Proteins
Pathogen AttackDownregulation of defense peptides
Drought/Osmotic StressAltered cell wall lignification

Western Blot Performance

Antibodies against Arabidopsis cell wall proteins typically exhibit:

  • Band Specificity: Single bands at expected molecular weights (e.g., 31–60 kDa range for related antigens)

  • Cross-Reactivity: Minimal with non-cell wall proteins in validation assays

Immunohistochemistry

Protocols optimized for plant tissues recommend:

  • Fixation: 4% paraformaldehyde

  • Blocking: 5% BSA in PBS-Tween

  • Dilution Range: 1:500–1:2,000

Technical Considerations

Limitations

  • Epitope accessibility varies with cell wall maturation stage

  • Potential cross-reactivity with homologous proteins in Brassicaceae species

Best Practices

  • Combine with cell wall fractionation protocols

  • Validate using AT2G20870 knockout mutants

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
At2g20870 antibody; F5H14.16Putative cell wall protein antibody
Target Names
At2g20870
Uniprot No.

Target Background

Database Links

KEGG: ath:AT2G20870

STRING: 3702.AT2G20870.1

UniGene: At.26797

Subcellular Location
Secreted, cell wall.
Tissue Specificity
Inflorescence.

Q&A

Basic Research Questions

How to validate At2g20870 antibody specificity in Arabidopsis abiotic stress studies?

Validation requires a multi-step approach:

  • Knockout controls: Use At2g20870 knockout lines (e.g., T-DNA mutants) to confirm absence of signal in Western blots or immunolocalization .

  • Peptide competition assays: Pre-incubate the antibody with the immunizing peptide (e.g., residues 50-150 of At2g20870) to block binding .

  • Cross-species testing: Verify reactivity against orthologs in Nicotiana or other model plants to assess conservation .

What are standard applications for At2g20870 antibody in ABA signaling research?

  • Protein localization: Immunolocalization in root/shoot apical meristems under drought stress (e.g., paraffin-embedded sections) .

  • Quantitative assays: Measure ABA accumulation in transgenic lines overexpressing At2g20870 (e.g., 35S::XERICO) via ELISA, correlating with drought tolerance phenotypes .

  • Interaction studies: Co-immunoprecipitation with partners like AtUBC8 or AtTLP9, validated via yeast two-hybrid assays .

How to optimize Western blot protocols for At2g20870 detection?

  • Sample preparation: Use fresh tissue homogenized in RIPA buffer with protease inhibitors (e.g., PMSF).

  • Membrane blocking: 5% non-fat milk in TBST for 1 hr to reduce non-specific binding .

  • Antibody dilution: Start at 1:1,000 for primary antibody (empirically adjust based on signal-to-noise ratio) .

Advanced Research Questions

How to resolve discrepancies in At2g20870 expression data across drought stress studies?

FactorConsiderationExample from Literature
Tissue specificityMeristem vs. mature leaf tissues show differential At2g20870 expression .243.55 vs. 462.45 mRNA levels in root vs. shoot .
Time-course designABA peaks at 6 hr post-drought; sample timing impacts detection .14-day-old plants vs. 30-day-old in drought assays .
Antibody lot variabilityValidate each batch with knockout controls to exclude non-specific bands .Multiple immunoreactive bands in KO mice .

What mechanistic insights can be gained from At2g20870 interaction studies?

  • Ubiquitination pathways: At2g20870’s RING-H2 domain interacts with E2 ligases (e.g., AtUBC8), suggesting a role in protein turnover under stress .

  • Transcriptional regulation: Co-expression with 9-cis-epoxycarotenoid dioxygenase (NCED3) and RD29a implies ABA biosynthesis modulation .

  • Structural analysis: Epitope mapping (e.g., residues 40-60) reveals binding sites critical for enzymatic inhibition or activation .

How to address cross-reactivity with paralogs like At1g56430 in Brassicales?

  • Phylogenetic alignment: Identify conserved regions (e.g., RING-H2 motif) and design blocking peptides for unique epitopes .

  • CRISPR-Cas9 knockdown: Generate At1g56430 mutants to isolate At2g20870-specific signals .

  • Alternative detection: Combine antibody data with RNA-seq to confirm transcriptional vs. post-translational regulation .

Methodological Best Practices

Critical controls for immunoprecipitation (IP) experiments

  • Isotype control: Use non-specific IgG to exclude background binding .

  • Input normalization: Load 10% of lysate pre-IP to confirm target presence .

  • Competition validation: Include excess immunizing peptide (10x molar ratio) to abolish signal .

Quantitative analysis of At2g20870-mediated ABA accumulation

  • Calibration curve: Use synthetic ABA (0–100 ng/mL) for ELISA standardization .

  • Biological replicates: Three independent T3 homozygous lines (e.g., SS8-3) to account for transgene positional effects .

  • Statistical thresholds: Report mean ± S.D. (n=3) with p<0.001 for drought tolerance assays .

Data Interpretation Guidelines

Distinguishing artifact vs. true signal in immunohistochemistry

  • False positives: Autofluorescence in vascular tissues; counterstain with DAPI and use confocal microscopy .

  • Thresholding: Define positivity as ≥3-fold intensity over WT in ImageJ analyses .

Validating antibody specificity for high-throughput screens

  • Multiplex validation: Pair antibody data with orthogonal methods (e.g., RT-qPCR for At2g20870 mRNA) .

  • Machine learning: Train classifiers on knockout vs. WT datasets to filter non-specific signals .

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