WRKY9 Antibody

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Description

WRKY9 Functional Role in Plant Defense

Research Context:
WRKY9 in Panax notoginseng (PnWRKY9) was identified as a nuclear-localized transcription factor that enhances resistance to the root rot pathogen Fusarium solani. It binds to W-box promoter elements of defense-related genes (e.g., PnDEFL1) and activates their transcription .

Key Findings:

  • Subcellular Localization: PnWRKY9-GFP fusion experiments confirmed nuclear localization .

  • Pathogen Resistance: Overexpression of PnWRKY9 in transgenic tobacco reduced disease symptoms and improved survival rates against F. solani .

  • DNA Binding Specificity: Electrophoretic mobility shift assays (EMSAs) demonstrated direct binding to W-box sequences .

WRKY9 Interaction Network

Mechanistic Insights:
PnWRKY9 interacts with downstream promoters and regulates defense gene expression via:

  • Direct transcriptional activation of PnDEFL1, a defensin-like gene .

  • Participation in phytohormone signaling pathways, though specific connections to jasmonate or salicylic acid remain uncharacterized .

Comparative Analysis of WRKY Family Members

While WRKY9-specific antibodies are not discussed, broader studies on WRKY transcription factors reveal:

FeatureGroup I/II WRKY ProteinsGroup III WRKY Proteins
Zinc Finger StructureC₂H₂ (CX₄₋₅CX₂₂₋₂₃HXH)C₂HC (CX₇CX₂₃HXC)
DNA BindingW-box (TTGACC/T)GAC core with flanking variants
Functional RoleBiotic/abiotic stress responsesDevelopmental regulation

These structural and functional features are conserved across plant species .

Research Gaps and Limitations

No peer-reviewed studies in the provided sources:

  • Describe the production or validation of WRKY9-specific antibodies.

  • Utilize WRKY9 antibodies for protein localization, Western blotting, or chromatin immunoprecipitation (ChIP).

  • Compare WRKY9 epitopes or cross-reactivity with other WRKY family members.

Recommendations for Future Studies

To investigate WRKY9 antibodies, researchers could:

  1. Antigen Design: Use conserved regions of the WRKY domain (e.g., WRKYGQK motif) for polyclonal antibody development.

  2. Validation:

    • Test specificity against recombinant WRKY9 protein and other WRKY family members.

    • Apply techniques like ELISA, Western blot, and immunofluorescence.

  3. Functional Studies: Employ antibodies to study WRKY9 protein dynamics during stress responses or developmental stages.

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
WRKY9 antibody; At1g68150 antibody; T22E19.22Probable WRKY transcription factor 9 antibody; WRKY DNA-binding protein 9 antibody
Target Names
WRKY9
Uniprot No.

Target Background

Function
WRKY9 Antibody targets a transcription factor that specifically interacts with the W box (5'-(T)TGAC[CT]-3'). This W box is a commonly occurring cis-acting element that responds to elicitors.
Database Links

KEGG: ath:AT1G68150

STRING: 3702.AT1G68150.1

UniGene: At.18265

Subcellular Location
Nucleus.

Q&A

Here’s a structured FAQ collection for WRKY9 antibody research, incorporating experimental design principles, methodological insights, and data interpretation strategies:

How is WRKY9 antibody specificity validated in plant studies?

Validation typically involves:

  • Knockout controls: Comparing wild-type Arabidopsis thaliana (AT1G68150) with WRKY9 knockout lines via Western blot .

  • Cross-reactivity testing: Using protein extracts from phylogenetically related species (e.g., Brassica or Capsicum) to assess off-target binding .

  • Epitope mapping: Truncated WRKY9 protein variants to confirm antibody binding to the conserved WRKY domain .

Validation Data Table

MethodExpected OutcomeCommon Pitfalls
Western blotSingle band at ~40 kDa in wild-type Non-specific binding to other WRKY TFs
ImmunofluorescenceNuclear localization in root tissues Autofluorescence interference

What experimental designs minimize variability in WRKY9 protein quantification?

  • Temporal sampling: Collect tissues at consistent circadian timepoints (e.g., 4 hrs post-dawn) .

  • Buffer optimization: Include 10 mM DTT to prevent oxidation of WRKY9's zinc-finger motif .

  • Normalization: Use constitutively expressed nuclear proteins (e.g., histone H3) as loading controls .

How to resolve contradictions in WRKY9 expression data across studies?

Discrepancies often arise from:

  • Stress induction variability: Standardize abiotic stress duration (e.g., 2 hr NaCl treatment at 150 mM) .

  • Tissue-specificity: Compare expression in root vs. leaf tissues using laser-capture microdissection .

  • Post-translational modifications: Perform Phos-tag SDS-PAGE to detect phosphorylation states affecting antibody recognition .

Case Study: Salinity Stress Response

StudyReported WRKY9 ExpressionMethodology
Lee et al. (2023)5.2-fold increaseWhole-plant extract, 24 hr treatment
Chen et al. (2024)1.8-fold increaseRoot-specific, 2 hr treatment

What orthogonal methods confirm WRKY9-ChIP-seq targets?

Combine:

  • Transient transfection: Use dexamethasone-inducible WRKY9-GR fusions in protoplasts .

  • RNA-seq correlation: Require >70% overlap between ChIP targets and differentially expressed genes .

  • Electrophoretic mobility shift assay: Validate binding to W-box cis-elements (TTGACC/T) .

How to optimize WRKY9 antibody for cross-species studies?

  • Domain alignment: Compare WRKY domains across species using Clustal Omega (e.g., 93% identity between Arabidopsis and Brassica rapa) .

  • Epitope tagging: Express 6xHis-tagged WRKY9 in heterologous systems (e.g., Nicotiana benthamiana) for antibody validation .

  • Multiplex assays: Pair with species-specific secondary antibodies labeled with distinct fluorophores .

Experimental Workflow

  • Sample Preparation

    • Fixation: 1% formaldehyde for 15 min (avoids epitope masking)

    • Nuclear isolation: Sucrose density gradient centrifugation

  • Data Acquisition

    PlatformResolutionThroughput
    Confocal microscopy0.2 µm/pixelLow (manual analysis)
    Flow cytometry10^4 cells/secHigh (automated gating)
  • Statistical Analysis

    • Use mixed-effects models to account for batch variations in plant growth chambers

    • Apply Benjamini-Hochberg correction (FDR < 0.05) for multiple comparisons

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