At4g22165 Antibody

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Description

AT4G22165 Gene Overview

AT4G22165 is annotated as a probable F-box protein involved in protein degradation pathways, though its precise biological function remains uncharacterized . Key details include:

PropertyValue
Locus ID505006507
TAIR Short DescriptionF-box family protein with DUF295 domain
AliasesAtFDB30
Protein FamilyF-box (SCF complex component)
Expression PatternsPredicted based on computational models (no experimental data cited)

This gene is part of the broader F-box protein family, which regulates ubiquitination and proteasomal degradation of target proteins in plants .

Recombinant Protein Availability

Commercial sources offer recombinant AT4G22165 protein expressed in E. coli, yeast, baculovirus, or mammalian systems . These products could theoretically be used to generate anti-AT4G22165 antibodies for research purposes, though no such antibodies are explicitly documented in literature.

Recombinant SourceExpression SystemApplications
CSB-YP316739DOAYeastWestern blot, ELISA, antibody production
CSB-EP316739DOAE. coliStructural studies, affinity assays
CSB-MP316739DOAMammalian cellsFunctional assays (e.g., ubiquitination studies)

Hypothetical Antibody Applications

While no specific antibodies targeting AT4G22165 are reported, general antibody strategies applicable to F-box proteins include:

Functional Studies

  • Ubiquitination assays: Antibodies could detect AT4G22165 interactions with E3 ligase complexes or substrate proteins .

  • Protein localization: Fluorescently tagged antibodies might map AT4G22165 to cellular compartments (e.g., cytoplasm, nucleus).

Diagnostic/Therapeutic Potential

F-box proteins are often targets in plant stress responses. Antibodies could:

  • Monitor protein levels: Quantify AT4G22165 expression under abiotic stress.

  • Inhibit degradation pathways: Block SCF complex activity to study downstream phenotypes.

Challenges in Antibody Development

Development of anti-AT4G22165 antibodies faces hurdles common to plant protein immunology:

  1. Low immunogenicity: DUF295 domains may lack conserved epitopes, necessitating peptide-based immunization.

  2. Cross-reactivity: F-box proteins share structural motifs, increasing off-target binding risks.

  3. Validation complexity: Requires orthogonal methods (e.g., CRISPR knockout) to confirm specificity.

Related Antibody Research in Plant Biology

Though not directly linked to AT4G22165, antibody-based tools in plant science include:

TargetAntibody TypeApplication
PfRH5 (malaria)MonoclonalNeutralizing malaria parasite invasion
I223R/H275Y neuraminidaseMonoclonalDetecting antiviral-resistant influenza
PfCSP (malaria)PolyclonalLiver-stage parasite neutralization

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Components: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
At4g22165 antibody; T10I14 antibody; Probable F-box protein At4g22165 antibody
Target Names
At4g22165
Uniprot No.

Q&A

Based on a comprehensive analysis of current antibody research methodologies and principles from peer-reviewed studies, here are FAQs tailored for academic researchers working with specialized antibodies like At4g22165:

Advanced Research Questions

How to resolve contradictory binding affinity data across assays?

  • Case example from IL-4Rα antibody development :

    AssayKD (nM)Notes
    BLI (monomeric)1.04Gold standard for intrinsic affinity
    SPR (bivalent)0.01Shows avidity effects
    • Solution: Use multiple orthogonal methods (BLI, ITC, SPR) and account for valency effects

How to establish reliable negative controls for plant studies?

  • Recommended control matrix:

Control TypeImplementationValidation Metric
GeneticCRISPR-Cas9 knockout line≥90% signal reduction
Chemical10mM MG132 pretreatmentBlocks proteasomal degradation artifacts
TechnicalIsotype-matched IgG≤5% background staining

What statistical approaches handle batch effects in antibody-based screens?

  • Apply linear mixed-effects model:
    yij=μ+αi+βj+ϵijy_{ij} = \mu + \alpha_i + \beta_j + \epsilon_{ij}
    Where:

    • αi\alpha_i: Antibody lot random effect

    • βj\beta_j: Plant growth chamber fixed effect

  • Validate with PCA clustering of ≥3 independent replicates

Emerging Techniques

How to integrate SERS-based detection for low-abundance targets?

  • Protocol adapted from influenza NA detection :

    • Conjugate antibodies to 60nm AuNPs (OD520 = 3-4)

    • Use Raman reporter molecule: 4-mercaptobenzoic acid (10μM)

    • Validate with spike-recovery experiments (70-130% acceptable range)

What in silico methods predict cross-reactivity risks?

  • Structural homology pipeline:

    • Generate 3D model using AlphaFold2 (pLDDT >85)

    • Perform surface similarity search with PDBeFold (Z-score >6)

    • Validate with SPR against top 5 homologs

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