THIM Antibody

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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
THIM antibody; At3g24030 antibody; F14O13 antibody; Hydroxyethylthiazole kinase antibody; EC 2.7.1.50 antibody; 4-methyl-5-beta-hydroxyethylthiazole kinase antibody; TH kinase antibody; Thz kinase antibody
Target Names
THIM
Uniprot No.

Target Background

Function
THIM is a thiazole kinase involved in the thiamine salvage pathway.
Gene References Into Functions
  1. Studies have demonstrated that the THI4 (AT5G54770) and the ThiM (AT3G24030)/THI4 mutants exhibited no growth, as anticipated, whereas the ThiM single mutant displayed normal growth. PMID: 23816351
Database Links

KEGG: ath:AT3G24030

STRING: 3702.AT3G24030.1

UniGene: At.37606

Protein Families
Thz kinase family

Q&A

Basic Research Questions

How to systematically validate antibody specificity in experimental designs?

  • Methodological Approach:

    • Cross-reactivity Testing: Use Western blotting with recombinant proteins or knockout cell lines to confirm target specificity .

    • Epitope Mapping: Employ peptide arrays or mutagenesis to identify binding regions, ensuring alignment with intended targets .

    • Functional Assays: Pair with neutralization or blocking experiments (e.g., competitive ELISA) to verify biological activity .

Validation TechniqueAdvantagesLimitations
Western BlotHigh specificity for protein sizeRequires denatured epitopes
ImmunofluorescenceLocalization in native stateSubjective quantification
Competitive ELISAQuantifies binding affinityLimited to soluble antigens

What criteria should guide antibody selection for immunoassays?

  • Key Factors:

    • Host Species: Avoid interference with secondary antibodies (e.g., avoid rabbit primary antibodies if detecting rabbit IgG) .

    • Clonality: Monoclonal for reproducibility; polyclonal for detecting multiple epitopes .

    • Batch Documentation: Require certificates of analysis (CoA) with lot-specific validation data .

How to address contradictions in antibody performance across assays?

  • Stepwise Resolution:

    • Buffer Optimization: Adjust pH, ionic strength, or blocking agents (e.g., BSA vs. casein) .

    • Cross-Validation: Compare results with orthogonal methods (e.g., flow cytometry vs. immunohistochemistry) .

    • Antigen Retrieval: For formalin-fixed tissues, test heat-induced or enzymatic retrieval protocols .

Advanced Research Questions

What engineering strategies reduce immunogenicity in humanized antibodies?

  • Humanization Workflow:

    • CDR Grafting: Transplant murine complementarity-determining regions (CDRs) onto human framework regions (FRs) .

    • Framework Optimization: Select FRs with >85% homology to human germline sequences to minimize immunogenic hotspots .

    • Deimmunization: Replace T-cell epitopes in FRs using computational tools like EpiVax .

Example: Humanization of anti-PSMA antibodies (e.g., J591) preserved binding affinity (Kd109K_d \approx 10^{-9} M) while reducing HAMA responses by >70% in preclinical models .

How to optimize radiolabeling protocols for antibodies without compromising function?

  • Protocol Design:

    • Chelator Conjugation: Use ITCB-DTPA for stable binding of radiometals (e.g., 177^{177}Lu) at pH 8.3 .

    • Activity Preservation: Limit specific activity to 1–2 mCi/mg to avoid aggregation .

    • Quality Control: Validate purity via size-exclusion chromatography and ITLC (>95% radiochemical purity required) .

Critical Parameters:

  • Incubation time: 45 min for 99m^{99m}Tc vs. 2 hr for 177^{177}Lu .

  • Buffer: Sodium citrate (0.06 M) minimizes non-specific binding .

How to design multi-antibody panels for complex disease models?

  • Panel Optimization:

    • Epitope Diversity: Combine antibodies targeting distinct domains (e.g., extracellular vs. intracellular epitopes) .

    • Cross-Reactivity Screening: Pre-test in multiplex assays (e.g., Luminex) to identify interference .

    • Titration Matrix: Use checkerboard titrations to balance signal-to-noise ratios across targets .

Case Study: In prostate cancer models, pairing anti-PSMA (extracellular) with anti-AR (nuclear) antibodies improved detection of metastatic lesions by 40% compared to single-antibody imaging .

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