math-33 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
math-33 antibody; usp-7 antibody; H19N07.2 antibody; Ubiquitin carboxyl-terminal hydrolase 7 antibody; EC 3.4.19.12 antibody; Deubiquitinating enzyme 7 antibody; Ubiquitin thioesterase 7 antibody; Ubiquitin-specific-processing protease 7 antibody
Target Names
math-33
Uniprot No.

Target Background

Function
This hydrolase deubiquitinates target proteins. It may play a role in regulating the levels of endogenous siRNA biogenesis.
Database Links

STRING: 6239.H19N07.2c

UniGene: Cel.17273

Protein Families
Peptidase C19 family
Subcellular Location
Nucleus.

Q&A

FAQs for Researchers on MATH-33 Antibody in Academic Research

Advanced Research Questions

  • How can researchers resolve contradictions in MATH-33’s regulatory effects across DAF-16 isoforms?

    • Approach:

      1. Perform isoform-specific immunoblotting to assess protein stability (e.g., reduced DAF-16a/b in math-33 mutants under IIS inhibition) .

      2. Conduct transcriptional reporter assays to test auto-regulation of daf-16d/f isoforms (Figure S3C) .

    • Table: DAF-16 Isoform Regulation by MATH-33

      IsoformProtein Stability (IIS-Inhibited)Transcript Level (IIS-Inhibited)
      a/bDecreased in math-33 mutantsUnchanged
      d/fNot assessedReduced in math-33 mutants
  • What in vitro assays validate MATH-33’s deubiquitylase activity on DAF-16?

    • Protocol:

      1. Generate polyubiquitylated DAF-16 using HEK293T cells transfected with His-tagged ubiquitin and RLE-1 (E3 ligase).

      2. Incubate ubiquitylated DAF-16 with purified MATH-33 or catalytically inactive mutant (C202S).

      3. Quantify free DAF-16 via immunoblotting (Figure 6F) .

    • Critical controls: Include USP2cc (positive control for deubiquitylation) and verify activity via loss-of-function mutants .

  • How does subcellular localization impact MATH-33-DAF-16 interaction studies?

    • Strategy:

      • Induce nuclear translocation of DAF-16 in daf-2(e1370) mutants at 25°C.

      • Compare co-IP efficiency of MATH-33 with cytoplasmic vs. nuclear DAF-16 (Figure 2D) .

    • Insight: Nuclear enrichment of MATH-33 enhances binding to active DAF-16 (Figure 2E) .

Methodological Considerations

  • What controls are essential for co-IP experiments probing MATH-33-DAF-16 interactions?

    • Requirements:

      • Use wild-type daf-2 strains to baseline cytoplasmic DAF-16 localization.

      • Include catalytically inactive MATH-33 (C202S) to rule out enzymatic artifacts .

  • How to mitigate oxidation artifacts in MATH-33 activity assays?

    • Solution:

      • Use reducing agents (e.g., DTT) in lysis buffers to preserve MATH-33’s deubiquitylase activity.

      • Validate results with oxidation-resistant IL-33 analogs (see parallel methods in ).

Data Interpretation Challenges

  • Why might MATH-33 mutations not affect DAF-16 in non-IIS contexts?

    • Analysis: MATH-33 stabilizes DAF-16 only under IIS inhibition. Test this via:

      • Tissue-specific RNAi knockdowns.

      • Time-course assays post-IIS perturbation .

  • How to address discrepancies in MATH-33’s role across species?

    • Recommendation: Compare MATH-33 orthologs (e.g., human USP7) using cross-species co-IP and activity assays. Assess functional conservation via rescue experiments in C. elegans .

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