C35D10.10 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
14-16 week lead time (made-to-order)
Synonyms
C35D10.10 antibody; Thioredoxin-related transmembrane protein 2 homolog antibody; Thioredoxin domain-containing protein 14 homolog antibody
Target Names
C35D10.10
Uniprot No.

Target Background

Database Links
Subcellular Location
Membrane; Single-pass type I membrane protein.

Q&A

FAQs for C35D10.10 Antibody in Academic Research

Advanced Research Questions

  • How can contradictions in C35D10.10 antibody performance across studies be resolved?

    • Troubleshooting steps:

      1. Compare antibody lots and storage conditions (e.g., aliquoting at -80°C to prevent freeze-thaw degradation) .

      2. Validate using orthogonal methods (e.g., mass spectrometry after IP to confirm binding partners) .

      3. Context-dependent optimization: Adjust lysis buffer composition (e.g., inclusion of 1% NP-40 for membrane-bound targets) .

  • What multi-omics approaches integrate C35D10.10 antibody data effectively?

    • Transcriptome profiling: Pair antibody-based protein quantification with RNA-seq to identify dysregulated pathways (e.g., unfolded protein response or immune signaling) .

    • Proteomic mapping: Use IP followed by LC-MS/MS to reconstruct interaction networks (e.g., linking C35D10.10 to DCV exocytosis regulators like IDA-1/UNC-31) .

Data Tables: Key Findings Using C35D10.10-Related Antibodies

Experimental ContextTechniqueKey InsightSource
NF-κB signaling in T cellsCo-IP, WBCYLD (E-10 antibody) destabilizes the CBM complex by deubiquitinating BCL10.
Prostate cancer progressionIHC, IFCYLD loss correlates with NoxO1 stabilization and tumor invasiveness.
Hypodermal ribosome inhibitionRNA-seq, Genetic screensC35D10.10 interacts with DCV exocytosis components (e.g., IDA-1, UNC-31).
Aggregation-prone protein stressGene ontology analysisC35D10.10 co-expressed with UPR and oxidative stress response genes.

Methodological Recommendations

  • How to design experiments analyzing C35D10.10’s role in developmental arrest?

    • Step 1: Use tissue-specific promoters (e.g., col-10 for hypodermal expression) to knockdown C35D10.10 in C. elegans .

    • Step 2: Monitor larval arrest phenotypes via time-lapse microscopy and quantify using tools like ImageJ .

    • Step 3: Validate with rescue experiments (e.g., transgenic overexpression of wild-type C35D10.10) .

  • What statistical frameworks address variability in antibody-based quantification?

    • Approach: Apply linear mixed-effects models to account for batch effects (e.g., antibody lot variability) .

    • Software: Use R packages (e.g., lme4) or Python’s statsmodels for longitudinal data analysis .

Critical Analysis of Contradictory Data

  • Case study: Discrepancies in CYLD’s role in NF-κB regulation vs. developmental signaling may stem from tissue-specific isoforms. Resolve by isoform-specific antibody validation (e.g., targeting alternative splicing variants).

  • Solution: Perform exon-specific CRISPR knockouts and retest antibody reactivity .

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