FUT8 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
14-16 week lead time (made-to-order)
Synonyms
FUT8 antibody; At1g14100 antibody; F7A19.18Probable fucosyltransferase 8 antibody; AtFUT8 antibody; EC 2.4.1.- antibody
Target Names
FUT8
Uniprot No.

Target Background

Function
Putative roles include participation in cell wall biosynthesis and potential function as a fucosyltransferase.
Database Links

KEGG: ath:AT1G14100

STRING: 3702.AT1G14100.1

UniGene: At.72233

Protein Families
Glycosyltransferase 37 family
Subcellular Location
Golgi apparatus, Golgi stack membrane; Single-pass type II membrane protein.
Tissue Specificity
Expressed in leaves and stems.

Q&A

Basic Research Questions

  • What experimental methods validate FUT8 antibody specificity in glycan modification studies?

    • Methodological answer: Validate FUT8 antibodies using:

      • Western blotting with FUT8-knockout (KO) cell lysates (e.g., CHO or cancer cell lines) to confirm band disappearance .

      • Immunohistochemistry (IHC) paired with enzymatic deglycosylation to distinguish core fucosylation signals from nonspecific binding .

      • Flow cytometry with FUT8-overexpressing vs. wild-type cells to quantify membrane-associated FUT8 .

      • Table 1: Common validation controls for FUT8 antibodies:

        Control TypeApplicationExpected Outcome (FUT8-KO vs. WT)
        CRISPR-KO cell lysateWestern blotBand absence in KO lysate
        Lectin-binding assayGlycan profilingReduced LCA reactivity in KO
        Co-staining with FUT8IHC/IFColocalization with ER/Golgi markers
      • Key citations: .

  • How does FUT8 knockout influence global glycoproteomic profiles in CHO cells?

    • Methodological answer:

      • Perform large-scale glycoproteomics using hydrophilic interaction chromatography (HILIC) and LC-MS/MS to compare FUT8-KO vs. wild-type CHO cells .

      • Key findings from :

        • Core fucosylation: Reduced by >99% in FUT8-KO cells.

        • Sialylation: Decreased sialyltransferase activity (e.g., ST6GAL1 down 2.1-fold).

        • Glycosite occupancy: 26.7% of glycosites showed altered occupancy (e.g., increased high-mannose glycans).

  • What cancer models demonstrate FUT8’s role in immune evasion?

    • Methodological answer:

      • Use syngeneic mouse models (e.g., lung adenocarcinoma) with FUT8-KO tumor cells. Assess:

        • Immune checkpoint expression: PD-L1/PD-1 downregulation via flow cytometry .

        • Tumor-infiltrating lymphocytes (TILs): Increased CD8+ T cells in FUT8-KO tumors .

      • Table 2: FUT8-associated immune markers in cancer:

        Cancer TypeObserved Change (FUT8 Inhibition)Mechanism
        Lung↓ PD-L1, ↑ T cell infiltrationAltered TGF-β signaling
        Prostate↓ EGFR stabilityImpaired growth factor binding
        Lymphoma↓ B7-H3 expressionReduced T cell exhaustion
      • Key citations: .

Advanced Research Questions

  • How to resolve contradictions in FUT8’s pro-metastatic vs. anti-metastatic roles across cancers?

    • Methodological answer:

      • Context-dependent analysis:

        • Organ-specific glycosylation: Profile FUT8 substrates (e.g., integrins in melanoma vs. cadherins in prostate cancer) .

        • Microenvironment modulation: Co-culture FUT8-KO tumor cells with fibroblasts/immune cells to assess ECM remodeling .

      • Statistical approach: Apply multivariate regression to isolate FUT8’s effect from confounding factors (e.g., hypoxia, inflammation) .

      • Key data: In prostate cancer, FUT8 overexpression increased metastasis by stabilizing EGFR, while in melanoma, KO enhanced PD-1 suppression .

  • What strategies improve antibody-dependent cellular cytotoxicity (ADCC) via FUT8 modulation?

    • Methodological answer:

      • Co-expression systems: Use CHO cells with anti-FUT8 intrabodies to reduce core fucosylation to <5% while maintaining titer .

      • Glycoengineering: Combine FUT8-KO with β-galactosidase overexpression to optimize FcγRIIIa binding .

      • Table 3: ADCC enhancement strategies:

        StrategyFucosylation LevelADCC Increase (vs. WT)Limitations
        FUT8-KO CHO cells0%10–50xAltered cell growth
        Anti-FUT8 intrabodies<5%5–20xTransient transfection
        Lectin selection1–3%3–10xLow yield
      • Key citations: .

  • How to integrate FUT8 glycomics data with transcriptomic/proteomic datasets?

    • Methodological answer:

      • Multi-omics pipeline:

        1. Glycoproteomics: Identify FUT8-regulated glycosites (e.g., 928 sites in CHO cells) .

        2. RNA-seq: Correlate FUT8 expression with EMT markers (e.g., SNAI1, VIM) .

        3. Kinase profiling: Link core fucosylation to MAPK/ERK activation using phosphoproteomics .

      • Tool recommendation: Use GlyConnect or UniCarb-DB for glycan structure annotation.

Data Contradiction Analysis

  • Why do some studies report FUT8 as oncogenic while others show tumor-suppressive effects?

    • Critical factors:

      • Cell type specificity: FUT8 promotes metastasis in prostate cancer but suppresses it in colorectal cancer via divergent Wnt/β-catenin modulation .

      • Experimental endpoint: Short-term vs. long-term FUT8 inhibition may differentially affect immune checkpoint dynamics .

    • Resolution strategy:

      • Perform time-course experiments to track FUT8’s dual roles in early tumorigenesis vs. metastatic colonization.

      • Use conditional KO models to isolate tissue-specific effects.

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