FUT2 Antibody is a research reagent used to detect the protein product of the FUT2 gene, which encodes galactoside 2-alpha-L-fucosyltransferase 2. This enzyme is critical in synthesizing histoblood group antigens (HBGA), which determine the secretor status of ABO blood group antigens in body fluids . FUT2 antibodies are employed in immunological assays to study disease mechanisms, pathogen interactions, and therapeutic targets.
FUT2 antibodies are pivotal in elucidating the role of FUT2 in:
Lung Adenocarcinoma: FUT2 overexpression correlates with tumor progression. Knockdown reduces cell migration, invasion, and promotes apoptosis by modulating proteins like E-cadherin, MMP2/9, and Bcl-2 .
Inflammatory Bowel Disease (IBD): Non-secretor FUT2 genotypes (lacking HBGA) are linked to IBD risk due to dysregulated gut microbiota .
Viral Susceptibility: Secretors (HBGA-positive) are more susceptible to norovirus and rotavirus infections, while non-secretors show resistance .
FUT2 antibodies aid in studying host-microbe interactions:
Treg Cell Modulation: Secretor FUT2 alleles correlate with higher regulatory T cell (Treg) frequencies, potentially reducing inflammation .
Rotavirus Infection: Anti-rotavirus antibodies are more prevalent in secretors, suggesting FUT2 influences viral attachment and immune responses .
Apoptosis Regulation: FUT2 knockdown upregulates P53 and downregulates Bcl-2, enhancing apoptosis in lung adenocarcinoma cells .
Microbiota Dysbiosis: Non-secretors exhibit reduced Lactobacillus and altered gut microbiota, exacerbating IBD .
Biomarker Development: FUT2 expression levels may serve as prognostic markers for lung cancer .
Vaccine Strategies: FUT2 polymorphisms could inform personalized vaccines for rotavirus and norovirus .
Targeted Therapies: Inhibiting FUT2 may suppress tumor growth in lung adenocarcinoma, though mechanisms require further study .
FUT2’s role in synthesizing α1,2-fucosylated glycans makes it critical for pathogen adhesion studies (e.g., norovirus, rotavirus). Researchers must:
Genotype participants: Classify as secretors (functional FUT2) or nonsecretors (non-functional FUT2) using SNPs like rs601338 or rs1047781 .
Select model systems: Use human intestinal enteroids (HIEs) with CRISPR-edited FUT2 to isolate its role in viral binding/replication .
Control for microbiota: FUT2 status correlates with Faecalibacterium prausnitzii abundance, which modulates regulatory T cells (Tregs) .
Epitope mapping: Use antibodies targeting specific domains (e.g., AA 51-150 for clone 4C12) .
Knockout controls: Compare signals in wild-type vs. CRISPR FUT2-KO cell lines .
Cross-reactivity checks: Test reactivity against homologs (e.g., FUT1) via peptide blocking assays .
Some studies report nonsecretors as resistant to rotavirus, yet others detect infections in this group . Methodological considerations:
Strain specificity: GII.3 norovirus infects some nonsecretor HIEs, unlike GII.4 .
Antibody thresholds: Neutralizing antibody titers vary; use quantitative ELISA (cutoff ≥1/50) to stratify high/low responders .
Microbiota confounders: Analyze fecal F. prausnitzii levels via 16S rRNA sequencing, as they modulate Tregs independently of FUT2 .
SNP association: rs1047781 (T allele) correlates with tumor size/stage in HCC (OR = 1.8, p = 0.022) .
Functional validation: Overexpress FUT2 in HCC cell lines and monitor fucosylation via lectin arrays (e.g., UEA-I binding).
Pathway analysis: Integrate RNA-seq data to identify FUT2-regulated genes (e.g., MMP9, VEGF) .
Co-culture systems: Combine FUT2-KO HIEs with F. prausnitzii to quantify Treg induction (e.g., IL-10 secretion) .
Glycan arrays: Profile FUT2-dependent glycans that bind bacterial adhesins (e.g., Lactobacillus spp.) .
Single-cell RNA-seq: Identify epithelial-immune crosstalk pathways in secretors vs. nonsecretors.
Antibody selection: Use monoclonal antibodies (e.g., clone 4C12) for WB/ELISA with GST-tagged controls .
Statistical rigor: For SNP studies, apply Bonferroni correction (α = 0.0125 for 4 SNPs) to avoid false positives .
Data repositories: Deposit raw sequencing data in ENA (e.g., ERP144000) for reproducibility .