ITGB7 antibodies bind to the integrin β7 subunit, a transmembrane glycoprotein encoded by the ITGB7 gene. This subunit pairs with α4 (CD49d) or αE (CD103) subunits to form heterodimers (α4β7 and αEβ7), which mediate leukocyte adhesion to endothelial and epithelial cells .
α4β7: Facilitates lymphocyte homing to gut-associated lymphoid tissue (GALT) via interactions with mucosal addressin cell adhesion molecule-1 (MAdCAM-1) .
αEβ7: Mediates retention of intraepithelial T lymphocytes (IELs) in the intestinal epithelium through E-cadherin binding .
| Domain | Function |
|---|---|
| I-like domain | Ligand binding (with α subunit) |
| Hybrid domain | Conformational regulation |
| PSI domain | Structural stability |
| EGF domains (1–4) | Extracellular flexibility |
| Transmembrane domain | Anchoring to cell membrane |
| Cytoplasmic tail | Intracellular signaling |
ITGB7 antibodies (e.g., clone FIB504) typically target extracellular epitopes, blocking ligand interactions .
Clone FIB504: Rat IgG2a κ monoclonal antibody (≥5.0 mg/ml concentration, endotoxin <2.0 EU/mg) .
Applications: Flow cytometry (≤0.5 µg/10⁶ cells), in vivo functional blocking, immunoprecipitation .
ITGB7 antibodies are widely used to study immune cell migration and inflammatory pathways:
Mechanism: β7 integrins regulate T-cell homing to the gut. Blocking α4β7 with antibodies (e.g., vedolizumab) reduces inflammation but may deplete colonic regulatory T cells (Tregs), exacerbating colitis in some cases .
Animal Models: Itgb7−/− mice showed:
Vedolizumab: FDA-approved α4β7 blocker for IBD. High doses may worsen colitis via Treg loss .
Clinical Trials: Anti-β7 antibodies (e.g., etrolizumab) are under investigation for IBD treatment .
Specificity: Cross-reactivity with murine β7 limits translational studies .
Dosing Risks: Excessive β7 blockade may impair mucosal immunity, as seen in Itgb7−/− mice .
ITGB7 (Integrin Beta 7) is a single-pass type I membrane protein belonging to the integrin beta chain family. It plays critical roles in leukocyte adhesion, signaling, proliferation, and migration by forming heterodimers with specific alpha integrin subunits. Most notably, ITGB7 associates with integrin alpha 4 (CD49d) to form the alpha 4 beta 7 integrin (LPAM-1) expressed on intraepithelial lymphocytes, and with alpha E (CD103) to form the alpha E beta 7 integrin (HML-1) expressed on T cells adjacent to mucosal epithelium .
The importance of ITGB7 in immunological research stems from its role in mediating the trafficking of immune cells to the gut mucosa. The alpha 4 beta 7 integrin binds to ligands including VCAM-1 (CD106), MAdCAM-1, and fibronectin, while alpha E beta 7 primarily binds to E-cadherin (CD324) . These interactions facilitate leukocyte adhesion to endothelial cells and promote transmigration to extravascular spaces during inflammatory responses, making ITGB7 a key target in studies of inflammatory bowel diseases, mucosal immunity, and targeted therapeutics .
ITGB7 antibodies are utilized across multiple experimental applications:
The appropriate application depends on experimental goals, with flow cytometry being particularly valuable for analyzing expression on immune cell subsets and Western blotting for confirming antibody specificity and protein molecular weight .
For initial characterization studies, polyclonal antibodies may offer advantages in detecting native protein under various conditions, while monoclonal antibodies are preferred for consistent results in quantitative analyses and therapeutic applications .
Optimizing ITGB7 antibody concentration for Western blot requires systematic titration to balance signal strength with background:
Initial titration: Test a range of dilutions (e.g., 1:200, 1:500, 1:1000, 1:2000) using positive control samples like THP-1 cells, K-562 cells, or mouse spleen tissue, which are known to express ITGB7 .
Loading control: Include 40-50 μg of total protein per lane with appropriate molecular weight markers to identify the expected 87-100 kDa ITGB7 band .
Blocking optimization: Use 5% non-fat dry milk or BSA in TBST buffer; for phospho-specific detection, BSA is preferred over milk proteins.
Incubation conditions: Test both overnight incubation at 4°C and 1-2 hours at room temperature to determine optimal signal-to-noise ratio.
Secondary antibody selection: Use HRP-conjugated anti-rabbit IgG for polyclonal antibodies (typically at 1:5000-1:10000 dilution) .
Exposure time adjustment: Begin with 10-minute exposure and adjust based on signal intensity .
Validation: Confirm specificity by including negative control samples and/or using reducing vs. non-reducing conditions to verify expected molecular weight.
For challenging samples, membrane stripping and reprobing may be necessary, though this can reduce signal intensity with each cycle. In quantitative studies, consider using digital imaging systems rather than film for more accurate densitometric analysis .
Effective ITGB7 immunohistochemistry requires careful sample preparation:
Fixation protocol:
For formalin-fixed paraffin-embedded (FFPE) tissues: Fix in 10% neutral buffered formalin for 24-48 hours
For frozen sections: Flash freeze in OCT compound and prepare 5-8 μm sections
Antigen retrieval methods:
Blocking procedure:
Block endogenous peroxidase activity with 3% H₂O₂ in methanol for 10 minutes
Block non-specific binding with 5-10% normal serum (species of secondary antibody) in PBS containing 0.1% Triton X-100
Antibody incubation:
Detection system:
Positive control tissues should include human tonsillitis tissue, which has been validated for ITGB7 detection . When working with mucosal tissue samples, special attention should be paid to mucin interference by extending washing steps .
Reliable positive controls for ITGB7 antibody validation vary by application:
For negative controls, consider using tissues known to have low ITGB7 expression or cells treated with ITGB7-specific siRNA. Additionally, isotype controls (e.g., rabbit IgG or mouse IgG matched to the primary antibody) should be included in experimental design to assess non-specific binding, particularly in flow cytometry applications .
Studying gut-homing lymphocyte trafficking in IBD models using ITGB7 antibodies requires a multi-faceted approach:
Flow cytometric profiling:
Panel design: Combine anti-ITGB7 (clone FIB504 at ≤0.125 μg per test) with markers for T cell subsets (CD4, CD8), memory phenotype (CD45RA, CD45RO), and gut-homing receptors (CCR9)
Sample preparation: Isolate lymphocytes from peripheral blood, mesenteric lymph nodes, and intestinal lamina propria
Analysis: Quantify the percentage of α4β7⁺ cells within each subset and monitor changes during disease progression
In vivo trafficking studies:
Adoptive transfer: Label lymphocytes with fluorescent dyes (CFSE) before transfer into recipient animals
Tracking: Use anti-ITGB7 antibodies to identify transferred cells in gut tissues
Functional blockade: Administer blocking ITGB7 antibodies (such as vedolizumab analogues) to assess impact on lymphocyte homing
Ex vivo adhesion assays:
Endothelial binding: Culture primary intestinal endothelial cells or MAdCAM-1 expressing cell lines
Quantification: Measure adhesion of lymphocytes pre-treated with anti-ITGB7 blocking antibodies versus controls
Shear stress conditions: Perform assays under static and flow conditions to mimic physiological environments
Tissue analysis:
Sequential immunohistochemistry: Perform ITGB7 staining followed by markers of inflammation
Confocal microscopy: Co-localize ITGB7⁺ cells with adhesion molecules (MAdCAM-1, VCAM-1)
Computational analysis: Quantify the spatial distribution of ITGB7⁺ cells relative to inflammatory foci
Therapeutic intervention assessment:
Time-course studies: Monitor ITGB7 expression before, during, and after therapeutic interventions
Dose-response: Evaluate the relationship between anti-integrin antibody dosage and trafficking inhibition
Combination approaches: Analyze synergistic effects of targeting multiple adhesion pathways
This approach allows for comprehensive assessment of how ITGB7-mediated trafficking contributes to disease pathogenesis and response to therapy .
Analyzing distinct ITGB7-containing integrin complexes requires careful experimental design:
Antibody selection strategies:
ITGB7-specific antibodies: Detect both α4β7 and αEβ7 complexes
Complex-specific antibodies: Use antibodies against conformational epitopes formed by specific αβ pairs
Paired detection: Combine anti-ITGB7 with either anti-CD49d (α4) or anti-CD103 (αE) antibodies
Humanized therapeutic antibodies: Some, like vedolizumab (TAB-H75), specifically target the α4β7 heterodimer
Flow cytometry panel design:
Three-color approach: Anti-ITGB7 + anti-CD49d + anti-CD103 to distinguish populations
Gating strategy: Identify CD49d⁺ITGB7⁺ (α4β7) vs. CD103⁺ITGB7⁺ (αEβ7) populations
Controls: Include FMO (fluorescence minus one) controls for accurate gate placement
Functional discrimination:
Ligand binding assays: α4β7 binds MAdCAM-1 and VCAM-1, while αEβ7 binds E-cadherin
Differential blocking: Use ligand-specific blocking antibodies to distinguish functions
Cell type correlation: αEβ7 is predominantly expressed on intraepithelial lymphocytes, while α4β7 is more broadly expressed on circulating lymphocytes
Tissue distribution analysis:
Sequential IHC: Stain consecutive sections with ITGB7, CD49d, and CD103 antibodies
Multiplex IF: Use differently labeled antibodies against ITGB7, CD49d, and CD103
Quantitative analysis: Calculate co-localization coefficients to determine heterodimer distribution
Technical challenges and solutions:
Epitope masking: Some complex conformations may mask epitopes; test multiple antibody clones
Activation-dependent expression: Use both resting and activated lymphocytes in analyses
Detergent sensitivity: Some epitopes are sensitive to detergent solubilization; optimize lysis conditions
These approaches allow researchers to distinguish between the gut-homing α4β7 integrin and the tissue-retention αEβ7 integrin, which have distinct functions in mucosal immunology .
Evaluating anti-integrin therapeutic efficacy using ITGB7 antibodies involves multiple analytical approaches:
Target engagement assessment:
Receptor occupancy assay: Measure binding competition between therapeutic antibody and detection antibody
Flow cytometry: Quantify percentage of α4β7⁺ cells with accessible (unoccupied) epitopes
Experimental design: Compare pre- and post-treatment samples to determine occupancy kinetics
Functional blocking validation:
Pharmacodynamic biomarkers:
Circulating lymphocytes: Monitor changes in peripheral blood α4β7⁺ lymphocyte counts
Tissue infiltration: Quantify reduction in ITGB7⁺ cells in intestinal biopsies using IHC
Inflammation markers: Correlate ITGB7⁺ cell changes with inflammatory cytokine levels
Treatment regimen optimization:
Dose-response studies: Establish relationship between antibody dose and receptor occupancy
Dosing interval assessment: Determine duration of target engagement to inform dosing frequency
Combination strategy: Evaluate synergistic effects with other immunomodulatory approaches
Resistance mechanism investigation:
Epitope analysis: Detect mutations or conformational changes affecting therapeutic binding
Alternative pathway upregulation: Monitor compensatory increases in other adhesion molecules
Sequential therapy response: Assess cross-resistance between different anti-integrin therapeutics
This methodological framework allows for comprehensive assessment of anti-integrin therapeutic candidates, facilitating translational research toward clinical applications in inflammatory bowel diseases and other immune-mediated conditions .
For quantitative applications, always include concentration curves of positive control samples to establish assay linearity and dynamic range .
When faced with discrepancies in ITGB7 detection across antibodies or methods, consider this systematic approach:
Epitope mapping analysis:
Methodological differences:
Native vs. denatured protein detection: Western blot detects denatured protein, while flow cytometry and IF detect native conformation
Sample preparation effects: The ITGB7 conformation in FFPE tissues differs from frozen sections
Buffer compatibility: Some antibodies perform better in specific buffer systems
Validation hierarchy:
Quantitative considerations:
Different antibodies may have varying affinities affecting detection threshold
Establish standard curves with recombinant protein for absolute quantification
When comparing results, normalize to common positive controls
Biological variables:
Heterodimer formation affects epitope accessibility (α4β7 vs. αEβ7)
Activation state alters integrin conformation and antibody binding
Post-translational modifications (glycosylation) may mask epitopes
Reporting guidelines:
Document complete antibody information (clone, catalog number, lot)
Specify exact experimental conditions and image acquisition parameters
Present data from multiple antibodies when discrepancies exist
When publishing, acknowledge limitations and potential causes of discrepancies rather than selectively reporting concordant results .
Implementing rigorous quality control for ITGB7 antibody validation ensures experimental reliability:
Physicochemical characterization:
Immunoreactivity testing:
Specificity validation:
Application-specific controls:
Stability assessment:
Documentation requirements:
Certificate of analysis: Maintain records showing lot-specific QC results
Validation report: Document all testing parameters, acceptance criteria, and results
Reference standards: Maintain aliquots of reference lots for future comparisons
Implementing these quality control measures reduces experimental variability and increases confidence in research findings using ITGB7 antibodies .
ITGB7 antibodies offer powerful capabilities for dissecting mucosal immune heterogeneity at single-cell resolution:
Single-cell flow cytometry applications:
Tissue-based spatial analysis:
Multiplex immunofluorescence: Combine ITGB7 with lineage markers, activation markers, and adhesion molecules
Imaging mass cytometry: Incorporate metal-conjugated ITGB7 antibodies for high-parameter tissue imaging
Digital spatial profiling: Analyze ITGB7⁺ cell distribution relative to tissue niches
Function-phenotype correlation:
Live cell imaging: Track ITGB7⁺ lymphocyte migration in tissue explants
Calcium flux assays: Measure signaling in ITGB7⁺ vs. ITGB7⁻ cells upon activation
Cytokine secretion analysis: Correlate ITGB7 expression with functional output at single-cell level
Technical considerations:
Antibody panel design: Place ITGB7 in appropriate fluorochrome channel based on expression level
Dissociation protocols: Optimize tissue digestion to preserve ITGB7 epitopes
Fixation compatibility: Validate ITGB7 antibody performance with fixation needed for intracellular markers
Computational analysis approaches:
Dimensionality reduction: Visualize ITGB7⁺ populations using tSNE or UMAP
Trajectory inference: Map developmental relationships of ITGB7-expressing cells
Spatial statistics: Quantify clustering and interaction patterns of ITGB7⁺ cells in tissues
These approaches enable researchers to uncover previously unappreciated heterogeneity within mucosal immune populations and link ITGB7 expression to functional specialization .
ITGB7 antibodies provide valuable tools for enhancing intestinal organoid models of mucosal immunity:
Organoid-immune cell co-culture optimization:
Selection of lymphocytes: Isolate ITGB7⁺ lymphocytes by flow cytometry for co-culture with intestinal organoids
Migration assessment: Quantify ITGB7-dependent homing of lymphocytes to organoids
Adhesion blockade: Use blocking antibodies to modulate immune cell-organoid interactions
Functional readouts:
Live imaging: Track labeled ITGB7⁺ cells interacting with organoid structures
Barrier function: Measure how ITGB7⁺ cell incorporation affects epithelial integrity
Cytokine production: Analyze secretory profiles of organoids with integrated ITGB7⁺ populations
Disease modeling applications:
Inflammatory conditions: Recreate IBD microenvironments by combining patient-derived organoids with ITGB7⁺ cells
Therapeutic testing: Evaluate anti-integrin therapies in organoid-immune cell systems
Host-microbe interactions: Study how ITGB7-mediated immune positioning affects response to microbial stimuli
Analytical approaches:
Flow cytometry: Dissociate co-cultures and analyze changes in ITGB7 expression
Confocal microscopy: Visualize ITGB7⁺ cell distribution within 3D organoid structures
Transcriptional profiling: Compare gene expression in organoids with vs. without ITGB7⁺ cell incorporation
Technical optimizations:
Antibody penetration: Optimize staining protocols for intact 3D structures
Fixation compatibility: Test fixatives that preserve both organoid architecture and ITGB7 epitopes
Long-term monitoring: Develop strategies for repeated imaging of the same organoid-immune cell cultures
This emerging research area bridges the gap between traditional 2D culture systems and in vivo models, offering new insights into ITGB7-mediated immune-epithelial interactions .
Integrating ITGB7 antibodies into multi-omic approaches enables comprehensive profiling of tissue-resident immune populations:
Combined protein-transcriptome approaches:
CITE-seq workflow: Conjugate ITGB7 antibodies to oligonucleotide barcodes for combined protein-RNA profiling
Cell isolation strategy: Sort ITGB7⁺ vs. ITGB7⁻ populations before single-cell RNA sequencing
Computational integration: Correlate ITGB7 protein levels with gene expression patterns
Spatial multi-omics integration:
Sequential workflows: Perform imaging with ITGB7 antibodies followed by spatial transcriptomics
Registration algorithms: Align ITGB7 protein data with spatial gene expression maps
Cell type deconvolution: Use ITGB7 as a marker for identifying specific immune subsets in spatial data
Epigenome-proteome correlation:
ATAC-seq with protein detection: Profile chromatin accessibility in ITGB7-defined populations
CyTOF followed by ChIP-seq: Isolate ITGB7⁺ subsets for histone modification analysis
Multi-modal data integration: Develop analytical frameworks to connect ITGB7 expression with chromatin states
Methodological considerations:
Sample processing compatibility: Optimize protocols to preserve both protein epitopes and nucleic acid integrity
Antibody performance: Validate ITGB7 antibody specificity in multi-omic workflows
Batch effect management: Implement controls to align data across different analytical platforms
Computational analysis frameworks:
Multi-modal clustering: Identify cell states based on integrated ITGB7 protein and gene expression data
Trajectory reconstruction: Map developmental relationships with ITGB7 as a key feature
Systems biology modeling: Incorporate ITGB7 data into network analyses of mucosal immunity
This multi-omic approach provides unprecedented resolution of the biological context in which ITGB7 functions, connecting molecular profiles to cellular identities and tissue localization .