The antibody is validated for:
Western Blotting: Detects phosphorylated ITGB4 in lysates of cancer cells (e.g., pancreatic cancer lines PC-1.0 and AsPC-1) .
Immunohistochemistry: Stains tumor tissues to assess p-ITGB4-Y1510 expression levels .
ELISA: Measures phosphorylated ITGB4 in biological samples .
WB: 1:500–1:3000 (Antibodies Online) / 1:500–1:1000 (Antibodies.com)
IHC: 1:50–1:100 (Antibodies Online)
ELISA: 1:5000 (Antibodies.com)
A landmark study published in BMC Cancer (2020) demonstrated that high p-ITGB4-Y1510 expression correlates with:
Local invasion and distant metastasis in pancreatic cancer .
Poor patient survival: ITGB4 overexpression was linked to reduced 5-year survival rates .
The antibody was used to confirm that phosphorylation at Tyr1510 activates downstream MEK1-ERK1/2 signaling, promoting tumor cell migration and invasion .
Phosphorylation-dependent signaling: ITGB4-Y1510 phosphorylation regulates ERK1/2 activation via MEK1 (T292), but not MEK1 (T386) or MEK2 (T394) .
Therapeutic potential: Inhibiting ITGB4 phosphorylation at Tyr1510 reduced tumor aggressiveness in preclinical models .
| Vendor | Catalog No. | Key Features |
|---|---|---|
| Antibodies Online | ABIN7180035 | Validated for WB, IHC, ELISA; cross-reactive with mouse/rat |
| ARP American Research | CSB-PA254864 | Rabbit polyclonal; optimized for IHC and WB |
| Antibodies.com | A93971 | Detects endogenous p-ITGB4-Y1510; ELISA-validated |
ITGB4 (Ab-1510) Antibody is a rabbit polyclonal antibody that detects endogenous levels of total ITGB4 protein. This antibody is specifically designed to recognize a synthetic non-phosphopeptide derived from human ITGB4 around the phosphorylation site of tyrosine 1510 (R-D-Y-S-T) . The antibody was affinity-purified from rabbit antiserum using epitope-specific immunogen chromatography, ensuring high specificity . ITGB4 is alternatively known as CD104 antigen, GP150, ITB4, integrin beta-4, or integrin beta-4C, and has an SDS-PAGE molecular weight of approximately 202 kDa .
ITGB4 (Ab-1510) Antibody has been validated for multiple research applications:
Western Blotting (WB): Effective at dilutions of 1:1,000-1:2,000
Immunohistochemistry (IHC): Recommended dilutions range from 1:50-1:200
The antibody shows specific reactivity to human samples, with some commercially available variants also exhibiting reactivity to mouse samples . Validation has been performed across multiple cell lines including A549, Jurkat, and BxPC-3 cells, confirming specificity through the observation of the expected molecular weight band (approximately 200-210 kDa) .
For optimal performance and longevity, ITGB4 (Ab-1510) Antibody should be stored at -20°C . The antibody is typically provided in a formulation of rabbit IgG in phosphate-buffered saline (without Mg²⁺ and Ca²⁺), pH 7.4, containing 150mM NaCl, 0.02% sodium azide, and 50% glycerol . This formulation helps maintain antibody stability during storage.
When handling the antibody:
Avoid repeated freeze-thaw cycles
Aliquot the antibody upon first thaw if multiple experiments are planned
Allow the antibody to equilibrate to room temperature before opening the vial
Return to -20°C immediately after use
When diluting, use fresh, cold buffer solutions
The following Western blotting protocol has been validated for ITGB4 (Ab-1510) Antibody:
Sample Preparation and SDS-PAGE:
Prepare cell or tissue lysates using standard lysis buffers
Load 10-40 μg of protein per lane (10 μg shown effective for BxPC-3, SW480, and pancreatic tissue samples)
Separate proteins on an SDS-PAGE gel appropriate for high molecular weight proteins (ITGB4 is approximately 202-210 kDa)
Transfer and Blocking:
Transfer proteins to a nitrocellulose membrane
Block with 5% non-fat dry milk in TBST for 1 hour at room temperature
Antibody Incubation:
Dilute ITGB4 (Ab-1510) Antibody at 1:1,000 in blocking buffer
Incubate overnight at 4°C
Wash four times with TBST
Incubate with HRP-conjugated secondary antibody (Anti-Rabbit IgG) at 1:1,000 dilution for 1 hour at room temperature
Wash four times with TBST
Detection:
Apply ECL substrate and expose
Exposure time of approximately 30 seconds has been effective for standard samples
The predicted band size is 202 kDa, but the observed band typically appears at approximately 210 kDa in most cell lines .
When designing experiments with ITGB4 (Ab-1510) Antibody, the following controls are critical:
Positive Controls:
A431 and A549 cell lines have been validated as positive controls for ITGB4 expression
BxPC-3 (human pancreatic adenocarcinoma cells) and SW480 (human colon adenocarcinoma) cell lysates consistently show robust ITGB4 expression
Human pancreas tissue lysate is an effective positive control for tissue samples
Negative Controls:
ITGB4 knockout cell lines (such as ITGB4 knockout A549 cells) serve as excellent negative controls to confirm antibody specificity
Primary antibody omission control to assess non-specific binding of secondary antibody
Isotype control (rabbit IgG) to evaluate non-specific binding
Loading Controls:
Calnexin (CANX) has been validated as an appropriate loading control when conducting Western blot with ITGB4 antibodies
Additional Validation:
Using siRNA knockdown of ITGB4 (siITGB4) as demonstrated in the literature can further validate antibody specificity in functional studies
For optimal immunohistochemistry results with ITGB4 (Ab-1510) Antibody:
Tissue Preparation:
Fix tissues in 10% neutral buffered formalin
Process and embed in paraffin
Section at 4-6 μm thickness
Antigen Retrieval:
Perform heat-induced epitope retrieval using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0)
Heat at 95-98°C for 15-20 minutes, then cool to room temperature
Staining Protocol:
Block endogenous peroxidase with 3% H₂O₂ for 10 minutes
Apply protein blocking solution for 30 minutes
Dilute ITGB4 (Ab-1510) Antibody at 1:50-1:200 in antibody diluent
Incubate sections overnight at 4°C or 60 minutes at room temperature
Wash thoroughly with PBS or TBS
Apply appropriate HRP-conjugated secondary antibody
Develop with DAB substrate
Tissue Considerations:
Human breast cancer tissue samples have been validated to show clear membrane and cytoplasmic staining for ITGB4
Expression patterns should be evaluated in context of tissue architecture, particularly noting epithelial cell boundaries where ITGB4 is expected to localize in hemidesmosomes
ITGB4 has been identified as a significant oncogenic factor in multiple cancer types. ITGB4 (Ab-1510) Antibody can be employed in several advanced research applications to study its role in cancer:
Expression Analysis Across Cancer Types:
Research has revealed that ITGB4 expression levels are significantly altered in multiple cancer types, including bladder urothelial carcinoma, cervical squamous cell carcinoma, cholangiocarcinoma, colon adenocarcinoma, esophageal carcinoma, glioblastoma, head and neck squamous cell carcinoma, liver hepatocellular carcinoma, lung adenocarcinoma, and pancreatic adenocarcinoma . ITGB4 (Ab-1510) Antibody can be used to:
Compare ITGB4 expression between tumor and adjacent normal tissues
Correlate expression levels with clinical parameters and patient outcomes
Create tissue microarrays for high-throughput analysis across multiple patient samples
Prognostic Value Assessment:
ITGB4 expression correlates with prognosis in several cancers:
ITGB4 (Ab-1510) Antibody can help establish these correlations through immunohistochemical scoring of patient samples.
Functional Studies:
To investigate the mechanistic role of ITGB4, combine ITGB4 (Ab-1510) Antibody with genetic manipulation approaches:
Use siRNA knockdown of ITGB4 (as demonstrated in lung adenocarcinoma cell lines) and confirm knockdown efficiency via Western blot with ITGB4 (Ab-1510) Antibody
Assess phenotypic changes in:
Since ITGB4 (Ab-1510) Antibody specifically recognizes the region around the tyrosine 1510 phosphorylation site, it provides a valuable tool for studying this post-translational modification:
Phosphorylation Status Analysis:
Use phosphatase inhibitors in lysis buffers when preparing samples to preserve phosphorylation status
Compare results with phospho-specific antibodies that recognize only the phosphorylated form of tyrosine 1510
Perform lambda phosphatase treatment on parallel samples to confirm phosphorylation-dependent effects
Signaling Pathway Investigation:
ITGB4 participates in multiple signaling cascades. To investigate these pathways:
Stimulate cells with relevant growth factors known to interact with ITGB4, such as:
Perform co-immunoprecipitation experiments:
Immunoprecipitate with ITGB4 (Ab-1510) Antibody
Probe for interacting partners (NRG1, IGF1, IGF2, ERBB receptors)
Investigate downstream signaling components
Analyze phosphorylation-dependent protein interactions:
Compare wild-type ITGB4 with Y1510F mutants (tyrosine to phenylalanine)
Assess effects on binding partners and downstream signaling
Based on published research using ITGB4 knockdown approaches, several methodological considerations are important:
Knockdown Strategy Selection:
siRNA approach:
Multiple siRNAs targeting different regions of ITGB4 mRNA should be used to confirm specificity
siITGB4#1 and siITGB4#2 have been validated in A549 and PC9 lung adenocarcinoma cell lines
Validate knockdown efficiency via Western blot using ITGB4 (Ab-1510) Antibody
Typical knockdown efficiency should reduce expression by >70%
shRNA approach for stable knockdown:
Consider lentiviral delivery systems for hard-to-transfect cells
Establish stable cell lines through antibiotic selection
Verify sustained knockdown over experimental timeframes
Experimental Design for Functional Studies:
Downstream Molecular Analysis:
After confirming ITGB4 knockdown:
Perform transcriptomic analysis to identify differentially expressed genes
Conduct pathway enrichment analysis:
Validate key altered genes with qRT-PCR and Western blot analysis
ITGB4 primarily pairs with integrin α6 (ITGA6) to form the α6β4 heterodimer. This complex has distinctive functions across tissue types:
Epithelial Tissue Context:
In normal epithelial cells, ITGB4 is a critical structural component of hemidesmosomes
ITGB4 (Ab-1510) Antibody can be used to assess the localization of ITGB4 at the basal surface of epithelial cells where it interacts with basement membrane laminin
Co-staining with hemidesmosome components (such as plectin, BP180, BP230) can reveal proper assembly or dysregulation in pathological conditions
Cancer Context:
During cancer progression, ITGB4 often relocalizes from hemidesmosomes to leading edges of migrating cells
This relocalization coincides with altered signaling functions:
Enhanced cell migration
Increased invasion
Altered growth factor signaling
Methodological Approach to Study Interactions:
Co-immunoprecipitation:
Pull down with ITGB4 (Ab-1510) Antibody
Probe for associated proteins (ITGA6, laminin subunits, signaling molecules)
Proximity Ligation Assay (PLA):
Detect in situ protein-protein interactions between ITGB4 and potential binding partners
Provides spatial information about where interactions occur within cells
Immunofluorescence Co-localization:
Use ITGB4 (Ab-1510) Antibody in combination with antibodies against:
Extracellular matrix components (laminins, particularly laminin-332)
Signaling molecules (EGFR, ErbB2, c-Met)
Cytoskeletal proteins (actin, plectin)
Analyze co-localization coefficients in different cellular regions
Tissue-Specific Expression Pattern Analysis:
Compare ITGB4 localization patterns across multiple tissue types using tissue microarrays
Correlate with pathological features and other molecular markers
When working with ITGB4 (Ab-1510) Antibody, researchers may encounter several technical challenges:
Western Blotting Challenges:
Immunohistochemistry Challenges:
| Issue | Potential Cause | Resolution Strategy |
|---|---|---|
| Weak or absent staining | Insufficient antigen retrieval | Optimize antigen retrieval method (try both citrate and EDTA buffers) |
| Epitope masking | Consider alternative fixation methods for future samples | |
| High background | Ineffective blocking | Increase blocking time, use alternative blocking reagents |
| Secondary antibody cross-reactivity | Use secondary antibody specifically validated for IHC | |
| Non-specific staining | Endogenous peroxidase activity | Ensure thorough quenching with H₂O₂ before antibody incubation |
Validation Strategies:
Use ITGB4 knockout cell lines as negative controls (e.g., ITGB4 knockout A549 cells)
Compare with alternative ITGB4 antibodies targeting different epitopes
Perform peptide competition assays to confirm specificity
Include siRNA knockdown samples as biological validation controls
When interpreting ITGB4 expression data, several contextual factors must be considered:
Cancer Type-Specific Considerations:
ITGB4 expression has distinct prognostic implications across cancer types:
Multi-parameter Analysis Recommendations:
Always perform multivariate analysis considering:
Tumor stage and grade
Patient demographic factors
Other molecular markers
Treatment history
Quantify ITGB4 expression using standardized methods:
For IHC: Use H-score or Allred scoring system
For Western blot: Normalize to validated housekeeping proteins
For qRT-PCR: Use multiple reference genes for normalization
Establish threshold values based on:
ROC curve analysis for outcome prediction
Population distribution (median, quartiles)
Biologically relevant expression levels from functional studies
Integration with Functional Data:
When interpreting ITGB4 expression data, consider the functional evidence showing that ITGB4 knockdown:
These functional effects provide mechanistic context for the prognostic associations observed in clinical samples.
A comprehensive characterization of ITGB4's role requires integration of multiple techniques:
Genomic and Transcriptomic Approaches:
RNA-Seq analysis after ITGB4 knockdown to identify differentially expressed genes
ChIP-Seq to identify transcription factors regulating ITGB4 expression
Single-cell RNA-Seq to characterize ITGB4 expression heterogeneity within tumor samples
Proteomic Approaches:
Mass spectrometry to identify ITGB4 binding partners and post-translational modifications
Reverse phase protein array (RPPA) to assess activation of multiple signaling pathways
Co-immunoprecipitation followed by western blot to confirm specific protein interactions
Functional Genomics:
CRISPR-Cas9 knockout of ITGB4 to create stable cell lines for long-term studies
CRISPR activation or inhibition systems to modulate ITGB4 expression levels
Site-directed mutagenesis of key phosphorylation sites (including Y1510) to assess functional significance
Advanced Imaging Techniques:
Super-resolution microscopy to visualize ITGB4 in hemidesmosomes and other cellular structures
Live-cell imaging with fluorescently tagged ITGB4 to monitor dynamics during cell migration
FRET/FLIM analysis to detect protein-protein interactions in live cells
In Vivo Models:
Patient-derived xenografts (PDX) with variable ITGB4 expression levels
Genetically engineered mouse models with conditional ITGB4 knockout
Orthotopic tumor models to assess metastatic potential in relation to ITGB4 expression
Data Integration Strategy:
When designing multi-omics experiments to study ITGB4:
Establish clear temporal sequence for data collection
Use consistent experimental conditions across platforms
Develop computational pipelines to integrate diverse data types
Validate key findings with orthogonal techniques
Consider pathway-based analysis rather than focusing solely on individual genes/proteins
Emerging research suggests ITGB4 may contribute to treatment resistance in multiple cancer types. ITGB4 (Ab-1510) Antibody can be applied to investigate this relationship through several experimental approaches:
Therapy Response Correlation Studies:
Analyze ITGB4 expression in matched pre- and post-treatment tumor samples
Correlate expression levels with:
Radiotherapy response
Chemotherapy resistance
Targeted therapy outcomes
Immunotherapy efficacy
Mechanistic Investigation:
Create therapy-resistant cell lines and analyze ITGB4 expression changes
Perform ITGB4 knockdown in resistant cells to assess resensitization
Investigate ITGB4-dependent survival pathways activated during treatment
Combination Therapy Approaches:
Test combination of ITGB4-targeting strategies with standard therapies
Evaluate synergistic effects on cell death, migration, and invasion
Analyze pathway alterations using phospho-protein arrays and transcriptomics
Biomarker Development:
Develop standardized IHC protocols using ITGB4 (Ab-1510) Antibody for patient stratification
Establish cutoff values predictive of therapy response
Integrate with other molecular markers for improved predictive power
As cancer research moves toward more comprehensive cellular analysis, ITGB4 (Ab-1510) Antibody can be incorporated into multiplexed techniques with the following considerations:
For Multiplexed Immunofluorescence:
Antibody Validation:
Confirm specificity in single-marker controls
Test for cross-reactivity with other antibodies in the panel
Validate signal after multiple stripping/reprobing cycles
Panel Design:
Select complementary markers (e.g., ITGA6, laminin, epithelial markers)
Choose fluorophores with minimal spectral overlap
Include proper controls for autofluorescence and non-specific binding
Optimization Protocol:
Test antibody in decreasing dilutions (1:50, 1:100, 1:200, 1:500)
Optimize signal amplification requirements
Determine ideal fixation conditions that preserve multiple epitopes
For CyTOF/Mass Cytometry:
Metal Conjugation:
Select metal isotope with minimal spillover to other channels
Validate antibody function after metal conjugation
Titrate to determine optimal concentration
Sample Processing:
Optimize cell fixation to preserve ITGB4 epitope
Develop appropriate permeabilization protocol for internal epitopes
Include barcoding strategy for batch processing
Data Analysis:
Apply dimensionality reduction techniques (t-SNE, UMAP)
Develop gating strategies incorporating ITGB4 expression
Correlate ITGB4 with other markers in identified cell clusters
For Spatial Transcriptomics Integration:
Combine ITGB4 protein detection with mRNA analysis
Correlate protein expression with spatial gene expression patterns
Analyze tumor-stroma interface for ITGB4 expression patterns