Host Species: Primarily rabbit-derived polyclonal antibodies .
Molecular Weight: Observed at 40–45 kDa via SDS-PAGE, consistent with its 347-amino acid sequence .
Muscle Function: ITGB1BP2 (melusin) is critical for cardiac hypertrophy in response to mechanical stress, as shown in murine models .
Integrin Interaction: Binds to the cytoplasmic tail of ITGB1, modulating integrin-mediated signaling pathways involved in cell adhesion and migration .
Disease Associations:
Inflammation: Silencing ITGB2 (a gene structurally related to ITGB1BP2) reduced inflammation in murine IBD models, suggesting therapeutic potential for integrin-targeting antibodies .
Cancer Therapy: Function-blocking integrin β1 antibodies (e.g., volociximab) inhibit breast cancer growth in vitro and in vivo, highlighting the relevance of integrin-associated proteins like ITGB1BP2 .
ITGB1BP2 expression correlates with immune cell infiltration in IBD and colitis-associated cancer, making it a candidate biomarker .
Combined with STAT1, ITGB1BP2 shows high diagnostic accuracy (AUC = 0.853) for differentiating IBD patients from controls .
Antibody-Drug Conjugates: ITGB1BP2-targeting antibodies could enhance drug delivery to integrin-rich tumors .
Inflammation Modulation: Targeting ITGB1BP2 pathways may alleviate IBD symptoms, as demonstrated by siRNA-mediated silencing in mice .
Cross-Reactivity: Antibodies may recognize splice variants (e.g., isoforms lacking CHORD domains) .
Species Specificity: Most antibodies are validated for human, mouse, and rat tissues but lack data for non-model organisms .
ITGB1BP2, also known as Melusin 2, is an integrin beta 1 binding protein with a calculated molecular weight of approximately 38 kDa, though it is typically observed at 40-45 kDa in experimental conditions . This protein plays significant roles in cardiac and muscle tissue biology, making it an important target for cardiovascular and musculoskeletal research. The antibodies targeting this protein are essential tools for investigating its expression, localization, and functional relationships in various experimental models and human tissues.
Based on the search results, researchers have access to several types of ITGB1BP2 antibodies with different characteristics:
Polyclonal antibodies: Such as ABIN204995 (rabbit-derived, targeting N-term) and 21359-1-AP (rabbit-derived)
Monoclonal antibodies: Including those targeting specific amino acid regions like AA 246-319
Conjugated and non-conjugated formats: Most common are unconjugated, but HRP-conjugated options exist for certain applications
These antibodies vary in their targeting epitopes (N-terminal, C-terminal, or specific amino acid sequences), making them suitable for different experimental needs and protein conformations .
When selecting an ITGB1BP2 antibody, consider these critical factors:
Species reactivity: Different antibodies show specific reactivity patterns. For example, ABIN204995 reacts with human, mouse, rat, rabbit, bat, and monkey samples , while 21359-1-AP demonstrates reactivity with human, mouse, and rat samples .
Application compatibility: Determine whether your intended application (WB, IHC, ELISA, IF/ICC) is validated for the antibody. For instance, 21359-1-AP is validated for WB (1:500-1:1000 dilution) and IF/ICC (1:10-1:100 dilution) .
Epitope targeting: Consider whether the antibody's epitope (N-terminal vs. C-terminal) is accessible in your experimental conditions, especially if you're working with protein fragments or in conditions that might affect protein conformation .
Validation data: Review existing validation data for your tissue or cell type of interest before making a selection .
Sample preparation varies by application:
For Western Blotting:
Use fresh tissue samples (heart tissue shows good ITGB1BP2 expression)
Follow standard protein extraction protocols with protease inhibitors
Protein denaturation conditions should be optimized as ITGB1BP2's observed molecular weight (40-45 kDa) differs slightly from its calculated weight (38 kDa)
For Immunofluorescence/ICC:
Standard fixation protocols (4% paraformaldehyde) are suitable
Permeabilization and blocking steps are critical for reducing background
For Immunohistochemistry:
Both fresh-frozen and paraffin-embedded sections can be used
Antigen retrieval may be necessary for optimal epitope accessibility, especially for paraffin sections
For challenging samples, consider these optimization strategies:
Dilution optimization: Though recommended dilutions exist (e.g., 1:500-1:1000 for WB with 21359-1-AP ), systematic titration experiments are necessary for each specific experimental system.
Signal enhancement techniques:
For WB: Extended exposure times, more sensitive detection systems
For IHC/IF: Amplification systems (tyramide, polymer-based)
Increased antibody incubation times at lower temperatures (e.g., overnight at 4°C)
Background reduction strategies:
More stringent washing procedures
Optimized blocking buffers (testing BSA vs. serum-based blockers)
Pre-adsorption with relevant tissues if cross-reactivity is suspected
Sample-specific protocols: As noted in the antibody documentation, "Sample-dependent, Check data in validation data gallery" , indicating the need for optimization based on specific sample types.
Common challenges include:
Multiple banding patterns in Western blots:
Low signal intensity:
Increase protein loading (for WB) or antibody concentration
Optimize antigen retrieval methods for IHC/IF
Consider enhanced detection systems
Non-specific binding:
Perform careful blocking optimization
Include appropriate negative controls (isotype controls, secondary-only controls)
Consider using tissue from knockout models if available
Cross-reactivity with unexpected species:
Rigorous validation should include:
Multiple detection methods:
Appropriate controls:
Expected molecular weight verification:
Cross-reference with published literature and antibody validation repositories
When facing contradictory results:
Technical verification:
Repeat experiments with freshly prepared reagents
Test multiple antibody lots or sources
Verify experimental conditions match those in referenced studies
Biological explanations:
Consider cell/tissue-specific expression patterns
Evaluate potential post-translational modifications affecting epitope accessibility
Examine potential splice variants or isoforms
Methodological differences:
Analyze differences in sample preparation, fixation, or extraction methods
Compare antibody clones, epitopes, and host species used in conflicting studies
Evaluate differences in detection methods or sensitivity
Confirming results with orthogonal techniques:
mRNA expression analysis (qPCR, RNA-seq)
Mass spectrometry-based proteomics
Functional assays to correlate with antibody-based detection
Strategies for multiplexed analysis include:
Multi-color immunofluorescence:
Combining ITGB1BP2 detection with other markers of interest
Requires careful selection of secondary antibodies with minimal spectral overlap
Consider sequential detection protocols if antibody host species are limiting
Co-immunoprecipitation studies:
ITGB1BP2 antibodies can be used to pull down protein complexes
Can reveal interaction partners and complex formation
Requires validation of antibody efficacy in non-denaturing conditions
Tissue microarray analysis:
High-throughput screening of ITGB1BP2 expression across multiple samples
Allows for standardized comparison across tissue types or disease states
Requires optimization of IHC conditions for consistent results
Flow cytometry applications:
Though not specifically mentioned in the search results, protocols could be optimized for flow cytometric detection in suitable cell types
For quantitative applications:
Standardization approaches:
Use calibrated protein standards for Western blot quantification
Include internal loading controls (housekeeping proteins) for normalization
Prepare standard curves with recombinant ITGB1BP2 protein for ELISA applications
Image analysis for IHC/IF:
Standardized acquisition parameters (exposure time, gain settings)
Appropriate background subtraction methods
Computer-assisted quantification of staining intensity and localization
Quantitative ELISA techniques:
Statistical considerations:
Power analysis to determine appropriate sample sizes
Appropriate statistical tests for experimental design
Methods for handling outliers and non-normal distributions