APBB1IP, also known as RIAM (Rap1-GTP-interacting adapter molecule), is a cytosolic adaptor protein critical for integrin activation and immune cell function . Antibodies targeting APBB1IP are primarily used to:
Detect APBB1IP expression in tumor tissues and immune cells .
Study its role in Rap1-mediated integrin signaling and cytoskeletal remodeling .
Evaluate correlations between APBB1IP levels and clinical outcomes in cancer .
Pan-Cancer Analysis: APBB1IP upregulation correlates with increased immune infiltration (e.g., CD8+ T cells, NK cells) in BRCA, CESC, HNSC, and SKCM tumors, linked to improved prognosis . Conversely, high APBB1IP expression predicts poor outcomes in LGG and STAD due to pro-tumorigenic immune subsets .
Renal Cell Carcinoma: Circ-APBB1IP overexpression promotes tumor progression and serves as a prognostic biomarker .
Integrin Activation: APBB1IP recruits talin and Rap1 to cell membranes, facilitating integrin-mediated adhesion and actin polymerization .
Immune Regulation: Coexpressed genes in human and murine models are enriched for immune-related pathways (e.g., leukocyte recruitment, complement activation) .
KEGG: dre:393607
UniGene: Dr.88358
APBB1IP is a Rap1-binding protein that functions as a regulator of leukocyte recruitment and pathogen clearance through complement-mediated phagocytosis. Originally identified as a binding partner of amyloid β (A4) precursor protein-binding, family B, member 1 (APBB1), it belongs to the MRL (Mig-10/RIAM/Lamellipodin) family of adaptor proteins . APBB1IP plays crucial roles in integrin activation machinery and is required for Rap1-induced affinity changes in β1 and β2 integrins in T cells, as well as activation of αIIbβ3 integrin in platelets . Recent research has highlighted its importance in cancer research due to its potential role in immune infiltration and as a prognostic biomarker in various cancer types .
Researchers have access to multiple APBB1IP antibodies targeting different epitopes:
N-Terminal antibodies: Target the amino-terminal region of APBB1IP, useful for detecting full-length protein
Internal region antibodies: Recognize sequences within the central portion of the protein
C-Terminal antibodies: Target the carboxy-terminal region (e.g., AA 647-666)
Specific amino acid sequence antibodies: Target defined sequences such as AA 38-87, AA 71-120, or AA 188-421
These antibodies come in various formats including polyclonal and monoclonal varieties with different host species (primarily rabbit and mouse), offering flexibility for different experimental designs .
APBB1IP functions as an intrinsic element of integrin activation machinery. It mediates Rap1-induced affinity changes in integrins, particularly in immune cells. The protein contains a proline-rich region at the C terminus and a highly conserved pattern of 27 amino acids in a predicted coiled-coil region immediately N-terminal to the RA domain . Through these structural elements, APBB1IP participates in:
Activation and modulation of innate immune responses
Regulation of leukocyte recruitment
Facilitation of pathogen clearance via complement-mediated phagocytosis
Cancer cell migration and invasion (APBB1IP-depleted melanoma cells show decreased migration directionality)
When performing Western blotting with APBB1IP antibodies, researchers should follow these methodological guidelines:
Sample preparation: Lyse cells or tissues in a compatible buffer containing protease inhibitors to prevent protein degradation
Antibody concentration: Use APBB1IP antibodies at 0.2-1 μg/mL concentration, though optimal conditions should be determined empirically for each experimental setup
Controls: Include a blocking peptide control (such as catalog no. 33R-8076) to test for antibody specificity
Storage and handling: Store reconstituted antibody at 4°C for short-term use or aliquot and store at -20°C for long-term storage; avoid repeated freeze/thaw cycles
For reconstitution of lyophilized antibody, add 50 μL of distilled water to achieve a final concentration of 1 mg/mL in PBS buffer .
Validating antibody specificity is crucial for reliable results. Researchers should employ multiple approaches:
Blocking peptide assays: Use a specific blocking peptide (like catalog no. 33R-8076) in parallel experiments to confirm signal specificity
Multiple antibody validation: Use antibodies targeting different epitopes of APBB1IP to cross-validate results
Knockout/knockdown controls: Compare results in samples with normal versus reduced APBB1IP expression
Cross-reactivity testing: Verify specificity across species when working with multispecies-reactive antibodies (antibodies are available with reactivity to human, mouse, rat, cow, dog, guinea pig, rabbit, horse, and even zebrafish)
While Western blotting is commonly used, APBB1IP antibodies can be employed in multiple techniques:
Immunohistochemistry (IHC): For tissue section analysis (both frozen and paraffin-embedded sections)
Immunocytochemistry (ICC): For cellular localization studies
Immunoprecipitation (IP): To isolate APBB1IP and its binding partners
Flow cytometry (FACS): For quantitative analysis of APBB1IP in cell populations
ELISA: For quantitative measurement of APBB1IP levels
Immunofluorescence (IF): For subcellular localization studies
Select antibodies specifically validated for your technique of interest, as not all antibodies perform equally across different applications.
APBB1IP shows differential expression patterns across cancer types with significant prognostic implications:
| Cancer Type | APBB1IP Expression | Prognostic Association |
|---|---|---|
| LGG (Lower Grade Glioma) | Variable | Poor prognosis (OS: HR = 1.266, 95% CI 1.075-1.490, p=0.005) |
| UVM (Uveal Melanoma) | Variable | Poor prognosis (OS: HR = 2.173, 95% CI 1.205-3.916, p=0.010) |
| CESC, HNSC, KIRP, SKCM, THYM, UCEC | Variable | Favorable prognosis |
| BLCA, BRCA, COAD, LUAD, LUSC, PAAD, READ | Lower than normal tissue | Various |
| GBM, KIRC, KIRP, STAD | Higher than normal tissue | Various |
The survival advantage or disadvantage associated with APBB1IP expression varies by cancer type. For instance, high expression predicts shorter recurrence-free survival in LGG and PRAD, but better disease-free survival in ACC, CESC, KIRP, and UCEC .
APBB1IP expression shows significant correlation with immune cell infiltration across multiple cancer types:
Negative correlation with tumor purity: In most cancer types, APBB1IP expression negatively correlates with tumor purity, suggesting its expression in tumor tissues may be influenced by infiltrating immune cells
Positive correlation with immune cell infiltration: Higher APBB1IP expression is associated with increased infiltration of immune cells, particularly in:
Specific immune cell associations: APBB1IP expression particularly correlates with CD8+ T cells and NK cells infiltration, suggesting its potential role in cytotoxic anti-tumor immunity
Some cancer types (CHOL, DLBC, MESO, and UVM) showed no significant correlation between APBB1IP expression and immune cell infiltration .
APBB1IP antibodies can provide valuable insights into tumor immune microenvironments through several methodological approaches:
Multiplexed immunohistochemistry: Using APBB1IP antibodies alongside markers for different immune cell populations to characterize spatial relationships between APBB1IP expression and immune infiltrates
Flow cytometry analysis: Determining APBB1IP expression levels in specific immune cell subsets within the tumor microenvironment
Correlation studies: Comparing APBB1IP expression with established immune regulators to understand potential functional relationships
Functional assays: Assessing how antibody-mediated blocking of APBB1IP affects immune cell migration, adhesion, and function within tumor contexts
Research has shown that APBB1IP upregulation correlates with increased immune cell infiltration, particularly CD8+ T cells and NK cells, suggesting APBB1IP may play a role in regulating anti-tumor immune responses .
Investigating APBB1IP's role in integrin activation requires specialized approaches:
Co-immunoprecipitation studies: Use APBB1IP antibodies to pull down protein complexes and identify integrin-associated proteins
Proximity ligation assays: Detect protein-protein interactions between APBB1IP and integrins in situ
Functional blocking studies: Apply APBB1IP antibodies to live cells to determine if they interfere with integrin-dependent processes
Phosphorylation-specific assays: Use phospho-specific antibodies to monitor APBB1IP activation status following integrin stimulation
APBB1IP functions as an intrinsic element of the integrin activation machinery and is required for Rap1-induced affinity changes in β1 and β2 integrins in T cells. It also participates in Rap1-mediated activation of αIIbβ3 integrin in platelets .
Studying APBB1IP's interactions with Rap1 and other partners requires specialized techniques:
Yeast two-hybrid screening: APBB1IP was originally identified as interacting with Rap1 using this approach
GST pull-down assays: Using purified GST-tagged Rap1 protein to capture APBB1IP from cell lysates
FRET/BRET assays: For real-time monitoring of protein-protein interactions in living cells
Protein microarrays: To identify novel interaction partners
Domain-specific antibodies: Using antibodies targeting specific domains of APBB1IP (such as the RA domain) to understand domain-specific interactions
APBB1IP belongs to the MRL family of adaptor proteins with a proline-rich region at the C terminus and a highly conserved pattern of 27 amino acids in a predicted coiled-coil region N-terminal to the RA domain, which are important for its protein interactions .
APBB1IP expression analysis offers significant value for cancer classification and prognosis through several methodological approaches:
Transcriptomic profiling: Analysis of APBB1IP mRNA expression across cancer types using RNA-seq data from databases like TCGA
Immunohistochemical scoring: Development of standardized scoring systems for APBB1IP protein expression in tumor tissues
Multivariate Cox regression models: Construction of prognostic models incorporating APBB1IP expression with other biomarkers
Immune contextualization: Correlation of APBB1IP expression with immune cell infiltration markers for improved prognostic accuracy
Research has demonstrated that APBB1IP expression has prognostic significance in multiple cancer types, though the direction of association varies by cancer. For example, high APBB1IP expression predicts poor prognosis in LGG and UVM but better outcomes in CESC, HNSC, KIRP, SKCM, THYM, and UCEC .
Researchers may encounter several technical challenges when working with APBB1IP antibodies:
Non-specific binding:
Poor signal intensity:
Problem: Weak detection of APBB1IP
Solution: Increase antibody concentration, extend incubation time, enhance detection systems, and ensure proper sample preparation to prevent protein degradation
Inconsistent results across experiments:
Cross-reactivity issues:
Proper experimental controls are essential for reliable results:
Positive controls: Include samples known to express APBB1IP (based on literature or previous experiments)
Negative controls: Include samples known not to express APBB1IP or use knockdown/knockout samples
Blocking peptide controls: Use specific blocking peptides (such as catalog no. 33R-8076) to confirm antibody specificity
Isotype controls: Include appropriate isotype-matched antibodies to control for non-specific binding
Secondary antibody only controls: Omit primary antibody to detect potential non-specific signals from secondary antibodies
Loading controls: For Western blotting, include housekeeping protein detection to normalize protein loading
Interpreting variations in APBB1IP detection requires careful consideration:
Baseline expression differences: Understand that APBB1IP has tissue-specific expression patterns, with higher expression in immune-rich tissues
Cancer-specific alterations: Recognize that APBB1IP expression varies across cancer types, with some showing upregulation (GBM, KIRC, KIRP, STAD) and others downregulation (BLCA, BRCA, COAD, LUAD, LUSC, PAAD, READ)
Correlation with immune infiltration: Consider that APBB1IP expression often correlates with immune cell infiltration, particularly in BRCA, CESC, HNSC, PRAD, SKCM, TGCT, and UCEC
Prognostic implications: Interpret expression levels in the context of cancer-specific prognostic associations (e.g., high expression is associated with poor prognosis in LGG and UVM but better prognosis in CESC, HNSC, KIRP, SKCM, THYM, and UCEC)
Technical considerations: Account for differences in antibody performance across tissue types and fixation methods
Several emerging applications of APBB1IP antibodies present exciting opportunities:
Immune checkpoint therapy response prediction: Investigating APBB1IP expression as a potential biomarker for immunotherapy response
Spatial transcriptomics integration: Combining APBB1IP antibody staining with spatial transcriptomic data to understand its role in the tumor microenvironment architecture
Single-cell analysis: Using APBB1IP antibodies in single-cell protein analysis to understand cell-type specific expression patterns
Therapeutic targeting: Developing function-blocking antibodies targeting APBB1IP for potential therapeutic applications in cancer
Liquid biopsy development: Exploring APBB1IP detection in circulating immune cells as a non-invasive biomarker
APBB1IP research has significant potential to enhance our understanding of tumor immune microenvironments:
Immune cell recruitment mechanisms: APBB1IP's role as a regulator of leukocyte recruitment suggests it may influence immune cell trafficking to tumors
Integrin-mediated immune functions: As an integrin activation regulator, APBB1IP may impact immune cell adhesion, migration, and function within the tumor microenvironment
Prognostic stratification: APBB1IP expression patterns could help stratify patients based on their tumor immune landscape
Therapy response prediction: APBB1IP expression and its correlation with immune infiltrates may predict response to immunotherapies
Novel therapeutic targets: Understanding APBB1IP's role may reveal new targets for enhancing anti-tumor immunity
Research has shown that APBB1IP upregulation correlates with increased immune cell infiltration, particularly CD8+ T cells and NK cells, suggesting it plays a role in regulating anti-tumor immune responses .
Future technological developments could significantly expand APBB1IP antibody applications:
Multiplexed imaging technologies: Advanced multiplexed imaging allowing simultaneous detection of APBB1IP alongside dozens of other markers
Mass cytometry applications: Development of metal-conjugated APBB1IP antibodies for high-dimensional cytometry analysis
In vivo imaging probes: Creation of antibody-based imaging agents for non-invasive visualization of APBB1IP expression
PROTAC/degrader development: Using antibody-derived targeting moieties to develop proteolysis-targeting chimeras for APBB1IP
Nanobody and single-domain antibody formats: Development of smaller antibody formats for improved tissue penetration and novel applications