EGFL7 is implicated in vascular tubulogenesis, endothelial cell adhesion, and anti-inflammatory responses. The FITC-conjugated antibody facilitates studies on EGFL7’s spatial and functional roles:
EGFL7 inhibits PDGF-BB-induced smooth muscle cell migration and promotes endothelial cell adhesion to the extracellular matrix (ECM), supporting angiogenesis . The FITC-conjugated antibody could be used to:
Track EGFL7 localization in endothelial sprouts during angiogenesis .
Co-stain with integrin α5β1 to study EGFL7-integrin interactions, as EGFL7 enhances α5β1 surface expression to promote endothelial cell-ECM adhesion .
EGFL7 suppresses ICAM-1 expression by blocking NF-κB nuclear translocation, reducing endothelial inflammation during hypoxia/reoxygenation (H/R) injury . Applications include:
Quantifying EGFL7 expression in endothelial cells exposed to H/R injury to assess its protective role .
Investigating EGFL7’s modulation of macrophage adhesion in cardiac pressure overload models .
EGFL7 promotes glioma vascularization by enhancing α5β1-mediated endothelial cell adhesion to fibronectin . The antibody may be used to:
Map EGFL7 distribution in tumor vasculature to guide anti-angiogenic therapies .
Study EGFL7’s role in combination therapies (e.g., anti-VEGF + anti-EGFL7) to enhance tumor vascular damage .
While dilution guidelines for the FITC-conjugated antibody are not explicitly provided, general protocols for EGFL7 antibodies include:
| Application | Typical Dilution Range | Controls |
|---|---|---|
| Immunofluorescence (IF) | 1:50–1:500 | Secondary antibody-only negative control |
| Flow Cytometry | N/A | Isotype-matched IgG-FITC control |
The antibody’s reactivity is validated for human samples , but cross-reactivity with other species (e.g., mouse, rat) requires experimental confirmation. For example, EGFL7 antibodies from other vendors (e.g., CAB9376) show reactivity with mouse and rat , but this is not stated for the FITC-conjugated variant.
EGFL7 administration reduces ICAM-1 expression and NF-κB activation in coronary endothelial cells during H/R injury . A FITC-conjugated antibody could:
Visualize EGFL7’s subcellular localization during NF-κB inhibition.
EGFL7 inhibition reduces glioma vascularization and enhances survival when combined with anti-VEGF therapy . The antibody may:
Detect EGFL7 in glioma-associated endothelial cells to assess therapeutic efficacy.
EGFL7 regulates brain lymphatic endothelial cell (BLEC) migration and loop formation via integrin αvβ3 . The antibody could:
Track EGFL7 expression in zebrafish or murine models of lymphatic development.
EGFL7 (Epidermal Growth Factor-like domain 7), also known as VE-statin, is a secreted protein specifically expressed by endothelial cells in normal tissues and by cancer cells in various human tumors . This protein plays critical roles in vascular development and angiogenesis. EGFL7 is particularly significant in oncology research because high levels correlate with higher tumor grade and poorer prognosis . EGFL7 functions as an extracellular matrix-associated protein expressed in activated endothelium, supporting endothelial cell adhesion and protecting endothelial cells from stress-induced apoptosis . Its ability to modulate tumor microenvironment by reducing immune cell infiltration makes it a valuable target for cancer immunotherapy studies . Researchers typically target EGFL7 to understand angiogenic mechanisms and potential therapeutic applications in cancer treatment.
For effective immunofluorescence with FITC-conjugated EGFL7 antibody, researchers should implement the following protocol:
Fix tissue sections with paraformaldehyde (PFA) as demonstrated in the literature for EGFL7 staining
When working with frozen sections, ensure proper cryoprotection to preserve antigen integrity
During antibody incubation, use a concentration of approximately 0.1 μg of affinity-purified anti-EGFL7 antibody, similar to protocols established for rabbit anti-EGFL7 antibody
Include appropriate blocking steps (typically 5-10% normal serum from the same species as the secondary antibody) to minimize non-specific binding
For co-localization studies with endothelial markers like CD31, consider sequential staining approaches to avoid cross-reactivity
Image using confocal or fluorescence microscopy systems capable of detecting FITC signal (such as Zeiss Z1 Axioimager with Apotome mentioned in the literature)
This approach enables precise localization of EGFL7 in blood vessels, particularly in large vessels with distinct lumen which typically show strong EGFL7 signals .
Quantitative analysis of EGFL7 expression in tumor vasculature requires a systematic approach:
Use automated image analysis software (such as Imaris, mentioned in the studies) to quantify microvascular density based on CD31 and EGFL7 co-staining
Employ a standardized scoring system to categorize blood vessels as EGFL7-positive or negative
Calculate the percentage of EGFL7-positive intratumoral blood vessels (research shows approximately 25-40% positive vessels in glioma specimens)
For comparative analysis, use statistical methods to correlate EGFL7 expression with other vascular parameters such as pericyte coverage, vessel maturity, and leakiness
Consider 3D reconstruction of confocal z-stacks to better visualize the spatial distribution of EGFL7 in complex vascular networks
For temporal studies, establish consistent imaging parameters across timepoints to enable valid comparisons
This quantitative approach allows researchers to evaluate how EGFL7 expression correlates with vascular morphology, maturity, and functional properties within the tumor microenvironment.
When studying angiogenesis with EGFL7 antibody in preclinical models, researchers should address:
Model selection: Different tumor models exhibit varying degrees of EGFL7 expression and vascular phenotypes. Both cell line-derived xenografts and patient-derived models should be considered
Timing of analysis: Vascular development is dynamic; therefore, multiple timepoints should be analyzed to capture the evolving role of EGFL7 in vessel formation
Combined markers: Always co-stain with endothelial markers (CD31) to distinguish EGFL7 expression in tumor vessels versus tumor cells
Functional correlation: Combine EGFL7 immunostaining with functional vascular assessment using contrast agents (e.g., Gadovist used in studies) to correlate expression with vessel leakiness and maturity
Treatment effects: When testing anti-angiogenic therapies, compare EGFL7 expression before and after treatment to understand therapy-induced changes
Validation approaches: Use multiple antibody clones to confirm staining patterns, as demonstrated in studies that achieved 100% overlap with alternative anti-EGFL7 antibodies from different sources
These considerations help ensure robust and reproducible data when investigating EGFL7's role in tumor angiogenesis.
Designing robust experiments to evaluate anti-EGFL7 and anti-angiogenic combination therapies requires:
This comprehensive approach captures the multifaceted effects of targeting EGFL7 in combination with other angiogenesis inhibitors.
To ensure specificity of EGFL7 antibody staining, researchers should implement:
Multiple antibody validation: Use alternative anti-EGFL7 antibodies from different sources and confirm signal overlap; 100% overlap between antibodies provides strong validation
Peptide competition assays: Pre-incubate antibody with excess recombinant EGFL7 protein to demonstrate specific blocking of staining
Genetic controls: Compare staining in tissues with genetic manipulation of EGFL7 expression (e.g., knockout models or cells with ectopic EGFL7 expression)
Cross-species reactivity testing: Confirm consistent staining patterns across species if the antibody is designed to recognize conserved epitopes
Correlation with transcript expression: Validate protein detection with mRNA expression using techniques like qRT-PCR with primers such as 5′-TGCGACGGACACAGAGCCTGCA-3′ and 5′-CAAGTATCTCCCTGCCATCCCA-3′
Western blot correlation: Confirm antibody specificity by western blot analysis of tissues or cells with varying EGFL7 expression levels
These validation approaches are essential for ensuring the reliability of experimental findings based on EGFL7 immunofluorescence.
Distinguishing between EGFL7 and miR-126 effects requires specialized approaches:
Targeted genetic models: Generate models with selective targeting of either EGFL7 coding sequence or miR-126 while preserving the other element
Rescue experiments: Perform complementation studies where either EGFL7 or miR-126 is reintroduced in knockout models to determine which rescues specific phenotypes
Expression analysis: Use specific detection methods for each molecule:
Temporal expression mapping: Analyze the developmental timing of expression changes, as EGFL7 and miR-126 may have distinct temporal patterns
Cell-specific analysis: Determine whether expression patterns differ across cell types, such as between circulating progenitor cells and endothelial cells
Functional assays: Develop read-outs specific to each molecule's proposed functions to separate their biological effects
This systematic approach helps delineate the contributions of EGFL7 protein versus the intronic miR-126 in complex vascular phenotypes.
When incorporating FITC-conjugated EGFL7 antibody in multiparameter flow cytometry, researchers should address:
Spectral overlap: Account for FITC's emission spectrum (peak ~520nm) when designing panels to minimize spillover with other fluorochromes
Titration optimization: Determine optimal antibody concentration to achieve maximum signal-to-noise ratio for specific cell populations
Appropriate controls:
Include FMO (fluorescence minus one) controls to establish gating boundaries
Use isotype controls conjugated to FITC to assess non-specific binding
Compensation: Perform proper compensation, especially for adjacent channels (PE, PerCP)
Cell preparation protocol: For intracellular EGFL7 detection, optimize fixation and permeabilization protocols that preserve both EGFL7 epitopes and surface markers
Target population identification: Use appropriate markers to identify relevant cell populations, such as:
Data analysis approach: Implement consistent gating strategies across experiments and consider dimensional reduction techniques for complex datasets
These considerations ensure reliable detection of EGFL7-expressing cells in heterogeneous populations.
EGFL7 antibodies can be effectively implemented for CPC biomarker analysis through:
This approach leverages CPCs as a pharmacodynamic marker for interrogating in vivo activities of anti-EGFL7 therapeutics, as demonstrated in both preclinical models and phase I clinical trials .
To effectively characterize EGFL7's role in endothelial stress responses, researchers should employ:
In vitro stress models: Subject endothelial cells to relevant stressors:
Serum starvation to mimic nutrient deprivation
Hypoxic conditions to represent tumor microenvironment
Inflammatory cytokine exposure
Survival assays: Quantify stress-induced apoptosis with and without:
Adhesion analysis: Assess endothelial cell adhesion to extracellular matrix components in the presence of:
Structural studies: Employ transmission electron microscopy to analyze EGFL7 oligomerization and fibrillar structures, which provide insight into functional mechanisms
Sprouting assays: Utilize 3D cell culture models to evaluate capillary-like structure formation under various conditions
Molecular pathway analysis: Investigate signaling cascades activated by EGFL7 during stress response using phospho-protein analysis
These approaches provide comprehensive characterization of how EGFL7 functions to protect endothelial cells under stress conditions relevant to tumor vasculature.