Kinetic Analysis of Vasculogenesis Quantifies Dynamics of Vasculogenesis and Angiogenesis In Vitro
January 31st, 2018
10.6K views
Here, we present a protocol for time-lapse imaging and analysis of vasculogenesis in vitro using phase contrast microscopy coupled with the open source software, Kinetic Analysis of Vasculogenesis. This protocol can be applied to quantitatively assess the vasculogenic potential of numerous cell types or experimental conditions that model vascular disease.
Overview
This article presents a protocol for time-lapse imaging and analysis of vasculogenesis in vitro using phase contrast microscopy and Kinetic Analysis of Vasculogenesis software. The method allows for quantitative assessment of the vasculogenic potential of various cell types and experimental conditions related to vascular disease.
Key Study Components
Area of Science
- Vasculogenesis
- Angiogenesis
- Cell culture techniques
Background
- Understanding vasculogenesis is crucial for insights into vascular diseases.
- Time-lapse imaging provides dynamic visualization of vessel formation.
- The method can be applied to various cell populations and conditions.
- Quantitative analysis enhances the understanding of vascular network formation.
Purpose of Study
- To visualize and quantify the process of vasculogenesis over time.
- To assess the kinetics of vessel formation in different experimental setups.
- To explore structural patterns of formed vascular networks.
Methods Used
- Preparation of a live-cell imaging chamber with controlled temperature and humidity.
- Use of Matrigel for creating a matrix for cell culture.
- Time-lapse imaging of endothelial colony-forming cells.
- Analysis of images using Kinetic Analysis of Vasculogenesis software.
Main Results
- Successful visualization of vasculogenic processes over time.
- Quantitative data on vessel formation rates and structural patterns.
- Identification of differences in vasculogenic potential among cell types.
- Generation of data tables and fused images for further analysis.
Conclusions
- The protocol provides a reliable method for studying vasculogenesis.
- Quantitative analysis can lead to better understanding of vascular diseases.
- This method can be adapted for various experimental conditions and cell types.
Frequently Asked Questions
What is the main advantage of this imaging technique?
It allows for the quantification of large numbers of vasculogenesis time points, enhancing the understanding of the kinetics involved.
Can this method be applied to different cell types?
Yes, the protocol can be used with various cell populations and experimental conditions.
What software is used for analyzing the images?
Kinetic Analysis of Vasculogenesis software is used for image analysis.
How critical is temperature and humidity control during the experiment?
Maintaining proper temperature and humidity is essential for the success of the imaging experiment.
What type of cells can be studied using this protocol?
The protocol is suitable for endothelial colony-forming cells and other cell types relevant to vasculogenesis.
What are the outcomes of the analysis?
The analysis provides data tables and fused images depicting the structural patterns of the vascular networks formed.
Executive Industry Relevance
Quantifying the kinetics of vasculogenesis provides a predictive readout for endothelial progenitor cell functionality, enabling mechanistic de-risking in vascular disease models. This approach supports target validation by linking network formation dynamics to pathophysiological conditions such as maternal diabetes. The method enhances assay development for branching processes, improving translational continuity from discovery to preclinical evaluation.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Scientific Value: Interrogates therapeutic hypotheses by measuring rates of network formation and stabilization in endothelial progenitor cells.
- Operational Value: Enables biological de-risking through quantitative comparison of vasculogenic potential across disease states.
- Scientific Value: Supports predictive confidence by identifying altered kinetics in diabetic-exposed fetal ECFCs versus controls.
Screening & Assay Development
- Scientific Value: Prepares validated biological systems for downstream workflows via standardized basement membrane matrix plating and time-lapse imaging.
- Operational Value: Addresses assay standardization and reproducibility through automated segmentation and skeletonization of network structures.
- Scientific Value: Highlights screening readiness by generating ten quantitative parameters (nine measured, one calculated) for network analysis.
Translational & Preclinical Research
- Scientific Value: Discusses disease relevance by applying the protocol to fetal ECFCs from pregnancies complicated by diabetes mellitus.
- Operational Value: Describes continuity from discovery through preclinical validation by enabling longitudinal assessment of vasculogenic dynamics.
- Scientific Value: Focuses on predictive de-risking value by identifying biphasic network formation patterns and altered maximal network achievement in disease models.
Pipeline & Workflow Integration
The method integrates into the discovery continuum from hypothesis testing through lead identification by providing dynamic, quantitative readouts of vasculogenesis that inform mechanistic and phenotypic assessments.
- Discovery Biology: Explains how the method supports hypothesis testing, pathway clarification, and biological de-risking via kinetic analysis of network formation over 15 hours.
- Screening: Describes assay readiness, reproducibility, and quantitative outputs through time-lapse phase contrast imaging and KAV-derived parameters such as closed networks, total branch length, and branch-to-node ratio.
- Analytics: Highlights measurements, readouts, and statistical outputs that enable comparison of network structures across conditions and time points.
- Translational Research: Connects the method to preclinical continuity by demonstrating altered vasculogenesis in diabetic-exposed ECFCs, supporting risk-adjusted advancement decisions.
- Enterprise Reuse: Frames the method as a reusable capability for assessing vasculogenesis and other branching processes in diverse cell types and disease states.
Operational & Enterprise Impact
- Scientific Value: Predictive confidence, target validation, reduction of mechanistic ambiguity in vascular network formation.
- Operational Value: Standardization, reproducibility, and scalability of vasculogenesis assessment across multi-well formats and time-lapse experiments.
- Strategic Value: Better go/no-go decisions, capital efficiency, and reduced late-stage biological risk through early detection of dysfunctional vasculogenic phenotypes.
- Portfolio Impact: Risk-adjusted prioritization and advancement decisions based on quantitative network formation kinetics and structural parameters.
Implementation Considerations
- Required scientific expertise in cell culture, live-cell imaging, and image analysis software operation.
- Instrumentation and analytical infrastructure needs including phase contrast microscopy, temperature/humidity-controlled live-cell chamber, and Kinetic Analysis of Vasculogenesis software.
- Cross-team standardization requirements for matrix plating, cell seeding density, and thresholding method selection (e.g., Mean or Otsu) to ensure consistent network detection.
- Adaptation considerations across model systems, including varying endothelial progenitor cell sources and extracellular matrix compositions.
- Practical limitations supported by source material: network detection accuracy is reduced under low image contrast or imaging artifacts such as gridding, necessitating quality control of phase contrast images.
Biopharma FAQs
Why does null hypothesis testing matter for target validation in vasculogenesis?
Null hypothesis testing enables researchers to determine whether observed differences in network formation kinetics between experimental groups (e.g., diabetic vs. control ECFCs) are statistically significant, supporting confident target validation by distinguishing true biological effects from variability.
How does independent variable isolation fit the discovery pipeline in this vasculogenesis protocol?
Isolating independent variables such as maternal diabetes exposure allows researchers to attribute changes in vasculogenic potential specifically to disease conditions, clarifying mechanistic pathways in early discovery and improving hypothesis-driven screening.
What quantitative dependent variable measurements enable mechanistic assessment of vasculogenesis?
Measurements such as closed networks, total branch length, average branch length, and branch-to-node ratio provide quantitative endpoints that quantify network formation dynamics and stabilization, enabling mechanistic insight into vascular dysfunction.
Why do replication requirements matter for cross-functional collaboration in vasculogenesis studies?
Replication ensures that observed kinetically altered vasculogenesis in disease models is consistent across experiments, building confidence in data shared between discovery, assay development, and preclinical teams for aligned decision-making.
What statistical analysis capabilities are required before implementing this vasculogenesis kinetic analysis?
Researchers must be able to perform time-point comparisons and group-wise statistical testing (e.g., t-tests or ANOVA) on the ten KAV-derived parameters to determine significant differences in network formation rates and structural patterns across conditions.
Chapters in this video
0:05
Title
0:59
Microscope Preparation and Endothelial Colony Forming Cell (ECFC) Matrix Plating
4:46
Image Acquisition and Processing and Kinetic Analysis of Vasculogenesis (KAV)
8:12
Results: Representative Kinetic Analysis of Vasculogenesis
10:22
Conclusion
