Multi-Parametric Profiling of Endothelial Cell Networks Reveals Functional Role of Glutamate Receptors in Angiogenesis

Abstract

AbstractAngiogenesis plays a key role in several diseases including cancer, ischemic vascular disease, and Alzheimer’s disease. High throughput screening of endothelial tube formation provides a robust approach for identifying drugs that impact microvascular network formation and morphology. However, the analysis of resulting imaging datasets has been limited to a few phenotypic features such as the total tube length or the number of branching points. Here we developed a high content analysis framework for detailed quantification of various aspects of network morphology including network complexity, symmetry and topology. By applying our approach to a high content screen of 1,280 drugs, we found that many drugs that result in a similar phenotype share the same mechanism of action or common downstream signalling pathways. Our multiparametric analysis revealed a group of drugs, that target glutamate receptors, results in enhanced branching and network connectivity. Using an integrative meta-analysis approach, we validated the link between these receptors and angiogenesis. We further found that the expression of these genes correlates with the prognosis of Alzheimer’s patients. In conclusion, our work shows that detailed image analysis of complex endothelial phenotypes can reveal new insights into biological mechanisms modulating the morphogenesis of endothelial networks and identify potential therapeutics for angiogenesis-related diseases.