![]() ![]() Finally, we present a first draft of an ECM atlas built by compiling proteomics data on the ECM composition of 14 different tissues and tumor types. We also introduce a web platform “the matrisome project” and the database MatrisomeDB that compiles in silico and in vivo data on the matrisome, defined as the ensemble of genes encoding ECM and ECM-associated proteins. In this review, we describe new bioinformatic tools and experimental strategies for ECM research, and illustrate how these tools and approaches can be exploited to provide novel insights in our understanding of ECM biology. The development over the last few years of high-throughput (“omics”) approaches has considerably accelerated the pace of discovery in life sciences. Thus, a better characterization of ECM composition, metabolism, and biology can lead to the identification of novel prognostic and diagnostic markers and therapeutic opportunities. Taking advantage of the insolubility of ECM proteins, we and others have reported the development of decellularization and ECM-enrichment methods that rely on the extraction of somewhat more soluble intracellular proteins, ,,. Degradation, hyperproduction or alteration of the composition of the ECM cause or accompany numerous pathologies. The extracellular matrix (ECM) is a fundamental component of multicellular organisms that provides mechanical and chemical cues that orchestrate cellular and tissue organization and functions. ![]()
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