The extracellular matrix: Tools and insights for the “omics” era
Name
Hynes_The extracellular matrix.pdf
Size
2.72 MB
Format
Adobe PDF
Checksum (MD5)
902bbb64b1d51d4128e84d66b097104c
Author(s)
Clauser, Karl R.
Carr, Steven A.
Naba, Alexandra
Ding, Huiming
Whittaker, Charles A.
Hynes, Richard O.
Date Issued
June 2015
Journal
Matrix Biology
Publisher
Elsevier
Citation
Naba, Alexandra et al. “The Extracellular Matrix: Tools and Insights for the ‘omics’ Era.” Matrix Biology 49 (2016): 10–24. CrossRef. Web.
Version
Final published version
Abstract
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. Degradation, hyperproduction or alteration of the composition of the ECM cause or accompany numerous pathologies. Thus, a better characterization of ECM composition, metabolism, and biology can lead to the identification of novel prognostic and diagnostic markers and therapeutic opportunities. The development over the last few years of high-throughput (“omics”) approaches has considerably accelerated the pace of discovery in life sciences. 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. 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. 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.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.matbio.2015.06.003
