The extracellular matrix: Tools and insights for the "omics" era

被引:719
作者
Naba, Alexandra [1 ]
Clauser, Karl R. [3 ]
Ding, Huiming [4 ]
Whittaker, Charles A. [4 ]
Carr, Steven A. [3 ]
Hynes, Richard O. [1 ,2 ]
机构
[1] MIT, David H Koch Inst Integrat Canc Res, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[2] MIT, Howard Hughes Med Inst, Cambridge, MA 02139 USA
[3] Broad Inst MIT & Harvard, Prote Platform, Cambridge, MA 02142 USA
[4] MIT, David H Koch Inst Integrat Canc Res, Barbara K Ostrom Bioinformat & Comp Facil, Swanson Biotechnol Ctr, 77 Massachusetts Ave, Cambridge, MA 02139 USA
关键词
Extracellular matrix; Matrisome; MatrisomeDB; ECM atlas; Bioinformatics; Proteomics; PROTEOMIC ANALYSIS; QUANTITATIVE PROTEOMICS; DATABASE; PROTEIN; REVEALS; EXPRESSION; ATLAS; GENE; IDENTIFICATION; MICROARRAY;
D O I
10.1016/j.matbio.2015.06.003
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
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. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:10 / 24
页数:15
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