{"id":1832,"date":"2015-09-08T02:17:59","date_gmt":"2015-09-08T02:17:59","guid":{"rendered":"http:\/\/www.sfbmec.fr\/?p=1832"},"modified":"2016-12-12T01:03:26","modified_gmt":"2016-12-12T01:03:26","slug":"the-extracellular-matrix-tools-and-insights-for-the-omics-era","status":"publish","type":"post","link":"http:\/\/www.sfbmec.fr\/?p=1832","title":{"rendered":"The Extracellular Matrix: Tools and Insights for the \u201cOmics\u201d Era"},"content":{"rendered":"

Naba A, Clauser K.R, Ding H, Whittaker C.A, Carr S.A, and Hynes R.O. The Extracellular Matrix: Tools and Insights for the \u00ab\u00a0Omics\u00a0\u00bb Era<\/strong>. Matrix Biology<\/em>, 2015, pii: S0945-053X(15)00121-3<\/p>\n

Liens vers l’article<\/strong> (open access): http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0945053X15001213<\/a><\/p>\n

Highlights:<\/strong><\/span>
\n \u2022 The matrisome is defined as the ensemble of 1000\u00a0+ genes encoding ECM and ECM-associated proteins.<\/span><\/p>\n

\u2022 Bioinformatic and experimental approaches to study the ECM\/matrisome are discussed.<\/span><\/p>\n

\u2022 We introduce a novel website and database MatrisomeDB to centralize resources on the matrisome.<\/span><\/p>\n

\u2022 We present a draft of an ECM atlas compiling proteomics data on the ECM of 14 different tissues and tumors.<\/span><\/p>\n

\u2022 \u201cOmics\u201d data provide novel insights into ECM functions in development, homeostasis and disease.<\/span><\/p>\n

\u00a0<\/span><\/p>\n

Partager :<\/h3>