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Mass Spectrometry–Based Proteomics and Network Biology

Mass Spectrometry–Based Proteomics and Network Biology In the life sciences, a new paradigm is emerging that places networks of interacting molecules between genotype and phenotype. These networks are dynamically modulated by a multitude of factors, and the properties emerging from the network as a whole determine observable phenotypes. This paradigm is usually referred to as systems biology, network biology, or integrative biology. Mass spectrometry (MS)–based proteomics is a central life science technology that has realized great progress toward the identification, quantification, and characterization of the proteins that constitute a proteome. Here, we review how MS-based proteomics has been applied to network biology to identify the nodes and edges of biological networks, to detect and quantify perturbation-induced network changes, and to correlate dynamic network rewiring with the cellular phenotype. We discuss future directions for MS-based proteomics within the network biology paradigm. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annual Review of Biochemistry Annual Reviews

Mass Spectrometry–Based Proteomics and Network Biology

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Publisher
Annual Reviews
Copyright
Copyright © 2012 by Annual Reviews. All rights reserved
ISSN
0066-4154
eISSN
1545-4509
DOI
10.1146/annurev-biochem-072909-100424
pmid
22439968
Publisher site
See Article on Publisher Site

Abstract

In the life sciences, a new paradigm is emerging that places networks of interacting molecules between genotype and phenotype. These networks are dynamically modulated by a multitude of factors, and the properties emerging from the network as a whole determine observable phenotypes. This paradigm is usually referred to as systems biology, network biology, or integrative biology. Mass spectrometry (MS)–based proteomics is a central life science technology that has realized great progress toward the identification, quantification, and characterization of the proteins that constitute a proteome. Here, we review how MS-based proteomics has been applied to network biology to identify the nodes and edges of biological networks, to detect and quantify perturbation-induced network changes, and to correlate dynamic network rewiring with the cellular phenotype. We discuss future directions for MS-based proteomics within the network biology paradigm.

Journal

Annual Review of BiochemistryAnnual Reviews

Published: Jul 7, 2012

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