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Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Shotgun proteomics: concept, key points and data mining
Author(s): Matallana-Surget, Sabine
Baptiste, Leroy
Wattiez, Ruddy
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Issue Date: 2010
Date Deposited: 20-Dec-2016
Citation: Matallana-Surget S, Baptiste L & Wattiez R (2010) Shotgun proteomics: concept, key points and data mining (Editorial). Expert Review of Proteomics, 7 (1), pp. 5-7.
Abstract: First paragraph: Mass spectrometry (MS)-based approaches are used increasingly to address diverse questions in proteomics research, enabling one to comprehensively analyze complex samples of proteins on a global level. Owing to all the effort devoted to explore entire genomes, we now have access to a multitude of completed genome sequences, which has recently opened up a new era of ‘shotgun proteome sequencing’. The concept of shotgun proteomics basically consists of the multidimensional separation (MudPIT) of a complex mixture of peptides, generated from the treatment of a specific protease (e.g., trypsin), analyzed using MS/MS and then submitted to automated database searching.
DOI Link: 10.1586/epr.09.101
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Notes: Output Type: Editorial
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