Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/24725
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Shotgun proteomics: concept, key points and data mining (Editorial)
Authors: Matallana-Surget, Sabine
Baptiste, Leroy
Wattiez, Ruddy
Contact Email: sabine.matallanasurget@stir.ac.uk
Issue Date: 2010
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: http://dx.doi.org/10.1586/epr.09.101
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