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2010-02-01 - Article/Dans un journal avec peer-review - Anglais - 3 page(s)

Matallana-Surget S., Leroy Baptiste , Wattiez Ruddy , "Shotgun proteomics: concept, key points and data mining" in Expert Review of Proteomics, 7, 1, 5-7

  • Edition : Taylor & Francis (United Kingdom)
  • Codes CREF : Biochimie (DI3112), Biotechnologie (DI3800)
  • Unités de recherche UMONS : Protéomie et Microbiologie (S828)
Texte intégral :

Abstract(s) :

(Anglais) 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.

Identifiants :
  • DOI : 10.1586/epr.09.101