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Characterizing the proteome of the human dorsolateral prefrontal cortex by shotgun mass spectrometry.
Martins-de-Souza, Daniel; Guest, Paul C; Steeb, Hannah; Pietsch, Sandra; Rahmoune, Hassan; Harris, Laura W; Bahn, Sabine.
Afiliação
  • Martins-de-Souza D; Institute of Biotechnology, University of Cambridge, Cambridge, UK. dm533@cam.ac.uk
Proteomics ; 11(11): 2347-53, 2011 Jun.
Article em En | MEDLINE | ID: mdl-21538886
ABSTRACT
The studies of neuropsychiatric disorders would be facilitated by enhanced knowledge of the dorsolateral prefrontal cortex (DLPFC) proteome. To construct a data set of human DLPFC proteins, protein extracts were prepared from 12 postmortem brains focussing on the DLPFC region (Brodmann area 9) and analyzed using a combined gel electrophoresis and shotgun mass spectrometry approach, featuring data-independent label-free nanoflow liquid chromatography mass spectrometry (nLC-MS(E)). The detected mass/time features were aligned and annotated using the results from ProteinLynx Global Server. The resulting data set comprised 488 unique and accurately identified proteins, with stringent identification by a minimum of two distinct peptides detected at least in >75% of samples. These proteins were involved predominantly in cytoskeletal architecture, metabolism, transcription/translation, and synaptic function. Combination of this data set with that obtained by our previous characterization of the same brain region results in a total of 755 unique proteins, making this the most comprehensive analysis of this important brain region to date.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Mapeamento de Peptídeos / Córtex Pré-Frontal / Proteoma / Proteômica / Proteínas do Tecido Nervoso Limite: Humans Idioma: En Ano de publicação: 2011 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Mapeamento de Peptídeos / Córtex Pré-Frontal / Proteoma / Proteômica / Proteínas do Tecido Nervoso Limite: Humans Idioma: En Ano de publicação: 2011 Tipo de documento: Article