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Assessing Protein Sequence Database Suitability Using De Novo Sequencing.
Johnson, Richard S; Searle, Brian C; Nunn, Brook L; Gilmore, Jason M; Phillips, Molly; Amemiya, Chris T; Heck, Michelle; MacCoss, Michael J.
Afiliação
  • Johnson RS; Department of Genome Sciences, University of Washington, Seattle, Washington. Electronic address: rj8@uw.edu.
  • Searle BC; Institute for Systems Biology, Seattle, Washington; Proteome Software, Portland, Oregon.
  • Nunn BL; Department of Genome Sciences, University of Washington, Seattle, Washington.
  • Gilmore JM; Department of Genome Sciences, University of Washington, Seattle, Washington.
  • Phillips M; Department of Biology, University of Washington, Seattle, Washington; School of Natural Sciences, University of California, Merced, California.
  • Amemiya CT; School of Natural Sciences, University of California, Merced, California.
  • Heck M; United States Department of Agriculture, Agricultural Research Service, Ithaca, New York.
  • MacCoss MJ; Department of Genome Sciences, University of Washington, Seattle, Washington.
Mol Cell Proteomics ; 19(1): 198-208, 2020 01.
Article em En | MEDLINE | ID: mdl-31732549
The analysis of samples from unsequenced and/or understudied species as well as samples where the proteome is derived from multiple organisms poses two key questions. The first is whether the proteomic data obtained from an unusual sample type even contains peptide tandem mass spectra. The second question is whether an appropriate protein sequence database is available for proteomic searches. We describe the use of automated de novo sequencing for evaluating both the quality of a collection of tandem mass spectra and the suitability of a given protein sequence database for searching that data. Applications of this method include the proteome analysis of closely related species, metaproteomics, and proteomics of extinct organisms.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteoma / Análise de Sequência de Proteína / Bases de Dados de Proteínas / Proteômica / Espectrometria de Massas em Tandem Limite: Animals / Humans Idioma: En Revista: Mol Cell Proteomics Assunto da revista: BIOLOGIA MOLECULAR / BIOQUIMICA Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteoma / Análise de Sequência de Proteína / Bases de Dados de Proteínas / Proteômica / Espectrometria de Massas em Tandem Limite: Animals / Humans Idioma: En Revista: Mol Cell Proteomics Assunto da revista: BIOLOGIA MOLECULAR / BIOQUIMICA Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos