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Assessing Protein Sequence Database Suitability Using De Novo Sequencing.

ABSTRACT: 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.

SUBMITTER: Johnson RS

PROVIDER: S-EPMC6944239 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Assessing Protein Sequence Database Suitability Using <i>De Novo</i> Sequencing.

Johnson Richard S RS Searle Brian C BC Nunn Brook L BL Gilmore Jason M JM Phillips Molly M Amemiya Chris T CT Heck Michelle M MacCoss Michael J MJ

Molecular & cellular proteomics : MCP 20191115 1

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 <i>de novo</i> sequencing for evaluating both the quality of a collecti ...[more]

PMID: 31732549

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