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Screening for Expressed Nonribosomal Peptide Synthetases and Polyketide Synthases Using LC-MS/MS-Based Proteomics.
Chen, Yunqiu; McClure, Ryan A; Kelleher, Neil L.
Afiliação
  • Chen Y; Department of Chemistry, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA.
  • McClure RA; Department of Chemistry, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA.
  • Kelleher NL; Department of Chemistry, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA. n-kelleher@northwestern.edu.
Methods Mol Biol ; 1401: 135-47, 2016.
Article em En | MEDLINE | ID: mdl-26831706
ABSTRACT
Liquid chromatography-mass spectrometry (LC-MS)-based proteomics is a powerful technique for the profiling of protein expression in cells in a high-throughput fashion. Herein we report a protocol using LC-MS/MS-based proteomics for the screening of enzymes involved in natural product biosynthesis, such as nonribosomal peptide synthetases (NRPSs) and polyketide synthases (PKSs) from bacterial strains. Taking advantage of the large size of modular NRPSs and PKSs (often >200 kDa), size-based separation (SDS-PAGE) is employed prior to LC-MS/MS analysis. Based upon the protein identifications obtained through software search, we can accurately pinpoint the expressed NRPS and/or PKS gene clusters from a given strain and growth condition. The proteomics screening result can be used to guide the discovery of potentially new nonribosomal peptide and polyketide natural products.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeo Sintases / Actinobacteria / Proteômica / Policetídeo Sintases / Espectrometria de Massas em Tandem Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeo Sintases / Actinobacteria / Proteômica / Policetídeo Sintases / Espectrometria de Massas em Tandem Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article