Timepoint Selection Strategy for In Vivo Proteome Dynamics from Heavy Water Metabolic Labeling and LC-MS.

Sadygov, Vugar R; Zhang, William; Sadygov, Rovshan G

Sadygov, Vugar R; Zhang, William; Sadygov, Rovshan G.

Afiliação

Sadygov VR; Clear Creek High School, 2305 E. Main Street, League City, Texas 77573, United States.
Zhang W; Department of Computer Science, The University of Texas, 2317 Speedway, Stop D9500, Austin, Texas 78712, United States.
Sadygov RG; Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, 301 University of Blvd, Galveston, Texas 77555, United States.

J Proteome Res ; 19(5): 2105-2112, 2020 05 01.

Article em En | MEDLINE | ID: mdl-32183509

Assuntos

Proteoma; Espectrometria de Massas em Tandem; Animais; Cromatografia Líquida; Óxido de Deutério; Marcação por Isótopo; Camundongos

Palavras-chave

LC−MS; conditional independence of relative abundance and number of exchangeable hydrogens; distribution of turnover rates; error of relative abundances; heavy water metabolic labeling; isotope distributions; model of protein degradation rate constant; protein turnover; stochastic simulations; timepoint selection

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteoma / Espectrometria de Massas em Tandem Limite: Animals Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

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