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Defining the carrier proteome limit for single-cell proteomics.
Cheung, Tommy K; Lee, Chien-Yun; Bayer, Florian P; McCoy, Atticus; Kuster, Bernhard; Rose, Christopher M.
Afiliação
  • Cheung TK; Department of Microchemistry, Proteomics and Lipidomics, Genentech, South San Francisco, CA, USA.
  • Lee CY; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
  • Bayer FP; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
  • McCoy A; Department of Microchemistry, Proteomics and Lipidomics, Genentech, South San Francisco, CA, USA.
  • Kuster B; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany. kuster@tum.de.
  • Rose CM; Institute for Advanced Study, Technical University of Munich, Garching, Germany. kuster@tum.de.
Nat Methods ; 18(1): 76-83, 2021 01.
Article em En | MEDLINE | ID: mdl-33288958
Single-cell proteomics by mass spectrometry (SCoPE-MS) is a recently introduced method to quantify multiplexed single-cell proteomes. While this technique has generated great excitement, the underlying technologies (isobaric labeling and mass spectrometry (MS)) have technical limitations with the potential to affect data quality and biological interpretation. These limitations are particularly relevant when a carrier proteome, a sample added at 25-500× the amount of a single-cell proteome, is used to enable peptide identifications. Here we perform controlled experiments with increasing carrier proteome amounts and evaluate quantitative accuracy, as it relates to mass analyzer dynamic range, multiplexing level and number of ions sampled. We demonstrate that an increase in carrier proteome level requires a concomitant increase in the number of ions sampled to maintain quantitative accuracy. Lastly, we introduce Single-Cell Proteomics Companion (SCPCompanion), a software tool that enables rapid evaluation of single-cell proteomic data and recommends instrument and data analysis parameters for improved data quality.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fragmentos de Peptídeos / Software / Proteoma / Proteômica / Espectrometria de Massas em Tandem / Análise de Célula Única Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fragmentos de Peptídeos / Software / Proteoma / Proteômica / Espectrometria de Massas em Tandem / Análise de Célula Única Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article