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Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments.
Gatto, Laurent; Aebersold, Ruedi; Cox, Juergen; Demichev, Vadim; Derks, Jason; Emmott, Edward; Franks, Alexander M; Ivanov, Alexander R; Kelly, Ryan T; Khoury, Luke; Leduc, Andrew; MacCoss, Michael J; Nemes, Peter; Perlman, David H; Petelski, Aleksandra A; Rose, Christopher M; Schoof, Erwin M; Van Eyk, Jennifer; Vanderaa, Christophe; Yates, John R; Slavov, Nikolai.
Afiliação
  • Gatto L; Computational Biology and Bioinformatics Unit, de Duve Institute, Université Catholique de Louvain, Brussels, Belgium.
  • Aebersold R; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Cox J; Max Planck Institute of Biochemistry, Martinsried, Germany.
  • Demichev V; Charité - Universitätsmedizin, Berlin, Germany.
  • Derks J; Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single-Cell Proteomics Center and Barnett Institute, Northeastern University, Boston, MA, USA.
  • Emmott E; Centre for Proteome Research, Department of Biochemistry and Systems Biology, University of Liverpool, Liverpool, UK.
  • Franks AM; Department of Statistics and Applied Probability, University of California Santa Barbara, Santa Barbara, CA, USA.
  • Ivanov AR; Department of Chemistry and Chemical Biology, Barnett Institute of Chemical and Biological Analysis, Northeastern University, Boston, MA, USA.
  • Kelly RT; Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT, USA.
  • Khoury L; Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single-Cell Proteomics Center and Barnett Institute, Northeastern University, Boston, MA, USA.
  • Leduc A; Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single-Cell Proteomics Center and Barnett Institute, Northeastern University, Boston, MA, USA.
  • MacCoss MJ; University of Washington, Seattle, WA, USA.
  • Nemes P; Department of Chemistry and Biochemistry, University of Maryland, College Park, MD, USA.
  • Perlman DH; Merck Exploratory Science Center, Merck Sharp & Dohme Corp., Cambridge, MA, USA.
  • Petelski AA; Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single-Cell Proteomics Center and Barnett Institute, Northeastern University, Boston, MA, USA.
  • Rose CM; Parallel Squared Technology Institute, Watertown, MA, USA.
  • Schoof EM; Department of Microchemistry, Proteomics and Lipidomics, Genentech Inc., South San Francisco, CA, USA.
  • Van Eyk J; Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark.
  • Vanderaa C; Cedars Sinai Medical Center, Los Angeles, CA, USA.
  • Yates JR; Computational Biology and Bioinformatics Unit, de Duve Institute, Université Catholique de Louvain, Brussels, Belgium.
  • Slavov N; Departments of Molecular Medicine and Neurobiology, the Scripps Research Institute, La Jolla, CA, USA.
Nat Methods ; 20(3): 375-386, 2023 03.
Article em En | MEDLINE | ID: mdl-36864200
ABSTRACT
Analyzing proteins from single cells by tandem mass spectrometry (MS) has recently become technically feasible. While such analysis has the potential to accurately quantify thousands of proteins across thousands of single cells, the accuracy and reproducibility of the results may be undermined by numerous factors affecting experimental design, sample preparation, data acquisition and data analysis. We expect that broadly accepted community guidelines and standardized metrics will enhance rigor, data quality and alignment between laboratories. Here we propose best practices, quality controls and data-reporting recommendations to assist in the broad adoption of reliable quantitative workflows for single-cell proteomics. Resources and discussion forums are available at https//single-cell.net/guidelines .
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Benchmarking / Proteômica Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Benchmarking / Proteômica Idioma: En Ano de publicação: 2023 Tipo de documento: Article