An Introduction to Mass Spectrometry-Based Proteomics.

bottom-up data-dependent acquisition label-free quantification mass spectrometry proteomics untargeted proteomics

Journal

Journal of proteome research
ISSN: 1535-3907
Titre abrégé: J Proteome Res
Pays: United States
ID NLM: 101128775

Informations de publication

Date de publication:
07 07 2023
Historique:
medline: 10 7 2023
pubmed: 1 6 2023
entrez: 1 6 2023
Statut: ppublish

Résumé

Mass spectrometry is unmatched in its versatility for studying practically any aspect of the proteome. Because the foundations of mass spectrometry-based proteomics are complex and span multiple scientific fields, proteomics can be perceived as having a high barrier to entry. This tutorial is intended to be an accessible illustrated guide to the technical details of a relatively simple quantitative proteomic experiment. An attempt is made to explain the relevant concepts to those with limited knowledge of mass spectrometry and a basic understanding of proteins. An experimental overview is provided, from the beginning of sample preparation to the analysis of protein group quantities, with explanations of how the data are acquired, processed, and analyzed. A selection of advanced topics is briefly surveyed and works for further reading are cited. To conclude, a brief discussion of the future of proteomics is given, considering next-generation protein sequencing technologies that may complement mass spectrometry to create a fruitful future for proteomics.

Identifiants

pubmed: 37260118
doi: 10.1021/acs.jproteome.2c00838
doi:

Substances chimiques

Proteome 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2151-2171

Auteurs

Steven R Shuken (SR)

Department of Cell Biology, Harvard Medical School, 240 Longwood Avenue, Boston, Massachusetts 02115, United States.
Department of Chemistry, Stanford University, 364 Lomita Drive, Stanford, California 94305, United States.
Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 213 Quarry Road, Palo Alto, California 94304, United States.
Wu Tsai Neurosciences Institute, Stanford University, 290 Jane Stanford Way, Stanford, California 94305, United States.

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Classifications MeSH