Quantitative, high-resolution proteomics for data-driven systems biology
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Quantitative, high-resolution proteomics for data-driven systems biology. / Cox, J.; Mann, M.
I: Annual Review of Biochemistry, Bind 80, 07.07.2011, s. 273-299.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Quantitative, high-resolution proteomics for data-driven systems biology
AU - Cox, J.
AU - Mann, M.
PY - 2011/7/7
Y1 - 2011/7/7
N2 - Systems biology requires comprehensive data at all molecular levels. Mass spectrometry (MS)-based proteomics has emerged as a powerful and universal method for the global measurement of proteins. In the most widespread format, it uses liquid chromatography (LC) coupled to high-resolution tandem mass spectrometry (MS/MS) to identify and quantify peptides at a large scale. This peptide intensity information is the basic quantitative proteomic data type. It is used to quantify proteins between different proteome states, including the temporal variation of the proteome, to determine the complete primary structure of proteins including posttranslational modifications, to localize proteins to organelles, and to determine protein interactions. Here, we describe the principles of analysis and the areas of biology where proteomics can make unique contributions. The large-scale nature of proteomics data and its high accuracy pose special opportunities as well as challenges in systems biology that have been largely untapped so far.
AB - Systems biology requires comprehensive data at all molecular levels. Mass spectrometry (MS)-based proteomics has emerged as a powerful and universal method for the global measurement of proteins. In the most widespread format, it uses liquid chromatography (LC) coupled to high-resolution tandem mass spectrometry (MS/MS) to identify and quantify peptides at a large scale. This peptide intensity information is the basic quantitative proteomic data type. It is used to quantify proteins between different proteome states, including the temporal variation of the proteome, to determine the complete primary structure of proteins including posttranslational modifications, to localize proteins to organelles, and to determine protein interactions. Here, we describe the principles of analysis and the areas of biology where proteomics can make unique contributions. The large-scale nature of proteomics data and its high accuracy pose special opportunities as well as challenges in systems biology that have been largely untapped so far.
UR - http://www.scopus.com/inward/record.url?scp=79959424627&partnerID=8YFLogxK
U2 - 10.1146/annurev-biochem-061308-093216
DO - 10.1146/annurev-biochem-061308-093216
M3 - Journal article
C2 - 21548781
AN - SCOPUS:79959424627
VL - 80
SP - 273
EP - 299
JO - Annual Review of Biochemistry
JF - Annual Review of Biochemistry
SN - 0066-4154
ER -
ID: 46455602