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 tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Cox, J & Mann, M 2011, 'Quantitative, high-resolution proteomics for data-driven systems biology', Annual Review of Biochemistry, bind 80, s. 273-299. https://doi.org/10.1146/annurev-biochem-061308-093216

APA

Cox, J., & Mann, M. (2011). Quantitative, high-resolution proteomics for data-driven systems biology. Annual Review of Biochemistry, 80, 273-299. https://doi.org/10.1146/annurev-biochem-061308-093216

Vancouver

Cox J, Mann M. Quantitative, high-resolution proteomics for data-driven systems biology. Annual Review of Biochemistry. 2011 jul. 7;80:273-299. https://doi.org/10.1146/annurev-biochem-061308-093216

Author

Cox, J. ; Mann, M. / Quantitative, high-resolution proteomics for data-driven systems biology. I: Annual Review of Biochemistry. 2011 ; Bind 80. s. 273-299.

Bibtex

@article{bcf3331d9df9424abf5b973527472782,
title = "Quantitative, high-resolution proteomics for data-driven systems biology",
abstract = "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.",
author = "J. Cox and M. Mann",
year = "2011",
month = jul,
day = "7",
doi = "10.1146/annurev-biochem-061308-093216",
language = "English",
volume = "80",
pages = "273--299",
journal = "Annual Review of Biochemistry",
issn = "0066-4154",
publisher = "Annual Reviews, inc.",

}

RIS

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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.

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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