Header

UZH-Logo

Maintenance Infos

Generating and navigating proteome maps using mass spectrometry


Ahrens, C H; Brunner, E; Qeli, E; Basler, K; Aebersold, R (2010). Generating and navigating proteome maps using mass spectrometry. Nature Reviews. Molecular Cell Biology, 11(11):789-801.

Abstract

Proteomes, the ensembles of all proteins expressed by cells or tissues, are typically analysed by mass spectrometry. Recent technical and computational advances have greatly increased the fraction of a proteome that can be identified and quantified in a single study. Current mass spectrometry-based proteomic strategies have the potential to reproducibly, accurately, quantitatively and comprehensively measure any protein or whole proteomes from cells and tissues at different states. Achieving these goals will require complete proteome maps and analytical strategies that use these maps as prior information and will greatly enhance the impact of proteomics on biological and clinical research.

Abstract

Proteomes, the ensembles of all proteins expressed by cells or tissues, are typically analysed by mass spectrometry. Recent technical and computational advances have greatly increased the fraction of a proteome that can be identified and quantified in a single study. Current mass spectrometry-based proteomic strategies have the potential to reproducibly, accurately, quantitatively and comprehensively measure any protein or whole proteomes from cells and tissues at different states. Achieving these goals will require complete proteome maps and analytical strategies that use these maps as prior information and will greatly enhance the impact of proteomics on biological and clinical research.

Statistics

Citations

Dimensions.ai Metrics
124 citations in Web of Science®
133 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

2 downloads since deposited on 09 Nov 2010
0 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, further contribution
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
Special Collections > SystemsX.ch
Special Collections > SystemsX.ch > Research, Technology and Development Projects > WingX
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Life Sciences > Molecular Biology
Life Sciences > Cell Biology
Language:English
Date:14 October 2010
Deposited On:09 Nov 2010 17:05
Last Modified:23 Jan 2022 17:16
Publisher:Nature Publishing Group
ISSN:1471-0072
OA Status:Closed
Publisher DOI:https://doi.org/10.1038/nrm2973
PubMed ID:20944666