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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-35659

Brunner, E; Ahrens, C H; Mohanty, S; Baetschmann, H; Loevenich, S; Potthast, F; Deutsch, E W; Panse, C; de Lichtenberg, U; Rinner, O; Lee, H; Pedrioli, P G A; Malmstrom, J; Koehler, K; Schrimpf, S; Krijgsveld, J; Kregenow, F; Heck, A J R; Hafen, E; Schlapbach, R; Aebersold, R (2007). A high-quality catalog of the Drosophila melanogaster proteome. Nature Biotechnology, 25(5):576-583.

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Abstract

Understanding how proteins and their complex interaction networks convert the genomic information into a dynamic living organism is a fundamental challenge in biological sciences. As an important step towards understanding the systems biology of a complex eukaryote, we cataloged 63% of the predicted Drosophila melanogaster proteome by detecting 9,124 proteins from 498,000 redundant and 72,281 distinct peptide identifications. This unprecedented high proteome coverage for a complex eukaryote was achieved by combining sample diversity, multidimensional biochemical fractionation and analysis-driven experimentation feedback loops, whereby data collection is guided by statistical analysis of prior data. We show that high-quality proteomics data provide crucial information to amend genome annotation and to confirm many predicted gene models. We also present experimentally identified proteotypic peptides matching approximately 50% of D. melanogaster gene models. This library of proteotypic peptides should enable fast, targeted and quantitative proteomic studies to elucidate the systems biology of this model organism.

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Functional Genomics Center Zurich
08 University Research Priority Programs > Systems Biology / Functional Genomics
DDC:570 Life sciences; biology
610 Medicine & health
Language:English
Date:2007
Deposited On:04 Nov 2010 13:13
Last Modified:27 Nov 2013 19:24
Publisher:Nature Publishing Group
ISSN:1087-0156
Publisher DOI:10.1038/nbt1300
PubMed ID:17450130
Citations:Web of Science®. Times Cited: 161
Google Scholar™
Scopus®. Citation Count: 171

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