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A high-quality catalog of the Drosophila melanogaster proteome


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.

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.

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.

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Additional indexing

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
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Language:English
Date:2007
Deposited On:04 Nov 2010 13:13
Last Modified:05 Apr 2016 14:14
Publisher:Nature Publishing Group
ISSN:1087-0156
Publisher DOI:10.1038/nbt1300
PubMed ID:17450130
Permanent URL: http://doi.org/10.5167/uzh-35659

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