A high-quality catalog of the Drosophila melanogaster proteome

Research output: Contribution to journalJournal article – Annual report year: 2007Researchpeer-review

  • Author: Brunner, Erich

  • Author: Ahrens, Christian H.

  • Author: Mohanty, Sonaly

  • Author: Baetschmann, Hansruedi

  • Author: Loevenich, Sandra

  • Author: Potthast, Frank

  • Author: Deutsch, Eric W.

  • Author: Panse, Christian

  • Author: de Lichtenberg, Ulrik

    Department of Systems Biology, Technical University of Denmark

  • Author: Rinner, Oliver

  • Author: Lee, Hookeun

  • Author: Pedrioli, Patrick G. A.

  • Author: Malmstrom, Johan

  • Author: Koehler, Katja

  • Author: Schrimpf, Sabine

  • Author: Krijgsveld, Jeroen

  • Author: Kregenov, Floyd

  • Author: Heck, Albert J. R.

  • Author: Hafen, Ernst

  • Author: Schlapbach, Ralph

  • Author: Aebersold, Ruedi

View graph of relations

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.
Original languageEnglish
JournalNature Biotechnology
Issue number5
Pages (from-to)576-83
Publication statusPublished - 2007
CitationsWeb of Science® Times Cited: No match on DOI

ID: 3630306