Literature DB >> 17450130

A high-quality catalog of the Drosophila melanogaster proteome.

Erich Brunner1, Christian H Ahrens, Sonali Mohanty, Hansruedi Baetschmann, Sandra Loevenich, Frank Potthast, Eric W Deutsch, Christian Panse, Ulrik de Lichtenberg, Oliver Rinner, Hookeun Lee, Patrick G A Pedrioli, Johan Malmstrom, Katja Koehler, Sabine Schrimpf, Jeroen Krijgsveld, Floyd Kregenow, Albert J R Heck, Ernst Hafen, Ralph Schlapbach, Ruedi Aebersold.   

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.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17450130     DOI: 10.1038/nbt1300

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  113 in total

1.  Generic comparison of protein inference engines.

Authors:  Manfred Claassen; Lukas Reiter; Michael O Hengartner; Joachim M Buhmann; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2011-11-04       Impact factor: 5.911

2.  Mass spectrometry in high-throughput proteomics: ready for the big time.

Authors:  Tommy Nilsson; Matthias Mann; Ruedi Aebersold; John R Yates; Amos Bairoch; John J M Bergeron
Journal:  Nat Methods       Date:  2010-09       Impact factor: 28.547

Review 3.  Decoding signalling networks by mass spectrometry-based proteomics.

Authors:  Chunaram Choudhary; Matthias Mann
Journal:  Nat Rev Mol Cell Biol       Date:  2010-05-12       Impact factor: 94.444

4.  Synthetic peptide arrays for pathway-level protein monitoring by liquid chromatography-tandem mass spectrometry.

Authors:  Johannes A Hewel; Jian Liu; Kento Onishi; Vincent Fong; Shamanta Chandran; Jonathan B Olsen; Oxana Pogoutse; Mike Schutkowski; Holger Wenschuh; Dirk F H Winkler; Larry Eckler; Peter W Zandstra; Andrew Emili
Journal:  Mol Cell Proteomics       Date:  2010-05-13       Impact factor: 5.911

5.  The SILAC fly allows for accurate protein quantification in vivo.

Authors:  Matthias D Sury; Jia-Xuan Chen; Matthias Selbach
Journal:  Mol Cell Proteomics       Date:  2010-06-05       Impact factor: 5.911

6.  Protein and gene model inference based on statistical modeling in k-partite graphs.

Authors:  Sarah Gerster; Ermir Qeli; Christian H Ahrens; Peter Bühlmann
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-18       Impact factor: 11.205

7.  PeptideClassifier for protein inference and targeted quantitative proteomics.

Authors:  Ermir Qeli; Christian H Ahrens
Journal:  Nat Biotechnol       Date:  2010-07       Impact factor: 54.908

8.  The pros and cons of peptide-centric proteomics.

Authors:  Mark W Duncan; Ruedi Aebersold; Richard M Caprioli
Journal:  Nat Biotechnol       Date:  2010-07       Impact factor: 54.908

9.  A stress test for mass spectrometry-based proteomics.

Authors:  Ruedi Aebersold
Journal:  Nat Methods       Date:  2009-06       Impact factor: 28.547

10.  Proteomic discovery of previously unannotated, rapidly evolving seminal fluid genes in Drosophila.

Authors:  Geoffrey D Findlay; Michael J MacCoss; Willie J Swanson
Journal:  Genome Res       Date:  2009-05       Impact factor: 9.043

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.