MAPU: Max-Planck Unified database of organellar, cellular, tissue and body fluid proteomes

被引:45
作者
Zhang, Yanling
Zhang, Yong
Adachi, Jun
Olsen, Jesper V.
Shi, Rong
de Souza, Gustavo
Pasini, Erica
Foster, Leonard J.
Macek, Boris
Zougman, Alexandre
Kumar, Chanchal
Wisniewski, Jacek R.
Jun, Wang
Mann, Matthias
机构
[1] Max Planck Inst Biochem, Dept Proteom & Signal Transduct, D-82152 Martinsried, Germany
[2] Chinese Acad Sci, Beijing Inst Genom, Beijing 101300, Peoples R China
[3] Kyoto Univ, Grad Sch Global Environm Studi, Sakyo Ku, Kyoto 6068501, Japan
[4] Biomed Primate Res Ctr, NL-2288 GJ Rijswijk, Netherlands
[5] Univ British Columbia, Dept Biochem & Mol Biol, Ctr Proteom, Vancouver, BC V6T 1Z4, Canada
[6] Univ So Denmark, Dept Biochem & Mol Biol, DK-5230 Odense M, Denmark
关键词
D O I
10.1093/nar/gkl784
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Mass spectrometry (MS)-based proteomics has become a powerful technology to map the protein composition of organelles, cell types and tissues. In our department, a large-scale effort to map these proteomes is complemented by the Max-Planck Unified (MAPU) proteome database. MAPU contains several body fluid proteomes; including plasma, urine, and cerebrospinal fluid. Cell lines have been mapped to a depth of several thousand proteins and the red blood cell proteome has also been analyzed in depth. The liver proteome is represented with 3200 proteins. By employing high resolution MS and stringent validation criteria, false positive identification rates in MAPU are lower than 1:1000. Thus MAPU datasets can serve as reference proteomes in biomarker discovery. MAPU contains the peptides identifying each protein, measured masses, scores and intensities and is freely available at http://www.mapuproteome.com using a clickable interface of cell or body parts. Proteome data can be queried across proteomes by protein name, accession number, sequence similarity, peptide sequence and annotation information. More than 4500 mouse and 2500 human proteins have already been identified in at least one proteome. Basic annotation information and links to other public databases are provided in MAPU and we plan to add further analysis tools.
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收藏
页码:D771 / D779
页数:9
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