title: MAPU: Max-Planck Unified database of organellar, cellular, tissue and body fluid proteomes.
abstract: 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.
authors.affiliation: Department of Proteomics and Signal Transduction, Max-Planck-Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany.
authors.forename: Yanling
authors.initials: Y
authors.lastname: Zhang
authors.forename: Yong
authors.initials: Y
authors.lastname: Zhang
authors.forename: Jun
authors.initials: J
authors.lastname: Adachi
authors.forename: Jesper V
authors.initials: JV
authors.lastname: Olsen
authors.forename: Rong
authors.initials: R
authors.lastname: Shi
authors.forename: Gustavo
authors.initials: G
authors.lastname: de Souza
authors.forename: Erica
authors.initials: E
authors.lastname: Pasini
authors.forename: Leonard J
authors.initials: LJ
authors.lastname: Foster
authors.forename: Boris
authors.initials: B
authors.lastname: Macek
authors.forename: Alexandre
authors.initials: A
authors.lastname: Zougman
authors.forename: Chanchal
authors.initials: C
authors.lastname: Kumar
authors.forename: Jacek R
authors.initials: JR
authors.lastname: Wisniewski
authors.forename: Wang
authors.initials: W
authors.lastname: Jun
authors.forename: Matthias
authors.initials: M
authors.lastname: Mann
mesh_terms: D000818:Animals; D001826:Body Fluids / Q000737:chemistry*; D002460:Cell Line; D030562:Databases, Protein; D004912:Erythrocytes / Q000737:chemistry; D006801:Humans; D020407:Internet; D008099:Liver / Q000737:chemistry; D013058:Mass Spectrometry; D051379:Mice; D015388:Organelles / Q000737:chemistry*; D020543:Proteome / Q000032:analysis*; D040901:Proteomics; D015203:Reproducibility of Results; D014584:User-Computer Interface
chemical_list: D020543:Proteome