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MAPU:马克斯·普朗克细胞器、细胞、组织和体液蛋白质组统一数据库。

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

作者信息

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

机构信息

Department of Proteomics and Signal Transduction, Max-Planck-Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany.

出版信息

Nucleic Acids Res. 2007 Jan;35(Database issue):D771-9. doi: 10.1093/nar/gkl784. Epub 2006 Nov 7.

DOI:10.1093/nar/gkl784
PMID:17090601
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1781136/
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.

摘要

基于质谱(MS)的蛋白质组学已成为一种强大的技术,用于绘制细胞器、细胞类型和组织的蛋白质组成图谱。在我们部门,绘制这些蛋白质组的大规模工作得到了马克斯·普朗克统一(MAPU)蛋白质组数据库的补充。MAPU包含多个体液蛋白质组,包括血浆、尿液和脑脊液。细胞系已被绘制到数千种蛋白质的深度,红细胞蛋白质组也已得到深入分析。肝脏蛋白质组由3200种蛋白质代表。通过采用高分辨率质谱和严格的验证标准,MAPU中的假阳性识别率低于1:1000。因此,MAPU数据集可作为生物标志物发现中的参考蛋白质组。MAPU包含识别每种蛋白质的肽段、测量的质量、分数和强度,可通过细胞或身体部位的可点击界面在http://www.mapuproteome.com上免费获取。蛋白质组数据可以通过蛋白质名称、登录号、序列相似性、肽序列和注释信息在不同蛋白质组之间进行查询。在至少一个蛋白质组中已经鉴定出超过4500种小鼠蛋白质和2500种人类蛋白质。MAPU中提供了基本注释信息以及与其他公共数据库的链接,我们计划添加更多分析工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbe9/1781136/205a531b7315/gkl784f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbe9/1781136/5fea08cd4d35/gkl784f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbe9/1781136/2d7129d00e35/gkl784f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbe9/1781136/617f641aa54d/gkl784f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbe9/1781136/205a531b7315/gkl784f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbe9/1781136/5fea08cd4d35/gkl784f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbe9/1781136/2d7129d00e35/gkl784f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbe9/1781136/617f641aa54d/gkl784f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbe9/1781136/205a531b7315/gkl784f4.jpg

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