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系统-体液:一个用于人体体液蛋白质组研究的系统性数据库。

Sys-BodyFluid: a systematical database for human body fluid proteome research.

作者信息

Li Su-Jun, Peng Mao, Li Hong, Liu Bo-Shu, Wang Chuan, Wu Jia-Rui, Li Yi-Xue, Zeng Rong

机构信息

Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.

出版信息

Nucleic Acids Res. 2009 Jan;37(Database issue):D907-12. doi: 10.1093/nar/gkn849. Epub 2008 Oct 31.

Abstract

Recently, body fluids have widely become an important target for proteomic research and proteomic study has produced more and more body fluid related protein data. A database is needed to collect and analyze these proteome data. Thus, we developed this web-based body fluid proteome database Sys-BodyFluid. It contains eleven kinds of body fluid proteomes, including plasma/serum, urine, cerebrospinal fluid, saliva, bronchoalveolar lavage fluid, synovial fluid, nipple aspirate fluid, tear fluid, seminal fluid, human milk and amniotic fluid. Over 10,000 proteins are presented in the Sys-BodyFluid. Sys-BodyFluid provides the detailed protein annotations, including protein description, Gene Ontology, domain information, protein sequence and involved pathways. These proteome data can be retrieved by using protein name, protein accession number and sequence similarity. In addition, users can query between these different body fluids to get the different proteins identification information. Sys-BodyFluid database can facilitate the body fluid proteomics and disease proteomics research as a reference database. It is available at http://www.biosino.org/bodyfluid/.

摘要

最近,体液已广泛成为蛋白质组学研究的重要对象,并且蛋白质组学研究已产生越来越多与体液相关的蛋白质数据。需要一个数据库来收集和分析这些蛋白质组数据。因此,我们开发了这个基于网络的体液蛋白质组数据库Sys-BodyFluid。它包含十一种体液蛋白质组,包括血浆/血清、尿液、脑脊液、唾液、支气管肺泡灌洗液、滑液、乳头抽吸液、泪液、精液、人乳和羊水。Sys-BodyFluid中呈现了超过10000种蛋白质。Sys-BodyFluid提供详细的蛋白质注释,包括蛋白质描述、基因本体论、结构域信息、蛋白质序列和涉及的途径。这些蛋白质组数据可以通过使用蛋白质名称、蛋白质登录号和序列相似性来检索。此外,用户可以在这些不同的体液之间进行查询,以获得不同的蛋白质鉴定信息。Sys-BodyFluid数据库作为一个参考数据库,可以促进体液蛋白质组学和疾病蛋白质组学研究。可通过http://www.biosino.org/bodyfluid/访问该数据库。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea05/2686600/64a670cdc4b9/gkn849f1.jpg

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