title: Sys-BodyFluid: a systematical database for human body fluid proteome research.
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/.
authors.affiliation: Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
authors.forename: Su-Jun
authors.initials: SJ
authors.lastname: Li
authors.forename: Mao
authors.initials: M
authors.lastname: Peng
authors.forename: Hong
authors.initials: H
authors.lastname: Li
authors.forename: Bo-Shu
authors.initials: BS
authors.lastname: Liu
authors.forename: Chuan
authors.initials: C
authors.lastname: Wang
authors.forename: Jia-Rui
authors.initials: JR
authors.lastname: Wu
authors.forename: Yi-Xue
authors.initials: YX
authors.lastname: Li
authors.forename: Rong
authors.initials: R
authors.lastname: Zeng
mesh_terms: D001826:Body Fluids / Q000737:chemistry* / Q000378:metabolism; D030562:Databases, Protein; D006801:Humans; D011506:Proteins / Q000737:chemistry / Q000235:genetics / Q000378:metabolism; D020543:Proteome / Q000032:analysis*; D040901:Proteomics; D012106:Research
chemical_list: D011506:Proteins; D020543:Proteome