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dc.contributor.authorHuang, Kai-Yaoen_US
dc.contributor.authorWu, Hsin-Yien_US
dc.contributor.authorChen, Yi-Juen_US
dc.contributor.authorLu, Cheng-Tsungen_US
dc.contributor.authorSu, Min-Gangen_US
dc.contributor.authorHsieh, Yun-Chungen_US
dc.contributor.authorTsai, Chih-Mingen_US
dc.contributor.authorLin, Kuo-Ien_US
dc.contributor.authorHuang, Hsien-Daen_US
dc.contributor.authorLee, Tzong-Yien_US
dc.contributor.authorChen, Yu-Juen_US
dc.date.accessioned2014-12-08T15:36:08Z-
dc.date.available2014-12-08T15:36:08Z-
dc.date.issued2014-04-25en_US
dc.identifier.issn1758-0463en_US
dc.identifier.urihttp://dx.doi.org/10.1093/database/bau034en_US
dc.identifier.urihttp://hdl.handle.net/11536/24475-
dc.description.abstractProtein phosphorylation catalyzed by kinases plays crucial roles in regulating a variety of intracellular processes. Owing to an increasing number of in vivo phosphorylation sites that have been identified by mass spectrometry (MS)-based proteomics, the RegPhos, available online at http://csb.cse.yzu.edu.tw/RegPhos2/, was developed to explore protein phosphorylation networks in human. In this update, we not only enhance the data content in human but also investigate kinase-substrate phosphorylation networks in mouse and rat. The experimentally validated phosphorylation sites as well as their catalytic kinases were extracted from public resources, and MS/MS phosphopeptides were manually curated from research articles. RegPhos 2.0 aims to provide a more comprehensive view of intracellular signaling networks by integrating the information of metabolic pathways and protein-protein interactions. A case study shows that analyzing the phosphoproteome profile of time-dependent cell activation obtained from Liquid chromatography-mass spectrometry (LC-MS/MS) analysis, the RegPhos deciphered not only the consistent scheme in B cell receptor (BCR) signaling pathway but also novel regulatory molecules that may involve in it. With an attempt to help users efficiently identify the candidate biomarkers in cancers, 30 microarray experiments, including 39 cancerous versus normal cells, were analyzed for detecting cancer-specific expressed genes coding for kinases and their substrates. Furthermore, this update features an improved web interface to facilitate convenient access to the exploration of phosphorylation networks for a group of genes/proteins. Database URL: http://csb.cse.yzu.edu.tw/RegPhos2/en_US
dc.language.isoen_USen_US
dc.titleRegPhos 2.0: an updated resource to explore protein kinase-substrate phosphorylation networks in mammalsen_US
dc.typeArticleen_US
dc.identifier.doi10.1093/database/bau034en_US
dc.identifier.journalDATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATIONen_US
dc.citation.volumeen_US
dc.citation.issueen_US
dc.citation.epageen_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000336256400001-
dc.citation.woscount2-
Appears in Collections:Articles


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