中国科学院大连化学物理研究所机构知识库
Advanced  
DICP OpenIR  > 中国科学院大连化学物理研究所  > 期刊论文
学科主题: 物理化学
题名: Systematic Analysis of Protein Phosphorylation Networks From Phosphoproteomic Data
作者: Song, Chunxia1;  Ye, Mingliang1;  Liu, Zexian2;  Cheng, Han2;  Jiang, Xinning1;  Han, Guanghui1;  Zhou Songyang3;  Tan, Yexiong4;  Wang, Hongyang4;  Ren, Jian3;  Xue, Yu2;  Zou, Hanfa1
通讯作者: 邹汉法 ;  薛宇 ;  任健
刊名: MOLECULAR & CELLULAR PROTEOMICS
发表日期: 2012-10-01
DOI: 10.1074/mcp.M111.012625
卷: 11, 期:10, 页:1070-1083
收录类别: SCI
文章类型: Article
部门归属: 18
项目归属: 1809
产权排名: 1,1
WOS标题词: Science & Technology ;  Life Sciences & Biomedicine
类目[WOS]: Biochemical Research Methods
研究领域[WOS]: Biochemistry & Molecular Biology
英文摘要: In eukaryotes, hundreds of protein kinases (PKs) specifically and precisely modify thousands of substrates at specific amino acid residues to faithfully orchestrate numerous biological processes, and reversibly determine the cellular dynamics and plasticity. Although over 100,000 phosphorylation sites (p-sites) have been experimentally identified from phosphoproteomic studies, the regulatory PKs for most of these sites still remain to be characterized. Here, we present a novel software package of iGPS for the prediction of in vivo site-specific kinase-substrate relations mainly from the phosphoproteomic data. By critical evaluations and comparisons, the performance of iGPS is satisfying and better than other existed tools. Based on the prediction results, we modeled protein phosphorylation networks and observed that the eukaryotic phospho-regulation is poorly conserved at the site and substrate levels. With an integrative procedure, we conducted a large-scale phosphorylation analysis of human liver and experimentally identified 9719 p-sites in 2998 proteins. Using iGPS, we predicted a human liver protein phosphorylation networks containing 12,819 potential site-specific kinase-substrate relations among 350 PKs and 962 substrates for 2633 p-sites. Further statistical analysis and comparison revealed that 127 PKs significantly modify more or fewer p-sites in the liver protein phosphorylation networks against the whole human protein phosphorylation network. The largest data set of the human liver phosphoproteome together with computational analyses can be useful for further experimental consideration. This work contributes to the understanding of phosphorylation mechanisms at the systemic level, and provides a powerful methodology for the general analysis of in vivo post-translational modifications regulating sub-proteomes. Molecular & Cellular Proteomics 11: 10.1074/mcp.M111.012625, 1070-1083, 2012.
关键词[WOS]: HUMAN LIVER-TISSUE ;  IN-VIVO ;  KINASE ;  SITES ;  SPECIFICITY ;  RESOURCE ;  YEAST ;  PHOSPHOPEPTIDES ;  PHOSPHO.ELM ;  ELONGATION
语种: 英语
WOS记录号: WOS:000310211000017
Citation statistics: 
内容类型: 期刊论文
URI标识: http://cas-ir.dicp.ac.cn/handle/321008/118127
Appears in Collections:中国科学院大连化学物理研究所_期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
2012izq9GJYlDY.PDF(2543KB)----开放获取--View Download

作者单位: 1.Chinese Acad Sci, CAS Key Lab Separat Sci Analyt Chem, Natl Chromatog RandA Ctr, Dalian Inst Chem Phys, Dalian 116023, Liaoning, Peoples R China
2.Huazhong Univ Sci & Technol, Hubei Bioinformat & Mol Imaging Key Lab, Dept Biomed Engn, Coll Life Sci & Technol, Wuhan 430074, Hubei, Peoples R China
3.Sun Yat Sen Univ, State Key Lab Biocontrol, Sch Life Sci, Guangzhou 510275, Guangdong, Peoples R China
4.Second Mil Med Univ, Int Cooperat Lab Signal Transduct, Eastern Hepatobiliary Surg Inst, Shanghai 200438, Peoples R China

Recommended Citation:
Song, Chunxia,Ye, Mingliang,Liu, Zexian,et al. Systematic Analysis of Protein Phosphorylation Networks From Phosphoproteomic Data[J]. MOLECULAR & CELLULAR PROTEOMICS,2012,11(10):1070-1083.
Service
 Recommend this item
 Sava as my favorate item
 Show this item's statistics
 Export Endnote File
Google Scholar
 Similar articles in Google Scholar
 [Song, Chunxia]'s Articles
 [Ye, Mingliang]'s Articles
 [Liu, Zexian]'s Articles
CSDL cross search
 Similar articles in CSDL Cross Search
 [Song, Chunxia]‘s Articles
 [Ye, Mingliang]‘s Articles
 [Liu, Zexian]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
  Add to CiteULike  Add to Connotea  Add to Del.icio.us  Add to Digg  Add to Reddit 
文件名: 2012izq9GJYlDY.PDF
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Powered by CSpace