A Dataset of Human Fetal Liver Proteome Identified by Subcellular Fractionation and Multiple Protein Separation and Identification Technology

• DOI: 10.1074/mcp.m500344-mcp200
• Publication Date: 2006-07-01T00:45:13Z
• Authors: Wantao Ying; Ying Jiang; Lihai Guo; Yunwei Hao; Yangjun Zhang; Songfeng Wu; Fan Zhong; Jinglan Wang; Rong Shi; Dong Li; Ping Wan; Xiaohai Li; Handong Wei; Jianqi Li; Zhongsheng Wang; Xiaofang Xue; Yun Cai; Yunping Zhu; Xiaohong Qian; Fuchu He
• Keywords: Proteome; Protein sequencing; Human proteome project; Protein isoform; Identification

A high throughput process including subcellular fractionation and multiple protein separation identification technology allowed us to establish the expression profile of human fetal liver, which was composed at least 2,495 distinct proteins 568 non-isoform groups identified from 64,960 peptides 24,454 peptides. In addition basic mentioned above, MS data were used for complementary novel mining. By doing analysis with integrated protein, expressed sequence tag, genome datasets, 223 15 complementarily quality MS/MS data.