Submitted on October 21, 2005
Revised on June 16, 2006
Accepted on June 28, 2006
A dataset of human fetal liver proteome identified by subcellular fractionation and multiple protein separation and identification technology
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, and Fuchu He
Department of Genomics and Proteomics, Beijing Institute of Radiation Medicine, Beijing Proteomics Research Center, Beijing 100850
Corresponding Author: hefc{at}nic.bmi.ac.cn
A high throughput process including sub-cellular fractionation and multiple protein separation and identification technology allowed us to establish the protein expression profile of Human fetal liver (HFL), which was composed of, at least 2,495 distinct proteins and 568 non-isoform groups identified from 64,960 peptides and 24,454 distinct peptides. In addition to the basic protein identification mentioned above, the MS data were used for complementary identification and novel protein mining. By doing the analysis with integrated protein, EST and genome datasets, 223 proteins and 15 peptides were complementarily identified with high quality MS/MS data.