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This Article Full Text Full Text (PDF) Supplemental Data All Versions of this Article: M500344-MCP200v1 5/9/1703    most recent Submit a response Alert me when this article is cited Alert me when eLetters are posted Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Request Permissions Glossary Citing Articles Citing Articles via Google Scholar Google Scholar Articles by Ying, W. Articles by He, F. Search for Related Content PubMed PubMed Citation Articles by Ying, W. Articles by He, F. Social Bookmarking                      What's this?

Molecular & Cellular Proteomics 5:1703-1707, 2006.
© 2006 by The American Society for Biochemistry and Molecular Biology, Inc.

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Dataset

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

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^,,||,

From the Department of Genomics and Proteomics, Beijing Institute of Radiation Medicine, Beijing Proteomics Research Center, 27 Taiping Road, Beijing 100850, China, Beijing Proteome Research Center, 33 Life Garden Road, Beijing 102206, China, and ^|| Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China

A high throughput process including subcellular fractionation and multiple protein separation and identification technology allowed us to establish the protein expression profile of human fetal liver, 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, expressed sequence tag, and genome datasets, 223 proteins and 15 peptides were complementarily identified with high quality MS/MS data.

To whom correspondence may be addressed. E-mail: qianxh{at}nic.bmi.ac.cn

To whom correspondence may be addressed. Tel./Fax: 8610-68177417 or 8610-68171208; E-mail: hefc{at}nic.bmi.ac.cn

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