A dataset of human fetal liver proteome identified by subcellular fractionation and multiple protein separation and identification technology.
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.
Ying
Wantao
W
Department of Genomics and Proteomics, Beijing Institute of Radiation Medicine, Beijing Proteomics Research Center, 27 Taiping Road, Beijing 100850, China.
Jiang
Ying
Y
Guo
Lihai
L
Hao
Yunwei
Y
Zhang
Yangjun
Y
Wu
Songfeng
S
Zhong
Fan
F
Wang
Jinglan
J
Shi
Rong
R
Li
Dong
D
Wan
Ping
P
Li
Xiaohai
X
Wei
Handong
H
Li
Jianqi
J
Wang
Zhongsheng
Z
Xue
Xiaofang
X
Cai
Yun
Y
Zhu
Yunping
Y
Qian
Xiaohong
X
He
Fuchu
F
D002462:Cell Membrane / Q000378:metabolism; D002853:Chromatography, Liquid; D019295:Computational Biology; D030562:Databases, Protein; D015180:Electrophoresis, Gel, Two-Dimensional; D005333:Fetus / Q000378:metabolism*; D006801:Humans; D008099:Liver / Q000378:metabolism*; D011506:Proteins / Q000302:isolation & purification / Q000378:metabolism; D020543:Proteome; D040901:Proteomics; D020539:Sequence Analysis, Protein; D021241:Spectrometry, Mass, Electrospray Ionization; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; D013347:Subcellular Fractions
D011506:Proteins; D020543:Proteome