Identification of cross-linked peptides from complex samples

被引：456

作者：

Yang, Bing ^{[1
,2
]}

Wu, Yan-Jie ^{[3
]}

Zhu, Ming ^{[1
,4
]}

Fan, Sheng-Bo ^{[3
]}

Lin, Jinzhong ^{[1
]}

Zhang, Kun ^{[3
]}

Li, Shuang ^{[1
]}

Chi, Hao ^{[3
]}

Li, Yu-Xin ^{[1
]}

Chen, Hai-Feng ^{[3
]}

Luo, Shu-Kun ^{[1
]}

Ding, Yue-He ^{[1
]}

Wang, Le-Heng ^{[3
]}

Hao, Zhiqi ^{[5
]}

Xiu, Li-Yun ^{[3
]}

Chen, She ^{[1
]}

Ye, Keqiong ^{[1
]}

He, Si-Min ^{[3
]}

Dong, Meng-Qiu ^{[1
]}

机构：

[1] Natl Inst Biol Sci, Beijing, Peoples R China

[2] China Agr Univ, Coll Biol Sci, Beijing 100094, Peoples R China

[3] Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing, Peoples R China

[4] Beijing Normal Univ, Coll Life Sci, Beijing 100875, Peoples R China

[5] Thermo Fisher Sci, San Jose, CA USA

来源：

NATURE METHODS | 2012年 / 9卷 / 09期

关键词：

PRE-RIBOSOMAL-RNA; PROTEIN; DATABASE; LINKING;

D O I：

10.1038/nmeth.2099

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We have developed pLink, software for data analysis of crosslinked proteins coupled with mass-spectrometry analysis. pLink reliably estimates false discovery rate in cross-link identification and is compatible with multiple homo-or hetero-bifunctional cross-linkers. We validated the program with proteins of known structures, and we further tested it on protein complexes, crude immunoprecipitates and whole-cell lysates. We show that it is a robust tool for protein-structure and protein-protein-interaction studies.

引用

页码：904 / +

页数：6

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