4.8 Article

Identification of cross-linked peptides from complex samples

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NATURE METHODS
卷 9, 期 9, 页码 904-+

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NATURE PUBLISHING GROUP
DOI: 10.1038/nmeth.2099

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资金

  1. Ministry of Science and Technology of China [2007AA02Z1A7, 2010CB835203, 2008AA022310, 2010CB835402, 2012CB910602, 2010CB912701]
  2. CAS Knowledge Innovation Program [KGCX1-YW-13]
  3. ICT basic research grant
  4. municipal government of Beijing

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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.

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