High-efficiency recognition and identification of disulfide bonded peptides in rat neuropeptidome using targeted electron transfer dissociation tandem mass spectrometry

Yu, Xi; Khani, Abbas; Ye, Xueting; Petruzziello, Filomena; Gao, Huiyuan; Zhang, Xiaozhe; Rainer, Gregor

doi:10.1021/ac504872z

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High-efficiency recognition and identification of disulfide bonded peptides in rat neuropeptidome using targeted electron transfer dissociation tandem mass spectrometry

Yu, Xi Division of Biological Technology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
Khani, Abbas Visual Cognition Laboratory, Department of Medicine, University of Fribourg, Switzerland
Ye, Xueting Shenyang Pharmaceutical University, Shenyang, China
Petruzziello, Filomena Visual Cognition Laboratory, Department of Medicine, University of Fribourg, Switzerland
Gao, Huiyuan Shenyang Pharmaceutical University, Shenyang, China
Zhang, Xiaozhe Division of Biological Technology, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
Rainer, Gregor Visual Cognition Laboratory, Department of Medicine, University of Fribourg, Switzerland

01.12.2015

Published in:

Analytical Chemistry. - 2015, vol. 87, no. 23, p. 11646–11651

English The main goal of the present study is to develop a method to recognize and identify endogenous intrachain disulfide bonded peptide, which are rarely sequenced in current peptidomics studies. In order to achieve highly efficient detection of these peptides in a neuropeptidome analysis, we alkylated the peptides, mined the raw mass spectrometry data, and then recognized the candidates of untreated disulfide bonded peptides from unalkylated peptide extracts. After removing more than 90% features, targeted electron transfer dissociation fragmentation was performed for detecting and fragmenting disulfide bonded peptides, and even most of them were present in low abundance in the original sample. Diverse endogenous disulfide bonded peptides were then detected and sequenced, opening up new perspectives for comprehensively understanding the response of a neuropeptidome.

Faculty

Faculté des sciences et de médecine

Department

Département de Médecine

Language