中文版 | English
题名

Combinatory Data-Independent Acquisition and Parallel Reaction Monitoring Method for Deep Profiling of Gangliosides

作者
通讯作者Cai, Zongwei; Tian, Ruijun
发表日期
2020-08-04
DOI
发表期刊
ISSN
0003-2700
EISSN
1520-6882
卷号92期号:15页码:10830-10838
摘要
Ganglioside is an important class of lipid species involved in intercellular signaling and various diseases, especially for neurodegenerative diseases. Systematic ganglioside profiling is challenging because of their naturally low abundance and highly diverse species. Herein, a new data-independent acquisition and parallel reaction monitoring (DIA/PRM) method with superior sensitivity was developed. The untargeted DIA acquisition consecutively records all the precursor ion and fragment ions at the same time, while the targeted PRM analysis with versatile higher collisional dissociation generates full MS/MS spectra for structure elucidation and verification. As compared with traditional data-dependent acquisition (DDA), the DIA/PRM method unbiasedly detected the majority of abundant ganglioside species and as low as 50 pg of ganglioside in an untargeted manner. Gangliosides in four kinds of biological samples including the mouse brain, mouse plasma, HeLa cell, and human colon cancer tissue were systematically identified, and low-abundance ganglioside species were further extended on the basis of linear chromatography retention rules of the most frequently detected ganglioside species. A total of 383 ganglioside features were defined with 329 of them derived from 32 ganglioside species. Taking advantage of the high-resolution MS analysis, rare ganglioside species were further elucidated according to their characteristic fragment ions and neutral losses. In total, 18 gangliosides with a ceramide carbon number from 20 to 25 and modified gangliosides, including 18 acetylated, 8 diacetylated, 1 phosphorylated, 36 N-glycolyneuraminic acid (NeuGc)-containing, and 7 di-NeuGc-containing gangliosides, were newly identified. The developed DIA/PRM method therefore generated a rich ganglioside resource for further functional exploration and is a unique alternative for DDA analysis for global ganglioside profiling in various biological systems.
相关链接[来源记录]
收录类别
SCI ; EI
语种
英语
重要成果
NI论文
学校署名
通讯
资助项目
National Natural Science Foundation of China[21904057][91953118][21904058][21705108]
WOS研究方向
Chemistry
WOS类目
Chemistry, Analytical
WOS记录号
WOS:000558761500082
出版者
EI入藏号
20203809190961
EI主题词
Ions ; Chromatography ; Lanthanum compounds
EI分类号
Medicine and Pharmacology:461.6
ESI学科分类
CHEMISTRY
来源库
Web of Science
引用统计
被引频次[WOS]:15
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/186576
专题理学院_化学系
公共分析测试中心
前沿与交叉科学研究院
南方科技大学第一附属医院
作者单位
1.Southern Univ Sci & Technol, Coll Sci, Dept Chem, Shenzhen 518055, Peoples R China
2.Hong Kong Baptist Univ, Dept Chem, State Key Lab Environm & Biol Anal, Hong Kong, Peoples R China
3.Southern Univ Sci & Technol, SUSTech Core Res Facil, Shenzhen 518055, Peoples R China
4.SUSTech, Affiliated Hosp 1, Dept Oncol, Shenzhen 518020, Peoples R China
5.Shenzhen Peoples Hosp, Shenzhen 518020, Peoples R China
6.Southern Univ Sci & Technol, SUSTech Acad Adv Interdisciplinary Studies, Shenzhen 518055, Peoples R China
7.Shanghai Jiao Tong Univ, Sch Med, Xinhua Hosp, Dept Gen Surg, Shanghai 200092, Peoples R China
第一作者单位公共分析测试中心
通讯作者单位化学系
推荐引用方式
GB/T 7714
Li, Hua,Xu, Ruilian,Yang, Lijun,et al. Combinatory Data-Independent Acquisition and Parallel Reaction Monitoring Method for Deep Profiling of Gangliosides[J]. ANALYTICAL CHEMISTRY,2020,92(15):10830-10838.
APA
Li, Hua.,Xu, Ruilian.,Yang, Lijun.,Luan, Hemi.,Chen, Shili.,...&Tian, Ruijun.(2020).Combinatory Data-Independent Acquisition and Parallel Reaction Monitoring Method for Deep Profiling of Gangliosides.ANALYTICAL CHEMISTRY,92(15),10830-10838.
MLA
Li, Hua,et al."Combinatory Data-Independent Acquisition and Parallel Reaction Monitoring Method for Deep Profiling of Gangliosides".ANALYTICAL CHEMISTRY 92.15(2020):10830-10838.
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