题名 | An integrated strategy for high-sensitive and multi-level glycoproteome analysis from low micrograms of protein samples |
作者 | |
通讯作者 | Tian, Ruijun |
发表日期 | 2019-08-30
|
DOI | |
发表期刊 | |
ISSN | 0021-9673
|
EISSN | 1873-3778
|
卷号 | 1600页码:46-54 |
摘要 | Glycosylation, as a biologically important protein post-translational modification, often alters on both glycosites and glycans, simultaneously. However, most of current approaches focused on biased profiling of either glycosites or glycans, and limited by time-consuming process and milligrams of starting protein material. We describe here a simple and integrated spintip-based glycoproteomics technology (termed Glyco-SISPROT) for achieving a comprehensive view of glycoproteome with shorter sample processing time and low microgram starting material. By carefully integrating and optimizing SCX, C18 and Concanavalin A (Con A) packing material and their combination in spintip format, both predigested peptides and protein lysates could be processed by Glyco-SISPROT with high efficiency. More importantly, deglycopeptide, intact glycopeptide and glycans released by multiple glycosidases could be readily collected from the same Glyco-SISPROT workflow for LC-MS analysis. In total, above 1850 glycosites in (1) over tilde 770 unique deglycopeptides were characterized from mouse liver by using either 100 mu g of predigested peptides or directly using 100 mu g of protein lysates, in which about 30% of glycosites were released by both PNGase F and Endos. To the best of our knowledge, this approach should be one of the most comprehensive glycoproteomic approaches by using limited protein starting material. One significant benefit of Glyco-SISPROT is that whole processing time is dramatically reduced from a few days to less than 6 h with good reproducibility when protein lysates were directly processed by Glyco-SISPROT. We expect that this method will be suitable for multi-level glycoproteome analysis of rare biological samples with high sensitivity. (C) 2019 Elsevier B.V. All rights reserved. |
关键词 | |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
|
学校署名 | 通讯
|
资助项目 | Guangdong Provincial Grants[2016A030312016]
; Guangdong Provincial Grants[2017B030301018]
|
WOS研究方向 | Biochemistry & Molecular Biology
; Chemistry
|
WOS类目 | Biochemical Research Methods
; Chemistry, Analytical
|
WOS记录号 | WOS:000472687800007
|
出版者 | |
EI入藏号 | 20191706834624
|
EI主题词 | Peptides
|
EI分类号 | Biology:461.9
; Organic Compounds:804.1
|
ESI学科分类 | CHEMISTRY
|
来源库 | Web of Science
|
引用统计 |
被引频次[WOS]:11
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/25279 |
专题 | 理学院_化学系 南方科技大学医学院 生命科学学院_生物系 南方科技大学第一附属医院 |
作者单位 | 1.Harbin Inst Technol, Sch Chem & Chem Engn, Harbin 150080, Heilongjiang, Peoples R China 2.Southern Univ Sci & Technol, Dept Chem, Shenzhen 518055, Peoples R China 3.Southern Univ Sci & Technol, Guangdong Prov Key Lab Cell Microenvironm & Dis R, Shenzhen 518055, Peoples R China 4.Chinese Acad Sci, Dalian Inst Chem Phys, CAS Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China 5.Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen Peoples Hosp, Shenzhen 518020, Peoples R China 6.Hong Kong Baptist Univ, Dept Chem, State Key Lab Environm & Biol Anal, Hong Kong, Peoples R China |
第一作者单位 | 化学系; 南方科技大学医学院 |
通讯作者单位 | 化学系; 南方科技大学医学院 |
推荐引用方式 GB/T 7714 |
Gao, Weina,Li, Hongjie,Liu, Liping,et al. An integrated strategy for high-sensitive and multi-level glycoproteome analysis from low micrograms of protein samples[J]. JOURNAL OF CHROMATOGRAPHY A,2019,1600:46-54.
|
APA |
Gao, Weina.,Li, Hongjie.,Liu, Liping.,Huang, Peiwu.,Wang, Zhikun.,...&Tian, Ruijun.(2019).An integrated strategy for high-sensitive and multi-level glycoproteome analysis from low micrograms of protein samples.JOURNAL OF CHROMATOGRAPHY A,1600,46-54.
|
MLA |
Gao, Weina,et al."An integrated strategy for high-sensitive and multi-level glycoproteome analysis from low micrograms of protein samples".JOURNAL OF CHROMATOGRAPHY A 1600(2019):46-54.
|
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
Gao-2019-An integrat(2553KB) | -- | -- | 限制开放 | -- |
|
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论