Probing protein higher-order structures by native capillary electrophoresis-mass spectrometry

质谱法 化学 蛋白质组学 毛细管电泳 自上而下的蛋白质组学 色谱法 蛋白质配体 毛细管电泳-质谱法 蛋白质质谱法 分析化学(期刊) 串联质谱法 生物化学 电喷雾电离 基因
作者
Wenjing Zhang,X. D. Yu,Wei Xu
出处
期刊:Trends in Analytical Chemistry [Elsevier BV]
卷期号:157: 116739-116739 被引量:12
标识
DOI:10.1016/j.trac.2022.116739
摘要

The coupling of chromatography with mass spectrometry (MS) has becoming a routine technique in proteomics for protein primary sequence and post translational modification determinations. Up to date, great efforts have been made to extend its capability to probe protein higher order structures (HOS) in the hope of achieving high-throughput protein structure analysis in complex samples. With complementary analytical capabilities, the coupling of native capillary electrophoresis and mass spectrometry (CE-MS) emerges as a promising approach for intact protein and protein complex conformation investigations. This review summarizes recent native CE-MS advances in two aspects: 1. native CE-MS for separation and differentiation of proteoforms; 2. native CE-MS methodology developments for protein HOS related parameter measurements, including protein effective charge, solvent accessible surface area, protein-ligand binding constant, 3D shape and dimensions. In this review, we focus on native CE-MS works with an emphasize on protein HOS information acquisition, and the developments of CE-MS interfaces or methods for top-down proteomics were not covered, which has been well summarized in literature. • In this review, we have discussed recent advances on the hyphenation of CE with MS for probing protein HOSs in native or close to their physiological conditions. • The advances in both CE and MS instrumentation enabled high throughput proteoform analyses, and growing numbers of proterforms are being identified in biological samples. • Besides distinguishing protein proteoforms, CE-nMS methods were also developed to extract protein HOS related structural parameters. • Both methodology and application developments have driven this technology forward, which helped CE-MS to obtain previously inaccessible structural information and expands its application in structural biology.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
oku发布了新的文献求助10
3秒前
风清完成签到,获得积分10
3秒前
JamesPei应助galaxy_zzz采纳,获得10
4秒前
4秒前
asl1994完成签到,获得积分10
5秒前
5秒前
民族风完成签到,获得积分20
5秒前
6秒前
6秒前
LY完成签到,获得积分10
7秒前
7秒前
为去发布了新的文献求助10
7秒前
小鹿不迷路完成签到 ,获得积分10
7秒前
asl1994发布了新的文献求助10
7秒前
一只萌新完成签到,获得积分10
8秒前
lu应助八十七分甜采纳,获得10
8秒前
8秒前
英俊的铭应助王森采纳,获得10
9秒前
9秒前
10秒前
民族风发布了新的文献求助10
10秒前
Nole应助mao采纳,获得10
10秒前
lq8996发布了新的文献求助10
11秒前
12秒前
12秒前
纸轮发布了新的文献求助10
13秒前
14秒前
酷酷阑香发布了新的文献求助10
14秒前
彭于晏应助张陶求采纳,获得10
15秒前
15秒前
领导范儿应助喔喔糖采纳,获得10
16秒前
cuiyuqingcx发布了新的文献求助10
18秒前
wn_xx_wn应助zhan采纳,获得30
18秒前
草履虫完成签到,获得积分10
18秒前
19秒前
19秒前
丰富语蕊应助ayu采纳,获得10
20秒前
603发布了新的文献求助10
20秒前
21秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7583322
求助须知:如何正确求助?哪些是违规求助? 9162033
关于积分的说明 19605817
捐赠科研通 7165367
什么是DOI,文献DOI怎么找? 3266265
关于科研通互助平台的介绍 2431182
邀请新用户注册赠送积分活动 2257688