亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Optimal Dissociation Methods Differ for N- and O-glycopeptides

糖蛋白组学 糖肽 电子转移离解 化学 串联质谱法 质谱法 计算生物学 色谱法 计算机科学 生物化学 生物 抗生素
作者
Nicholas M. Riley,Stacy A. Malaker,Marc D. Drießen,Carolyn R. Bertozzi
标识
DOI:10.26434/chemrxiv.12062685.v2
摘要

Site-specific characterization of glycosylation requires intact glycopeptide analysis, and recent efforts have focused on how to best interrogate glycopeptides using tandem mass spectrometry (MS/MS). Beam-type collisional activation, i.e., higher-energy collisional dissociation (HCD), has been a valuable approach, but stepped collision energy HCD (sceHCD) and electron transfer dissociation with HCD supplemental activation (EThcD) have emerged as potentially more suitable alternatives. Both sceHCD and EThcD have been used with success in large-scale glycoproteomic experiments, but they each incur some degree of compromise. Most progress has occurred in the area N-glycoproteomics. There is growing interest in extending this progress to O-glycoproteomics, which necessitates comparisons of method performance for the two classes of glycopeptides. Here, we systematically explore the advantages and disadvantages of conventional HCD, sceHCD, ETD, and EThcD for intact glycopeptide analysis and determine their suitability for both N- and O-glycoproteomic applications. For N-glycopeptides, HCD and sceHCD generate similar numbers of identifications, although sceHCD generally provides higher quality spectra. Both significantly outperform EThcD methods, indicating that ETD-based methods are not required for routine N-glycoproteomics. Conversely, ETD-based methods, especially EThcD, are indispensable for site-specific analyses of O-glycopeptides. Our data show that O-glycopeptides cannot be robustly characterized with HCD-centric methods that are sufficient for N-glycopeptides, and glycoproteomic methods aiming to characterize O-glycopeptides must be constructed accordingly.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
zzzhhh发布了新的文献求助30
3秒前
粥喝不喝完成签到,获得积分10
3秒前
爆米花应助snah采纳,获得30
8秒前
9秒前
科研通AI2S应助某某某采纳,获得10
12秒前
zzzhhh完成签到,获得积分10
14秒前
小卡啦完成签到 ,获得积分10
26秒前
研友_VZG7GZ应助标致的元柏采纳,获得10
27秒前
tracey完成签到 ,获得积分10
27秒前
酷波er应助某某某采纳,获得10
28秒前
dxwy完成签到,获得积分10
29秒前
儒雅的若翠完成签到,获得积分10
33秒前
科研通AI2S应助科研通管家采纳,获得10
35秒前
35秒前
小二郎应助科研通管家采纳,获得10
35秒前
monster完成签到 ,获得积分10
42秒前
结实的凌波完成签到,获得积分20
47秒前
NexusExplorer应助骆十八采纳,获得30
49秒前
QYR完成签到,获得积分10
51秒前
53秒前
星辰大海应助xuan采纳,获得10
53秒前
文静的峻熙完成签到,获得积分10
54秒前
番茄发布了新的文献求助10
56秒前
Rainbow7完成签到,获得积分10
56秒前
yingying发布了新的文献求助10
58秒前
1分钟前
yuuu完成签到 ,获得积分10
1分钟前
战神林北完成签到,获得积分10
1分钟前
1分钟前
xuan发布了新的文献求助10
1分钟前
snah发布了新的文献求助30
1分钟前
NexusExplorer应助Wellbeing采纳,获得10
1分钟前
1分钟前
大个应助snah采纳,获得30
1分钟前
1分钟前
在水一方完成签到 ,获得积分10
1分钟前
平平发布了新的文献求助10
1分钟前
1分钟前
1分钟前
蓝醉澹翠妖娆完成签到,获得积分10
1分钟前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
Shining Light on the Dark Side of Personality 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3307263
求助须知:如何正确求助?哪些是违规求助? 2940973
关于积分的说明 8499960
捐赠科研通 2615205
什么是DOI,文献DOI怎么找? 1428784
科研通“疑难数据库(出版商)”最低求助积分说明 663525
邀请新用户注册赠送积分活动 648382