Sequential Precipitation and Delipidation Enables Efficient Enrichment of Low-Molecular Weight Proteins and Peptides from Human Plasma

化学 自下而上蛋白质组学 色谱法 生物标志物发现 消化(炼金术) 样品制备 质谱法 液相色谱-质谱法 生物化学 蛋白质组学 串联质谱法 蛋白质质谱法 基因
作者
Na Li,Yue Zhou,Jifeng Wang,Lili Niu,Qing Zhang,Lang Sun,Xiang Ding,Xiaojing Guo,Zhensheng Xie,Nali Zhu,Mengmeng Zhang,Xiulan Chen,Tanxi Cai,Fuquan Yang
出处
期刊:Journal of Proteome Research [American Chemical Society]
卷期号:19 (8): 3340-3351 被引量:28
标识
DOI:10.1021/acs.jproteome.0c00232
摘要

Low-molecular weight proteins and peptides (LMWPs, <30 kDa) in human plasma serve as potential biomarkers or drug targets and are endowed with desirable traits for biological and clinical studies. However, the identification of LMWPs from plasma is retarded by high-abundance proteins, high-molecular weight proteins, and lipids. Here, we present a sequential precipitation and delipidation (SPD) method for the efficient enrichment of LMWPs based on methyl-tert-butyl ether/methanol/water systems. The enriched LMWP sample was analyzed by single-shot liquid chromatography–tandem mass spectrometry employing both HCD and EThcD without tryptic digestion, and 725 peptides were identified on average. The LMWP sample was also digested and analyzed using a bottom-up proteomics pipeline, and 289 proteins were identified, of which 129 (44.6%) proteins were less than 30 kDa and lipoprotein-associated proteins were significantly enriched. Additionally, 25 neuropeptides and 19 long noncoding RNA-encoded polypeptides were identified. Taken together, the SPD method shows good sensitivity and reproducibility when compared with other enrichment methods and has great potential for clinical biomarker discovery and application.
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
刚刚
sssaasa发布了新的文献求助10
刚刚
共享精神应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
在水一方应助科研通管家采纳,获得10
1秒前
1秒前
wuwa完成签到,获得积分10
1秒前
深情安青应助科研通管家采纳,获得10
1秒前
1秒前
深情安青应助科研通管家采纳,获得10
1秒前
酷波er应助科研通管家采纳,获得10
2秒前
2秒前
heekkll应助科研通管家采纳,获得10
2秒前
传奇3应助科研通管家采纳,获得10
2秒前
顾矜应助科研通管家采纳,获得10
2秒前
星辰大海应助科研通管家采纳,获得10
2秒前
yyyy应助科研通管家采纳,获得10
2秒前
3秒前
dd发布了新的文献求助30
3秒前
3秒前
3秒前
无花果应助科研通管家采纳,获得10
3秒前
3秒前
星辰大海应助科研通管家采纳,获得10
3秒前
3秒前
今后应助科研通管家采纳,获得10
3秒前
liuerlong发布了新的文献求助10
3秒前
汉堡包应助科研通管家采纳,获得10
3秒前
MozzieMiao应助科研通管家采纳,获得20
4秒前
烟花应助温迪采纳,获得30
4秒前
4秒前
4秒前
华仔应助科研通管家采纳,获得10
4秒前
开心的元菱完成签到 ,获得积分10
4秒前
美罗培南完成签到 ,获得积分0
4秒前
ms发布了新的文献求助10
5秒前
马嘉祺完成签到,获得积分10
5秒前
仙人球完成签到,获得积分10
7秒前
lin发布了新的文献求助10
7秒前
高分求助中
(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
Autoparametric Resonance in Mechanical Systems 1000
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 500
Auslegungsgeschichte 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 7643119
求助须知:如何正确求助?哪些是违规求助? 9216134
关于积分的说明 19771114
捐赠科研通 7208451
什么是DOI,文献DOI怎么找? 3276564
关于科研通互助平台的介绍 2438211
邀请新用户注册赠送积分活动 2274340