27-Plex Tandem Mass Tag Mass Spectrometry for Profiling Brain Proteome in Alzheimer’s Disease

化学 串联质谱法 蛋白质组 串联质量标签 仿形(计算机编程) 质谱法 色谱法 蛋白质组学 计算生物学 生物化学 定量蛋白质组学 生物 基因 计算机科学 操作系统
作者
Zhen Wang,Kaiwen Yu,Haiyan Tan,Zhiping Wu,Ji-Hoon Cho,Xian Han,Huan Sun,Thomas G. Beach,Junmin Peng
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:92 (10): 7162-7170 被引量:86
标识
DOI:10.1021/acs.analchem.0c00655
摘要

Multiplexed isobaric labeling methods, such as tandem mass tags (TMT), remarkably improve the throughput of quantitative mass spectrometry. Here, we present a 27-plex TMT method coupled with two-dimensional liquid chromatography (LC/LC) for extensive peptide fractionation and high-resolution tandem mass spectrometry (MS/MS) for peptide quantification and then apply the method to profile the complex human brain proteome of Alzheimer's disease (AD). The 27-plex method combines multiplexed capacities of the 11-plex and the 16-plex TMT, as the peptides labeled by the two TMT sets display different mass and hydrophobicity, which can be well separated in LC-MS/MS. We first systematically optimized the protocol for the newly developed 16-plex TMT, including labeling reaction, desalting, and MS conditions, and then directly compared the 11-plex and 16-plex methods by analyzing the same human AD samples. Both methods yielded similar proteome coverage, analyzing >100 000 peptides in >10 000 human proteins. Furthermore, the 11-plex and 16-plex samples were mixed for a 27-plex assay, resulting in more than 8000 protein measurements within the same MS time. The 27-plex results are highly consistent with those of the individual 11-plex and 16-plex TMT analyses. We also used these proteomics data sets to compare the AD brain with the nondementia controls, discovering major AD-related proteins and revealing numerous novel protein alterations enriched in the pathways of amyloidosis, immunity, mitochondrial, and synaptic functions. Overall, our data strongly demonstrate that this new 27-plex strategy is highly feasible for routine large-scale proteomic analysis.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
1秒前
徐一一发布了新的文献求助10
1秒前
陈陈完成签到,获得积分10
1秒前
1秒前
完美世界应助阿炳妹妹采纳,获得10
1秒前
xz发布了新的文献求助10
2秒前
2秒前
zz发布了新的文献求助10
2秒前
2秒前
丘比特应助周林夕16888采纳,获得10
2秒前
默默完成签到,获得积分10
2秒前
帆帆发布了新的文献求助10
2秒前
2秒前
田様应助B612小行星采纳,获得10
3秒前
blackddl应助muderder采纳,获得10
3秒前
4秒前
LLT发布了新的文献求助10
4秒前
科研通AI6应助Ccccc采纳,获得10
4秒前
Stella应助slayersqin采纳,获得10
4秒前
小青椒应助科研通管家采纳,获得30
4秒前
脑洞疼应助科研通管家采纳,获得10
4秒前
小透明应助科研通管家采纳,获得30
4秒前
Lucas应助科研通管家采纳,获得30
4秒前
4秒前
彭于晏应助科研通管家采纳,获得10
4秒前
Hanoi347应助科研通管家采纳,获得10
4秒前
Verity应助科研通管家采纳,获得10
4秒前
彭于晏应助科研通管家采纳,获得10
4秒前
浮游应助科研通管家采纳,获得10
4秒前
共享精神应助科研通管家采纳,获得10
5秒前
充电宝应助科研通管家采纳,获得10
5秒前
英姑应助科研通管家采纳,获得30
5秒前
5秒前
浮游应助科研通管家采纳,获得10
5秒前
斯文败类应助科研通管家采纳,获得10
5秒前
小透明应助科研通管家采纳,获得30
5秒前
JamesPei应助科研通管家采纳,获得10
5秒前
Dean应助科研通管家采纳,获得40
5秒前
CodeCraft应助科研通管家采纳,获得10
5秒前
高分求助中
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
The Victim–Offender Overlap During the Global Pandemic: A Comparative Study Across Western and Non-Western Countries 1000
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
King Tyrant 680
Objective or objectionable? Ideological aspects of dictionaries 360
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5582167
求助须知:如何正确求助?哪些是违规求助? 4666373
关于积分的说明 14762023
捐赠科研通 4608313
什么是DOI,文献DOI怎么找? 2528621
邀请新用户注册赠送积分活动 1497921
关于科研通互助平台的介绍 1466671