Offline Peptide Fractionation and Parallel Reaction Monitoring MS for the Quantitation of Low-Abundance Plasma Proteins

化学 色谱法 分馏 质谱法 背景(考古学) 定量蛋白质组学 选择性反应监测 标准曲线 定量分析(化学) 血液蛋白质类 分析化学(期刊) 串联质谱法 蛋白质组学 生物化学 古生物学 基因 生物
作者
Claudia Gaither,Robert Popp,Vincent R. Richard,René P. Zahedi,Christoph H. Borchers
出处
期刊:Methods in molecular biology [Springer Science+Business Media]
卷期号:: 353-364
标识
DOI:10.1007/978-1-0716-2978-9_23
摘要

Mass spectrometry (MS)-based protein quantitation is an attractive means for research and diagnostics due to its high specificity, precision, sensitivity, versatility, and the ability to develop multiplexed assays for the "absolute" quantitation of virtually any protein target. However, due to the large dynamic range of protein concentrations in blood, high abundance proteins in blood plasma hinder the detectability and quantification of lower-abundance proteins which are often relevant in the context of different diseases. Here we outline a streamlined method involving offline high-pH reversed-phase fractionation of human plasma samples followed by the quantitative analysis of specific fractions using nanoLC-parallel reaction monitoring (PRM) on a Q Exactive Plus mass spectrometer for peptide detection and quantitation with increased sensitivity. Because we use a set of synthetic peptide standards, we can more efficiently determine the precise retention times of the target peptides in the first-dimensional separation and specifically collect eluting fractions of interest for the subsequent targeted MS quantitation, making the analysis faster and easier. An eight-point standard curve was generated by serial dilution of a mixture of previously validated unlabeled ("light") synthetic peptides of interest at known concentrations. The corresponding heavy stable-isotope-labeled standard (SIS) analogues were used as normalizers to account for losses during sample processing and analysis. Using this method, we were able to improve the sensitivity of plasma protein quantitation by up to 50-fold compared to using nanoLC-PRM alone.

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
lianliyou发布了新的文献求助10
刚刚
霍允发布了新的文献求助10
刚刚
1秒前
欣喜的素发布了新的文献求助10
1秒前
2秒前
平淡的凝竹完成签到 ,获得积分10
2秒前
2秒前
cy完成签到 ,获得积分10
3秒前
3秒前
Ava应助mei采纳,获得10
3秒前
xjp关注了科研通微信公众号
3秒前
义气尔芙发布了新的文献求助10
3秒前
3秒前
黑章鱼保罗完成签到,获得积分10
4秒前
爆米花应助郭逍遥采纳,获得10
4秒前
4秒前
小马甲应助郑zwj采纳,获得10
4秒前
5秒前
善学以致用应助小敏哼采纳,获得10
5秒前
5秒前
我是老大应助Sky采纳,获得10
5秒前
科研通AI6.1应助zhangyanan采纳,获得10
5秒前
6秒前
orixero应助努力发文章采纳,获得10
6秒前
6秒前
6秒前
温莹完成签到,获得积分10
7秒前
简单绯完成签到,获得积分10
7秒前
7秒前
哈哈哈哈发布了新的文献求助10
7秒前
光电效应发布了新的文献求助30
7秒前
Laospakalfski完成签到,获得积分10
8秒前
8秒前
望春风发布了新的文献求助10
8秒前
科研通AI6.4应助王哈哈采纳,获得10
8秒前
啊娴子发布了新的文献求助10
9秒前
面包噎人完成签到 ,获得积分10
9秒前
9秒前
10秒前
求助人员发布了新的文献求助10
10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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Modified letrozole versus GnRH antagonist protocols in ovarian aging women for IVF: An Open-Label, Multicenter, Randomized Controlled Trial 360
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6062169
求助须知:如何正确求助?哪些是违规求助? 7894457
关于积分的说明 16309612
捐赠科研通 5205764
什么是DOI,文献DOI怎么找? 2784947
邀请新用户注册赠送积分活动 1767548
关于科研通互助平台的介绍 1647410