Mass spectrometry-based ligand binding assays in biomedical research

质谱法 化学 血浆蛋白结合 色谱法 计算生物学 生物化学 生物
作者
Tobias Meisinger,Andreas Vogt,Robin Kretz,Helen Hammer,Hannes Planatscher,Oliver Poetz
出处
期刊:Expert Review of Proteomics [Informa]
标识
DOI:10.1080/14789450.2025.2467263
摘要

Ligand binding assays combining immunoaffinity enrichment steps with mass spectrometry (MS) readout have gained attention as a highly specific and sensitive tool for protein quantification. These techniques typically combine enzymatic fragmentation of the sample or enriched protein with capture on the protein or peptide-level for quantification. Antibodies ensure specific target recognition, while MS offers quantitative accuracy with isotopically labeled internal standards. This dual approach supports a broad dynamic range, enabling protein measurements from picomolar to nanomolar levels. These methods have diverse applications, from quantifying signaling proteins in basic research to biomarker monitoring in clinical trials and analyzing the pharmacokinetics of therapeutic proteins. This review delves into the diverse workflows of immunoaffinity-MS, shedding light on the innovative strategies employed, their practical applications, efficacy, and inherent limitations in the realm of protein quantification. Immunoaffinity-MS has transformed protein analysis, but widespread adoption is hindered by complex workflows, high instrument costs, and limited capture molecule availability. Efforts to enhance automation, standardize workflows, and advance technological innovation aim to overcome these barriers. Improvements in mass spectrometer sensitivity, advances in recombinant capture technologies, and support from public initiatives are poised to further improve the reliability and accessibility of this method.
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
nana完成签到,获得积分10
2秒前
galaxybalaaa完成签到,获得积分10
2秒前
啾啾咪咪完成签到,获得积分10
2秒前
风趣青槐完成签到,获得积分10
2秒前
SciGPT应助负责的蜜花采纳,获得10
2秒前
LUO发布了新的文献求助10
2秒前
搞学术发布了新的文献求助30
3秒前
莫里耶发布了新的文献求助10
4秒前
4秒前
冷静白晴完成签到 ,获得积分10
6秒前
6秒前
7秒前
Ava应助陈梓采纳,获得10
7秒前
Masche发布了新的文献求助20
8秒前
wanci应助榞榞采纳,获得10
8秒前
天桂星发布了新的文献求助10
8秒前
梁大海发布了新的文献求助10
9秒前
Son4904应助谭平采纳,获得10
9秒前
专注的嵩发布了新的文献求助30
11秒前
11秒前
11秒前
小蘑菇应助lizh187采纳,获得10
11秒前
12秒前
12秒前
烟花应助无辜的大雁采纳,获得10
12秒前
清欢完成签到,获得积分10
13秒前
13秒前
打打应助songvv采纳,获得10
13秒前
快乐爱斯米完成签到,获得积分10
14秒前
14秒前
yangyang发布了新的文献求助10
14秒前
莫里耶完成签到,获得积分10
15秒前
15秒前
15秒前
15秒前
15秒前
诸葛钢铁发布了新的文献求助10
16秒前
劲秉应助虚幻沛菡采纳,获得50
16秒前
17秒前
高分求助中
Genetics: From Genes to Genomes 3000
Production Logging: Theoretical and Interpretive Elements 2500
Continuum thermodynamics and material modelling 2000
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Diabetes: miniguías Asklepios 800
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3470540
求助须知:如何正确求助?哪些是违规求助? 3063510
关于积分的说明 9083726
捐赠科研通 2753934
什么是DOI,文献DOI怎么找? 1511152
邀请新用户注册赠送积分活动 698303
科研通“疑难数据库(出版商)”最低求助积分说明 698178