数据采集
多路复用
蛋白质组学
质谱法
计算机科学
选择性
肽
数据集
鉴定(生物学)
计算生物学
化学
色谱法
人工智能
生物
生物化学
基因
电信
操作系统
植物
催化作用
作者
Jarrett D. Egertson,Andreas Kuehn,Gennifer E. Merrihew,Nicholas W. Bateman,Brendan MacLean,Ying S. Ting,Jesse D. Canterbury,Donald M Marsh,Markus Kellmann,Vlad Zabrouskov,Christine C. Wu,Michael J. MacCoss
出处
期刊:Nature Methods
[Springer Nature]
日期:2013-06-23
卷期号:10 (8): 744-746
被引量:279
摘要
A multiplexing strategy for data-independent acquisition (DIA)-based mass spectrometry addresses the limitation of low precursor selectivity to make DIA more practical for peptide analysis. In mass spectrometry–based proteomics, data-independent acquisition (DIA) strategies can acquire a single data set useful for both identification and quantification of detectable peptides in a complex mixture. However, DIA data are noisy owing to a typical five- to tenfold reduction in precursor selectivity compared to data obtained with data-dependent acquisition or selected reaction monitoring. We demonstrate a multiplexing strategy, MSX, for DIA analysis that increases precursor selectivity fivefold.
科研通智能强力驱动
Strongly Powered by AbleSci AI