色谱法
质谱法
鸟枪蛋白质组学
蛋白质组学
化学
重复性
工作流程
蛋白质组
定量蛋白质组学
样品制备
碎片(计算)
二维色谱法
计算机科学
协议(科学)
分析技术
稳健性(进化)
猎枪
分析化学(期刊)
肽
肽段
多路复用
整体式高效液相色谱柱
保留时间
串联质谱法
无标记量化
数据采集
自动化
液相色谱-质谱法
微尺度化学
微流控
蛋白质沉淀
自下而上蛋白质组学
自上而下的蛋白质组学
色谱分离
等压标记
作者
Daniel S. Papp,Hanrong Wen,David Scheich,Nico Lingg,Goran Mitulović,Sebastiaan Eeltink
摘要
ABSTRACT Nano liquid chromatography–mass spectrometry has come to be a key enabling technology in shotgun proteomics due to the combination of exceptional separation power, sensitivity, and comprehensiveness. However, the know‐how of setting up proteomics methods to deliver robust, reliable, and meaningful results to large‐scale life science experiments has remained somewhat ambiguous. This protocol outlines guidance for establishing nano‐LC–MS/MS workflows focusing on comprehensive and untargeted deep proteome profiling, using state‐of‐the‐art column technology and mass spectrometry. Employing a second‐generation micropillar‐array column, a trade‐off is demonstrated between analysis time and chromatographic resolving power, which in turn impacts peptide and protein identification scores from a commercial HeLa reference standard. Furthermore, a straightforward workflow to develop a data‐independent acquisition (DIA)‐parallel accumulation—serial fragmentation (PASEF) analytical method is proposed, with a special focus on the optimization of the ESI source settings. Besides the method development, the study discusses the use of segmented gradients, and an MS‐compatible surfactant in the sample diluent is also explored. Finally, the robustness of the developed method is demonstrated through consistently identifying 7558 protein groups (CV = 0.3%) as maintaining high repeatability peptide retention times (mean CV = 0.2%) and system pressure (CV = 0.4%) over 21 consecutive analyses.
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