德国马克斯·普朗克生物化学研究所Matthias Mann、加拿大多伦多大学Hannes L. Röst和瑞士联邦理工学院Ben C. Collins课题组合作研究开发了diaPASEF，即数据非依赖性采集与并行累积串行碎片相结合。相关论文于2020年11月30日发表在《自然-方法学》杂志上。

 在本研究中，研究人员利用捕获离子迁移通道（timsTOF Pro）中分子量和离子迁移相关性设计了一种扫描模式，该方法可以在m/z和迁移窗口中采样多达100％的肽前体离子电流。研究人员通过用于信号提取和评分的离子迁移率维度，扩展了已建立的目标数据提取工作流程，从而提高了前体识别的特异性。即使从10ng整个蛋白质组消化和混合生物样品中获取的数据表明，该方法具有蛋白质组覆盖范围广、重现性高、定量准确的优点。

研究人员表示，数据非依赖性采集模式通过循环预先设定前体m/z范围的片段来隔离不同前体的分子，并同时使其片段化。尽管这些选择窗口共同覆盖了整个m/z的范围，但总的来说，只有少数百分之几离子被隔离以用于质量分析。

附：英文原文

Title: diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition

Author: Florian Meier, Andreas-David Brunner, Max Frank, Annie Ha, Isabell Bludau, Eugenia Voytik, Stephanie Kaspar-Schoenefeld, Markus Lubeck, Oliver Raether, Nicolai Bache, Ruedi Aebersold, Ben C. Collins, Hannes L. Rst, Matthias Mann

Issue&Volume: 2020-11-30

Abstract: Data-independent acquisition modes isolate and concurrently fragment populations of different precursors by cycling through segments of a predefined precursor m/z range. Although these selection windows collectively cover the entire m/z range, overall, only a few per cent of all incoming ions are isolated for mass analysis. Here, we make use of the correlation of molecular weight and ion mobility in a trapped ion mobility device (timsTOF Pro) to devise a scan mode that samples up to 100% of the peptide precursor ion current in m/z and mobility windows. We extend an established targeted data extraction workflow by inclusion of the ion mobility dimension for both signal extraction and scoring and thereby increase the specificity for precursor identification. Data acquired from whole proteome digests and mixed organism samples demonstrate deep proteome coverage and a high degree of reproducibility as well as quantitative accuracy, even from 10 ng sample amounts. diaPASEF makes use of the correlation between the ion mobility and the m/z of peptides to trap and release precursor ions in a TIMS-TOF mass spectrometer for an almost complete sampling of the precursor ion beam with data-independent acquisition.

DOI: 10.1038/s41592-020-00998-0

Source: https://www.nature.com/articles/s41592-020-00998-0