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实时色谱对准实现的高多重靶向蛋白质组学。

Highly Multiplex Targeted Proteomics Enabled by Real-Time Chromatographic Alignment.

机构信息

Thermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States.

Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.

出版信息

Anal Chem. 2020 Sep 1;92(17):11809-11817. doi: 10.1021/acs.analchem.0c02075. Epub 2020 Aug 12.

Abstract

Targeted mass spectrometry methods produce high-quality quantitative data in terms of limits of detection and dynamic range, at the cost of a substantial compromise in throughput compared to methods such as data independent and data dependent acquisition. The logistical and experimental issues inherent to maintaining assays of even several hundred targets are significant. Prominent among these issues is the drift in analyte retention time as liquid chromatography (LC) columns wear, forcing targeted scheduling windows to be much larger than LC peak widths. If these problems could be solved, proteomics assays would be capable of targeting thousands of peptides in an hour-long experiment, enabling large cohort studies to be performed without sacrificing sensitivity and specificity. We describe a solution in the form of a new method for real-time chromatographic alignment and demonstrate its application to a 56 min LC-gradient HeLa digest assay with 1489 targets. The method is based on the periodic acquisition of untargeted survey scans in a reference experiment and alignment to those scans during subsequent experiments. We describe how the method enables narrower scheduled retention time windows to be used. The narrower scheduling windows enables more targets to be included in the assay or proportionally more time to be allocated to each target, improving the sensitivity. Finally, we point out how the procedure could be improved and how much additional target multiplexing could be gained in the future.

摘要

靶向质谱方法在检测限和动态范围方面产生高质量的定量数据,但与数据非依赖性和数据依赖性采集等方法相比,在通量方面有很大的折衷。即使是几百个目标的检测也存在固有的后勤和实验问题。其中最突出的问题是随着液相色谱(LC)柱磨损,分析物保留时间的漂移,迫使靶向调度窗口比 LC 峰宽大得多。如果这些问题能够得到解决,蛋白质组学检测将能够在一个小时的实验中靶向数千个肽,从而能够进行大规模队列研究而不牺牲灵敏度和特异性。我们以一种新的实时色谱对准方法的形式描述了解决方案,并将其应用于具有 1489 个目标的 56 分钟 LC 梯度 HeLa 消化测定。该方法基于在参考实验中周期性地采集非靶向概览扫描,并在后续实验中对这些扫描进行对准。我们描述了该方法如何能够使用更窄的预定保留时间窗口。更窄的调度窗口可以使更多的目标包含在测定中,或者为每个目标分配更多的时间,从而提高了灵敏度。最后,我们指出了如何改进该过程以及将来可以获得多少额外的目标复用。

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