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利用声喷射质谱法进行超高通量完整蛋白质分析。

Ultrahigh-Throughput Intact Protein Analysis with Acoustic Ejection Mass Spectrometry.

机构信息

Merck & Co., Inc., 126 East Lincoln Ave. Rahway, New Jersey07065, United States.

SCIEX, 71 Four Valley Drive, Concord, OntarioL4K 4V8, Canada.

出版信息

J Am Soc Mass Spectrom. 2023 Jan 4;34(1):4-9. doi: 10.1021/jasms.2c00276. Epub 2022 Dec 5.

Abstract

The need for high-throughput intact protein analysis has been rising as drug discovery increasingly requires the analysis of large sets of covalent modifiers and protein therapeutics. Liquid chromatography-mass spectrometry (LC-MS) is the primary analytical tool used to date to characterize proteins within the biopharmaceutical industry. However, the speed of LC-MS prevents the analysis of large-scale sample sets (>1000 within a day). Acoustic ejection mass spectrometry (AEMS) has recently been established as an electrospray ionization (ESI)-MS based platform with both fast analytical throughput and high data quality. Since its introduction, this technology has been applied in numerous fields with a primary focus on small-molecule analysis in high-throughput drug discovery and development. Here we explore the application of AEMS to high-throughput intact protein analysis for proteins ranging in molecular weight from 17 to 150 kDa on a prototype high-resolution quadrupole time-of-flight (HR QTOF) based AEMS system. Data quality obtained on this platform is comparable to LC-MS, while the analysis speed is significantly improved to one-second-per-sample. This ultrahigh-throughput intact protein analysis platform has the potential to be used broadly in drug discovery.

摘要

随着药物发现越来越需要分析大量的共价修饰剂和蛋白质治疗药物,高通量完整蛋白质分析的需求不断增加。液相色谱-质谱联用(LC-MS)是迄今为止用于在生物制药行业中对蛋白质进行特征分析的主要分析工具。然而,LC-MS 的速度限制了大规模样本集(每天>1000 个)的分析。声喷射质谱(AEMS)最近已被确立为一种基于电喷雾电离(ESI)-MS 的平台,具有快速分析通量和高质量数据。自推出以来,该技术已在多个领域得到应用,主要集中在高通量药物发现和开发中的小分子分析。在这里,我们探索了在基于高分辨率四极杆飞行时间(HR QTOF)的原型 AEMS 系统上,对分子量在 17 至 150 kDa 之间的蛋白质进行高通量完整蛋白质分析的应用。在该平台上获得的数据质量与 LC-MS 相当,而分析速度则显著提高,达到每秒一个样品。这种超高通量完整蛋白质分析平台有可能在药物发现中得到广泛应用。

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