Accelerating covalent binding studies: Direct mass shift measurement with acoustic ejection and TOF-MS

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS SLAS Technology Pub Date : 2024-10-23 DOI:10.1016/j.slast.2024.100216
Markus Stoeckli , Han Wang , Dieter Staab , Frederic Grandjean , Fabian Sesterhenn , Christian Opitz
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Abstract

Tracking chemical reactions by measuring incurred mass shifts upon successful binding is a direct and attractive alternative to existing assays based on chemical tags. Traditional methods use liquid chromatography-mass spectrometry (LC-MS), and because the required buffers are not amenable to direct MS injection, sample pre-treatment is needed to desalt. This leads to analysis times from ten seconds to minutes per sample, limiting throughput and preventing widespread application.
Combining an acoustic ejection (AE) interface with a time-of-flight mass spectrometer (MS) removes this bottleneck, as samples can be directly introduced at rates of up to one second per sample. This article describes a complete workflow for measuring the covalent binding of compounds to proteins in real-time, from assay to data evaluation. It is noteworthy that this is the first instance of using SCIEX Echo® MS+ system with ZenoTOF 7600 system to study the kinetic regimes of covalent binding.
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加速共价结合研究:利用声发射和 TOF-MS 直接测量质量位移。
通过测量成功结合后发生的质量移动来跟踪化学反应,是现有基于化学标记的检测方法的一种直接而有吸引力的替代方法。传统方法使用液相色谱-质谱法(LC-MS),由于所需的缓冲液不能直接注入 MS,因此需要对样品进行预处理以脱盐。这导致每个样品的分析时间从十几秒到几分钟不等,限制了产量,无法广泛应用。将声学喷射(AE)接口与飞行时间质谱仪(MS)结合使用可消除这一瓶颈,因为每个样品可直接以高达一秒的速度注入。本文介绍了实时测量化合物与蛋白质共价结合的完整工作流程,包括从测定到数据评估的整个过程。值得注意的是,这是首次使用 SCIEX Echo® MS+ 系统和 ZenoTOF 7600 系统研究共价结合的动力学机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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