Rapid visualization of lipopeptides and potential bioactive groups of compounds by combining ion mobility and MALDI imaging mass spectrometry

Q1 Pharmacology, Toxicology and Pharmaceutics Drug Discovery Today: Technologies Pub Date : 2021-12-01 DOI:10.1016/j.ddtec.2021.08.003
Andréa McCann , Christopher Kune , Raphael La Rocca , Janina Oetjen , Anthony Arguelles Arias , Marc Ongena , Johann Far , Gauthier Eppe , Loic Quinton , Edwin De Pauw
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引用次数: 4

Abstract

Mass spectrometry imaging (MSI) has become a powerful method for mapping metabolite distribution in a tissue. Applied to bacterial colonies, MSI has a bright future, both for the discovery of new bioactive compounds and for a better understanding of bacterial antibiotic resistance mechanisms. Coupled with separation techniques such as ion mobility mass spectrometry (IM-MS), the identification of metabolites directly on the image is now possible and does not require additional analysis such as HPLC-MS/MS. In this article, we propose to apply a semi-targeted workflow for rapid IM-MSI data analysis focused on the search for bioactive compounds. First, chemically-related compounds showing a repetitive mass unit (i.e. lipids and lipopeptides) were targeted based on the Kendrick mass defect analysis. The detected groups of potentially bioactive compounds were then confirmed by fitting their measured ion moibilites to their measured m/z values. Using both their m/z and ion mobility values, the selected groups of compounds were identified using the available databases and finally their distribution was observed on the image. Using this workflow on a co-culture of bacteria, we were able to detect and localize bioactive compounds involved in the microbial interaction.

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结合离子迁移率和MALDI成像质谱法快速可视化脂肽和化合物的潜在生物活性基团
质谱成像(MSI)已成为一种强有力的方法来绘制代谢物在组织中的分布。应用于细菌菌落,无论是发现新的生物活性化合物,还是更好地了解细菌抗生素耐药机制,MSI都有光明的前景。再加上离子迁移质谱(IM-MS)等分离技术,现在可以直接在图像上识别代谢物,而不需要像HPLC-MS/MS这样的额外分析。在本文中,我们建议应用半靶向工作流程进行快速IM-MSI数据分析,重点是寻找生物活性化合物。首先,根据Kendrick质量缺陷分析,将具有重复质量单位的化学相关化合物(即脂质和脂肽)作为目标。检测到的潜在生物活性化合物基团然后通过将其测量的离子迁移率与其测量的m/z值拟合来确认。利用它们的m/z值和离子迁移率值,使用可用的数据库识别选定的化合物基团,最后在图像上观察它们的分布。在细菌共培养中使用这种工作流程,我们能够检测和定位参与微生物相互作用的生物活性化合物。
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Drug Discovery Today: Technologies
Drug Discovery Today: Technologies Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
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期刊介绍: Discovery Today: Technologies compares different technological tools and techniques used from the discovery of new drug targets through to the launch of new medicines.
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