Multiplexed Enzyme Activity Microscopy by Semi-quantitative, Ratiometric Enzyme Activity MALDI Mass Spectrometry Imaging

IF 14.7 Q1 CHEMISTRY, ANALYTICAL
ACS Measurement Science Au Pub Date : 2026-10-21 Epub Date: 2026-08-12 DOI:10.1021/acsmeasuresciau.6c00070
Hamidreza Hojjat, Petra Henklein, Akvile Haeckel, Grit Nebrich, Sylwia Handzik, Pedro Augusto Dantas de Moraes, Jing Guo, Justus Ramtke, Yubei He, Lynn Jeanette Savic, Oliver Seitz, Oliver Klein, Eyk Schellenberger
{"title":"Multiplexed Enzyme Activity Microscopy by Semi-quantitative, Ratiometric Enzyme Activity MALDI Mass Spectrometry Imaging","authors":"Hamidreza Hojjat,&nbsp;Petra Henklein,&nbsp;Akvile Haeckel,&nbsp;Grit Nebrich,&nbsp;Sylwia Handzik,&nbsp;Pedro Augusto Dantas de Moraes,&nbsp;Jing Guo,&nbsp;Justus Ramtke,&nbsp;Yubei He,&nbsp;Lynn Jeanette Savic,&nbsp;Oliver Seitz,&nbsp;Oliver Klein,&nbsp;Eyk Schellenberger","doi":"10.1021/acsmeasuresciau.6c00070","DOIUrl":null,"url":null,"abstract":"<p>Enzymes are often tightly regulated and exist in inactive\r\nforms.\r\nTherefore, rather than mere presence, it is the enzyme’s activity\r\nthat catalyzes cellular and tissue functions. However, multiplex activity\r\nmapping of enzymes in situ is particularly challenging. To address\r\nthis, we introduce multiplexed enzyme activity MALDI–MSI (MEA–MSI),\r\na ratiometric, semi-quantitative method that allows multiplex in situ\r\nvisualization of enzyme activities in zinc-fixed tissue sections.\r\nTo accomplish this, a library of 31 MEA–MSI substrates targeting\r\nproteases, kinases, histone acetyltransferases, and glycosyltransferases\r\nwas synthesized. Each substrate is designed so that the masses of\r\nthese substrates and their enzymatic products are distinct, enabling\r\ntheir simultaneous pixel-wise detection within tissue sections. A\r\nratiometric calculation procedure was used to estimate the relative\r\nenzyme activity and compensate for tissue-dependent ionization bias,\r\nwhich is a general problem in MALDI–MSI. MEA–MSI was\r\napplied to healthy mouse liver, a murine hepatocellular carcinoma\r\n(HCC) model, and an incomplete microwave-ablated (iMWA) rabbit VX2\r\nliver tumor model. The resulting activity maps revealed distinct regional\r\nenzyme activity patterns across tumor and normal tissues. Correlation\r\nand network analyses showed related enzyme activities and related\r\ngroups, while unsupervised clustering and Uniform Manifold Approximation\r\nand Projection (UMAP) analysis reproduced histological patterns. Because\r\nMEA–MSI relies on enzymatic amplification, it is not restricted\r\nto the detection of highly abundant enzymes and enables multiplexed,\r\nspatially resolved readouts of enzyme activity in situ, providing\r\na framework for comparative spatial enzymology.</p>","PeriodicalId":29800,"journal":{"name":"ACS Measurement Science Au","volume":"6 5","pages":"1507–1524"},"PeriodicalIF":14.7000,"publicationDate":"2026-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Measurement Science Au","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsmeasuresciau.6c00070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/12 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Enzymes are often tightly regulated and exist in inactive forms. Therefore, rather than mere presence, it is the enzyme’s activity that catalyzes cellular and tissue functions. However, multiplex activity mapping of enzymes in situ is particularly challenging. To address this, we introduce multiplexed enzyme activity MALDI–MSI (MEA–MSI), a ratiometric, semi-quantitative method that allows multiplex in situ visualization of enzyme activities in zinc-fixed tissue sections. To accomplish this, a library of 31 MEA–MSI substrates targeting proteases, kinases, histone acetyltransferases, and glycosyltransferases was synthesized. Each substrate is designed so that the masses of these substrates and their enzymatic products are distinct, enabling their simultaneous pixel-wise detection within tissue sections. A ratiometric calculation procedure was used to estimate the relative enzyme activity and compensate for tissue-dependent ionization bias, which is a general problem in MALDI–MSI. MEA–MSI was applied to healthy mouse liver, a murine hepatocellular carcinoma (HCC) model, and an incomplete microwave-ablated (iMWA) rabbit VX2 liver tumor model. The resulting activity maps revealed distinct regional enzyme activity patterns across tumor and normal tissues. Correlation and network analyses showed related enzyme activities and related groups, while unsupervised clustering and Uniform Manifold Approximation and Projection (UMAP) analysis reproduced histological patterns. Because MEA–MSI relies on enzymatic amplification, it is not restricted to the detection of highly abundant enzymes and enables multiplexed, spatially resolved readouts of enzyme activity in situ, providing a framework for comparative spatial enzymology.

多路酶活性显微镜的半定量,比例酶活性MALDI质谱成像
酶通常受到严格调控,以非活性形式存在。因此,不是单纯的存在,而是酶的活性催化细胞和组织的功能。然而,原位酶的多重活性作图尤其具有挑战性。为了解决这个问题,我们引入了多重酶活性MALDI-MSI (MEA-MSI),这是一种比例、半定量的方法,可以在锌固定组织切片中多重观察酶活性。为此,我们合成了一个包含31个MEA-MSI底物的文库,这些底物靶向蛋白酶、激酶、组蛋白乙酰转移酶和糖基转移酶。每个底物的设计使得这些底物及其酶促产物的质量是不同的,从而能够在组织切片内同时进行逐像素检测。使用电离计算程序来估计相对酶活性并补偿组织依赖的电离偏倚,这是MALDI-MSI的一个普遍问题。MEA-MSI应用于健康小鼠肝脏、小鼠肝细胞癌(HCC)模型和不完全微波消融(iMWA)兔vx2肝肿瘤模型。由此产生的活性图揭示了肿瘤和正常组织中不同区域的酶活性模式。相关网络分析显示了相关的酶活性和相关的类群,而无监督聚类和均匀流形近似和投影(UMAP)分析再现了组织模式。由于emea - msi依赖于酶的扩增,它并不局限于检测高丰度的酶,并且能够在原位进行多路、空间分辨的酶活性读数,为比较空间酶学提供了一个框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
ACS Measurement Science Au
ACS Measurement Science Au 化学计量学-
CiteScore
5.20
自引率
0.00%
发文量
0
期刊介绍: ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书