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, 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","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.
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.