<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hendriks TFE</submitter><funding>Interreg Vlaanderen-Nederland</funding><funding>Dutch Research Council (NWO)</funding><funding>Fonds Wetenschappelijk Onderzoek</funding><funding>NWO-STEM</funding><pagination>42660</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12663239</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15(1)</volume><pubmed_abstract>Understanding tissue complexity requires spatially resolved multi-omics data at single-cell resolution. Here, we present a workflow integrating high-resolution matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) with Xenium spatial transcriptomics (SPT) on a single tissue section. This strategy ensures pixel-scale spatial correspondence between metabolic and transcriptomic features, avoiding misalignment issues of serial sections, where even minor offsets result in sampling different cells. We investigated MALDI-MSI compatibility with downstream SPT revealing that the number of transcripts per cell decreased by ~ 30% after MSI, whilst cell recovery and cell-type assignments are preserved. Validated using mouse brain and demonstrated using human glioblastoma ti</pubmed_abstract><journal>Scientific reports</journal><pubmed_title>One section, two worlds: single-cell integration of MALDI-MSI and spatial transcriptomics on the same single tissue section.</pubmed_title><pmcid>PMC12663239</pmcid><funding_grant_id>TBM T001919N</funding_grant_id><funding_grant_id>19013</funding_grant_id><funding_grant_id>Molecular Brain Tumor Detector</funding_grant_id><pubmed_authors>Visvikis T</pubmed_authors><pubmed_authors>Heeren RMA</pubmed_authors><pubmed_authors>Eijkel GB</pubmed_authors><pubmed_authors>Cuypers E</pubmed_authors><pubmed_authors>Balluff B</pubmed_authors><pubmed_authors>Hendriks TFE</pubmed_authors></additional><is_claimable>false</is_claimable><name>One section, two worlds: single-cell integration of MALDI-MSI and spatial transcriptomics on the same single tissue section.</name><description>Understanding tissue complexity requires spatially resolved multi-omics data at single-cell resolution. Here, we present a workflow integrating high-resolution matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) with Xenium spatial transcriptomics (SPT) on a single tissue section. This strategy ensures pixel-scale spatial correspondence between metabolic and transcriptomic features, avoiding misalignment issues of serial sections, where even minor offsets result in sampling different cells. We investigated MALDI-MSI compatibility with downstream SPT revealing that the number of transcripts per cell decreased by ~ 30% after MSI, whilst cell recovery and cell-type assignments are preserved. Validated using mouse brain and demonstrated using human glioblastoma ti</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Nov</publication><modification>2026-06-05T21:35:14.514Z</modification><creation>2026-05-22T03:12:24.23Z</creation></dates><accession>S-EPMC12663239</accession><cross_references><pubmed>41315396</pubmed><doi>10.1038/s41598-025-26735-1</doi></cross_references></HashMap>