<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Morbe UM</submitter><funding>Novo Nordisk Foundation</funding><funding>Leona M. and Harry B. Helmsley Charitable Trust</funding><funding>European Crohn's and Colitis Organisation</funding><funding>Lundbeck Foundation</funding><funding>Louis-Hansen-Foundation</funding><pagination>e20250471</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12697342</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>223(3)</volume><pubmed_abstract>Gut-associated lymphoid tissues (GALT) represent major sites of adaptive immune priming in the intestine, yet our understanding of human GALT diversity and function remains limited. Here, we used single-cell RNA sequencing, flow cytometry, and confocal laser microscopy to map the fibroblast (FB) landscape of human GALT, including that of Peyer's patches (PP), mucosal isolated lymphoid follicles (M-ILF), and submucosal ILF (SM-ILF). We identify CD24 as a marker that distinguishes GALT from other intestinal FB and demonstrate that CD24+ FB consist of distinct subsets that locate within discrete niches. We show that the composition and transcriptional profile of M-ILF and SM-ILF FB differs with SM-ILF FB appearing more focused at providing T cell support. Finally, we find the transcription profile of PP T zone reticular cells to be altered in Crohn's disease and that cells with a GALT FB-like profile can be detected in other chronic inflammatory diseases. Collectively, our findings provide an important framework for understanding GALT diversity and function.</pubmed_abstract><journal>The Journal of experimental medicine</journal><pubmed_title>Fibroblast diversity within human gut-associated lymphoid tissues.</pubmed_title><pmcid>PMC12697342</pmcid><funding_grant_id>R155-2014-4184</funding_grant_id><funding_grant_id>NNF22OC0071681</funding_grant_id><pubmed_authors>Jakobsen HL</pubmed_authors><pubmed_authors>Nos G</pubmed_authors><pubmed_authors>Ensmenger MJ</pubmed_authors><pubmed_authors>Madsen GR</pubmed_authors><pubmed_authors>Junghus FV</pubmed_authors><pubmed_authors>Wewer MD</pubmed_authors><pubmed_authors>Morbe UM</pubmed_authors><pubmed_authors>Brunak S</pubmed_authors><pubmed_authors>Agace WW</pubmed_authors><pubmed_authors>Vaananen VA</pubmed_authors><pubmed_authors>Nielsen OH</pubmed_authors><pubmed_authors>Jorgensen PB</pubmed_authors><pubmed_authors>Olsen LR</pubmed_authors><pubmed_authors>Riis LB</pubmed_authors></additional><is_claimable>false</is_claimable><name>Fibroblast diversity within human gut-associated lymphoid tissues.</name><description>Gut-associated lymphoid tissues (GALT) represent major sites of adaptive immune priming in the intestine, yet our understanding of human GALT diversity and function remains limited. Here, we used single-cell RNA sequencing, flow cytometry, and confocal laser microscopy to map the fibroblast (FB) landscape of human GALT, including that of Peyer's patches (PP), mucosal isolated lymphoid follicles (M-ILF), and submucosal ILF (SM-ILF). We identify CD24 as a marker that distinguishes GALT from other intestinal FB and demonstrate that CD24+ FB consist of distinct subsets that locate within discrete niches. We show that the composition and transcriptional profile of M-ILF and SM-ILF FB differs with SM-ILF FB appearing more focused at providing T cell support. Finally, we find the transcription profile of PP T zone reticular cells to be altered in Crohn's disease and that cells with a GALT FB-like profile can be detected in other chronic inflammatory diseases. Collectively, our findings provide an important framework for understanding GALT diversity and function.</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Mar</publication><modification>2026-05-26T14:04:57.996Z</modification><creation>2026-05-24T03:12:25.448Z</creation></dates><accession>S-EPMC12697342</accession><cross_references><pubmed>41379085</pubmed><doi>10.1084/jem.20250471</doi></cross_references></HashMap>