<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Liu M</submitter><funding>MOH | National Medical Research Council (NMRC)</funding><funding>Fondazione Italiana per la Ricerca sul Cancro (Italian Foundation for Cancer Research)</funding><funding>China Scholarship Council (CSC)</funding><pagination>2113</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10923916</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15(1)</volume><pubmed_abstract>Macrophages are abundant immune cells in the microenvironment of diffuse large B-cell lymphoma (DLBCL). Macrophage estimation by immunohistochemistry shows varying prognostic significance across studies in DLBCL, and does not provide a comprehensive analysis of macrophage subtypes. Here, using digital spatial profiling with whole transcriptome analysis of CD68+ cells, we characterize macrophages in distinct spatial niches of reactive lymphoid tissues (RLTs) and DLBCL. We reveal transcriptomic differences between macrophages within RLTs (light zone /dark zone, germinal center/ interfollicular), and between disease states (RLTs/ DLBCL), which we then use to generate six spatially-derived macrophage signatures (MacroSigs). We proceed to interrogate these MacroSigs in macrophage and DLBCL single-cell RNA-sequencing datasets, and in gene-expression data from multiple DLBCL cohorts. We show that specific MacroSigs are associated with cell-of-origin subtypes and overall survival in DLBCL. This study provides a spatially-resolved whole-transcriptome atlas of macrophages in reactive and malignant lymphoid tissues, showing biological and clinical significance.</pubmed_abstract><journal>Nature communications</journal><pubmed_title>Spatially-resolved transcriptomics reveal macrophage heterogeneity and prognostic significance in diffuse large B-cell lymphoma.</pubmed_title><pmcid>PMC10923916</pmcid><funding_grant_id>22759</funding_grant_id><funding_grant_id>202006940018</funding_grant_id><funding_grant_id>22145</funding_grant_id><funding_grant_id>MOH-000715-00</funding_grant_id><pubmed_authors>Jaynes P</pubmed_authors><pubmed_authors>Peng Y</pubmed_authors><pubmed_authors>Chan EHL</pubmed_authors><pubmed_authors>Sridhar S</pubmed_authors><pubmed_authors>De Mel S</pubmed_authors><pubmed_authors>Liu M</pubmed_authors><pubmed_authors>Chua R</pubmed_authors><pubmed_authors>Lee J</pubmed_authors><pubmed_authors>Ng SB</pubmed_authors><pubmed_authors>Ye X</pubmed_authors><pubmed_authors>Jeyasekharan AD</pubmed_authors><pubmed_authors>Jayalakshmi</pubmed_authors><pubmed_authors>Lee RX</pubmed_authors><pubmed_authors>Hue SS</pubmed_authors><pubmed_authors>Chang ST</pubmed_authors><pubmed_authors>Chandy KG</pubmed_authors><pubmed_authors>Chee YL</pubmed_authors><pubmed_authors>Syn N</pubmed_authors><pubmed_authors>Bertolazzi G</pubmed_authors><pubmed_authors>Chuang SS</pubmed_authors><pubmed_authors>Tripodo C</pubmed_authors><pubmed_authors>Fan S</pubmed_authors><pubmed_authors>Ginhoux F</pubmed_authors><pubmed_authors>Thng J</pubmed_authors><pubmed_authors>Mulder K</pubmed_authors><pubmed_authors>Poon L</pubmed_authors><pubmed_authors>Batumalai Y</pubmed_authors><pubmed_authors>Pan-Hammarstrom Q</pubmed_authors><pubmed_authors>Hoppe MM</pubmed_authors></additional><is_claimable>false</is_claimable><name>Spatially-resolved transcriptomics reveal macrophage heterogeneity and prognostic significance in diffuse large B-cell lymphoma.</name><description>Macrophages are abundant immune cells in the microenvironment of diffuse large B-cell lymphoma (DLBCL). Macrophage estimation by immunohistochemistry shows varying prognostic significance across studies in DLBCL, and does not provide a comprehensive analysis of macrophage subtypes. Here, using digital spatial profiling with whole transcriptome analysis of CD68+ cells, we characterize macrophages in distinct spatial niches of reactive lymphoid tissues (RLTs) and DLBCL. We reveal transcriptomic differences between macrophages within RLTs (light zone /dark zone, germinal center/ interfollicular), and between disease states (RLTs/ DLBCL), which we then use to generate six spatially-derived macrophage signatures (MacroSigs). We proceed to interrogate these MacroSigs in macrophage and DLBCL single-cell RNA-sequencing datasets, and in gene-expression data from multiple DLBCL cohorts. We show that specific MacroSigs are associated with cell-of-origin subtypes and overall survival in DLBCL. This study provides a spatially-resolved whole-transcriptome atlas of macrophages in reactive and malignant lymphoid tissues, showing biological and clinical significance.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2026-06-15T06:35:29.934Z</modification><creation>2026-06-15T03:08:52.477Z</creation></dates><accession>S-EPMC10923916</accession><cross_references><pubmed>38459052</pubmed><doi>10.1038/s41467-024-46220-z</doi></cross_references></HashMap>