To date, single-cell studies of human white adipose tissue (WAT) have been based on small cohort sizes and no cellular consensus nomenclature exists. Herein, we performed a comprehensive meta-analysis of publicly available and newly generated single-cell, single-nucleus, and spatial transcriptomic results from human subcutaneous, omental, and perivascular WAT. Our high-resolution map is built on data from ten studies and allowed us to robustly identify >60 subpopulations of adipocytes, fibroblast and adipogenic progenitors, vascular, and immune cells. Using these results, we deconvolved spatial and bulk transcriptomic data from nine additional cohorts to provide spatial and clinical dimensions to the map. This identified cell-cell interactions as well as relationships between specific cell subtypes and insulin resistance, dyslipidemia, adipocyte volume, and lipolysis upon long-term weight changes. Altogether, our meta-map provides a rich resource defining the cellular and microarchitectural landscape of human WAT and describes the associations between specific cell types and metabolic states.
Institut(e)Helmholtz Institute for Metabolism, Obesity and Vascular Research (HI-MAG)
FörderungenCentre for Bioinformatics and Biostatistics at the Karolinska Institutet Swedish Research Council KI infrastructure Centre for Innovative Medicine Margareta af Uggla's foundation Knut & Alice Wallenberg's foundation ERC-SyG SPHERES European Community NovoNordisk Foundation (Tripartite Immuno-metabolism Consortium) NovoNordisk Foundation (MSAM consortium) National Genomics Infrastructure (NGI) in Genomics Production Stockholm NovoNordisk Foundation CIMED Swedish Diabetes Foundation Stockholm County Council Strategic Research Program in Diabetes at Karolinska Institutet European Foundation for the Study of Diabetes/Novo Nordisk Foundation Future Leaders Award Karolinska Institute Swedish Society for Medical Research (SSMF) Swedish Childhood Cancer Fund
European Research Council (ERC) NovoNordisk Foundation (MeRIAD consortium)