An integrated single cell and spatial transcriptomic map of human white adipose tissue

Massier, Lucas; Jalkanen, Jutta; Elmastas, Merve; Zhong, Jiawei; Wang, Tongtong; Nankam, Pamela A. Nono; Frendo‐Cumbo, Scott; Bäckdahl, Jesper; Subramanian, N; Sekine, Takuya; Kerr, Alastair G.; Tseng, Ben T. P.; Laurencikiene, Jurga; Buggert, Marcus; Lourda, Magda; Kublickiene, Karolina; Bhalla, Nayanika; Andersson, Alma; Valsesia, Armand; Astrup, Arne; Blaak, Ellen E.; Ståhl, Patrik L.; Viguerie, Nathalie; Langin, Dominique; Wolfrum, Christian; Blüher, Matthias; Rydén, Mikael; Mejhert, Niklas

doi:10.1038/s41467-023-36983-2

reviewNature CommunicationsMar 15, 2023GOLD OA

An integrated single cell and spatial transcriptomic map of human white adipose tissue

LMLucas Massier JJJutta Jalkanen MEMerve Elmastas JZJiawei Zhong TWTongtong Wang

Karolinska University Hospital · Karolinska Institutet · +17 more institutions

PubMed

Indexed incrossrefdatacitedoajpubmed

Abstract

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…

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Topics & keywords

Topics

Keywords

Adipose tissue
Transcriptome
White adipose tissue
Computational biology
Biology
Computer science
Genetics
Gene

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