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

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

doi:10.1038/s41467-023-36983-2

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

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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 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.

Original language	English
Article number	1438
Number of pages	19
Journal	Nature Communications
Volume	14
Issue number	1
DOIs	https://doi.org/10.1038/s41467-023-36983-2
Publication status	Published - 15 Mar 2023

Keywords

Humans
Transcriptome/genetics
Adipose Tissue, White/metabolism
Adipocytes/metabolism
Gene Expression Profiling
Adipogenesis/genetics
Adipose Tissue

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Cite this

Massier, L., Jalkanen, J., Elmastas, M., Zhong, J., Wang, T., Nono Nankam, P. A., Frendo-Cumbo, S., Bäckdahl, J., Subramanian, N., Sekine, T., Kerr, A. G., Tseng, B. T. P., Laurencikiene, J., Buggert, M., Lourda, M., Kublickiene, K., Bhalla, N., Andersson, A., Valsesia, A., ... Mejhert, N. (2023). An integrated single cell and spatial transcriptomic map of human white adipose tissue. Nature Communications, 14(1), Article 1438. https://doi.org/10.1038/s41467-023-36983-2

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title = "An integrated single cell and spatial transcriptomic map of human white adipose tissue",

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 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.",

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Massier, L, Jalkanen, J, Elmastas, M, Zhong, J, Wang, T, Nono Nankam, PA, Frendo-Cumbo, S, Bäckdahl, J, Subramanian, N, Sekine, T, Kerr, AG, Tseng, BTP, Laurencikiene, J, Buggert, M, Lourda, M, Kublickiene, K, Bhalla, N, Andersson, A, Valsesia, A, Astrup, A, Blaak, EE, Ståhl, PL, Viguerie, N, Langin, D, Wolfrum, C, Blüher, M, Rydén, M & Mejhert, N 2023, 'An integrated single cell and spatial transcriptomic map of human white adipose tissue', Nature Communications, vol. 14, no. 1, 1438. https://doi.org/10.1038/s41467-023-36983-2

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T1 - An integrated single cell and spatial transcriptomic map of human white adipose tissue

AU - Massier, Lucas

AU - Jalkanen, Jutta

AU - Elmastas, Merve

AU - Zhong, Jiawei

AU - Wang, Tongtong

AU - Nono Nankam, Pamela A

AU - Frendo-Cumbo, Scott

AU - Bäckdahl, Jesper

AU - Subramanian, Narmadha

AU - Sekine, Takuya

AU - Kerr, Alastair G

AU - Tseng, Ben T P

AU - Laurencikiene, Jurga

AU - Buggert, Marcus

AU - Lourda, Magda

AU - Kublickiene, Karolina

AU - Bhalla, Nayanika

AU - Andersson, Alma

AU - Valsesia, Armand

AU - Astrup, Arne

AU - Blaak, Ellen E

AU - Ståhl, Patrik L

AU - Viguerie, Nathalie

AU - Langin, Dominique

AU - Wolfrum, Christian

AU - Blüher, Matthias

AU - Rydén, Mikael

AU - Mejhert, Niklas

PY - 2023/3/15

Y1 - 2023/3/15

N2 - 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.

AB - 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.

KW - Humans

KW - Transcriptome/genetics

KW - Adipose Tissue, White/metabolism

KW - Adipocytes/metabolism

KW - Gene Expression Profiling

KW - Adipogenesis/genetics

KW - Adipose Tissue

U2 - 10.1038/s41467-023-36983-2

DO - 10.1038/s41467-023-36983-2

M3 - Article

C2 - 36922516

SN - 2041-1723

VL - 14

JO - Nature Communications

JF - Nature Communications

IS - 1

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ER -