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

Author

Listed:
  • Lucas Massier

    (Karolinska University Hospital Huddinge)

  • Jutta Jalkanen

    (Karolinska University Hospital Huddinge)

  • Merve Elmastas

    (Karolinska University Hospital Huddinge)

  • Jiawei Zhong

    (Karolinska University Hospital Huddinge)

  • Tongtong Wang

    (ETH Zurich)

  • Pamela A. Nono Nankam

    (Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig)

  • Scott Frendo-Cumbo

    (Karolinska University Hospital Huddinge)

  • Jesper Bäckdahl

    (Karolinska University Hospital Huddinge)

  • Narmadha Subramanian

    (Karolinska University Hospital Huddinge)

  • Takuya Sekine

    (Karolinska Institutet, Karolinska University Hospital Huddinge)

  • Alastair G. Kerr

    (Karolinska University Hospital Huddinge)

  • Ben T. P. Tseng

    (Karolinska University Hospital Huddinge)

  • Jurga Laurencikiene

    (Karolinska University Hospital Huddinge)

  • Marcus Buggert

    (Karolinska Institutet, Karolinska University Hospital Huddinge)

  • Magda Lourda

    (Karolinska Institutet, Karolinska University Hospital Huddinge
    Karolinska Institutet)

  • Karolina Kublickiene

    (Unit of Renal Medicine, Karolinska Institutet, Karolinska University Hospital Huddinge)

  • Nayanika Bhalla

    (KTH Royal Institute of Technology)

  • Alma Andersson

    (KTH Royal Institute of Technology)

  • Armand Valsesia

    (Nestle Institute of Health Sciences, Nestle Research)

  • Arne Astrup

    (The Novo Nordisk Foundation)

  • Ellen E. Blaak

    (Maastricht University Medical Centre(+))

  • Patrik L. Ståhl

    (KTH Royal Institute of Technology)

  • Nathalie Viguerie

    (Université Toulouse III - Paul Sabatier (UPS), Université de Toulouse
    Charles University, Prague and Université Toulouse III - Paul Sabatier (UPS))

  • Dominique Langin

    (Université Toulouse III - Paul Sabatier (UPS), Université de Toulouse
    Charles University, Prague and Université Toulouse III - Paul Sabatier (UPS)
    Centre Hospitalier Universitaire de Toulouse
    Institut Universitaire de France (IUF))

  • Christian Wolfrum

    (ETH Zurich)

  • Matthias Blüher

    (Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig
    University of Leipzig Medical Center)

  • Mikael Rydén

    (Karolinska University Hospital Huddinge)

  • Niklas Mejhert

    (Karolinska University Hospital Huddinge)

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.

Suggested Citation

  • 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 , 2023. "An integrated single cell and spatial transcriptomic map of human white adipose tissue," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36983-2
    DOI: 10.1038/s41467-023-36983-2
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    References listed on IDEAS

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    Cited by:

    1. Andreas Fønss Møller & Jesper Grud Skat Madsen, 2023. "JOINTLY: interpretable joint clustering of single-cell transcriptomes," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

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