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Cited by 455

The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.

Single-cell analysis of human adipose tissue identifies depot- and disease-specific cell types

Open access
Vijay, Jinchu, Gauthier, Marie-Frédérique, Biswell, Rebecca L., Louiselle, Daniel A., Johnston, Jeffrey J., Cheung, Warren A., Belden, Bradley, Pramatarova, Albena, Biertho, Laurent, Gibson, Margaret, Simon, Marie-Michelle, Djambazian, Haig, Staffa, Alfredo, Bourque, Guillaume, Laitinen, Anita, Nystedt, Johanna, Vohl, Marie-Claude, Fraser, Jason D., Pastinen, Tomi, Tchernof, André, Grundberg, Elin·2019·Nature Metabolism

Abstract

The complex relationship between metabolic disease risk and body fat distribution in humans involves cellular characteristics that are specific to body fat compartments. Here we show depot-specific differences in the stromal vascular fraction of visceral and subcutaneous adipose tissue by performing single-cell RNA sequencing of tissue specimens from obese individuals. We characterize multiple immune cells, endothelial cells, fibroblasts, adipose and haematopoietic stem cell progenitors. Subpopulations of adipose-resident immune cells are metabolically active and associated with metabolic disease status, including a population of potential dysfunctional CD8+ T cells that express metallothioneins. We identify multiple types of adipocyte progenitors that are common across depots, including a subtype enriched in individuals with type 2 diabetes. Depot-specific analysis reveals a class of adipocyte progenitors unique to visceral adipose tissue, which shares common features with beige pre-adipocytes. Our human single-cell transcriptome atlas across fat depots provides a resource to dissect the functional genomics of metabolic disease. Adipose tissue varies depending on localization. Vijay et al. perform single-cell RNA sequencing in multiple adipose tissue depots from obese individuals and identify distinct subpopulations of endothelial cells, immune cells and pre-adipocytes.

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Metadata

Authors
Vijay, J., Gauthier, M.-F., Biswell, R. L., Louiselle, D. A., Johnston, J. J., Cheung, W. A., Belden, B., Pramatarova, A., Biertho, L., Gibson, M., Simon, M.-M., Djambazian, H., Staffa, A., Bourque, G., Laitinen, A., Nystedt, J., Vohl, M.-C., Fraser, J. D., Pastinen, T., Tchernof, A., & Grundberg, E.
Venue
Nature Metabolism
Published
2019-12-23
Volume
2
Issue
1
Pages
97-109
ISSN
2522-5812 (ISSN-L)
OpenAlex
W2994702596
Cited by
455
References
65
FWCI
24.14
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Single-cell analysis of human adipose tissue identifies depot- and disease-specific cell types. https://app.cochat.ai/papers/10.1038/s42255-019-0152-6
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Vijay, J., Gauthier, M.-F., Biswell, R. L., Louiselle, D. A., Johnston, J. J., Cheung, W. A., Belden, B., Pramatarova, A., Biertho, L., Gibson, M., Simon, M.-M., Djambazian, H., Staffa, A., Bourque, G., Laitinen, A., Nystedt, J., Vohl, M.-C., Fraser, J. D., Pastinen, T., . . . Grundberg, E. (2019). Single-cell analysis of human adipose tissue identifies depot- and disease-specific cell types. Nature Metabolism. https://doi.org/10.1038/s42255-019-0152-6

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.