A single cell atlas of human and mouse white adipose tissue
Margo P. Emont, Christopher Jacobs, Adam L. Essene, Deepti Pant, Danielle Tenen, Georgia Colleluori, Angelica Di Vincenzo, Anja M. Jørgensen, Hesam Dashti, Adam Stefek, Elizabeth McGonagle, Sophie Strobel, Samantha Laber, Saaket Agrawal,Gregory P. Westcott, Amrita Kar, Molly L. Veregge, Anton Gulko, Harini Srinivasan, Zachary Kramer, Eleanna De Filippis, Erin Merkel, Jennifer Ducie, Christopher G. Boyd, William Gourash, Anita Courcoulas, Samuel J. Lin, Bernard T. Lee, Donald Morris, Adam Tobias, Amit V. Khera, Melina Claussnitzer, Tune H. Pers, Antonio Giordano, Orr Ashenberg, Aviv Regev, Linus T. Tsai, Evan D. Rosen
Manuscript: https://www.nature.com/articles/s41586-022-04518-2 (open access link here)
Preprint: https://www.biorxiv.org/content/10.1101/2021.11.09.466968v1
Seurat (v4) objects of clusters and subclusters can be downloaded here.
Please scroll down for individual links. “Lite” objects that only contain RNA data and thus are easier to download and use are now available!
Map your data to the human adipose clusters/subclusters on Azimuth.
White adipose tissue (WAT), once regarded as morphologically and functionally bland, is now recognized to be dynamic, plastic, heterogenous, and involved in a wide array of biological processes including energy homeostasis, glucose and lipid handling, blood pressure control, and host defense. High fat feeding and other metabolic stressors cause dramatic changes in adipose morphology, physiology, and cellular composition, and alterations in adiposity are associated with insulin resistance, dyslipidemia, and Type 2 diabetes (T2D). Here we provide detailed cellular atlases of human and murine subcutaneous and visceral white fat at single cell resolution across a range of body weight. We identify subpopulations of adipocytes, adipose stem and progenitor cells (ASPCs), vascular, and immune cells and demonstrate commonalities and differences across species and dietary conditions. We link specific cell types to increased risk of metabolic disease, and we provide an initial blueprint for a comprehensive set of interactions between individual cell types in the adipose niche in leanness and obesity. These data comprise a extensive resource for the exploration of genes, traits, and cell types in the function of WAT across species, depots, and nutritional conditions.
Human data:
| Explore Online | Number of Cells | Description | Download full objects | Download “lite” objects |
| All cells | 166,149 | All human WAT cells | human_all.rds- 13.2 GB | human_all_lite.rds - 1.32 GB |
| Adipocytes | 25,871 | Human adipocyte subclusters | human_adipocytes.rds- 2.3 GB | human_adipocytes_lite.rds - 315.4 MB |
| ASPCs | 52,482 | Human adipose stem and progenitor cell subclusters | human_ASPCs.rds- 4.1 GB | human_ASPCs_lite.rds - 347.9 MB |
| Mesothelial Cells | 30,482 | Human mesothelial subclusters | human_mesothelium.rds- 1.8 GB | human_mesothelium_lite.rds - 260.3 MB |
| Vascular Cells | 22,734 | Human vascular subclusters | human_vascular.rds- 1.3 GB | human_vascular_lite.rds - 155.8 MB |
| Immune Cells | 34,268 | Human immune subclusters | human_immune.rds- 2.7 GB | human_immune_lite.rds - 239 MB |
Mouse data:
| Explore Online | Number of Cells | Description | Download | Download “lite” objects |
| All cells | 197,721 | All mouse WAT cells | mouse_all.rds- 15.2 GB | mouse_all_lite.rds - 1.36 GB |
| Adipocytes | 39,934 | Mouse adipocyte subclusters | mouse_adipocytes.rds- 3.3 GB | mouse_adipocytes_lite.rds - 439.4 MB |
| ASPCs | 51,227 | Mouse adipose stem and progenitor cell subclusters | mouse_ASPCs.rds- 3.3 GB | mouse_ASPCs_lite.rds - 288.3 MB |
| Mesothelial Cells | 14,947 | Mouse mesothelial subclusters | mouse_mesothelium.rds- 550 MB | mouse_mesothelium_lite.rds - 107.5 MB |
| Vascular Cells | 7,632 | Mouse vascular subclusters | mouse_vascular.rds- 503 MB | mouse_vascular_lite.rds - 37.8 MB |
| Immune Cells | 70,547 | Mouse immune subclusters | mouse_immune.rds- 4.2 GB | mouse_immune_lite.rds - 364.4 MB |
*lite objects were created using the DietSeurat function. They only contain the RNA assay and not the SCT or integrated information.
**Please note that objects were recently relocated to new storage. Please reach out to margo @ uchicago if any links are broken or direct to the wrong object.
