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.

a, Schematic of workflows for scRNA-seq and sNuc-seq of human WAT. b, Graphical representation of the cohorts for both studies. Only the sNuc-seq cohort contains VAT. c, Schematic of workflow for sNuc-seq of mouse ING and PG adipose tissue. d, Body weight of chow and high fat fed animals. 

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 OnlineNumber of CellsDescriptionDownload full objectsDownload “lite” objects
All cells166,149All human WAT cellshuman_all.rds- 13.2 GBhuman_all_lite.rds - 1.32 GB
Adipocytes25,871Human adipocyte subclustershuman_adipocytes.rds- 2.3 GBhuman_adipocytes_lite.rds - 315.4 MB
ASPCs52,482Human adipose stem and progenitor cell subclustershuman_ASPCs.rds- 4.1 GBhuman_ASPCs_lite.rds - 347.9 MB
Mesothelial Cells30,482Human mesothelial subclustershuman_mesothelium.rds- 1.8 GBhuman_mesothelium_lite.rds - 260.3 MB
Vascular Cells22,734Human vascular subclustershuman_vascular.rds- 1.3 GBhuman_vascular_lite.rds - 155.8 MB
Immune Cells34,268Human immune subclustershuman_immune.rds- 2.7 GBhuman_immune_lite.rds - 239 MB

Mouse data:

Explore OnlineNumber of CellsDescriptionDownloadDownload “lite” objects
All cells 197,721All mouse WAT cellsmouse_all.rds- 15.2 GBmouse_all_lite.rds - 1.36 GB
Adipocytes 39,934Mouse adipocyte subclustersmouse_adipocytes.rds- 3.3 GBmouse_adipocytes_lite.rds -  439.4 MB
ASPCs 51,227Mouse adipose stem and progenitor cell subclustersmouse_ASPCs.rds- 3.3 GBmouse_ASPCs_lite.rds - 288.3 MB
Mesothelial Cells 14,947Mouse mesothelial subclustersmouse_mesothelium.rds- 550 MBmouse_mesothelium_lite.rds - 107.5 MB
Vascular Cells 7,632Mouse vascular subclustersmouse_vascular.rds- 503 MBmouse_vascular_lite.rds - 37.8 MB
Immune Cells 70,547Mouse immune subclustersmouse_immune.rds- 4.2 GBmouse_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.