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

AI Article Synopsis

  • The study conducts a comprehensive meta-analysis of various single-cell and spatial transcriptomic data on human white adipose tissue (WAT), addressing the limitations of earlier studies with small sample sizes.
  • It identifies over 60 distinct subpopulations of cells, including adipocytes, fibroblasts, and immune cells, enhancing our understanding of the cellular diversity in WAT.
  • The findings reveal important cell interactions and their links to metabolic issues like insulin resistance and dyslipidemia, offering a detailed resource for future research into the roles of these cells in human metabolism.

Article 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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017705PMC
http://dx.doi.org/10.1038/s41467-023-36983-2DOI Listing

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