Single-cell transcriptional networks in differentiating preadipocytes suggest drivers associated with tissue heterogeneity
Ramirez, Alfred K.
Dankel, Simon N.
Kahn, C. Ronald
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Citation (published version)Alfred K Ramirez, Simon N Dankel, Bashir Rastegarpanah, Weikang Cai, Ruidan Xue, Mark Crovella, Yu-Hua Tseng, C Ronald Kahn, Simon Kasif. 2020. "Single-cell transcriptional networks in differentiating preadipocytes suggest drivers associated with tissue heterogeneity.." Nat Commun, Volume 11, Issue 1, pp. 2117 - ?. https://doi.org/10.1038/s41467-020-16019-9
White adipose tissue plays an important role in physiological homeostasis and metabolic disease. Different fat depots have distinct metabolic and inflammatory profiles and are differentially associated with disease risk. It is unclear whether these differences are intrinsic to the pre-differentiated stage. Using single-cell RNA sequencing, a unique network methodology and a data integration technique, we predict metabolic phenotypes in differentiating cells. Single-cell RNA-seq profiles of human preadipocytes during adipogenesis in vitro identifies at least two distinct classes of subcutaneous white adipocytes. These differences in gene expression are separate from the process of browning and beiging. Using a systems biology approach, we identify a new network of zinc-finger proteins that are expressed in one class of preadipocytes and is potentially involved in regulating adipogenesis. Our findings gain a deeper understanding of both the heterogeneity of white adipocytes and their link to normal metabolism and disease.
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