Single-cell transcriptional networks in differentiating preadipocytes suggest drivers associated with tissue heterogeneity

39Citations
Citations of this article
110Readers
Mendeley users who have this article in their library.

Abstract

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.

References Powered by Scopus

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

54481Citations
N/AReaders
Get full text

STAR: Ultrafast universal RNA-seq aligner

29792Citations
N/AReaders
Get full text

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

28704Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Targeting PI3K/AKT signaling pathway in obesity

107Citations
N/AReaders
Get full text

Toward a Consensus View of Mammalian Adipocyte Stem and Progenitor Cell Heterogeneity

84Citations
N/AReaders
Get full text

An update on brown adipose tissue biology: A discussion of recent findings

69Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Ramirez, A. K., Dankel, S. N., Rastegarpanah, B., Cai, W., Xue, R., Crovella, M., … Kasif, S. (2020). Single-cell transcriptional networks in differentiating preadipocytes suggest drivers associated with tissue heterogeneity. Nature Communications, 11(1). https://doi.org/10.1038/s41467-020-16019-9

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 31

53%

Researcher 18

31%

Professor / Associate Prof. 6

10%

Lecturer / Post doc 3

5%

Readers' Discipline

Tooltip

Biochemistry, Genetics and Molecular Bi... 26

62%

Agricultural and Biological Sciences 8

19%

Engineering 4

10%

Immunology and Microbiology 4

10%

Article Metrics

Tooltip
Mentions
Blog Mentions: 2
News Mentions: 4

Save time finding and organizing research with Mendeley

Sign up for free