Integrative Analysis Revealing Human Adipose-Specific Genes and Consolidating Obesity Loci

Scientific Reports
Jinsoo AhnKichoon Lee

Abstract

Identification of adipose-specific genes has contributed to an understanding of mechanisms underlying adipocyte development and obesity. Herein, our analyses of the recent Genotype-Tissue Expression (GTEx) database revealed 38 adipose-specific/enhanced protein coding genes, among which 3 genes were novel adipose-specific, and 414 highly differentially expressed genes (DEGs) between subcutaneous and omental adipose depots. By integrative analyses of genome-wide association studies (GWASs), 14 adipose-specific/enhanced genes and 60 DEGs were found to be associated with obesity-related traits and diseases, consolidating evidence for contribution of these genes to the regional fat distribution and obesity phenotypes. In addition, expression of HOXC cluster was up-regulated in subcutaneous adipose tissue, and the majority of the HOXB cluster was expressed highly in omental adipose tissue, indicating differential expression patterns of HOX clusters in adipose depots. Our findings on the distinct gene expression profiles in adipose tissue and their relation to obesity provide an important foundation for future functional biological studies and therapeutic targets in obesity and associated diseases.

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Citations

May 31, 2020·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Meenakshi Sudhakaran, Andrea I Doseff
Aug 23, 2020·International Journal of Molecular Sciences·Komal SodhiJoseph I Shapiro
Oct 23, 2020·Nutrition & Metabolism·Yang XiaoElizabeth R Gilbert
Nov 5, 2021·The International Journal of Behavioral Nutrition and Physical Activity·Guiomar MasipUNKNOWN IDEFICS/I.Family Consortia
Jan 6, 2022·American Journal of Physiology. Gastrointestinal and Liver Physiology·Haowei ZhangTuo Deng

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Datasets Mentioned

BETA
GSE12050

Methods Mentioned

BETA
chip
RNA-Seq
PCR
electrophoresis
X-ray

Software Mentioned

GTEx
Bioconductor limma
R package
clusterProfiler
Ensembl
GOPlot
PhenoGram
GEO Series

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