Expression of Splicing Factor Genes is Reduced in Human Obesity and Contributes to Enhanced Lipogenesis

Alternative mRNA splicing provides transcript diversity and has been proposed to contribute to several human diseases. Here, we demonstrate that expression of genes regulating RNA processing is decreased in both liver and skeletal muscle of obese humans. To determine the metabolic impact of reduced splicing factor expression, we further evaluated the splicing factor, SFRS10, identified as down-regulated in obese human liver and skeletal muscle and in high fat fed rodents. siRNA-mediated reductions in SFRS10 expression induced lipogenesis and lipid accumulation in cultured hepatocytes. Moreover, SFRS10 heterozygous mice have both increased hepatic lipogenic gene expression and hypertriglyceridemia. We also demonstrate that LPIN1, a key regulator of lipid metabolism, is a splicing target of SFRS10, with reduced SFRS10 levels favoring the lipogenic β isoform of LPIN1. Importantly, LPIN1β-specific siRNA abolished the lipogenic effects of decreased SFRS10 expression. Together, our results indicate reduced expression of SFRS10 alters LPIN1 splicing and induces lipogenesis, demonstrating that reduced splicing factor expression observed in human tissues may contribute to metabolic phenotypes associated with human obesity.

Dataset features

Information

Specifications

Application:	Gene expression microarray analysis
Number of samples:	17
Release date:	Aug 3 2011
Last update date:	Oct 29 2018
Access:	Public
Diseases:	Hypertriglyceridemia
Genes:	SLU7, TRA2B, DUN1, LPIN1
Dataset link	Expression of Splicing Factor Genes is Reduced in Human Obesity and Contributes to Enhanced Lipogenesis

Experimental Protocol

Skeletal muscle samples were obtained from 10 lean control subjects and 7 obese subjects with either IGT or DM2 undergoing elective cholecystectomy. Data for liver samples presented in the same manuscript are available at GEO GSE15653. In this analysis RNA was isolated for cRNA preparation and hybridized to Affymetrix Human Genome U133 Plus 2.0 microarrays.

Repositories

GEO

GSE22435

ArrayExpress

E-GEOD-22435

BioProject

PRJNA128545

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Contact

Mary Elizabeth Patti