Transcriptomics

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GDF11 rapidly increases lipid accumulation in liver cancer cells through ALK5-dependent signaling


ABSTRACT: Here we used RNA-Seq to unravel the gene expression patterns and related signaling pathways that might be responsible for the observed changes in the lipidome upon GDF11 treatment of hepatocellular carcinoma cells (HCC), HepG2. RNA-seq analysis was performed after 24h of GDF11 (100ng/ml) treatment to investigate its involvement in lipid metabolism. Genes exhibiting absolute fold-change values >2 and p-values <0.05 were considered differentially expressed between contrasts and statistical differences in gene expression were assessed by the ANOVA test. The significance threshold was set to 0.05. Treatment with recombinant GDF11 had an extensive effect on the overall gene expression profile in HepG2 cells and heatmap analysis clearly segregated control and GDF11 treated samples. In total, we identified 3,357 differentially expressed genes, of which 2,422 were over-expressed, and 935 were downregulated. To gain more deep mechanistic insight into the biological processes and pathway associations with these differentially expressed genes, we analyzed our transcriptomic data by STRING pathway unbiased analysis for annotated molecular interactions of selected genes employing Kegg pathways database. The 5 top most significantly influenced canonical pathways/cellular processes were the ones related to TGF-β signaling, extracellular matrix remodeling, focal adhesion, PI3K-AKT signaling, and cytochrome P450-dependent metabolism.

ORGANISM(S): Homo sapiens

PROVIDER: GSE165842 | GEO | 2021/01/31

REPOSITORIES: GEO

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