Dataset Information

Exploring differentially expressed genes related to metabolism by RNA-Seq in porcine embryonic fibroblast after insulin treatment.

ABSTRACT:

Background

Insulin regulates glucose homeostasis and has important effects on metabolism, cell growth, and differentiation. Depending on the cell type and physiological context, insulin signal has specific pathways and biological outcomes in different tissues and cells. For studying the signal pathway of insulin on glycolipid metabolism in porcine embryonic fibroblast (PEF), we used high-throughput sequencing to monitor gene expression patterns regulated by insulin.

Objectives

The goal of our research was to see how insulin affected glucose and lipid metabolism in PEFs.

Methods

We cultured the PEFs with the addition of insulin and sampled them at 0, 48, and 72 h for RNA-Seq analysis in triplicate for each time point.

Results

At 48 and 72 h, 801 and 1,176 genes were differentially expressed, respectively. Of these, 272 up-regulated genes and 264 down-regulated genes were common to both time points. Gene Ontology analysis was used to annotate the functions of the differentially expressed genes (DEGs), the biological processes related to lipid metabolism and cell cycle were dominant. And the DEGs were significantly enriched in interleukin-17 signaling pathway, phosphatidylinositol-3-kinase-protein kinase B signaling pathway, pyruvate metabolism, and others pathways related to lipid metabolism by Kyoto Encyclopedia of Genes and Genomes enrichment analysis.

Conclusions

These results elucidate the transcriptomic response to insulin in PEF. The genes and pathways involved in the transcriptome mechanisms provide useful information for further research into the complicated molecular processes of insulin in PEF.

SUBMITTER: Liang Y

PROVIDER: S-EPMC9715385 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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Publications

Exploring differentially expressed genes related to metabolism by RNA-Seq in porcine embryonic fibroblast after insulin treatment.

Liang Yingjuan Y Wang Jinpeng J Li Xinyu X Wu Shuang S Jiang Chaoqian C Wang Yue Y Li Xuechun X Liu Zhong-Hua ZH Mu Yanshuang Y

Journal of veterinary science 20221101 6

<h4>Background</h4>Insulin regulates glucose homeostasis and has important effects on metabolism, cell growth, and differentiation. Depending on the cell type and physiological context, insulin signal has specific pathways and biological outcomes in different tissues and cells. For studying the signal pathway of insulin on glycolipid metabolism in porcine embryonic fibroblast (PEF), we used high-throughput sequencing to monitor gene expression patterns regulated by insulin.<h4>Objectives</h4>The ...[more]

PMID: 36448436

Similar Datasets

Project description:Purpose: In this study,RNA-Seq technology was used to analyse the effects of insulin on glucose and lipid metabolism of fibroblasts in pigs. We focus mainly on the cellular mechanisms of insulin signalling and on new insights into pathways of primary relevance to insulin’s metabolic effects. Methods: porcine embryonic fibroblast(PEF) mRNA profiles of control group and insulin treated group were generated by deep sequencing, in triplicate,using Illumina HiSeq 2000. Paired-end clean reads were aligned to the reference genome using Hisat2. Featurecounts was used to count the read numbers mapped to each gene. Then, the expected number of fragments per kilobase of transcript sequence per million base pairs sequenced (FPKM) was calculated for each gene based on the length of the gene and the read counts mapped to the gene. qRT–PCR validation was performed using TB Green assays. Results: A total of 439,950,662 clean reads filtered from 458,016,778 paired-end raw reads were identified, Of these sequence reads, 94.89%–97.20% was successfully aligned with the Sus scrofa. After insulin treated, a total of 801 and 1176 genes were differentially expressed after 48 and 72 h, respectively. Of these, 272 up-regulated genes and 264 down-regulated genes were common to both time points. The functions of the differentially expressed genes were annotated by a GO analysis, the biological processes related lipid metabolism and cell cycle were dominant. Via KEGG enrichment analysis, we found the DEGs were significantly enriched in IL-17 signaling pathway, PI3K-Akt signaling pathway, pyruvate metabolism, and others pathway related to lipid metabolism. These results elucidate the transcriptomic response to insulin in PEF. Conclusions: Our data support a role of the insulin on lipid and glucose metabolism, show an association among insulin, glycolipid metabolism and cell cycle in PEF . Our study identified some important genes associated with metabolic and these genes can be used to increase our understanding of the mechanism of relieving the metabolic disturbance induced by insulin. Additionally, PEF treated with insulin would provides a useful cell model for glycolipid metabolism disorder such as diabetes.

Dataset Information

Exploring differentially expressed genes related to metabolism by RNA-Seq in porcine embryonic fibroblast after insulin treatment.

Background

Objectives

Methods

Results

Conclusions

Publications

Exploring differentially expressed genes related to metabolism by RNA-Seq in porcine embryonic fibroblast after insulin treatment.

Similar Datasets

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