Dataset Information

Multi-omics profiling reveals microRNA-mediated insulin signaling networks.

ABSTRACT:

Background

MicroRNAs (miRNAs) play a key role in mediating the action of insulin on cell growth and the development of diabetes. However, few studies have been conducted to provide a comprehensive overview of the miRNA-mediated signaling network in response to glucose in pancreatic beta cells. In our study, we established a computational framework integrating multi-omics profiles analyses, including RNA sequencing (RNA-seq) and small RNA sequencing (sRNA-seq) data analysis, inverse expression pattern analysis, public data integration, and miRNA targets prediction to illustrate the miRNA-mediated regulatory network at different glucose concentrations in INS-1 pancreatic beta cells (INS-1), which display important characteristics of the pancreatic beta cells.

Results

We applied our computational framework to the expression profiles of miRNA/mRNA of INS-1, at different glucose concentrations. A total of 1437 differentially expressed genes (DEGs) and 153 differentially expressed miRNAs (DEmiRs) were identified from multi-omics profiles. In particular, 121 DEmiRs putatively regulated a total of 237 DEGs involved in glucose metabolism, fatty acid oxidation, ion channels, exocytosis, homeostasis, and insulin gene regulation. Moreover, Argonaute 2 immunoprecipitation sequencing, qRT-PCR, and luciferase assay identified Crem, Fn1, and Stc1 are direct targets of miR-146b and elucidated that miR-146b acted as a potential regulator and promising target to understand the insulin signaling network.

Conclusions

In this study, the integration of experimentally verified data with system biology framework extracts the miRNA network for exploring potential insulin-associated miRNA and their target genes. The findings offer a potentially significant effect on the understanding of miRNA-mediated insulin signaling network in the development and progression of pancreatic diabetes.

SUBMITTER: Lin YC

PROVIDER: S-EPMC7496206 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Publications

Multi-omics profiling reveals microRNA-mediated insulin signaling networks.

Lin Yang-Chi-Dung YC Huang Hsi-Yuan HY Shrestha Sirjana S Chou Chih-Hung CH Chen Yen-Hua YH Chen Chi-Ru CR Hong Hsiao-Chin HC Li Jing J Chang Yi-An YA Chiew Men-Yee MY Huang Ya-Rong YR Tu Siang-Jyun SJ Sun Ting-Hsuan TH Weng Shun-Long SL Tseng Ching-Ping CP Huang Hsien-Da HD

BMC bioinformatics 20200917 Suppl 13

<h4>Background</h4>MicroRNAs (miRNAs) play a key role in mediating the action of insulin on cell growth and the development of diabetes. However, few studies have been conducted to provide a comprehensive overview of the miRNA-mediated signaling network in response to glucose in pancreatic beta cells. In our study, we established a computational framework integrating multi-omics profiles analyses, including RNA sequencing (RNA-seq) and small RNA sequencing (sRNA-seq) data analysis, inverse expre ...[more]

PMID: 32938376

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Dataset Information

Multi-omics profiling reveals microRNA-mediated insulin signaling networks.

Background

Results

Conclusions

Publications

Multi-omics profiling reveals microRNA-mediated insulin signaling networks.

Similar Datasets

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