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Identification of MicroRNA-Target Gene-Transcription Factor Regulatory Networks in Colorectal Adenoma Using

Yadong Gao1,2, Shenglai Zhang1,2, Yan Zhang1,2

  • 1Department of Gastroenterology, The Second Affiliated Hospital of Nantong University, Nantong, China.

Frontiers in Genetics
|June 9, 2020
PubMed
Abstract

Insights

Researchers identified key genes, microRNAs (miRNAs), and transcription factors (TFs) to understand colorectal adenoma (CRA) molecular mechanisms. The study constructed regulatory networks, offering insights into CRA pathogenesis.

Area of Science:

  • Molecular biology
  • Genomics
  • Bioinformatics

Background:

  • Colorectal adenoma (CRA) is a precancerous condition.
  • Understanding the molecular mechanisms of CRA is crucial for early detection and treatment.

Purpose of the Study:

  • To identify key genes, microRNAs (miRNAs), and transcription factors (TFs) involved in colorectal adenoma (CRA).
  • To construct miRNA-target gene-TF regulatory networks for CRA.
  • To investigate the underlying molecular mechanisms of CRA.

Main Methods:

  • Downloaded and analyzed mRNA and miRNA expression datasets from the Gene Expression Omnibus (GEO) database.
  • Identified differentially expressed genes (DEGs) and miRNAs (DEMs) in CRA samples compared to normal and colorectal cancer (CRC) samples.
  • Constructed protein-protein interaction (PPI) networks and miRNA-target gene-TF regulatory networks using bioinformatics tools like Cytoscape, ClueGO, and iRegulon.

Main Results:

  • Identified 514 DEGs and 167 DEMs in CRA versus normal samples.
  • Functional enrichment analysis revealed DEGs involved in cell migration and bile secretion.
  • Identified key DEMs (hsa-miR-34a, hsa-miR-96, hsa-miR-29c) and constructed associated miRNA-target gene-TF regulatory networks.

Conclusions:

  • The study identified key molecular players and regulatory networks in colorectal adenoma (CRA).
  • These findings provide insights into the pathogenesis of CRA and may aid in developing diagnostic or therapeutic strategies.
Keywords:
bioinformaticcolorectal adenomadifferentially expressed genesdifferentially expressed miRNAsregulatory networktranscription factor

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