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Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
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A mathematical model as a tool to identify microRNAs with highest impact on transcriptome changes.

Marzena Mura1,2, Roman Jaksik3,4, Anna Lalik3,4

  • 1Department of Systems Engineering, Institute of Automatic Control, Silesian University of Technology, ul. Akademicka 16, 44-100, Gliwice, Poland. marzena.mura@polsl.pl.

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Summary

Ionizing radiation rapidly alters messenger RNA (mRNA) levels, potentially through microRNA (miRNA) regulation. A new mathematical model identifies key miRNAs involved in these early cellular stress responses.

Keywords:
ionizing radiationmiRNAmiRNA-mRNA interactionsstressing factor

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Ionizing radiation exposure causes rapid changes in messenger RNA (mRNA) expression.
  • MicroRNA (miRNA) regulation is a potential mechanism underlying these mRNA changes.
  • Early cellular responses (1 hour post-irradiation) were investigated to isolate direct effects.

Purpose of the Study:

  • To investigate the role of microRNA (miRNA) in regulating messenger RNA (mRNA) expression following ionizing radiation.
  • To develop and apply a mathematical model for predicting miRNA-mRNA interactions and their impact on gene expression.
  • To identify specific miRNAs involved in the cellular response to ionizing radiation.

Main Methods:

  • Utilized cancer-derived cell lines transfected with luciferase reporter genes.
  • Designed experiments focusing on early time-course responses post-irradiation.
  • Developed a mathematical model to predict mRNA fold expression changes based on miRNA-mRNA interactions.

Main Results:

  • Irradiation-induced mRNA changes are dependent on specific miRNA interactions.
  • The mathematical model successfully predicted mRNA expression changes across various cell lines, doses, and times.
  • A subset of approximately 30 miRNAs significantly contributes to the transcriptome response to radiation stress in human melanoma cells.
  • These key miRNAs are enriched in GC content, target numerous transcripts, and are implicated in cancer development.

Conclusions:

  • The developed mathematical modeling approach can identify miRNAs involved in cellular responses to ionizing radiation.
  • This methodology is applicable to understanding cellular responses to other stress factors, including temperature extremes, toxins, and drugs.