A mathematical model linking Ca2+-dependent signaling pathway and gene expression regulation in Human Skeletal Muscle

I. R. Akberdin, A. Yu Vertyshev, S. S. Pintus, D. V. Popov, F. A. Kolpakov

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The physiological adaptation to aerobic endurance exercises is provided by activation of signaling pathways in skeletal muscle cells. Training-induced activation of specific signaling pathways results in significant transcriptional responses. Despite the ongoing endeavours to experimentally investigate regulatory mechanisms and signal transduction pathways involved in the contraction-induced adaptation, quantitative contribution of certain signal molecules in expression regulation of genes responsible for intracellular response has not been studied comprehensively yet. The paper presents novel developed model linking Ca2+-dependent signaling pathway and downstream transcription regulation of early and late response genes in human skeletal muscle during exercise. Numerical analysis of the model enabled to reveal crucial steps in this signal transduction pathway for the adaptation and demonstrated the necessity of consideration of additional transcription factors regulating transcription of late response genes in order to adequately reproduce gene expression data that were taken in human vastus lateralis muscle during and after acute cycling exercise.

Original languageEnglish
Pages (from-to)20-39
Number of pages20
JournalMathematical Biology and Bioinformatics
Volume15
Issue number1
DOIs
Publication statusPublished - 1 Jan 2020

Keywords

  • BioUML
  • Ca-dependent signaling pathway
  • Mathematical model
  • Physical exercise
  • Regulation of expression
  • RNA sequencing
  • Skeletal muscle
  • Transcriptome

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