Heat shock response in CHO mammalian cells is controlled by a nonlinear stochastic process

Ovidiu Lipan, Jean Marc Navenot, Zixuan Wang, Lei Huang, Stephen C. Peiper

Research output: Contribution to journalArticle

13 Scopus citations

Abstract

In many biological systems, the interactions that describe the coupling between different units in a genetic network are nonlinear and stochastic. We study the interplay between stochasticity and nonlinearity using the responses of Chinese hamster ovary (CHO) mammalian cells to different temperature shocks. The experimental data show that the mean value response of a cell population can be described by a mathematical expression (empirical law) which is valid for a large range of heat shock conditions. A nonlinear stochastic theoretical model was developed that explains the empirical law for the mean response. Moreover, the theoretical model predicts a specific biological probability distribution of responses for a cell population. The prediction was experimentally confirmed by measurements at the single-cell level. The computational approach can be used to study other nonlinear stochastic biological phenomena.

Original languageEnglish (US)
Pages (from-to)1859-1870
Number of pages12
JournalPLoS Computational Biology
Volume3
Issue number10
DOIs
StatePublished - Oct 2007

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Modeling and Simulation
  • Ecology
  • Molecular Biology
  • Genetics
  • Cellular and Molecular Neuroscience
  • Computational Theory and Mathematics

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