Exploring the roles of noise in the eukaryotic cell cycle

  1. Sandip Kara,
  2. William T. Baumannb,
  3. Mark R. Paulc and
  4. John J. Tysona,1
  1. Departments of aBiological Sciences,
  2. bElectrical and Computer Engineering, and
  3. cMechanical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061
  1. Edited by John Ross, Stanford University, Stanford, CA, and approved January 11, 2009 (received for review December 30, 2008)

Abstract

The DNA replication–division cycle of eukaryotic cells is controlled by a complex network of regulatory proteins, called cyclin-dependent kinases, and their activators and inhibitors. Although comprehensive and accurate deterministic models of the control system are available for yeast cells, reliable stochastic simulations have not been carried out because the full reaction network has yet to be expressed in terms of elementary reaction steps. As a first step in this direction, we present a simplified version of the control system that is suitable for exact stochastic simulation of intrinsic noise caused by molecular fluctuations and extrinsic noise because of unequal division. The model is consistent with many characteristic features of noisy cell cycle progression in yeast populations, including the observation that mRNAs are present in very low abundance (≈1 mRNA molecule per cell for each expressed gene). For the control system to operate reliably at such low mRNA levels, some specific mRNAs in our model must have very short half-lives (<1 min). If these mRNA molecules are longer-lived (perhaps 2 min), then the intrinsic noise in our simulations is too large, and there must be some additional noise suppression mechanisms at work in cells.

Footnotes

  • 1To whom correspondence should be addressed at: Department of Biological Sciences, M.C. 0406, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061. E-mail: tyson{at}vt.edu
  • Author contributions: W.T.B., M.R.P., and J.J.T. designed research; S.K. and W.T.B. performed research; S.K., W.T.B., M.R.P., and J.J.T. analyzed data; and S.K., W.T.B., M.R.P., and J.J.T. wrote the paper.

  • The authors declare no conflict of interest.

  • This article is a PNAS Direct Submission.

  • This article contains supporting information online at www.pnas.org/cgi/content/full/0810034106/DCSupplemental.

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