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Physical review. E, Statistical, nonlinear, and soft matter physics
Sep, 2012;86 (3 Pt 1): 031916.

Mathematical modeling of genome replication.

Renata Retkute, Conrad A Nieduszynski, Alessandro de Moura
Author Information
  1. Renata Retkute: Centre for Genetics and Genomics, University of Nottingham, Nottingham NG7 2UH, United Kingdom.
PMID: 23030953 DOI: 10.1103/PhysRevE.86.031916

Abstract

Eukaryotic DNA replication is initiated from multiple sites on the chromosome, but little is known about the global and local regulation of replication. We present a mathematical model for the spatial dynamics of DNA replication, which offers insight into the kinetics of replication in different types of organisms. Most biological experiments involve average quantities over large cell populations (typically >10(7) cells) and therefore can mask the cell-to-cell variability present in the system. Although the model is formulated in terms of a population of cells, using mathematical analysis we show that one can obtain signatures of stochasticity in individual cells from averaged quantities. This work generalizes the result by Retkute et al. [Phys. Rev. Lett. 107, 068103 (2011)] to a broader set of parameter regimes.

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Grants

  1. BB/E023754/1/Biotechnology and Biological Sciences Research Council
  2. BB/G001596/1/Biotechnology and Biological Sciences Research Council
  3. BB-G010722/Biotechnology and Biological Sciences Research Council

MeSH Term

Chromosomes, Fungal
DNA Replication
DNA, Fungal
Genome
Kinetics
Models, Genetic
Normal Distribution
Probability
Saccharomyces cerevisiae
Stochastic Processes

Chemicals

DNA, Fungal
Journal Article Research Support, Non-U.S. Gov't
Article has an altmetric score of 1

Word Cloud

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