Mathematical modeling of genome replication

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 typ...

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Main Authors: Retkute, Renata, Nieduszynski, Conrad A., Moura, Alessandro de
Format: Article
Published: American Physical Society 2012
Online Access:https://eprints.nottingham.ac.uk/2495/
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author Retkute, Renata
Nieduszynski, Conrad A.
Moura, Alessandro de
author_facet Retkute, Renata
Nieduszynski, Conrad A.
Moura, Alessandro de
author_sort Retkute, Renata
building Nottingham Research Data Repository
collection Online Access
description 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 >107 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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spelling nottingham-24952020-05-04T20:22:47Z https://eprints.nottingham.ac.uk/2495/ Mathematical modeling of genome replication Retkute, Renata Nieduszynski, Conrad A. Moura, Alessandro de 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 >107 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. American Physical Society 2012 Article PeerReviewed Retkute, Renata, Nieduszynski, Conrad A. and Moura, Alessandro de (2012) Mathematical modeling of genome replication. Physical Review E, 86 . 031916/1-031916/15. ISSN 1539-3755 http://journals.aps.org/pre/abstract/10.1103/PhysRevE.86.031916 doi:10.1103/PhysRevE.86.031916 doi:10.1103/PhysRevE.86.031916
spellingShingle Retkute, Renata
Nieduszynski, Conrad A.
Moura, Alessandro de
Mathematical modeling of genome replication
title Mathematical modeling of genome replication
title_full Mathematical modeling of genome replication
title_fullStr Mathematical modeling of genome replication
title_full_unstemmed Mathematical modeling of genome replication
title_short Mathematical modeling of genome replication
title_sort mathematical modeling of genome replication
url https://eprints.nottingham.ac.uk/2495/
https://eprints.nottingham.ac.uk/2495/
https://eprints.nottingham.ac.uk/2495/