Projects per year
Abstract
Eukaryotic genome replication is stochastic, and each cell uses a different cohort of replication origins. We demonstrate that interpreting high-resolution Saccharomyces cerevisiae genome replication data with a mathematical model allows quantificationof the stochastic nature of genome replication, including the efficiency of each origin and the distribution of termination events. Single-cell measurements support the inferred values for stochastic origin activation time. A strain, in which three origins were inactivated, confirmed that the distribution of termination events is primarily dictated by the stochastic activation time of origins. Cell-to-cell variability in origin activity ensures that termination events are widely distributed across virtually the whole genome. We propose that the heterogeneity in origin usage contributes to genome stability by limiting potentially deleterious events from accumulating at particular loci
Original language | English |
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Pages (from-to) | 1132-1141 |
Number of pages | 10 |
Journal | Cell Reports |
Volume | 5 |
Issue number | 4 |
Early online date | 7 Nov 2013 |
DOIs | |
Publication status | Published - 27 Nov 2013 |
ASJC Scopus subject areas
- General Biochemistry,Genetics and Molecular Biology
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Dive into the research topics of 'High-Resolution Replication Profiles Define the Stochastic Nature of Genome Replication Initiation and Termination'. Together they form a unique fingerprint.Projects
- 4 Finished
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Strategic Award: Wellcome Trust Technology Platform
Blow, J. (Investigator), Lamond, A. (Investigator) & Owen-Hughes, T. (Investigator)
1/01/13 → 30/09/18
Project: Research
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Molecular Mechanisms Regulating the Kinetochore-Microtubule Interaction in Mitosis (Principal Research Fellowship)
Tanaka, T. (Investigator)
1/04/12 → 30/04/21
Project: Research
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Aref#d: 19114. Live-Cell Analysis of Chromosome Duplication in Space and Time
Blow, J. (Investigator) & Tanaka, T. (Investigator)
1/04/08 → 30/09/13
Project: Research