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f = m*a: A Framework for Investigating the Regulation of Replication Timing
Stochastic models of replication timing posit that origin firing timing is regulated by origin firing probability, with early-firing origins having a high probability of firing and late-firing origins having a lower probability. However, they offer no insight into why one origin should have a higher...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872135/ https://www.ncbi.nlm.nih.gov/pubmed/35205293 http://dx.doi.org/10.3390/genes13020249 |
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author | Rhind, Nicholas |
author_facet | Rhind, Nicholas |
author_sort | Rhind, Nicholas |
collection | PubMed |
description | Stochastic models of replication timing posit that origin firing timing is regulated by origin firing probability, with early-firing origins having a high probability of firing and late-firing origins having a lower probability. However, they offer no insight into why one origin should have a higher firing probability than another. Here, a simple framework is suggested for how to approach the question by noting that the firing probability (f) must be the product of the stoichiometry of the MCM replicative helicase loaded at the origin (m) and the probability with which that MCM is activated (a). This framework emphasizes that mechanistic understanding of replication timing must focus on MCM loading and activation and can be simplified to the equation f = m*a. |
format | Online Article Text |
id | pubmed-8872135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88721352022-02-25 f = m*a: A Framework for Investigating the Regulation of Replication Timing Rhind, Nicholas Genes (Basel) Review Stochastic models of replication timing posit that origin firing timing is regulated by origin firing probability, with early-firing origins having a high probability of firing and late-firing origins having a lower probability. However, they offer no insight into why one origin should have a higher firing probability than another. Here, a simple framework is suggested for how to approach the question by noting that the firing probability (f) must be the product of the stoichiometry of the MCM replicative helicase loaded at the origin (m) and the probability with which that MCM is activated (a). This framework emphasizes that mechanistic understanding of replication timing must focus on MCM loading and activation and can be simplified to the equation f = m*a. MDPI 2022-01-28 /pmc/articles/PMC8872135/ /pubmed/35205293 http://dx.doi.org/10.3390/genes13020249 Text en © 2022 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Rhind, Nicholas f = m*a: A Framework for Investigating the Regulation of Replication Timing |
title | f = m*a: A Framework for Investigating the Regulation of Replication Timing |
title_full | f = m*a: A Framework for Investigating the Regulation of Replication Timing |
title_fullStr | f = m*a: A Framework for Investigating the Regulation of Replication Timing |
title_full_unstemmed | f = m*a: A Framework for Investigating the Regulation of Replication Timing |
title_short | f = m*a: A Framework for Investigating the Regulation of Replication Timing |
title_sort | f = m*a: a framework for investigating the regulation of replication timing |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872135/ https://www.ncbi.nlm.nih.gov/pubmed/35205293 http://dx.doi.org/10.3390/genes13020249 |
work_keys_str_mv | AT rhindnicholas fmaaframeworkforinvestigatingtheregulationofreplicationtiming |