Evidence map›Paper›PMID 40455924›Full record

ArticlePLoS computational biology2025

Regulation of replication timing in Saccharomyces cerevisiae.

Rosie Berners-Lee, Eamonn Gilmore, Francisco Berkemeier, Michael A Boemo

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Rosie Berners-LeeUniversity of St. Andrews, St. Andrews, Fife, United Kingdom.
Eamonn GilmoreDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.ORCID 0009-0005-7042-3169
Francisco BerkemeierDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.
Michael A BoemoDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-0326-8200

Funding

Leverhulme Trust
6 · The paper itself

Abstract

In order to maintain genomic integrity, DNA replication must be highly coordinated. Disruptions in this process can cause replication stress which is aberrant in many pathologies including cancer. Despite this, little is known about the mechanisms governing the temporal regulation of DNA replication initiation, thought to be related to the limited copy number of firing factors. Here, we present a high (1-kilobase) resolution stochastic model of Saccharomyces cerevisiae whole-genome replication in which origins compete to associate with limited firing factors. After developing an algorithm to fit this model to replication timing data, we validated the model by reproducing experimental inter-origin distances, origin efficiencies, and replication fork directionality. This suggests the model accurately simulates the aspects of DNA replication most important for determining its dynamics. We also use the model to predict measures of DNA replication dynamics which are yet to be determined experimentally and investigate the potential impacts of variations in firing factor concentrations on DNA replication.

Indexed as

DNA ReplicationDNA Replication TimingModels, GeneticSaccharomyces cerevisiaeAlgorithmsComputational BiologyDNA, FungalGenome, FungalReplication OriginDNA, Fungal

Identifiers

PMID40455924
PMCPMC12165382

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.