Evidence map›Paper›PMID 26935043›Full record

ArticleScientific reports2016

Deciphering DNA replication dynamics in eukaryotic cell populations in relation with their averaged chromatin conformations.

A Goldar, A Arneodo, B Audit, F Argoul, A Rappailles, G Guilbaud, N Petryk, M Kahli, O Hyrien

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  5. Review
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

9 authors.

A GoldarIbitec-S, CEA, Gif-sur-Yvette, France.
A ArneodoUniversité de Lyon, F-69000 Lyon, France.
B AuditUniversité de Lyon, F-69000 Lyon, France.
F ArgoulUniversité de Lyon, F-69000 Lyon, France.
A RappaillesInstitut de Biologie de l'Ecole Normale Supérieure (IBENS) CNRS UMR8197, Inserm U1024, 75005 Paris, France.
G GuilbaudInstitut de Biologie de l'Ecole Normale Supérieure (IBENS) CNRS UMR8197, Inserm U1024, 75005 Paris, France.
N PetrykInstitut de Biologie de l'Ecole Normale Supérieure (IBENS) CNRS UMR8197, Inserm U1024, 75005 Paris, France.
M KahliInstitut de Biologie de l'Ecole Normale Supérieure (IBENS) CNRS UMR8197, Inserm U1024, 75005 Paris, France.
O HyrienInstitut de Biologie de l'Ecole Normale Supérieure (IBENS) CNRS UMR8197, Inserm U1024, 75005 Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose a non-local model of DNA replication that takes into account the observed uncertainty on the position and time of replication initiation in eukaryote cell populations. By picturing replication initiation as a two-state system and considering all possible transition configurations, and by taking into account the chromatin's fractal dimension, we derive an analytical expression for the rate of replication initiation. This model predicts with no free parameter the temporal profiles of initiation rate, replication fork density and fraction of replicated DNA, in quantitative agreement with corresponding experimental data from both S. cerevisiae and human cells and provides a quantitative estimate of initiation site redundancy. This study shows that, to a large extent, the program that regulates the dynamics of eukaryotic DNA replication is a collective phenomenon that emerges from the stochastic nature of replication origins initiation.

Indexed as

Cell LineChromatinDNA ReplicationHumansReplication OriginSaccharomyces cerevisiaeChromatin

Identifiers

PMID26935043
PMCPMC4776152

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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.