Evidence map›Paper›PMID 20205354›Full record

ArticleChromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology2010

Mathematical modelling of eukaryotic DNA replication.

Olivier Hyrien, Arach Goldar

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

26 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Rpd3 regulates single-copy origins independently of the rDNA array by opposing Fkh1-mediated origin stimulation.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. DNA replication timing.Cold Spring Harbor perspectives in biology · 2013
    Review
  14. Article
  15. Article
  16. Article
  17. Mathematical modeling of genome replication.Physical review. E, Statistical, nonlinear, and soft matter physics · 2012
    Article
  18. Article
  19. Article
  20. Article
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

2 authors at 2 institutions in 1 country.

Olivier HyrienEcole Normale Supérieure, UMR CNRS 8541, 46 rue d'Ulm, 75005 Paris, France. hyrien@biologie.ens.fr
Arach Goldar
Centre National de la Recherche Scientifique · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eukaryotic DNA replication is a complex process. Replication starts at thousand origins that are activated at different times in S phase and terminates when converging replication forks meet. Potential origins are much more abundant than actually fire within a given S phase. The choice of replication origins and their time of activation is never exactly the same in any two cells. Individual origins show different efficiencies and different firing time probability distributions, conferring stochasticity to the DNA replication process. High-throughput microarray and sequencing techniques are providing increasingly huge datasets on the population-averaged spatiotemporal patterns of DNA replication in several organisms. On the other hand, single-molecule replication mapping techniques such as DNA combing provide unique information about cell-to-cell variability in DNA replication patterns. Mathematical modelling is required to fully comprehend the complexity of the chromosome replication process and to correctly interpret these data. Mathematical analysis and computer simulations have been recently used to model and interpret genome-wide replication data in the yeast Saccharomyces cerevisiae and Schizosaccharomyces pombe, in Xenopus egg extracts and in mammalian cells. These works reveal how stochasticity in origin usage confers robustness and reliability to the DNA replication process.

Indexed as

DNA ReplicationModels, TheoreticalAnimalsGenes, FungalSchizosaccharomycesStochastic ProcessesXenopus laevis

Identifiers

PMID20205354
OpenAlexW2009118440

What OpenQuestion holds

Textmetadata
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.