Evidence map›Paper›PMID 33554116›Full record

ArticleNAR genomics and bioinformatics2021

Maria Anna Rapsomaniki, Stella Maxouri, Patroula Nathanailidou, Manuel Ramirez Garrastacho, Nickolaos Nikiforos Giakoumakis, Stavros Taraviras, John Lygeros, Zoi Lygerou

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Maria Anna RapsomanikiDepartment of Biology, School of Medicine, University of Patras, 26500 Rio Patras, Greece.ORCID 0000-0003-3883-4871
Stella MaxouriDepartment of Biology, School of Medicine, University of Patras, 26500 Rio Patras, Greece.
Patroula NathanailidouDepartment of Biology, School of Medicine, University of Patras, 26500 Rio Patras, Greece.
Manuel Ramirez GarrastachoDepartment of Biology, School of Medicine, University of Patras, 26500 Rio Patras, Greece.
Nickolaos Nikiforos GiakoumakisDepartment of Biology, School of Medicine, University of Patras, 26500 Rio Patras, Greece.
Stavros TaravirasDepartment of Physiology, School of Medicine, University of Patras, 26500 Rio Patras, Greece.
John LygerosAutomatic Control Laboratory, ETH Zurich, 8092 Zurich, Switzerland.ORCID 0000-0002-6159-1962
Zoi LygerouDepartment of Biology, School of Medicine, University of Patras, 26500 Rio Patras, Greece.ORCID 0000-0001-5683-0220

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA replication is a complex and remarkably robust process: despite its inherent uncertainty, manifested through stochastic replication timing at a single-cell level, multiple control mechanisms ensure its accurate and timely completion across a population. Disruptions in these mechanisms lead to DNA re-replication, closely connected to genomic instability and oncogenesis. Here, we present a stochastic hybrid model of DNA re-replication that accurately portrays the interplay between discrete dynamics, continuous dynamics and uncertainty. Using experimental data on the fission yeast genome, model simulations show how different regions respond to re-replication and permit insight into the key mechanisms affecting re-replication dynamics. Simulated and experimental population-level profiles exhibit a good correlation along the genome, robust to model parameters, validating our approach. At a single-cell level, copy numbers of individual loci are affected by intrinsic properties of each locus,

Identifiers

PMID33554116
PMCPMC7846089

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.