Evidence map›Paper›PMID 28272375›Full record

ReviewGenes2017

Regulation of DNA Replication through Natural  Impediments in the Eukaryotic Genome.

Mariana C Gadaleta, Eishi Noguchi

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Cellular Responses to Widespread DNA Replication Stress.International journal of molecular sciences · 2023
    Review
  5. Characterization of Unidirectional Replication Forks in the Mouse Genome.International journal of molecular sciences · 2023
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. 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 1 institution in 1 country.

Mariana C GadaletaDepartment of Biochemistry and Molecular Biology, Drexel University College of Medicine, Philadelphia, PA 19102, USA. gadaleta@scripps.edu.
Eishi NoguchiDepartment of Biochemistry and Molecular Biology, Drexel University College of Medicine, Philadelphia, PA 19102, USA. enoguchi@drexelmed.edu.
Drexel University · US

Funding

Studies of the Swi1-Swi3 Replication Fork Protection ComplexR01GM077604 · NIGMS · DREXEL UNIVERSITY · PI NOGUCHI, EISHI · 2008 to 2012
$1.6M
NIGMS NIH HHS R01 GM077604
6 · The paper itself

Abstract

All living organisms need to duplicate their genetic information while protecting it from unwanted mutations, which can lead to genetic disorders and cancer development. Inaccuracies during DNA replication are the major cause of genomic instability, as replication forks are prone to stalling and collapse, resulting in DNA damage. The presence of exogenous DNA damaging agents as well as endogenous difficult-to-replicate DNA regions containing DNA-protein complexes, repetitive DNA, secondary DNA structures, or transcribing RNA polymerases, increases the risk of genomic instability and thus threatens cell survival. Therefore, understanding the cellular mechanisms required to preserve the genetic information during S phase is of paramount importance. In this review, we will discuss our current understanding of how cells cope with these natural impediments in order to prevent DNA damage and genomic instability during DNA replication.

Indexed as

difficult‐to‐replicateDNA damageDNA  replicationgenomic  instabilitynatural impedimentsrepetitive DNAreplication  forkreplication  machineryreplisomesecondary structures

Identifiers

PMID28272375
PMCPMC5368702
OpenAlexW2591610664

What OpenQuestion holds

Textmetadata
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.