Evidence map›Paper›PMID 27939387›Full record

ReviewBiophysical chemistry2017

Combining electron microscopy with single molecule DNA fiber approaches to study DNA replication dynamics.

Alessandro Vindigni, Massimo Lopes

Abstract readReview
In one paragraph

Review in Biophysical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Driving Forces for Single DNA Stretching Assessed byChemical & biomedical imaging · 2023
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. International journal of molecular sciences · 2021
    Review
  13. Review
  14. Review
  15. Review
  16. Single-Molecule Techniques to Study Chromatin.Frontiers in cell and developmental biology · 2021
    Review
  17. Review
  18. Article
  19. Article
  20. 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

2 authors.

Alessandro VindigniDepartment of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St. Louis, MO 63104, USA. Electronic address: avindign@slu.edu.
Massimo LopesInstitute of Molecular Cancer Research, University of Zurich, 8057 Zurich, Switzerland. Electronic address: lopes@imcr.uzh.ch.

Funding

New Mechanisms of Replication Stress ResponseR01GM108648 · NIGMS · SAINT LOUIS UNIVERSITY · PI VINDIGNI, ALESSANDRO · 2014 to 2018
$1.4M
NIGMS NIH HHS R01 GM108648
6 · The paper itself

Abstract

Replication stress is a crucial driver of genomic instability. Understanding the mechanisms of replication stress response is instrumental to improve diagnosis and treatment of human disease. Electron microscopy (EM) is currently the technique of choice to directly visualize a high number of replication intermediates and to monitor their remodeling upon stress. At the same time, DNA fiber analysis is useful to gain mechanistic insight on how genotoxic agents perturb replication fork dynamics genome-wide at single-molecule resolution. Combining these techniques has proven invaluable to achieve a comprehensive view of the mechanisms that ensure error-free processing of damaged replication forks. Here, we review how EM and single-molecule DNA fiber approaches can be used together to shed light into the mechanisms of replication stress response and discuss important cautions to be taken into account when comparing results obtained by EM and DNA fiber.

Indexed as

DNA ReplicationDNA DamageGenomic InstabilityHumansMicroscopy, ElectronMutagensSingle Molecule ImagingMutagens

Identifiers

PMID27939387
PMCPMC5457720

What OpenQuestion holds

Textmetadata
LicenceTDM
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.