Evidence map›Paper›PMID 35290633›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Studying Single-Stranded DNA Gaps at Replication Intermediates by Electron Microscopy.

Jessica Jackson, Alessandro Vindigni

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Jessica JacksonDivision of Oncology, Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
Alessandro VindigniDivision of Oncology, Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA. avindigni@wustl.edu.

Funding

Mechanisms of replication fork protection and recoveryR01CA248526 · NCI · WASHINGTON UNIVERSITY · PI Alessandro Vindigni, Lee Zou · 2020 to 2026
$3.6M
Replication fork repriming versus reversalR01CA237263 · NCI · WASHINGTON UNIVERSITY · PI Alessandro Vindigni · 2019 to 2026
$3.0M
NCI NIH HHS R01 CA237263NCI NIH HHS R01 CA248526
6 · The paper itself

Abstract

Single-stranded DNA gaps are frequent structures that accumulate on newly synthesized DNA under conditions of replication stress. The identification of these single-stranded DNA gaps has been instrumental to uncover the mechanisms that allow the DNA replication machinery to skip intrinsic replication obstacles or DNA lesions. DNA fiber assays provide an essential tool for detecting perturbations in DNA replication fork dynamics genome-wide at single molecule resolution along with identifying the presence of single-stranded gaps when used in combination with S1 nuclease. However, electron microscopy is the only technique allowing the actual visualization and localization of single-stranded DNA gaps on replication forks. This chapter provides a detailed method for visualizing single-stranded DNA gaps at the replication fork by electron microscopy including psoralen cross-linking of cultured mammalian cells, extraction of genomic DNA, and finally enrichment of replication intermediates followed by spreading and platinum rotary shadowing of the DNA onto grids. Discussion on identification and analysis of these gaps as well as on the advantages and disadvantages of electron microscopy relative to the DNA fiber technique is also included.

Indexed as

DNA ReplicationDNA, Single-StrandedAnimalsDNAFicusinMammalsMicroscopy, ElectronDNADNA, Single-StrandedFicusinDNA replicationDNA replication stressElectron microscopyReplication structuresssDNA gaps

Identifiers

PMID35290633
PMCPMC9728461

What OpenQuestion holds

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Registered trials

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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.