Evidence map›Paper›PMID 29630039›Full record

ArticleJournal of visualized experiments : JoVE2018

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome.

Eric J Foss, Uyen Lao, Antonio Bedalov

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Eric J FossDivision of Clinical Research, Fred Hutchinson Cancer Research Center.
Uyen LaoDivision of Clinical Research, Fred Hutchinson Cancer Research Center.
Antonio BedalovDivision of Clinical Research, Fred Hutchinson Cancer Research Center; Departments of Medicine and Biochemistry, University of Washington; abedalov@fredhutch.org.

Funding

Origin firing at repetitive sequences and genome replication - Admin SupplementR01GM117446 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDALOV, ANTONIO · 2016 to 2023
$4.3M
NIGMS NIH HHS R01 GM117446
6 · The paper itself

Abstract

Numerous techniques have been developed to follow the progress of DNA replication through the S phase of the cell cycle. Most of these techniques have been directed toward elucidation of the location and timing of initiation of genome duplication rather than its completion. However, it is critical that we understand regions of the genome that are last to complete replication, because these regions suffer elevated levels of chromosomal breakage and mutation, and they have been associated with both disease and aging. Here we describe how we have extended a technique that has been used to monitor replication initiation to instead identify those regions of the genome last to complete replication. This approach is based on a combination of flow cytometry and high throughput sequencing. Although this report focuses on the application of this technique to yeast, the approach can be used with any cells that can be sorted in a flow cytometer according to DNA content.

Indexed as

Flow CytometryGenomicsHigh-Throughput Nucleotide SequencingHumansSaccharomyces cerevisiae

Identifiers

PMID29630039
PMCPMC5933243

What OpenQuestion holds

Textmetadata
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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.