Evidence map›Paper›PMID 35205293›Full record

ReviewGenes2022

Nicholas Rhind

Abstract readReview
In one paragraph

Review in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. DNA replication timing: Biochemical mechanisms and biological significance.BioEssays : news and reviews in molecular, cellular and developmental biology · 2022
    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

1 author.

Nicholas RhindBiochemistry and Molecular Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA.ORCID 0000-0003-1758-7736

Funding

Genome-Wide Single-Molecule Analysis of Human Replication Kinetics - Diversity SupplementR01GM125872 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI RHIND, NICHOLAS R · 2018 to 2021
$2.0M
NIGMS NIH HHS R01 GM125872
6 · The paper itself

Abstract

Stochastic models of replication timing posit that origin firing timing is regulated by origin firing probability, with early-firing origins having a high probability of firing and late-firing origins having a lower probability. However, they offer no insight into why one origin should have a higher firing probability than another. Here, a simple framework is suggested for how to approach the question by noting that the firing probability (

Indexed as

DNA Replication TimingReplication OriginDNA HelicasesDNA ReplicationDNA HelicasesMCMorigin firingreplication timingstochastic model

Identifiers

PMID35205293
PMCPMC8872135

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.