Evidence map›Paper›PMID 27899507›Full record

ReviewDevelopment (Cambridge, England)2016

Cycling through developmental decisions: how cell cycle dynamics control pluripotency, differentiation and reprogramming.

Abdenour Soufi, Stephen Dalton

Open access · greenAbstract readReview
In one paragraph

Review in Development (Cambridge, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed
9.4field-weighted citation impact, top 2% 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

122 citing papers in PubMed, 210 citations in OpenAlex.

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  9. Dynamic expression of the zebrafish (Danio rerio) proteome across early larval development.Comparative biochemistry and physiology. Part D, Genomics & proteomics · 2025
    Article
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62 more citing papers are in PubMed but not listed here.

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 2 institutions in 2 countries.

Abdenour SoufiInstitute of Stem Cell Research, MRC Centre for Regenerative Medicine, University of Edinburgh, Edinburgh, UK sdalton@uga.edu Abdenour.Soufi@ed.ac.uk.
Stephen DaltonCenter for Molecular Medicine and Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602, USA sdalton@uga.edu Abdenour.Soufi@ed.ac.uk.ORCID 0000-0002-3450-1263
MRC Centre for Regenerative Medicine · GBUniversity of Georgia · US

Funding

UNDERSTANDING MECHANISMS OF hESC SELF-RENEWAL AND CELL FATE COMMITMENTP01GM085354 · NIGMS · UNIVERSITY OF GEORGIA · PI DALTON, STEPHEN · 2008 to 2018
$18.3M
Medical Research Council MR/N024028/1NIGMS NIH HHS P01 GM085354
6 · The paper itself

Abstract

A strong connection exists between the cell cycle and mechanisms required for executing cell fate decisions in a wide-range of developmental contexts. Terminal differentiation is often associated with cell cycle exit, whereas cell fate switches are frequently linked to cell cycle transitions in dividing cells. These phenomena have been investigated in the context of reprogramming, differentiation and trans-differentiation but the underpinning molecular mechanisms remain unclear. Most progress to address the connection between cell fate and the cell cycle has been made in pluripotent stem cells, in which the transition through mitosis and G1 phase is crucial for establishing a window of opportunity for pluripotency exit and the initiation of differentiation. This Review will summarize recent developments in this area and place them in a broader context that has implications for a wide range of developmental scenarios.

Indexed as

AnimalsCell DifferentiationCellular ReprogrammingEmbryonic Stem CellsG1 PhaseHumansMitosisPluripotent Stem CellsCell cycleCell fateDifferentiationPluripotencyReprogrammingStem cells

Identifiers

PMID27899507
PMCPMC5201050
OpenAlexW2557367524

What OpenQuestion holds

Textmetadata
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.