Evidence map›Paper›PMID 24595054›Full record

ArticleNature communications2014

microRNA input into a neural ultradian oscillator controls emergence and timing of alternative cell states.

Marc Goodfellow, Nicholas E Phillips, Cerys Manning, Tobias Galla, Nancy Papalopulu

Open access · hybridAbstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
7.9field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
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  5. Mathematical Modeling for Oscillations Driven by Noncoding RNAs.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  6. Review
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  9. Differential phase register of Hes1 oscillations with mitoses underlies cell-cycle heterogeneity in ERProceedings of the National Academy of Sciences of the United States of America · 2021
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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

5 authors at 2 institutions in 1 country.

Marc Goodfellow1] Faculty of Life Sciences, Michael Smith Building, The University of Manchester, Oxford Road, Manchester M13 9PT, UK [2] Present address: College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, Devon EX4 4QF, UK.
Nicholas E PhillipsFaculty of Life Sciences, Michael Smith Building, The University of Manchester, Oxford Road, Manchester M13 9PT, UK.
Cerys ManningFaculty of Life Sciences, Michael Smith Building, The University of Manchester, Oxford Road, Manchester M13 9PT, UK.
Tobias GallaTheoretical Physics, School of Physics and Astronomy, The University of Manchester, Manchester M13 9PL, UK.
Nancy PapalopuluFaculty of Life Sciences, Michael Smith Building, The University of Manchester, Oxford Road, Manchester M13 9PT, UK.
University of Manchester · GBUniversity of Exeter · GB

Funding

Wellcome Trust WT090868
6 · The paper itself

Abstract

Progenitor maintenance, timed differentiation and the potential to enter quiescence are three fundamental processes that underlie the development of any organ system. In the nervous system, progenitor cells show short-period oscillations in the expression of the transcriptional repressor Hes1, while neurons and quiescent progenitors show stable low and high levels of Hes1, respectively. Here we use experimental data to develop a mathematical model of the double-negative interaction between Hes1 and a microRNA, miR-9, with the aim of understanding how cells transition from one state to another. We show that the input of miR-9 into the Hes1 oscillator tunes its oscillatory dynamics, and endows the system with bistability and the ability to measure time to differentiation. Our results suggest that a relatively simple and widespread network of cross-repressive interactions provides a unifying framework for progenitor maintenance, the timing of differentiation and the emergence of alternative cell states.

Indexed as

AnimalsBasic Helix-Loop-Helix ProteinsCell DifferentiationCell LineHomeodomain ProteinsMiceMicroRNAsModels, TheoreticalNeural Stem CellsProtein BindingSystems BiologyTranscription Factor HES-1Basic Helix-Loop-Helix ProteinsHes1 protein, mouseHomeodomain ProteinsMicroRNAsMIRN9 microRNA, mouseTranscription Factor HES-1

Identifiers

PMID24595054
PMCPMC3959193
OpenAlexW2043183025

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.