Evidence map›Paper›PMID 30482756›Full record

ArticleThe EMBO journal2019

A common molecular logic determines embryonic stem cell self-renewal and reprogramming.

Sara-Jane Dunn, Meng Amy Li, Elena Carbognin, Austin Smith, Graziano Martello

Abstract read
In one paragraph

Article in The EMBO journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  8. Canalizing kernel for cell fate determination.Briefings in bioinformatics · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Sara-Jane DunnMicrosoft Research, Cambridge, UK.ORCID 0000-0002-5964-1043
Meng Amy LiWellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.ORCID 0000-0002-6619-9919
Elena CarbogninDepartment of Molecular Medicine, University of Padua, Padua, Italy.ORCID 0000-0001-6591-6915
Austin SmithWellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK austin.smith@cscr.cam.ac.uk graziano.martello@unipd.it.ORCID 0000-0002-3029-4682
Graziano MartelloDepartment of Molecular Medicine, University of Padua, Padua, Italy austin.smith@cscr.cam.ac.uk graziano.martello@unipd.it.ORCID 0000-0001-5520-085X

Funding

Wellcome Trust
6 · The paper itself

Abstract

During differentiation and reprogramming, new cell identities are generated by reconfiguration of gene regulatory networks. Here, we combined automated formal reasoning with experimentation to expose the logic of network activation during induction of naïve pluripotency. We find that a Boolean network architecture defined for maintenance of naïve state embryonic stem cells (ESC) also explains transcription factor behaviour and potency during resetting from primed pluripotency. Computationally identified gene activation trajectories were experimentally substantiated at single-cell resolution by RT-qPCR Contingency of factor availability explains the counterintuitive observation that Klf2, which is dispensable for ESC maintenance, is required during resetting. We tested 124 predictions formulated by the dynamic network, finding a predictive accuracy of 77.4%. Finally, we show that this network explains and predicts experimental observations of somatic cell reprogramming. We conclude that a common deterministic program of gene regulation is sufficient to govern maintenance and induction of naïve pluripotency. The tools exemplified here could be broadly applied to delineate dynamic networks underlying cell fate transitions.

Indexed as

AnimalsCell DifferentiationCells, CulturedCell Self RenewalCellular ReprogrammingComputational BiologyCRISPR-Cas SystemsEmbryonic Stem CellsEpigenesis, GeneticGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Regulatory NetworksMiceMouse Embryonic Stem CellsPluripotent Stem Cellsabstract boolean networkformal verificationmaintenance and reprogrammingnaive pluripotencytranscription factor network modelling

Identifiers

PMID30482756
PMCPMC6316172

What OpenQuestion holds

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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.