Evidence map›Paper›PMID 21179244›Full record

ArticlePloS one2010

The PluriNetWork: an electronic representation of the network underlying pluripotency in mouse, and its applications.

Anup Som, Clemens Harder, Boris Greber, Marcin Siatkowski, Yogesh Paudel, Gregor Warsow, Clemens Cap, Hans Schöler, Georg Fuellen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

37 citing papers in PubMed, 73 citations in OpenAlex.

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  15. The gene regulatory network of mESC differentiation: a benchmark for reverse engineering methods.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
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  18. Reprogramming cell fate with a genome-scale library of artificial transcription factors.Proceedings of the National Academy of Sciences of the United States of America · 2016
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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

9 authors at 4 institutions in 1 country.

Anup SomInstitute for Biostatistics and Informatics in Medicine and Ageing Research, University of Rostock, Rostock, Germany.
Clemens Harder
Boris Greber
Marcin Siatkowski
Yogesh Paudel
Gregor Warsow
Clemens Cap
Hans Schöler
Georg Fuellen
University of Rostock · DEMax Planck Institute for Molecular Biomedicine · DEGerman Center for Neurodegenerative Diseases · DEUniversität Greifswald · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnalysis of the mechanisms underlying pluripotency and reprogramming would benefit substantially from easy access to an electronic network of genes, proteins and mechanisms. Moreover, interpreting gene expression data needs to move beyond just the identification of the up-/downregulation of key genes and of overrepresented processes and pathways, towards clarifying the essential effects of the experiment in molecular terms. METHODOLOGY/PRINCIPAL

findingsWe have assembled a network of 574 molecular interactions, stimulations and inhibitions, based on a collection of research data from 177 publications until June 2010, involving 274 mouse genes/proteins, all in a standard electronic format, enabling analyses by readily available software such as Cytoscape and its plugins. The network includes the core circuit of Oct4 (Pou5f1), Sox2 and Nanog, its periphery (such as Stat3, Klf4, Esrrb, and c-Myc), connections to upstream signaling pathways (such as Activin, WNT, FGF, BMP, Insulin, Notch and LIF), and epigenetic regulators as well as some other relevant genes/proteins, such as proteins involved in nuclear import/export. We describe the general properties of the network, as well as a Gene Ontology analysis of the genes included. We use several expression data sets to condense the network to a set of network links that are affected in the course of an experiment, yielding hypotheses about the underlying mechanisms. CONCLUSIONS/SIGNIFICANCE: We have initiated an electronic data repository that will be useful to understand pluripotency and to facilitate the interpretation of high-throughput data. To keep up with the growth of knowledge on the fundamental processes of pluripotency and reprogramming, we suggest to combine Wiki and social networking software towards a community curation system that is easy to use and flexible, and tailored to provide a benefit for the scientist, and to improve communication and exchange of research results. A PluriNetWork tutorial is available at http://www.ibima.med.uni-rostock.de/IBIMA/PluriNetWork/.

Indexed as

AlgorithmsAnimalsCell DifferentiationEpigenomicsGene Expression ProfilingGene Expression RegulationGene Expression Regulation, DevelopmentalKruppel-Like Factor 4MiceModels, BiologicalModels, GeneticPluripotent Stem CellsProtein BindingSignal TransductionSoftwareTranscription, GeneticKruppel-Like Factor 4

Identifiers

PMID21179244
PMCPMC3003487
OpenAlexW2011182193

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.