Evidence map›Paper›PMID 29364956›Full record

ArticlePloS one2018

The long noncoding RNA lncR492 inhibits neural differentiation of murine embryonic stem cells.

Maria Winzi, Nuria Casas Vila, Maciej Paszkowski-Rogacz, Li Ding, Svenja Noack, Mirko Theis, Falk Butter, Frank Buchholz

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  13. Long noncoding RNAs in neurodevelopment and Parkinson's disease.Animal models and experimental medicine · 2019
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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

8 authors.

Maria WinziMedical Systems Biology, Faculty of Medicine Carl Gustav Carus, University Cancer Center, TU Dresden, Dresden, Germany.ORCID 0000-0003-4925-5605
Nuria Casas VilaQuantitative Proteomics, Institute of Molecular Biology (IMB) gGmbH, Mainz, Germany.
Maciej Paszkowski-RogaczMedical Systems Biology, Faculty of Medicine Carl Gustav Carus, University Cancer Center, TU Dresden, Dresden, Germany.
Li DingMedical Systems Biology, Faculty of Medicine Carl Gustav Carus, University Cancer Center, TU Dresden, Dresden, Germany.
Svenja NoackMedical Systems Biology, Faculty of Medicine Carl Gustav Carus, University Cancer Center, TU Dresden, Dresden, Germany.
Mirko TheisMedical Systems Biology, Faculty of Medicine Carl Gustav Carus, University Cancer Center, TU Dresden, Dresden, Germany.
Falk ButterQuantitative Proteomics, Institute of Molecular Biology (IMB) gGmbH, Mainz, Germany.
Frank BuchholzMedical Systems Biology, Faculty of Medicine Carl Gustav Carus, University Cancer Center, TU Dresden, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA interference (RNAi) screens have been shown to be valuable to study embryonic stem cell (ESC) self-renewal and they have been successfully applied to identify coding as well as noncoding genes required for maintaining pluripotency. Here, we used an RNAi library targeting >640 long noncoding RNAs (lncRNA) to probe for their role in early cell differentiation. Utilizing a Sox1-GFP ESC reporter cell line, we identified the lncRNA lncR492 as lineage-specific inhibitor of neuroectodermal differentiation. Molecular characterization showed that lncR492 interacts with the mRNA binding protein HuR and facilitates its inhibitory function by activation of Wnt signaling. Thus, lncRNAs modulate the fate decision of pluripotent stem cells.

Indexed as

Cell DifferentiationAnimalsEmbryonic Stem CellsMiceNeuronsReverse Transcriptase Polymerase Chain ReactionRNA InterferenceRNA, Long NoncodingRNA, Long Noncoding

Identifiers

PMID29364956
PMCPMC5783419

What OpenQuestion holds

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Registered trials

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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.