Evidence map›Paper›PMID 28949831›Full record

ArticleRNA biology2018

MBNL expression in autoregulatory feedback loops.

Patryk Konieczny, Ewa Stepniak-Konieczna, Krzysztof Sobczak

Open access · hybridAbstract read
In one paragraph

Article in RNA biology, 2018. 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
2.9field-weighted citation impact, top 8% 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, 58 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Patryk Koniecznya Department of Gene Expression , Institute of Molecular Biology and Biotechnology, Adam Mickiewicz University , Poland.
Ewa Stepniak-Koniecznaa Department of Gene Expression , Institute of Molecular Biology and Biotechnology, Adam Mickiewicz University , Poland.
Krzysztof Sobczaka Department of Gene Expression , Institute of Molecular Biology and Biotechnology, Adam Mickiewicz University , Poland.
Adam Mickiewicz University in Poznań · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscleblind-like (MBNL) proteins bind to hundreds of pre- and mature mRNAs to regulate their alternative splicing, alternative polyadenylation, stability and subcellular localization. Once MBNLs are withheld from transcript regulation, cellular machineries generate products inapt for precise embryonal/adult developmental tasks and myotonic dystrophy, a devastating multi-systemic genetic disorder, develops. We have recently demonstrated that all three MBNL paralogs are capable of fine-tuning cellular content of one of the three MBNL paralogs, MBNL1, by binding to the first coding exon (e1) of its pre-mRNA. Intriguingly, this autoregulatory feedback loop grounded on alternative splicing of e1 appears to play a crucial role in delaying the onset of myotonic dystrophy. Here, we describe this process in the context of other autoregulatory and regulatory loops that maintain the content and diverse functions of MBNL proteins at optimal level in health and disease, thus supporting the overall cellular homeostasis.

Indexed as

Alternative SplicingExonsFeedback, PhysiologicalGene Expression Regulation, DevelopmentalHumansMyotonic DystrophyPolyadenylationProtein BindingRNA-Binding ProteinsRNA PrecursorsRNA Splicing FactorsMBNL1 protein, humanRBFOX1 protein, humanRNA-Binding ProteinsRNA PrecursorsRNA Splicing FactorsAlternative splicingautoregulationfeedback loopMBNL1muscleblind-likemyotonic dystrophyRBFOXtherapeutic strategies

Identifiers

PMID28949831
PMCPMC5786016
OpenAlexW2760469823

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.