Evidence map›Paper›PMID 27124358›Full record

ArticleRNA biology2017

Identification of miR-34 regulatory networks in settings of disease and antimiR-therapy: Implications for treating cardiac pathology and other diseases.

Jenny Y Y Ooi, Bianca C Bernardo, Saloni Singla, Natalie L Patterson, Ruby C Y Lin, Julie R McMullen

Open access · bronzeAbstract read
In one paragraph

Article in RNA biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.3field-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

28 citing papers in PubMed, 56 citations in OpenAlex.

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  17. Noncoding RNAs regulating cardiac muscle mass.Journal of applied physiology (Bethesda, Md. : 1985) · 2019
    Review
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  19. Effects of HIV-1 gp120 and TAT-derived microvesicles on endothelial cell function.Journal of applied physiology (Bethesda, Md. : 1985) · 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

6 authors at 2 institutions in 1 country.

Jenny Y Y Ooia Cardiac Hypertrophy Laboratory , Baker IDI Heart and Diabetes Institute , Melbourne , Australia.
Bianca C Bernardoa Cardiac Hypertrophy Laboratory , Baker IDI Heart and Diabetes Institute , Melbourne , Australia.
Saloni Singlaa Cardiac Hypertrophy Laboratory , Baker IDI Heart and Diabetes Institute , Melbourne , Australia.
Natalie L Pattersona Cardiac Hypertrophy Laboratory , Baker IDI Heart and Diabetes Institute , Melbourne , Australia.
Ruby C Y Linb Asbestos Diseases Research Institute , Sydney , Australia.
Julie R McMullena Cardiac Hypertrophy Laboratory , Baker IDI Heart and Diabetes Institute , Melbourne , Australia.
Baker Heart and Diabetes Institute · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Expression of the miR-34 family (miR-34a, -34b, -34c) is elevated in settings of heart disease, and inhibition with antimiR-34a/antimiR-34 has emerged as a promising therapeutic strategy. Under chronic cardiac disease settings, targeting the entire miR-34 family is more effective than targeting miR-34a alone. The identification of transcription factor (TF)-miRNA regulatory networks has added complexity to understanding the therapeutic potential of miRNA-based therapies. Here, we sought to determine whether antimiR-34 targets secondary miRNAs via TFs which could contribute to antimiR-34-mediated protection. Using miRNA-Seq we identified differentially regulated miRNAs in hearts from mice with cardiac pathology due to transverse aortic constriction (TAC), and focused on miRNAs which were also regulated by antimiR-34. Two clusters of stress-responsive miRNAs were classified as "pathological" and "cardioprotective," respectively. Using ChIPBase we identified 45 TF binding sites on the promoters of "pathological" and "cardioprotective" miRNAs, and 5 represented direct targets of miR-34, with the capacity to regulate other miRNAs. Knockdown studies in a cardiomyoblast cell line demonstrated that expression of 2 "pathological" miRNAs (let-7e, miR-31) was regulated by one of the identified TFs. Furthermore, by qPCR we confirmed that expression of let-7e and miR-31 was lower in hearts from antimiR-34 treated TAC mice; this may explain why targeting the entire miR-34 family is more effective than targeting miR-34a alone. Finally, we showed that Acsl4 (a common target of miR-34, let-7e and miR-31) was increased in hearts from TAC antimiR-34 treated mice. In summary, antimiR-34 regulates the expression of other miRNAs and this has implications for drug development.

Indexed as

Gene Regulatory NetworksAdultAnalysis of VarianceAnimalsCardiomegalyCell LineCoenzyme A LigasesDisease Models, AnimalGene Expression RegulationHeart FailureHeart VentriclesHumansMaleMiceMice, Inbred StrainsMicroRNAsAcsl4 protein, mouseCoenzyme A LigasesMicroRNAsMIRN34a microRNA, mousePlacebosTranscription FactorsHeart diseasemicroRNAmiRNA networksmiR-Seqtherapy

Identifiers

PMID27124358
PMCPMC5449084
OpenAlexW2343450311

What OpenQuestion holds

Textmetadata
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.