Evidence map›Paper›PMID 31963421›Full record

ArticleCells2020

Intragenic MicroRNAs Autoregulate Their Host Genes in Both Direct and Indirect Ways-A Cross-Species Analysis.

Maximilian Zeidler, Alexander Hüttenhofer, Michaela Kress, Kai K Kummer

Open access · goldAbstract read
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

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  14. Non-coding RNAs in neuropathic pain.Neuronal signaling · 2020
    Review
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

4 authors at 1 institution in 1 country.

Maximilian ZeidlerInstitute of Physiology, Medical University of Innsbruck, 6020 Innsbruck, Austria.
Alexander HüttenhoferInstitute of Genomics and RNomics, Medical University of Innsbruck, 6020 Innsbruck, Austria.
Michaela KressInstitute of Physiology, Medical University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0002-8921-7470
Kai K KummerInstitute of Physiology, Medical University of Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0002-5854-6503
Innsbruck Medical University · AT

Funding

Austrian Science Fund FWF P 28611Austrian Science Fund FWF P 30809
6 · The paper itself

Abstract

MicroRNAs (miRNAs) function as master switches for post-transcriptional gene expression. Their genes are either located in the extragenic space or within host genes, but these intragenic miRNA::host gene interactions are largely enigmatic. The aim of this study was to investigate the location and co-regulation of all to date available miRNA sequences and their host genes in an unbiased computational approach. The majority of miRNAs were located within intronic regions of protein-coding and non-coding genes. These intragenic miRNAs exhibited both increased target probability as well as higher target prediction scores as compared to a model of randomly permutated genes. This was associated with a higher number of miRNA recognition elements for the hosted miRNAs within their host genes. In addition, strong indirect autoregulation of host genes through modulation of functionally connected gene clusters by intragenic miRNAs was demonstrated. In addition to direct miRNA-to-host gene targeting, intragenic miRNAs also appeared to interact with functionally related genes, thus affecting their host gene function through an indirect autoregulatory mechanism. This strongly argues for the biological relevance of autoregulation not only for the host genes themselves but, more importantly, for the entire gene cluster interacting with the host gene.

Indexed as

AnimalsComputational BiologyDatabases, GeneticDrosophilaExonsGene Expression RegulationHomeostasisHumansIntronsMiceMicroRNAsModels, GeneticMultigene FamilyProtein Interaction MappingRNA, AntisenseZebrafishMicroRNAsRNA, AntisenseautoregulationexonicextragenicintragenicintronicmicroRNAspecies

Identifiers

PMID31963421
PMCPMC7016697
OpenAlexW3000498707

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.