Evidence map›Paper›PMID 30917553›Full record

ReviewCells2019

Import of Non-Coding RNAs into Human Mitochondria: A Critical Review and Emerging Approaches.

Damien Jeandard, Anna Smirnova, Ivan Tarassov, Eric Barrey, Alexandre Smirnov, Nina Entelis

Abstract readReview
In one paragraph

Review in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

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  18. Challenges and opportunities to bridge translational to clinical research for personalized mitochondrial medicine.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024
    Review
  19. Article
  20. Article
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.

Damien JeandardUMR 7156 GMGM Strasbourg University/CNRS, 67000 Strasbourg, France. damien.jeandard@etu.unistra.fr.
Anna SmirnovaUMR 7156 GMGM Strasbourg University/CNRS, 67000 Strasbourg, France. a.smirnova@unistra.fr.
Ivan TarassovUMR 7156 GMGM Strasbourg University/CNRS, 67000 Strasbourg, France. i.tarassov@unistra.fr.
Eric BarreyGABI-UMR1313, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France. eric.barrey@inra.fr.
Alexandre SmirnovUMR 7156 GMGM Strasbourg University/CNRS, 67000 Strasbourg, France. alexandresmirnov@unistra.fr.ORCID 0000-0002-9142-7979
Nina EntelisUMR 7156 GMGM Strasbourg University/CNRS, 67000 Strasbourg, France. n.entelis@unistra.fr.ORCID 0000-0002-7915-5528

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondria harbor their own genetic system, yet critically depend on the import of a number of nuclear-encoded macromolecules to ensure their expression. In all eukaryotes, selected non-coding RNAs produced from the nuclear genome are partially redirected into the mitochondria, where they participate in gene expression. Therefore, the mitochondrial RNome represents an intricate mixture of the intrinsic transcriptome and the extrinsic RNA importome. In this review, we summarize and critically analyze data on the nuclear-encoded transcripts detected in human mitochondria and outline the proposed molecular mechanisms of their mitochondrial import. Special attention is given to the various experimental approaches used to study the mitochondrial RNome, including some recently developed genome-wide and in situ techniques.

Indexed as

HumansMitochondriaModels, BiologicalRNA, MitochondrialRNA TransportRNA, UntranslatedRNA, MitochondrialRNA, UntranslatedmicroscopymitochondriaPNPaseRNA importRNA importome landscaping

Identifiers

PMID30917553
PMCPMC6468882

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.