Evidence map›Paper›PMID 25806046›Full record

ReviewFrontiers in genetics2015

Non-coding RNA in neural function, disease, and aging.

Kirk Szafranski, Karan J Abraham, Karim Mekhail

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

43 citing papers in PubMed, 84 citations in OpenAlex.

  1. Optogenetic Tools for Regulating RNA Metabolism and Functions.Chembiochem : a European journal of chemical biology · 2024
    Review
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  8. Identification of the protective effect ofPharmaceutical biology · 2021
    Article
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  12. Review
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  14. Epigenetic changes during aging and their reprogramming potential.Critical reviews in biochemistry and molecular biology · 2019
    Review
  15. Article
  16. Profiling changes in cortical astroglial cells following chronic stress.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018
    Article
  17. Article
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  19. Review
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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.

Kirk SzafranskiDepartment of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto Toronto, ON, Canada.
Karan J AbrahamDepartment of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto Toronto, ON, Canada.
Karim MekhailDepartment of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto Toronto, ON, Canada ; Canada Research Chairs Program, Faculty of Medicine, University of Toronto Toronto, ON, Canada.
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Declining brain and neurobiological function is arguably one of the most common features of human aging. The study of conserved aging processes as well as the characterization of various neurodegenerative diseases using different genetic models such as yeast, fly, mouse, and human systems is uncovering links to non-coding RNAs. These links implicate a variety of RNA-regulatory processes, including microRNA function, paraspeckle formation, RNA-DNA hybrid regulation, nucleolar RNAs and toxic RNA clearance, amongst others. Here we highlight these connections and reveal over-arching themes or questions related to recently appreciated roles of non-coding RNA in neural function and dysfunction across lifespan.

Indexed as

ATXN2FUSlncRNAmiRNAneurodegenerationR-loopsSETXTDP-43

Identifiers

PMID25806046
PMCPMC4353379
OpenAlexW2006992053

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.