Evidence map›Paper›PMID 32376600›Full record

ArticleeNeuro

Differential Stability of miR-9-5p and miR-9-3p in the Brain Is Determined by Their Unique

C K Kim, A Asimes, M Zhang, B T Son, J A Kirk, T R Pak

Open access · goldAbstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Age and 17β-Estradiol (ENon-coding RNA · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. miRNA degradation in the mammalian brain.American journal of physiology. Cell physiology · 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

6 authors at 1 institution in 1 country.

C K KimDepartment of Cell and Molecular Physiology, Loyola University Chicago, Maywood, IL 60153 ckim9@luc.edu.
A AsimesDepartment of Cell and Molecular Physiology, Loyola University Chicago, Maywood, IL 60153.
M ZhangDepartment of Cell and Molecular Physiology, Loyola University Chicago, Maywood, IL 60153.
B T SonDepartment of Cell and Molecular Physiology, Loyola University Chicago, Maywood, IL 60153.
J A KirkDepartment of Cell and Molecular Physiology, Loyola University Chicago, Maywood, IL 60153.
T R PakDepartment of Cell and Molecular Physiology, Loyola University Chicago, Maywood, IL 60153.
Loyola University Chicago · US

Funding

Ligand-independent signaling of estrogen receptor beta and the aging brainR01AG033605 · NIA · LOYOLA UNIVERSITY CHICAGO · PI PAK, TONI R. · 2009 to 2021
$3.7M
NIA NIH HHS R01 AG033605
6 · The paper itself

Abstract

microRNAs (miRs) are fundamental regulators of protein coding genes. In the CNS, miR-9 is highly enriched and critical for neuronal development and function. Mature miRs are derived from a duplex precursor, and the -5p strand ("guide") is preferentially incorporated into an RNA-induced silencing complex (RISC) to exert its regulatory functions, while the complementary -3p strand ("passenger") is thought to be rapidly degraded. By contrast, both strands of the miR-9 duplex have unique functions critical for neuronal physiology, yet their respective degradation rates and mechanisms governing degradation are not well understood. Therefore, we determined the degradation kinetics of miR-9-5p and miR-9-3p and investigated the

Indexed as

MicroRNAsBase SequenceBrainMicroRNAsdegradationhippocampushypothalamusmicroRNAratstability

Identifiers

PMID32376600
PMCPMC7294468
OpenAlexW3022334832

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.