Evidence map›Paper›PMID 27593875›Full record

ArticleYonsei medical journal2016

Suppression of MicroRNA let-7a Expression by Agmatine Regulates Neural Stem Cell Differentiation.

Juhyun Song, Yumi Oh, Jong Youl Kim, Kyoung Joo Cho, Jong Eun Lee

Open access · goldAbstract read
In one paragraph

Article in Yonsei medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Brain injury and neural stem cells.Neural regeneration research · 2018
    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

5 authors at 1 institution in 1 country.

Juhyun SongDepartment of Anatomy, Yonsei University College of Medicine, Seoul, Korea.
Yumi OhDepartment of Anatomy, Yonsei University College of Medicine, Seoul, Korea.
Jong Youl KimDepartment of Anatomy, Yonsei University College of Medicine, Seoul, Korea.
Kyoung Joo ChoDepartment of Anatomy, Yonsei University College of Medicine, Seoul, Korea.
Jong Eun LeeDepartment of Anatomy, Yonsei University College of Medicine, Seoul, Korea.
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNeural stem cells (NSCs) effectively reverse some severe central nervous system (CNS) disorders, due to their ability to differentiate into neurons. Agmatine, a biogenic amine, has cellular protective effects and contributes to cellular proliferation and differentiation in the CNS. Recent studies have elucidated the function of microRNA let-7a (let-7a) as a regulator of cell differentiation with roles in regulating genes associated with CNS neurogenesis. MATERIALS AND

methodsThis study aimed to investigate whether agmatine modulates the expression of crucial regulators of NSC differentiation including DCX, TLX, c-Myc, and ERK by controlling let-7a expression.

resultsOur data suggest that high levels of let-7a promoted the expression of TLX and c-Myc, as well as repressed DCX and ERK expression. In addition, agmatine attenuated expression of TLX and increased expression of ERK by negatively regulating let-7a.

conclusionOur study therefore enhances the present understanding of the therapeutic potential of NSCs in CNS disorders.

Indexed as

AgmatineCell DifferentiationCell ProliferationHumansMicroRNAsNeural Stem CellsNeurogenesisNeuronsAgmatineMicroRNAsagmatineDCXERKmicroRNA let-7a (let-7a)Neural stem cell (NSCs)TLX

Identifiers

PMID27593875
PMCPMC5011279
OpenAlexW2508286099

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.