Evidence map›Paper›PMID 25376939›Full record

ArticleNeurochemical research2015

Computational identification and experimental validation of microRNAs binding to the fragile X syndrome gene Fmr1.

Xi Gong, Yanlu Wang, Jianping Zeng, Siguang Li, Yuping Luo

Abstract read
PubMed Publisher
In one paragraph

Article in Neurochemical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 35% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Frontiers in genetics · 2022
    Article
  5. Article
  6. Article
  7. 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

5 authors at 3 institutions in 1 country.

Xi GongState Key Laboratory of Food Science and Technology, College of Life Sciences, Nanchang University, Nanchang, 330031, China.
Yanlu Wang
Jianping Zeng
Siguang Li
Yuping Luo
State Key Laboratory of Food Science and Technology · CNNanchang University · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) usually bind to their target mRNAs through imperfect base pairing in the 3'-untranslated regions (3' UTRs) and regulate target gene expression via post-transcriptional suppression. In recent years, computational approaches to predict miRNA targets have facilitated the identification of potential target sites. In this study, we used three programs TargetScan, miRDB and miRanda to predict potential miRNA binding sites to the fragile X gene Fmr1 and picked out 61 miRNAs which were predicted by all three programs for further investigation. Excitingly, 5 out of these miRNAs, miR-23a, miR-32, miR-124, miR-335-5p and miR-350, were experimentally verified by luciferase reporter assays. Furthermore, overexpression of miR-124 in mouse embryonic neural progenitor cells (eNPC) could not only significantly reduce Fmr1 level, but also increase Cdk4 and cyclin D1 levels which coincidently promoted eNPC proliferation. Our results imply that miR-124 plays an important role in the proliferation of mouse embryonic stem cells by promoting Cdk4 and cyclin D1 expression through directly inhibiting Fmr1 expression.

Indexed as

AnimalsAntimetabolitesBromodeoxyuridineComputational BiologyFemaleFragile X Messenger Ribonucleoprotein 1Fragile X SyndromeGenetic VectorsLentivirusMiceMicroRNAsNeural Stem CellsPregnancyPrimary Cell CultureProtein BindingRNA, Small InterferingAntimetabolitesBromodeoxyuridineFmr1 protein, mouseFragile X Messenger Ribonucleoprotein 1MicroRNAsMirn124 microRNA, mouseRNA, Small Interfering

Identifiers

PMID25376939
OpenAlexW2070531549

What OpenQuestion holds

Textmetadata
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.