Evidence map›Paper›PMID 31262291›Full record

ArticleBMC medical genomics2019

MicroRNA-374a, -4680, and -133b suppress cell proliferation through the regulation of genes associated with human cleft palate in cultured human palate cells.

Akiko Suzuki, Aimin Li, Mona Gajera, Nada Abdallah, Musi Zhang, Zhongming Zhao, Junichi Iwata

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Plants (Basel, Switzerland) · 2025
    Article
  5. Article
  6. Review
  7. Protective effect ofNagoya journal of medical science · 2024
    Article
  8. Review
  9. Review
  10. MicroRNAs and Gene Regulatory Networks Related to Cleft Lip and Palate.International journal of molecular sciences · 2023
    Review
  11. Review
  12. Dexamethasone Suppresses Palatal Cell Proliferation through miR-130a-3p.International journal of molecular sciences · 2021
    Article
  13. Article
  14. Review
  15. DeepVISP: Deep Learning for Virus Site Integration Prediction and Motif Discovery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. ExcessiveFrontiers in cell and developmental biology · 2021
    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

7 authors at 3 institutions in 2 countries.

Akiko SuzukiDepartment of Diagnostic & Biomedical Sciences, School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Aimin LiCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Mona GajeraDepartment of Diagnostic & Biomedical Sciences, School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Nada AbdallahDepartment of Diagnostic & Biomedical Sciences, School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Musi ZhangDepartment of Diagnostic & Biomedical Sciences, School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Zhongming ZhaoCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Junichi IwataDepartment of Diagnostic & Biomedical Sciences, School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX, USA. Junichi.Iwata@uth.tmc.edu.ORCID 0000-0003-3975-6836
The University of Texas Health Science Center at Houston · USThe University of Texas MD Anderson Cancer Center · USXi'an University of Technology · CN

Funding

Transforming dbGaP genetic and genomic data to FAIR-ready by artificial intelligence and machine learning algorithmsR01LM012806 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Zhongming Zhao · 2017 to 2026
$3.7M
Molecular Regulatory Mechanism of Calvaria Bone Development and HomeostasisR01DE026767 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI · 2017 to 2021
$1.8M
Transcripts and Functions Targeted by Non-coding RNAs in Palate DevelopmentR03DE026208 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI · 2016 to 2017
$462k
Identification of microRNAs associated with cleft lipR03DE026509 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI · 2017 to 2018
$462k
MicroRNA and Transcription Factor Co-regulation in CancerR21CA196508 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHAO, ZHONGMING · 2016 to 2017
$368k
Molecular Regulatory Network in Frontonasal DevelopmentR03DE028340 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI · 2019 to 2020
$309k
Role of WNT Signaling in Craniofacial Muscle DevelopmentR03DE024759 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI · 2015 to 2016
$231k
NCI NIH HHS R21 CA196508NIDCR NIH HHS R01 DE026767NIDCR NIH HHS R03 DE024759NIDCR NIH HHS R03 DE026208NIDCR NIH HHS R03 DE026509NIDCR NIH HHS R03 DE028340NLM NIH HHS R01 LM012806
6 · The paper itself

Abstract

backgroundCleft palate (CP) is the second most common congenital birth defect; however, the relationship between CP-associated genes and epigenetic regulation remains largely unknown. In this study, we investigated the contribution of microRNAs (miRNAs) to cell proliferation and regulation of genes involved in CP development.

methodsIn order to identify all genes for which mutations or association/linkage have been found in individuals with CP, we conducted a systematic literature search, followed by bioinformatics analyses for these genes. We validated the bioinformatics results experimentally by conducting cell proliferation assays and miRNA-gene regulatory analyses in cultured human palatal mesenchymal cells treated with each miRNA mimic.

resultsWe identified 131 CP-associated genes in the systematic review. The bioinformatics analysis indicated that the CP genes were associated with signaling pathways, microRNAs (miRNAs), metabolic pathways, and cell proliferation. A total 17 miRNAs were recognized as potential modifiers of human CP genes. To validate miRNA function in cell proliferation, a main cause of CP, we conducted cell proliferation/viability assays for the top 11 candidate miRNAs from our bioinformatics analysis. Overexpression of miR-133b, miR-374a-5p, and miR-4680-3p resulted in a more than 30% reduction in cell proliferation activity in human palatal mesenchymal cell cultures. We found that several downstream target CP genes predicted by the bioinformatics analyses were significantly downregulated through induction of these miRNAs (FGFR1, GCH1, PAX7, SMC2, and SUMO1 by miR-133b; ARNT, BMP2, CRISPLD1, FGFR2, JARID2, MSX1, NOG, RHPN2, RUNX2, WNT5A and ZNF236 by miR-374a-5p; and ERBB2, JADE1, MTHFD1 and WNT5A by miR-4680-3p) in cultured cells.

conclusionsOur results indicate that miR-374a-5p, miR-4680-3p, and miR-133b regulate expression of genes that are involved in the etiology of human CP, providing insight into the association between CP-associated genes and potential targets of miRNAs in palate development.

Indexed as

Cell ProliferationCells, CulturedCleft PalateComputational BiologyEpigenesis, GeneticGene Expression RegulationHumansMicroRNAsPalateMicroRNAsMIRN133 microRNA, humanMIRN374 microRNA 374, humanMIRN4680 microRNA, humanBioinformaticsCleft palateGene mutationGene ontologyKEGG pathwaymicroRNA

Identifiers

PMID31262291
PMCPMC6604454
OpenAlexW2953642677

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.