Evidence map›Paper›PMID 31122291›Full record

ArticleBMC medical genomics2019

MicroRNA-655-3p and microRNA-497-5p inhibit cell proliferation in cultured human lip cells through the regulation of genes related to human cleft lip.

Mona Gajera, Neha Desai, Akiko Suzuki, Aimin Li, Musi Zhang, Goo Jun, Peilin Jia, 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 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.9field-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

20 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Analysis of MSX1, RYK, NFκB p65, and CCL4 Proteins andInternational journal of molecular sciences · 2025
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. MicroRNAs and Gene Regulatory Networks Related to Cleft Lip and Palate.International journal of molecular sciences · 2023
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
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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

9 authors at 2 institutions in 1 country.

Mona GajeraDepartment of Diagnostic & Biomedical Sciences, School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Neha DesaiDepartment of Diagnostic & Biomedical Sciences, School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX, USA.
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.
Musi ZhangDepartment of Diagnostic & Biomedical Sciences, School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Goo JunDepartment of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Peilin JiaCenter for Precision Health, School of Biomedical Informatics, 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 · US

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
Identification of microRNAs associated with cleft lipR03DE026509 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI · 2017 to 2018
$462k
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
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
Transcriptional and Post-transcriptional Co-regulation in Lip DevelopmentR03DE027393 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI IWATA, JUNICHI, ZHAO, ZHONGMING · 2018 to 2019
$308k
Deep learning methods to predict the function of genetic variants in orofacial cleftsR03DE027711 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHAO, ZHONGMING · 2018 to 2019
$308k
Mining Genomic Data in FaceBase for Cleft GenesR03DE028103 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHAO, ZHONGMING · 2018 to 2019
$308k
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 DE027393NIDCR NIH HHS R03 DE027711NIDCR NIH HHS R03 DE028103NIDCR NIH HHS R03 DE028340NLM NIH HHS R01 LM012806
6 · The paper itself

Abstract

backgroundThe etiology of cleft lip with or without cleft palate (CL/P), a common congenital birth defect, is complex and involves the contribution of genetic and environmental factors. Although many candidate genes have been identified, the regulation and interaction of these genes in CL/P remain unclear. In addition, the contribution of microRNAs (miRNAs), non-coding RNAs that regulate the expression of multiple genes, to the etiology of CL/P is largely unknown.

methodsTo identify the signatures of causative biological pathways for human CL/P, we conducted a systematic literature review for human CL/P candidate genes and subsequent bioinformatics analyses. Functional enrichment analyses of the candidate CL/P genes were conducted using the pathway databases GO and KEGG. The miRNA-mediated post-transcriptional regulation of the CL/P candidate genes was analyzed with miRanda, PITA, and TargetScan, and miRTarbase. Genotype-phenotype association analysis was conducted using GWAS. The functional significance of the candidate miRNAs was evaluated experimentally in cell proliferation and target gene regulation assays in human lip fibroblasts.

resultsThrough an extensive search of the main biomedical databases, we mined 177 genes with mutations or association/linkage reported in individuals with CL/P, and considered them as candidate genes for human CL/P. The genotype-phenotype association study revealed that mutations in 12 genes (ABCA4, ADAM3A, FOXE1, IRF6, MSX2, MTHFR, NTN1, PAX7, TP63, TPM1, VAX1, and WNT9B) were significantly associated with CL/P. In addition, our bioinformatics analysis predicted 16 microRNAs (miRNAs) to be post-transcriptional regulators of CL/P genes. To validate the bioinformatics results, the top six candidate miRNAs (miR-124-3p, miR-369-3p, miR-374a-5p, miR-374b-5p, miR-497-5p, and miR-655-3p) were evaluated by cell proliferation/survival assays and miRNA-gene regulation assays in cultured human lip fibroblasts. We found that miR-497-5p and miR-655-3p significantly suppressed cell proliferation in these cells. Furthermore, the expression of the predicted miRNA-target genes was significantly downregulated by either miR-497-5p or miR-655-3p mimic.

conclusionExpression of miR-497-5p and miR-655-3p suppresses cell proliferation through the regulation of human CL/P-candidate genes. This study provides insights into the role of miRNAs in the etiology of CL/P and suggests possible strategies for the diagnosis of CL/P.

Indexed as

Cell ProliferationCells, CulturedCleft LipGene Expression RegulationGene OntologyGene Regulatory NetworksGenotypeHumansLipMicroRNAsPhenotypeMicroRNAsMIRN497 microRNA, humanMIRN655 microRNA, humanBioinformatics analysisCleft lipGene mutationMicroRNASystematic review

Identifiers

PMID31122291
PMCPMC6533741
OpenAlexW2947453977

What OpenQuestion holds

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LicenceCC BY
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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.