Cargando…
Identification and Validation of miRNA-TF-mRNA Regulatory Networks in Uterine Fibroids
Uterine fibroids (UF) are the most common benign gynecologic tumors and lead to heavy menstrual bleeding, severe anemia, abdominal pain, and infertility, which seriously harm a women’s health. Unfortunately, the regulatory mechanisms of UF have not been elucidated. Recent studies have demonstrated t...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981149/ https://www.ncbi.nlm.nih.gov/pubmed/35392402 http://dx.doi.org/10.3389/fbioe.2022.856745 |
_version_ | 1784681541689933824 |
---|---|
author | Peng, Xiaotong Mo, Yanqun Liu, Junliang Liu, Huining Wang, Shuo |
author_facet | Peng, Xiaotong Mo, Yanqun Liu, Junliang Liu, Huining Wang, Shuo |
author_sort | Peng, Xiaotong |
collection | PubMed |
description | Uterine fibroids (UF) are the most common benign gynecologic tumors and lead to heavy menstrual bleeding, severe anemia, abdominal pain, and infertility, which seriously harm a women’s health. Unfortunately, the regulatory mechanisms of UF have not been elucidated. Recent studies have demonstrated that miRNAs play a vital role in the development of uterine fibroids. As a high-throughput technology, microarray is utilized to identify differentially expressed genes (DEGs) and miRNAs (DEMs) between UF and myometrium. We identified 373 candidate DEGs and the top 100 DEMs. Function enrichment analysis showed that candidate DEGs were mainly enriched in biological adhesion, locomotion and cell migration, and collagen-containing extracellular matrix. Subsequently, protein-protein interaction (PPI) networks are constructed to analyze the functional interaction between DEGs and screen hub DEGs. Subsequently, the expression levels of hub DEGs were validated by real-time PCR of clinical UF samples. The DGIdb database was used to select candidate drugs for hub DEGs. Molecular docking was applied to test the affinity between proteins and drugs. Furthermore, target genes for 100 candidate DEMs were predicted by miRwalk3.0. After overlapping with 373 candidate DEGs, 28 differentially expressed target genes (DEGTs) were obtained. A miRNA-mRNA network was constructed to investigate the interactions between miRNA and mRNA. Additionally, two miRNAs (hsa-miR-381-3p and hsa-miR-181b-5p) were identified as hub DEMs and validated through RT-PCR. In order to better elucidate the pathogenesis of UF and the synergistic effect between miRNA and transcription factor (TF), we constructed a miRNA-TF-mRNA regulatory network. Meanwhile, in vitro results suggested that dysregulated hub DEMs were associated with the proliferation, migration, and apoptosis of UF cells. Our findings provided a novel horizon to reveal the internal mechanism and novel targets for the diagnosis and treatment of UF. |
format | Online Article Text |
id | pubmed-8981149 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89811492022-04-06 Identification and Validation of miRNA-TF-mRNA Regulatory Networks in Uterine Fibroids Peng, Xiaotong Mo, Yanqun Liu, Junliang Liu, Huining Wang, Shuo Front Bioeng Biotechnol Bioengineering and Biotechnology Uterine fibroids (UF) are the most common benign gynecologic tumors and lead to heavy menstrual bleeding, severe anemia, abdominal pain, and infertility, which seriously harm a women’s health. Unfortunately, the regulatory mechanisms of UF have not been elucidated. Recent studies have demonstrated that miRNAs play a vital role in the development of uterine fibroids. As a high-throughput technology, microarray is utilized to identify differentially expressed genes (DEGs) and miRNAs (DEMs) between UF and myometrium. We identified 373 candidate DEGs and the top 100 DEMs. Function enrichment analysis showed that candidate DEGs were mainly enriched in biological adhesion, locomotion and cell migration, and collagen-containing extracellular matrix. Subsequently, protein-protein interaction (PPI) networks are constructed to analyze the functional interaction between DEGs and screen hub DEGs. Subsequently, the expression levels of hub DEGs were validated by real-time PCR of clinical UF samples. The DGIdb database was used to select candidate drugs for hub DEGs. Molecular docking was applied to test the affinity between proteins and drugs. Furthermore, target genes for 100 candidate DEMs were predicted by miRwalk3.0. After overlapping with 373 candidate DEGs, 28 differentially expressed target genes (DEGTs) were obtained. A miRNA-mRNA network was constructed to investigate the interactions between miRNA and mRNA. Additionally, two miRNAs (hsa-miR-381-3p and hsa-miR-181b-5p) were identified as hub DEMs and validated through RT-PCR. In order to better elucidate the pathogenesis of UF and the synergistic effect between miRNA and transcription factor (TF), we constructed a miRNA-TF-mRNA regulatory network. Meanwhile, in vitro results suggested that dysregulated hub DEMs were associated with the proliferation, migration, and apoptosis of UF cells. Our findings provided a novel horizon to reveal the internal mechanism and novel targets for the diagnosis and treatment of UF. Frontiers Media S.A. 2022-03-22 /pmc/articles/PMC8981149/ /pubmed/35392402 http://dx.doi.org/10.3389/fbioe.2022.856745 Text en Copyright © 2022 Peng, Mo, Liu, Liu and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Peng, Xiaotong Mo, Yanqun Liu, Junliang Liu, Huining Wang, Shuo Identification and Validation of miRNA-TF-mRNA Regulatory Networks in Uterine Fibroids |
title | Identification and Validation of miRNA-TF-mRNA Regulatory Networks in Uterine Fibroids |
title_full | Identification and Validation of miRNA-TF-mRNA Regulatory Networks in Uterine Fibroids |
title_fullStr | Identification and Validation of miRNA-TF-mRNA Regulatory Networks in Uterine Fibroids |
title_full_unstemmed | Identification and Validation of miRNA-TF-mRNA Regulatory Networks in Uterine Fibroids |
title_short | Identification and Validation of miRNA-TF-mRNA Regulatory Networks in Uterine Fibroids |
title_sort | identification and validation of mirna-tf-mrna regulatory networks in uterine fibroids |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981149/ https://www.ncbi.nlm.nih.gov/pubmed/35392402 http://dx.doi.org/10.3389/fbioe.2022.856745 |
work_keys_str_mv | AT pengxiaotong identificationandvalidationofmirnatfmrnaregulatorynetworksinuterinefibroids AT moyanqun identificationandvalidationofmirnatfmrnaregulatorynetworksinuterinefibroids AT liujunliang identificationandvalidationofmirnatfmrnaregulatorynetworksinuterinefibroids AT liuhuining identificationandvalidationofmirnatfmrnaregulatorynetworksinuterinefibroids AT wangshuo identificationandvalidationofmirnatfmrnaregulatorynetworksinuterinefibroids |