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Regulatory Network Analysis in Estradiol-Treated Human Endothelial Cells.
Pérez-Cremades, Daniel; Paes, Ana B; Vidal-Gómez, Xavier; Mompeón, Ana; Hermenegildo, Carlos; Novella, Susana.
Afiliação
  • Pérez-Cremades D; Department of Physiology, Faculty of Medicine and Dentistry, INCLIVA Biomedical Research Institute, University of Valencia, 46010 Valencia, Spain.
  • Paes AB; Department of Physiology, Faculty of Medicine and Dentistry, INCLIVA Biomedical Research Institute, University of Valencia, 46010 Valencia, Spain.
  • Vidal-Gómez X; Department of Physiology, Faculty of Medicine and Dentistry, INCLIVA Biomedical Research Institute, University of Valencia, 46010 Valencia, Spain.
  • Mompeón A; Department of Physiology, Faculty of Medicine and Dentistry, INCLIVA Biomedical Research Institute, University of Valencia, 46010 Valencia, Spain.
  • Hermenegildo C; Department of Physiology, Faculty of Medicine and Dentistry, INCLIVA Biomedical Research Institute, University of Valencia, 46010 Valencia, Spain.
  • Novella S; Department of Physiology, Faculty of Medicine and Dentistry, INCLIVA Biomedical Research Institute, University of Valencia, 46010 Valencia, Spain.
Int J Mol Sci ; 22(15)2021 Jul 30.
Article em En | MEDLINE | ID: mdl-34360960
BACKGROUND/AIMS: Estrogen has been reported to have beneficial effects on vascular biology through direct actions on endothelium. Together with transcription factors, miRNAs are the major drivers of gene expression and signaling networks. The objective of this study was to identify a comprehensive regulatory network (miRNA-transcription factor-downstream genes) that controls the transcriptomic changes observed in endothelial cells exposed to estradiol. METHODS: miRNA/mRNA interactions were assembled using our previous microarray data of human umbilical vein endothelial cells (HUVEC) treated with 17ß-estradiol (E2) (1 nmol/L, 24 h). miRNA-mRNA pairings and their associated canonical pathways were determined using Ingenuity Pathway Analysis software. Transcription factors were identified among the miRNA-regulated genes. Transcription factor downstream target genes were predicted by consensus transcription factor binding sites in the promoter region of E2-regulated genes by using JASPAR and TRANSFAC tools in Enrichr software. RESULTS: miRNA-target pairings were filtered by using differentially expressed miRNAs and mRNAs characterized by a regulatory relationship according to miRNA target prediction databases. The analysis identified 588 miRNA-target interactions between 102 miRNAs and 588 targets. Specifically, 63 upregulated miRNAs interacted with 295 downregulated targets, while 39 downregulated miRNAs were paired with 293 upregulated mRNA targets. Functional characterization of miRNA/mRNA association analysis highlighted hypoxia signaling, integrin, ephrin receptor signaling and regulation of actin-based motility by Rho among the canonical pathways regulated by E2 in HUVEC. Transcription factors and downstream genes analysis revealed eight networks, including those mediated by JUN and REPIN1, which are associated with cadherin binding and cell adhesion molecule binding pathways. CONCLUSION: This study identifies regulatory networks obtained by integrative microarray analysis and provides additional insights into the way estradiol could regulate endothelial function in human endothelial cells.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estradiol / Estrogênios / Redes Reguladoras de Genes / Células Endoteliais da Veia Umbilical Humana / Transcriptoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Int J Mol Sci Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estradiol / Estrogênios / Redes Reguladoras de Genes / Células Endoteliais da Veia Umbilical Humana / Transcriptoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Int J Mol Sci Ano de publicação: 2021 Tipo de documento: Article