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Regulatory Network Analysis in Estradiol-Treated Human Endothelial Cells

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 r...

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Autores principales: Pérez-Cremades, Daniel, Paes, Ana B., Vidal-Gómez, Xavier, Mompeón, Ana, Hermenegildo, Carlos, Novella, Susana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348965/
https://www.ncbi.nlm.nih.gov/pubmed/34360960
http://dx.doi.org/10.3390/ijms22158193
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author Pérez-Cremades, Daniel
Paes, Ana B.
Vidal-Gómez, Xavier
Mompeón, Ana
Hermenegildo, Carlos
Novella, Susana
author_facet Pérez-Cremades, Daniel
Paes, Ana B.
Vidal-Gómez, Xavier
Mompeón, Ana
Hermenegildo, Carlos
Novella, Susana
author_sort Pérez-Cremades, Daniel
collection PubMed
description 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 17β-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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spelling pubmed-83489652021-08-08 Regulatory Network Analysis in Estradiol-Treated Human Endothelial Cells Pérez-Cremades, Daniel Paes, Ana B. Vidal-Gómez, Xavier Mompeón, Ana Hermenegildo, Carlos Novella, Susana Int J Mol Sci Article 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 17β-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. MDPI 2021-07-30 /pmc/articles/PMC8348965/ /pubmed/34360960 http://dx.doi.org/10.3390/ijms22158193 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pérez-Cremades, Daniel
Paes, Ana B.
Vidal-Gómez, Xavier
Mompeón, Ana
Hermenegildo, Carlos
Novella, Susana
Regulatory Network Analysis in Estradiol-Treated Human Endothelial Cells
title Regulatory Network Analysis in Estradiol-Treated Human Endothelial Cells
title_full Regulatory Network Analysis in Estradiol-Treated Human Endothelial Cells
title_fullStr Regulatory Network Analysis in Estradiol-Treated Human Endothelial Cells
title_full_unstemmed Regulatory Network Analysis in Estradiol-Treated Human Endothelial Cells
title_short Regulatory Network Analysis in Estradiol-Treated Human Endothelial Cells
title_sort regulatory network analysis in estradiol-treated human endothelial cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348965/
https://www.ncbi.nlm.nih.gov/pubmed/34360960
http://dx.doi.org/10.3390/ijms22158193
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