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Identification of crucial miRNAs and the targets in renal cortex of hypertensive patients by expression profiles

Backgrounds: Defect in kidney is one major reason of hypertension. The study aimed ao uncovering the regulatory mechanisms of miRNAs and the targets in hypertensive kidney. Methods: Gene expression profile of GSE28345 and miRNA expression profile of GSE28283 were downloaded from GEO database. After...

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Autores principales: Wang, Guohua, Wu, Lan, Chen, Zhi, Sun, Jinghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6014400/
https://www.ncbi.nlm.nih.gov/pubmed/27802793
http://dx.doi.org/10.1080/0886022X.2016.1244083
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author Wang, Guohua
Wu, Lan
Chen, Zhi
Sun, Jinghui
author_facet Wang, Guohua
Wu, Lan
Chen, Zhi
Sun, Jinghui
author_sort Wang, Guohua
collection PubMed
description Backgrounds: Defect in kidney is one major reason of hypertension. The study aimed ao uncovering the regulatory mechanisms of miRNAs and the targets in hypertensive kidney. Methods: Gene expression profile of GSE28345 and miRNA expression profile of GSE28283 were downloaded from GEO database. After data preprocessing, differently expressed genes (DEGs) and miRNAs (DE-miRs) were identified using limma package. Then targets of miRNAs were predicted according to information in relevant databases. Function and pathway enrichment analyses were performed for DEGs using DAVID software. Furthermore, protein–protein interaction (PPI) networks were constructed for up- and down-regulated genes, respectively, using the Cytoscape. Additionally, for down-regulated DEGs, the integrated regulatory network was established combining PPI network with the miRNA–mRNA interactions. Results: As a result, 285 DEGs were identified, including 177 up-regulated and 108 down-regulated genes. Combined with the predicted targets of miRNAs, 22 up-regulated DE-miRs were identified. In the integrated network for down-regulated DEGs, three crucial nodes were identified as ASPN, COL12A1, and SCN2A. ASPN was predicted as target of miR-21 and miR-374b, and COL12A1 was the target of miR-30e, miR-21, and miR-195, while SCN2A was the target of miR-30e, miR-374b, and miR-195. Notably, COL12A1 and ASPN were linked with each other in the network. Conclusion: Three crucial genes were identified in hypertensive kidney, such as COL12A1, ASPN, and SCN2A. ASPN might co-function with COL12A1, and they both might be the targets of miR-21. SCN2A might be a novel target of miR-30e and miR-374b. However, more experiments are needed to validate these results.
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spelling pubmed-60144002018-06-28 Identification of crucial miRNAs and the targets in renal cortex of hypertensive patients by expression profiles Wang, Guohua Wu, Lan Chen, Zhi Sun, Jinghui Ren Fail Laboratory Study Backgrounds: Defect in kidney is one major reason of hypertension. The study aimed ao uncovering the regulatory mechanisms of miRNAs and the targets in hypertensive kidney. Methods: Gene expression profile of GSE28345 and miRNA expression profile of GSE28283 were downloaded from GEO database. After data preprocessing, differently expressed genes (DEGs) and miRNAs (DE-miRs) were identified using limma package. Then targets of miRNAs were predicted according to information in relevant databases. Function and pathway enrichment analyses were performed for DEGs using DAVID software. Furthermore, protein–protein interaction (PPI) networks were constructed for up- and down-regulated genes, respectively, using the Cytoscape. Additionally, for down-regulated DEGs, the integrated regulatory network was established combining PPI network with the miRNA–mRNA interactions. Results: As a result, 285 DEGs were identified, including 177 up-regulated and 108 down-regulated genes. Combined with the predicted targets of miRNAs, 22 up-regulated DE-miRs were identified. In the integrated network for down-regulated DEGs, three crucial nodes were identified as ASPN, COL12A1, and SCN2A. ASPN was predicted as target of miR-21 and miR-374b, and COL12A1 was the target of miR-30e, miR-21, and miR-195, while SCN2A was the target of miR-30e, miR-374b, and miR-195. Notably, COL12A1 and ASPN were linked with each other in the network. Conclusion: Three crucial genes were identified in hypertensive kidney, such as COL12A1, ASPN, and SCN2A. ASPN might co-function with COL12A1, and they both might be the targets of miR-21. SCN2A might be a novel target of miR-30e and miR-374b. However, more experiments are needed to validate these results. Taylor & Francis 2016-11-02 /pmc/articles/PMC6014400/ /pubmed/27802793 http://dx.doi.org/10.1080/0886022X.2016.1244083 Text en © 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Laboratory Study
Wang, Guohua
Wu, Lan
Chen, Zhi
Sun, Jinghui
Identification of crucial miRNAs and the targets in renal cortex of hypertensive patients by expression profiles
title Identification of crucial miRNAs and the targets in renal cortex of hypertensive patients by expression profiles
title_full Identification of crucial miRNAs and the targets in renal cortex of hypertensive patients by expression profiles
title_fullStr Identification of crucial miRNAs and the targets in renal cortex of hypertensive patients by expression profiles
title_full_unstemmed Identification of crucial miRNAs and the targets in renal cortex of hypertensive patients by expression profiles
title_short Identification of crucial miRNAs and the targets in renal cortex of hypertensive patients by expression profiles
title_sort identification of crucial mirnas and the targets in renal cortex of hypertensive patients by expression profiles
topic Laboratory Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6014400/
https://www.ncbi.nlm.nih.gov/pubmed/27802793
http://dx.doi.org/10.1080/0886022X.2016.1244083
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