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Prediction of target genes for miR‐140‐5p in pulmonary arterial hypertension using bioinformatics methods
The expression of microRNA (miR)‐140‐5p is known to be reduced in both pulmonary arterial hypertension (PAH) patients and monocrotaline‐induced PAH models in rat. Identification of target genes for miR‐140‐5p with bioinformatics analysis may reveal new pathways and connections in PAH. This study aim...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5715273/ https://www.ncbi.nlm.nih.gov/pubmed/29226075 http://dx.doi.org/10.1002/2211-5463.12322 |
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author | Li, Fangwei Shi, Wenhua Wan, Yixin Wang, Qingting Feng, Wei Yan, Xin Wang, Jian Chai, Limin Zhang, Qianqian Li, Manxiang |
author_facet | Li, Fangwei Shi, Wenhua Wan, Yixin Wang, Qingting Feng, Wei Yan, Xin Wang, Jian Chai, Limin Zhang, Qianqian Li, Manxiang |
author_sort | Li, Fangwei |
collection | PubMed |
description | The expression of microRNA (miR)‐140‐5p is known to be reduced in both pulmonary arterial hypertension (PAH) patients and monocrotaline‐induced PAH models in rat. Identification of target genes for miR‐140‐5p with bioinformatics analysis may reveal new pathways and connections in PAH. This study aimed to explore downstream target genes and relevant signaling pathways regulated by miR‐140‐5p to provide theoretical evidences for further researches on role of miR‐140‐5p in PAH. Multiple downstream target genes and upstream transcription factors (TFs) of miR‐140‐5p were predicted in the analysis. Gene ontology (GO) enrichment analysis indicated that downstream target genes of miR‐140‐5p were enriched in many biological processes, such as biological regulation, signal transduction, response to chemical stimulus, stem cell proliferation, cell surface receptor signaling pathways. Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analysis found that downstream target genes were mainly located in Notch, TGF‐beta, PI3K/Akt, and Hippo signaling pathway. According to TF–miRNA–mRNA network, the important downstream target genes of miR‐140‐5p were PPI, TGF‐betaR1, smad4, JAG1, ADAM10, FGF9, PDGFRA, VEGFA, LAMC1, TLR4, and CREB. After thoroughly reviewing published literature, we found that 23 target genes and seven signaling pathways were truly inhibited by miR‐140‐5p in various tissues or cells; most of these verified targets were in accordance with our present prediction. Other predicted targets still need further verification in vivo and in vitro. |
format | Online Article Text |
id | pubmed-5715273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57152732017-12-08 Prediction of target genes for miR‐140‐5p in pulmonary arterial hypertension using bioinformatics methods Li, Fangwei Shi, Wenhua Wan, Yixin Wang, Qingting Feng, Wei Yan, Xin Wang, Jian Chai, Limin Zhang, Qianqian Li, Manxiang FEBS Open Bio Research Articles The expression of microRNA (miR)‐140‐5p is known to be reduced in both pulmonary arterial hypertension (PAH) patients and monocrotaline‐induced PAH models in rat. Identification of target genes for miR‐140‐5p with bioinformatics analysis may reveal new pathways and connections in PAH. This study aimed to explore downstream target genes and relevant signaling pathways regulated by miR‐140‐5p to provide theoretical evidences for further researches on role of miR‐140‐5p in PAH. Multiple downstream target genes and upstream transcription factors (TFs) of miR‐140‐5p were predicted in the analysis. Gene ontology (GO) enrichment analysis indicated that downstream target genes of miR‐140‐5p were enriched in many biological processes, such as biological regulation, signal transduction, response to chemical stimulus, stem cell proliferation, cell surface receptor signaling pathways. Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analysis found that downstream target genes were mainly located in Notch, TGF‐beta, PI3K/Akt, and Hippo signaling pathway. According to TF–miRNA–mRNA network, the important downstream target genes of miR‐140‐5p were PPI, TGF‐betaR1, smad4, JAG1, ADAM10, FGF9, PDGFRA, VEGFA, LAMC1, TLR4, and CREB. After thoroughly reviewing published literature, we found that 23 target genes and seven signaling pathways were truly inhibited by miR‐140‐5p in various tissues or cells; most of these verified targets were in accordance with our present prediction. Other predicted targets still need further verification in vivo and in vitro. John Wiley and Sons Inc. 2017-10-21 /pmc/articles/PMC5715273/ /pubmed/29226075 http://dx.doi.org/10.1002/2211-5463.12322 Text en © 2017 The Authors. Published by FEBS Press and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Li, Fangwei Shi, Wenhua Wan, Yixin Wang, Qingting Feng, Wei Yan, Xin Wang, Jian Chai, Limin Zhang, Qianqian Li, Manxiang Prediction of target genes for miR‐140‐5p in pulmonary arterial hypertension using bioinformatics methods |
title | Prediction of target genes for miR‐140‐5p in pulmonary arterial hypertension using bioinformatics methods |
title_full | Prediction of target genes for miR‐140‐5p in pulmonary arterial hypertension using bioinformatics methods |
title_fullStr | Prediction of target genes for miR‐140‐5p in pulmonary arterial hypertension using bioinformatics methods |
title_full_unstemmed | Prediction of target genes for miR‐140‐5p in pulmonary arterial hypertension using bioinformatics methods |
title_short | Prediction of target genes for miR‐140‐5p in pulmonary arterial hypertension using bioinformatics methods |
title_sort | prediction of target genes for mir‐140‐5p in pulmonary arterial hypertension using bioinformatics methods |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5715273/ https://www.ncbi.nlm.nih.gov/pubmed/29226075 http://dx.doi.org/10.1002/2211-5463.12322 |
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