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The Potential Regulatory Mechanisms of miR-196a in Huntington’s Disease through Bioinformatic Analyses

High throughput screening is a powerful tool to identify the potential candidate molecules involved during disease progression. However, analysis of complicated data is one of the most challenging steps on the way to obtaining useful results from this approach. Previously, we showed that a specific...

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Autores principales: Fu, Mu-Hui, Li, Chia-Ling, Lin, Hsiu-Lien, Tsai, Shaw-Jeng, Lai, Yen-Yu, Chang, Yu-Fan, Cheng, Pei-Hsun, Chen, Chuan-Mu, Yang, Shang-Hsun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4574104/
https://www.ncbi.nlm.nih.gov/pubmed/26376480
http://dx.doi.org/10.1371/journal.pone.0137637
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author Fu, Mu-Hui
Li, Chia-Ling
Lin, Hsiu-Lien
Tsai, Shaw-Jeng
Lai, Yen-Yu
Chang, Yu-Fan
Cheng, Pei-Hsun
Chen, Chuan-Mu
Yang, Shang-Hsun
author_facet Fu, Mu-Hui
Li, Chia-Ling
Lin, Hsiu-Lien
Tsai, Shaw-Jeng
Lai, Yen-Yu
Chang, Yu-Fan
Cheng, Pei-Hsun
Chen, Chuan-Mu
Yang, Shang-Hsun
author_sort Fu, Mu-Hui
collection PubMed
description High throughput screening is a powerful tool to identify the potential candidate molecules involved during disease progression. However, analysis of complicated data is one of the most challenging steps on the way to obtaining useful results from this approach. Previously, we showed that a specific miRNA, miR-196a, could ameliorate the pathological phenotypes of Huntington’s disease (HD) in different models, and performed high throughput screening by using the striatum of transgenic mice. In this study, we further tried to identify the potential regulatory mechanisms using different bioinformatic tools, including Database for Annotation, Visualization and Integrated Discovery (DAVID), Molecular Signatures Database (MSigDB), TargetScan and MetaCore. The results showed that miR-196a dominantly altered “ABC transporters”, “RIG-I-like receptor signaling pathway”, immune system”, “adaptive immune system”,“tissue remodeling and wound repair” and “cytoskeleton remodeling”. In addition, miR-196a also changed the expression of several well-defined pathways of HD, such as apoptosis and cell adhesion. Since these analyses showed the regulatory pathways are highly related to the modification of the cytoskeleton, we further confirmed that miR-196a could enhance the neurite outgrowth in neuroblastoma cells, suggesting miR-196a might provide beneficial functions through the alteration of cytoskeleton structures. Since impairment of the cytoskeleton has been reported in several neuronal diseases, this study will provide not only the potential working mechanisms of miR-196a but also insights for therapeutic strategies for use with different neuronal diseases.
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spelling pubmed-45741042015-09-18 The Potential Regulatory Mechanisms of miR-196a in Huntington’s Disease through Bioinformatic Analyses Fu, Mu-Hui Li, Chia-Ling Lin, Hsiu-Lien Tsai, Shaw-Jeng Lai, Yen-Yu Chang, Yu-Fan Cheng, Pei-Hsun Chen, Chuan-Mu Yang, Shang-Hsun PLoS One Research Article High throughput screening is a powerful tool to identify the potential candidate molecules involved during disease progression. However, analysis of complicated data is one of the most challenging steps on the way to obtaining useful results from this approach. Previously, we showed that a specific miRNA, miR-196a, could ameliorate the pathological phenotypes of Huntington’s disease (HD) in different models, and performed high throughput screening by using the striatum of transgenic mice. In this study, we further tried to identify the potential regulatory mechanisms using different bioinformatic tools, including Database for Annotation, Visualization and Integrated Discovery (DAVID), Molecular Signatures Database (MSigDB), TargetScan and MetaCore. The results showed that miR-196a dominantly altered “ABC transporters”, “RIG-I-like receptor signaling pathway”, immune system”, “adaptive immune system”,“tissue remodeling and wound repair” and “cytoskeleton remodeling”. In addition, miR-196a also changed the expression of several well-defined pathways of HD, such as apoptosis and cell adhesion. Since these analyses showed the regulatory pathways are highly related to the modification of the cytoskeleton, we further confirmed that miR-196a could enhance the neurite outgrowth in neuroblastoma cells, suggesting miR-196a might provide beneficial functions through the alteration of cytoskeleton structures. Since impairment of the cytoskeleton has been reported in several neuronal diseases, this study will provide not only the potential working mechanisms of miR-196a but also insights for therapeutic strategies for use with different neuronal diseases. Public Library of Science 2015-09-16 /pmc/articles/PMC4574104/ /pubmed/26376480 http://dx.doi.org/10.1371/journal.pone.0137637 Text en © 2015 Fu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Fu, Mu-Hui
Li, Chia-Ling
Lin, Hsiu-Lien
Tsai, Shaw-Jeng
Lai, Yen-Yu
Chang, Yu-Fan
Cheng, Pei-Hsun
Chen, Chuan-Mu
Yang, Shang-Hsun
The Potential Regulatory Mechanisms of miR-196a in Huntington’s Disease through Bioinformatic Analyses
title The Potential Regulatory Mechanisms of miR-196a in Huntington’s Disease through Bioinformatic Analyses
title_full The Potential Regulatory Mechanisms of miR-196a in Huntington’s Disease through Bioinformatic Analyses
title_fullStr The Potential Regulatory Mechanisms of miR-196a in Huntington’s Disease through Bioinformatic Analyses
title_full_unstemmed The Potential Regulatory Mechanisms of miR-196a in Huntington’s Disease through Bioinformatic Analyses
title_short The Potential Regulatory Mechanisms of miR-196a in Huntington’s Disease through Bioinformatic Analyses
title_sort potential regulatory mechanisms of mir-196a in huntington’s disease through bioinformatic analyses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4574104/
https://www.ncbi.nlm.nih.gov/pubmed/26376480
http://dx.doi.org/10.1371/journal.pone.0137637
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