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Large-Scale Investigation of Human TF-miRNA Relations Based on Coexpression Profiles

Noncoding, endogenous microRNAs (miRNAs) are fairly well known for regulating gene expression rather than protein coding. Dysregulation of miRNA gene, either upregulated or downregulated, may lead to severe diseases or oncogenesis, especially when the miRNA disorder involves significant bioreactions...

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Autores principales: Chien, Chia-Hung, Chiang-Hsieh, Yi-Fan, Tsou, Ann-Ping, Weng, Shun-Long, Chang, Wen-Chi, Huang, Hsien-Da
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4068100/
https://www.ncbi.nlm.nih.gov/pubmed/24995316
http://dx.doi.org/10.1155/2014/623078
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author Chien, Chia-Hung
Chiang-Hsieh, Yi-Fan
Tsou, Ann-Ping
Weng, Shun-Long
Chang, Wen-Chi
Huang, Hsien-Da
author_facet Chien, Chia-Hung
Chiang-Hsieh, Yi-Fan
Tsou, Ann-Ping
Weng, Shun-Long
Chang, Wen-Chi
Huang, Hsien-Da
author_sort Chien, Chia-Hung
collection PubMed
description Noncoding, endogenous microRNAs (miRNAs) are fairly well known for regulating gene expression rather than protein coding. Dysregulation of miRNA gene, either upregulated or downregulated, may lead to severe diseases or oncogenesis, especially when the miRNA disorder involves significant bioreactions or pathways. Thus, how miRNA genes are transcriptionally regulated has been highlighted as well as target recognition in recent years. In this study, a large-scale investigation of novel cis- and trans-elements was undertaken to further determine TF-miRNA regulatory relations, which are necessary to unravel the transcriptional regulation of miRNA genes. Based on miRNA and annotated gene expression profiles, the term “coTFBS” was introduced to detect common transcription factors and the corresponding binding sites within the promoter regions of each miRNA and its coexpressed annotated genes. The computational pipeline was successfully established to filter redundancy due to short sequence motifs for TFBS pattern search. Eventually, we identified more convinced TF-miRNA regulatory relations for 225 human miRNAs. This valuable information is helpful in understanding miRNA functions and provides knowledge to evaluate the therapeutic potential in clinical research. Once most expression profiles of miRNAs in the latest database are completed, TF candidates of more miRNAs can be explored by this filtering approach in the future.
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spelling pubmed-40681002014-07-03 Large-Scale Investigation of Human TF-miRNA Relations Based on Coexpression Profiles Chien, Chia-Hung Chiang-Hsieh, Yi-Fan Tsou, Ann-Ping Weng, Shun-Long Chang, Wen-Chi Huang, Hsien-Da Biomed Res Int Research Article Noncoding, endogenous microRNAs (miRNAs) are fairly well known for regulating gene expression rather than protein coding. Dysregulation of miRNA gene, either upregulated or downregulated, may lead to severe diseases or oncogenesis, especially when the miRNA disorder involves significant bioreactions or pathways. Thus, how miRNA genes are transcriptionally regulated has been highlighted as well as target recognition in recent years. In this study, a large-scale investigation of novel cis- and trans-elements was undertaken to further determine TF-miRNA regulatory relations, which are necessary to unravel the transcriptional regulation of miRNA genes. Based on miRNA and annotated gene expression profiles, the term “coTFBS” was introduced to detect common transcription factors and the corresponding binding sites within the promoter regions of each miRNA and its coexpressed annotated genes. The computational pipeline was successfully established to filter redundancy due to short sequence motifs for TFBS pattern search. Eventually, we identified more convinced TF-miRNA regulatory relations for 225 human miRNAs. This valuable information is helpful in understanding miRNA functions and provides knowledge to evaluate the therapeutic potential in clinical research. Once most expression profiles of miRNAs in the latest database are completed, TF candidates of more miRNAs can be explored by this filtering approach in the future. Hindawi Publishing Corporation 2014 2014-06-09 /pmc/articles/PMC4068100/ /pubmed/24995316 http://dx.doi.org/10.1155/2014/623078 Text en Copyright © 2014 Chia-Hung Chien et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chien, Chia-Hung
Chiang-Hsieh, Yi-Fan
Tsou, Ann-Ping
Weng, Shun-Long
Chang, Wen-Chi
Huang, Hsien-Da
Large-Scale Investigation of Human TF-miRNA Relations Based on Coexpression Profiles
title Large-Scale Investigation of Human TF-miRNA Relations Based on Coexpression Profiles
title_full Large-Scale Investigation of Human TF-miRNA Relations Based on Coexpression Profiles
title_fullStr Large-Scale Investigation of Human TF-miRNA Relations Based on Coexpression Profiles
title_full_unstemmed Large-Scale Investigation of Human TF-miRNA Relations Based on Coexpression Profiles
title_short Large-Scale Investigation of Human TF-miRNA Relations Based on Coexpression Profiles
title_sort large-scale investigation of human tf-mirna relations based on coexpression profiles
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4068100/
https://www.ncbi.nlm.nih.gov/pubmed/24995316
http://dx.doi.org/10.1155/2014/623078
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