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Effect of Dynamic Interaction between microRNA and Transcription Factor on Gene Expression

MicroRNAs (miRNAs) are endogenous noncoding RNAs which participate in diverse biological processes in animals and plants. They are known to join together with transcription factors and downstream gene, forming a complex and highly interconnected regulatory network. To recognize a few overrepresented...

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Autores principales: Zhao, Qi, Liu, Hongsheng, Yao, Chenggui, Shuai, Jianwei, Sun, Xiaoqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5121577/
https://www.ncbi.nlm.nih.gov/pubmed/27957492
http://dx.doi.org/10.1155/2016/2676282
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author Zhao, Qi
Liu, Hongsheng
Yao, Chenggui
Shuai, Jianwei
Sun, Xiaoqiang
author_facet Zhao, Qi
Liu, Hongsheng
Yao, Chenggui
Shuai, Jianwei
Sun, Xiaoqiang
author_sort Zhao, Qi
collection PubMed
description MicroRNAs (miRNAs) are endogenous noncoding RNAs which participate in diverse biological processes in animals and plants. They are known to join together with transcription factors and downstream gene, forming a complex and highly interconnected regulatory network. To recognize a few overrepresented motifs which are expected to perform important elementary regulatory functions, we constructed a computational model of miRNA-mediated feedforward loops (FFLs) in which a transcription factor (TF) regulates miRNA and targets gene. Based on the different dynamic interactions between miRNA and TF on gene expression, four possible structural topologies of FFLs with two gate functions (AND gate and OR gate) are introduced. We studied the dynamic behaviors of these different motifs. Furthermore, the relationship between the response time and maximal activation velocity of miRNA was investigated. We found that the curve of response time shows nonmonotonic behavior in Co1 loop with OR gate. This may help us to infer the mechanism of miRNA binding to the promoter region. At last we investigated the influence of important parameters on the dynamic response of system. We identified that the stationary levels of target gene in all loops were insensitive to the initial value of miRNA.
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spelling pubmed-51215772016-12-12 Effect of Dynamic Interaction between microRNA and Transcription Factor on Gene Expression Zhao, Qi Liu, Hongsheng Yao, Chenggui Shuai, Jianwei Sun, Xiaoqiang Biomed Res Int Research Article MicroRNAs (miRNAs) are endogenous noncoding RNAs which participate in diverse biological processes in animals and plants. They are known to join together with transcription factors and downstream gene, forming a complex and highly interconnected regulatory network. To recognize a few overrepresented motifs which are expected to perform important elementary regulatory functions, we constructed a computational model of miRNA-mediated feedforward loops (FFLs) in which a transcription factor (TF) regulates miRNA and targets gene. Based on the different dynamic interactions between miRNA and TF on gene expression, four possible structural topologies of FFLs with two gate functions (AND gate and OR gate) are introduced. We studied the dynamic behaviors of these different motifs. Furthermore, the relationship between the response time and maximal activation velocity of miRNA was investigated. We found that the curve of response time shows nonmonotonic behavior in Co1 loop with OR gate. This may help us to infer the mechanism of miRNA binding to the promoter region. At last we investigated the influence of important parameters on the dynamic response of system. We identified that the stationary levels of target gene in all loops were insensitive to the initial value of miRNA. Hindawi Publishing Corporation 2016 2016-11-10 /pmc/articles/PMC5121577/ /pubmed/27957492 http://dx.doi.org/10.1155/2016/2676282 Text en Copyright © 2016 Qi Zhao et al. https://creativecommons.org/licenses/by/4.0/ 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
Zhao, Qi
Liu, Hongsheng
Yao, Chenggui
Shuai, Jianwei
Sun, Xiaoqiang
Effect of Dynamic Interaction between microRNA and Transcription Factor on Gene Expression
title Effect of Dynamic Interaction between microRNA and Transcription Factor on Gene Expression
title_full Effect of Dynamic Interaction between microRNA and Transcription Factor on Gene Expression
title_fullStr Effect of Dynamic Interaction between microRNA and Transcription Factor on Gene Expression
title_full_unstemmed Effect of Dynamic Interaction between microRNA and Transcription Factor on Gene Expression
title_short Effect of Dynamic Interaction between microRNA and Transcription Factor on Gene Expression
title_sort effect of dynamic interaction between microrna and transcription factor on gene expression
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5121577/
https://www.ncbi.nlm.nih.gov/pubmed/27957492
http://dx.doi.org/10.1155/2016/2676282
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