Predicting MicroRNA Mediated Gene Regulation between Human and Viruses

MicroRNAs (miRNAs) mediate various biological processes by actively fine-tuning gene expression at the post-transcriptional level. With the identification of numerous human and viral miRNAs, growing evidence has indicated a common role of miRNAs in mediating the interactions between humans and virus...

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Main Authors: Xin Shu, Xinyuan Zang, Xiaoshuang Liu, Jie Yang, Jin Wang
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Cells
Subjects:
Online Access:http://www.mdpi.com/2073-4409/7/8/100
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author Xin Shu
Xinyuan Zang
Xiaoshuang Liu
Jie Yang
Jin Wang
author_facet Xin Shu
Xinyuan Zang
Xiaoshuang Liu
Jie Yang
Jin Wang
author_sort Xin Shu
collection DOAJ
description MicroRNAs (miRNAs) mediate various biological processes by actively fine-tuning gene expression at the post-transcriptional level. With the identification of numerous human and viral miRNAs, growing evidence has indicated a common role of miRNAs in mediating the interactions between humans and viruses. However, there is only limited information about Cross-Kingdom miRNA target sites from studies. To facilitate an extensive investigation on the interplay among the gene regulatory networks of humans and viruses, we designed a prediction pipeline, mirTarP, that is suitable for miRNA target screening on the genome scale. By applying mirTarP, we constructed the database mirTar, which is a comprehensive miRNA target repository of bidirectional interspecies regulation between viruses and humans. To provide convenient downloading for users from both the molecular biology field and medical field, mirTar classifies viruses according to “ICTV viral category” and the “medical microbiology classification” on the web page. The mirTar database and mirTarP tool are freely available online.
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spelling doaj.art-060e44b87ebc49a6be586743341294942023-09-02T08:36:36ZengMDPI AGCells2073-44092018-08-017810010.3390/cells7080100cells7080100Predicting MicroRNA Mediated Gene Regulation between Human and VirusesXin Shu0Xinyuan Zang1Xiaoshuang Liu2Jie Yang3Jin Wang4The State Key Laboratory of Pharmaceutical Biotechnology and Jiangsu Engineering Research Center for MicroRNA Biology and Biotechnology, NJU Advanced Institute for Life Sciences (NAILS), School of Life Science, Nanjing University, Nanjing 210023, ChinaThe State Key Laboratory of Pharmaceutical Biotechnology and Jiangsu Engineering Research Center for MicroRNA Biology and Biotechnology, NJU Advanced Institute for Life Sciences (NAILS), School of Life Science, Nanjing University, Nanjing 210023, ChinaThe State Key Laboratory of Pharmaceutical Biotechnology and Jiangsu Engineering Research Center for MicroRNA Biology and Biotechnology, NJU Advanced Institute for Life Sciences (NAILS), School of Life Science, Nanjing University, Nanjing 210023, ChinaThe State Key Laboratory of Pharmaceutical Biotechnology and Jiangsu Engineering Research Center for MicroRNA Biology and Biotechnology, NJU Advanced Institute for Life Sciences (NAILS), School of Life Science, Nanjing University, Nanjing 210023, ChinaThe State Key Laboratory of Pharmaceutical Biotechnology and Jiangsu Engineering Research Center for MicroRNA Biology and Biotechnology, NJU Advanced Institute for Life Sciences (NAILS), School of Life Science, Nanjing University, Nanjing 210023, ChinaMicroRNAs (miRNAs) mediate various biological processes by actively fine-tuning gene expression at the post-transcriptional level. With the identification of numerous human and viral miRNAs, growing evidence has indicated a common role of miRNAs in mediating the interactions between humans and viruses. However, there is only limited information about Cross-Kingdom miRNA target sites from studies. To facilitate an extensive investigation on the interplay among the gene regulatory networks of humans and viruses, we designed a prediction pipeline, mirTarP, that is suitable for miRNA target screening on the genome scale. By applying mirTarP, we constructed the database mirTar, which is a comprehensive miRNA target repository of bidirectional interspecies regulation between viruses and humans. To provide convenient downloading for users from both the molecular biology field and medical field, mirTar classifies viruses according to “ICTV viral category” and the “medical microbiology classification” on the web page. The mirTar database and mirTarP tool are freely available online.http://www.mdpi.com/2073-4409/7/8/100miRNAvirushostCross-Kingdomtarget prediction
spellingShingle Xin Shu
Xinyuan Zang
Xiaoshuang Liu
Jie Yang
Jin Wang
Predicting MicroRNA Mediated Gene Regulation between Human and Viruses
Cells
miRNA
virus
host
Cross-Kingdom
target prediction
title Predicting MicroRNA Mediated Gene Regulation between Human and Viruses
title_full Predicting MicroRNA Mediated Gene Regulation between Human and Viruses
title_fullStr Predicting MicroRNA Mediated Gene Regulation between Human and Viruses
title_full_unstemmed Predicting MicroRNA Mediated Gene Regulation between Human and Viruses
title_short Predicting MicroRNA Mediated Gene Regulation between Human and Viruses
title_sort predicting microrna mediated gene regulation between human and viruses
topic miRNA
virus
host
Cross-Kingdom
target prediction
url http://www.mdpi.com/2073-4409/7/8/100
work_keys_str_mv AT xinshu predictingmicrornamediatedgeneregulationbetweenhumanandviruses
AT xinyuanzang predictingmicrornamediatedgeneregulationbetweenhumanandviruses
AT xiaoshuangliu predictingmicrornamediatedgeneregulationbetweenhumanandviruses
AT jieyang predictingmicrornamediatedgeneregulationbetweenhumanandviruses
AT jinwang predictingmicrornamediatedgeneregulationbetweenhumanandviruses