Literature DB >> 24794934

Mirin: identifying microRNA regulatory modules in protein-protein interaction networks.

Ken-Chi Yang1, Chia-Lang Hsu1, Chen-Ching Lin2, Hsueh-Fen Juan3, Hsuan-Cheng Huang1.   

Abstract

UNLABELLED: Exploring microRNA (miRNA) regulations and protein-protein interactions could reveal the molecular mechanisms responsible for complex biological processes. Mirin is a web-based application suitable for identifying functional modules from protein-protein interaction networks regulated by aberrant miRNAs under user-defined biological conditions such as cancers. The analysis involves combining miRNA regulations, protein-protein interactions between target genes, as well as mRNA and miRNA expression profiles provided by users. Mirin has successfully uncovered oncomirs and their regulatory networks in various cancers, such as gastric and breast cancer.
AVAILABILITY AND IMPLEMENTATION: Mirin is freely available at http://mirin.ym.edu.tw/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2014        PMID: 24794934     DOI: 10.1093/bioinformatics/btu306

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  3 in total

Review 1.  A network-biology perspective of microRNA function and dysfunction in cancer.

Authors:  Cameron P Bracken; Hamish S Scott; Gregory J Goodall
Journal:  Nat Rev Genet       Date:  2016-10-31       Impact factor: 53.242

2.  Identification of lncRNA functions in lung cancer based on associated protein-protein interaction modules.

Authors:  Chih-Hsun Wu; Chia-Lang Hsu; Pei-Chun Lu; Wen-Chang Lin; Hsueh-Fen Juan; Hsuan-Cheng Huang
Journal:  Sci Rep       Date:  2016-10-27       Impact factor: 4.379

3.  Investigating the role of super-enhancer RNAs underlying embryonic stem cell differentiation.

Authors:  Hao-Chun Chang; Hsuan-Cheng Huang; Hsueh-Fen Juan; Chia-Lang Hsu
Journal:  BMC Genomics       Date:  2019-12-30       Impact factor: 3.969

  3 in total

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