• Login
    View Item 
    •   Treasures Home
    • Academic Schools and Programs
    • School of Natural Sciences and Mathematics
    • NSM Faculty Research
    • Zhang, Michael Q.
    • View Item
    •   Treasures Home
    • Academic Schools and Programs
    • School of Natural Sciences and Mathematics
    • NSM Faculty Research
    • Zhang, Michael Q.
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Miror: A Method for Cell-Type Specific MicroRNA Occupancy Rate Prediction

    Thumbnail
    View/Open
    Article (1.487Mb)
    Dataset (23.5Kb)
    Dataset (17Kb)
    Dataset (20Kb)
    Dataset (54Kb)
    Dataset (2.913Mb)
    Dataset (23Kb)
    Date
    2014-03-13
    Author
    Xie, Peng
    Liu, Yu
    Li, Yanda
    Zhang, Michael Q.
    Wang, Xiaowo
    Metadata
    Show full item record
    Abstract
    Abstract
    MicroRNA (miRNA) regulation is highly cell-type specific. It is sensitive to both the miRNA-mRNA relative abundance and the competitive endogenous RNA (ceRNA) effect. However, almost all existing miRNA target prediction methods neglected the influence of the cellular environment when analyzing miRNA regulation effects. In this study, we proposed a method, MIROR (miRNA Occupancy Rate predictor), to predict miRNA regulation intensity in a given cell type. The major considerations were the miRNA-mRNA relative abundance and the endogenous competition between different mRNA species. The output of MIROR is the predicted miRNA occupancy rates of each target site. The predicted results significantly correlated with Ago HITS-CLIP experiment that indicated miRNA binding intensities. When applied to the analysis of the breast invasive carcinoma dataset, MIROR identified a number of differentially regulated miRNA-mRNA pairs with significant miRNA occupancy rate changes between tumor and normal tissues. Many of the predictions were supported by previous research studies, including the ones without a significant change in the mRNA expression level. These results indicate that MIROR provides a novel strategy to study the miRNA differential regulation in different cell types.
    Description
    Includes supplementary material.
    URI
    http://hdl.handle.net/10735.1/4104
    Collections
    • CSB Research
    • Zhang, Michael Q.

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of TreasuresCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV