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    Understanding the core of RNA interference: The dynamic aspects of Argonaute-mediated processes

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    Type
    Article
    Authors
    Zhu, Lizhe cc
    Jiang, Hanlun
    Sheong, Fu Kit
    Cui, Xuefeng
    Wang, Yanli
    Gao, Xin cc
    Huang, Xuhui cc
    KAUST Department
    Computational Bioscience Research Center (CBRC)
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    KAUST Grant Number
    URF/1/1976-04
    Date
    2016-10-05
    Online Publication Date
    2016-10-05
    Print Publication Date
    2017-09
    Permanent link to this record
    http://hdl.handle.net/10754/622347
    
    Metadata
    Show full item record
    Abstract
    At the core of RNA interference, the Argonaute proteins (Ago) load and utilize small guide nucleic acids to silence mRNAs or cleave foreign nucleic acids in a sequence specific manner. In recent years, based on extensive structural studies of Ago and its interaction with the nucleic acids, considerable progress has been made to reveal the dynamic aspects of various Ago-mediated processes. Here we review these novel insights into the guide-strand loading, duplex unwinding, and effects of seed mismatch, with a focus on two representative Agos, the human Ago 2 (hAgo2) and the bacterial Thermus thermophilus Ago (TtAgo). In particular, comprehensive molecular simulation studies revealed that although sharing similar overall structures, the two Agos have vastly different conformational landscapes and guide-strand loading mechanisms because of the distinct rigidity of their L1-PAZ hinge. Given the central role of the PAZ motions in regulating the exposure of the nucleic acid binding channel, these findings exemplify the importance of protein motions in distinguishing the overlapping, yet distinct, mechanisms of Ago-mediated processes in different organisms.
    Citation
    Zhu L, Jiang H, Sheong FK, Cui X, Wang Y, et al. (2016) Understanding the core of RNA interference: The dynamic aspects of Argonaute-mediated processes. Progress in Biophysics and Molecular Biology. Available: http://dx.doi.org/10.1016/j.pbiomolbio.2016.09.008.
    Sponsors
    This work was supported by the Hong Kong Research Grant Council [grant numbers HKUST C6009-15G, 16302214, 609813, AoE/M-09/12, M-HKUST601/13, and T13-607/12R to X.H.]; the National Science Foundation of China [grant number 21273188 to X.H.] and the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. URF/1/1976-04 to X.G.. This research made use of the resources of the Supercomputing Laboratory and computer clusters at King Abdullah University of Science & Technology (KAUST).
    Publisher
    Elsevier BV
    Journal
    Progress in Biophysics and Molecular Biology
    DOI
    10.1016/j.pbiomolbio.2016.09.008
    Additional Links
    http://www.sciencedirect.com/science/article/pii/S0079610716300207
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.pbiomolbio.2016.09.008
    Scopus Count
    Collections
    Articles; Computer Science Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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