RNA structure probing reveals the structural basis of Dicer binding and cleavage
Qing-Jun Luo,
Jinsong Zhang,
Pan Li,
Qing Wang,
Yue Zhang,
Biswajoy Roy-Chaudhuri,
Jianpeng Xu,
Mark A. Kay () and
Qiangfeng Cliff Zhang ()
Additional contact information
Qing-Jun Luo: Stanford University
Jinsong Zhang: Ministry of Education Key Laboratory of Bioinformatics, Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University
Pan Li: Ministry of Education Key Laboratory of Bioinformatics, Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University
Qing Wang: Stanford University
Yue Zhang: Stanford University
Biswajoy Roy-Chaudhuri: Stanford University
Jianpeng Xu: Stanford University
Mark A. Kay: Stanford University
Qiangfeng Cliff Zhang: Ministry of Education Key Laboratory of Bioinformatics, Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University
Nature Communications, 2021, vol. 12, issue 1, 1-12
Abstract:
Abstract It is known that an RNA’s structure determines its biological function, yet current RNA structure probing methods only capture partial structure information. The ability to measure intact (i.e., full length) RNA structures will facilitate investigations of the functions and regulation mechanisms of small RNAs and identify short fragments of functional sites. Here, we present icSHAPE-MaP, an approach combining in vivo selective 2′-hydroxyl acylation and mutational profiling to probe intact RNA structures. We further showcase the RNA structural landscape of substrates bound by human Dicer based on the combination of RNA immunoprecipitation pull-down and icSHAPE-MaP small RNA structural profiling. We discover distinct structural categories of Dicer substrates in correlation to both their binding affinity and cleavage efficiency. And by tertiary structural modeling constrained by icSHAPE-MaP RNA structural data, we find the spatial distance measuring as an influential parameter for Dicer cleavage-site selection.
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23607-w
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DOI: 10.1038/s41467-021-23607-w
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