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Linking RNA Sequence, Structure, and Function on Massively Parallel High-Throughput Sequencers
Author(s) -
Sarah K. Denny,
William J. Greenleaf
Publication year - 2018
Publication title -
cold spring harbor perspectives in biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.011
H-Index - 173
ISSN - 1943-0264
DOI - 10.1101/cshperspect.a032300
Subject(s) - rna , biology , computational biology , riboswitch , nucleic acid structure , nucleic acid secondary structure , sequence (biology) , non coding rna , folding (dsp implementation) , function (biology) , massively parallel , genetics , gene , computer science , electrical engineering , engineering , parallel computing
High-throughput sequencing methods have revolutionized our ability to catalog the diversity of RNAs and RNA-protein interactions that can exist in our cells. However, the relationship between RNA sequence, structure, and function is enormously complex, demonstrating the need for methods that can provide quantitative thermodynamic and kinetic measurements of macromolecular interaction with RNA, at a scale commensurate with the sequence diversity of RNA. Here, we discuss a class of methods that extend the core functionality of DNA sequencers to enable high-throughput measurements of RNA folding and RNA-protein interactions. Topics discussed include a description of the method and multiple applications to RNA-binding proteins, riboswitch design and engineering, and RNA tertiary structure energetics.

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