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Published on: December 9, 2022
DeCoRE: A computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA
Yong Huang1,2, Jinsong Zhang1, Lei Sun3,4
1State Key Laboratory of Membrane Biology, MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Tsinghua-Peking Center for Life Sciences, Center for Life Sciences and Artificial intelligence, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Abstract:
RNA molecules are inherently dynamic, forming complex structural ensembles of alternative conformations that direct their cellular functions. Current methods for resolving RNA structural heterogeneity and dynamics have been developed for short-read sequencing-based structure probing, limiting their sensitivity and resolution. Here, we introduce DeCoRE (deconvolving complex RNA structural ensembles), a computational method that leverages direct RNA sequencing to resolve RNA structural heterogeneity and dynamics at the individual transcript level. DeCoRE combines enhanced structural signal detection with direct clustering of sequencing reads to sensitively deconvolve RNA structural ensembles at single-nucleotide resolution. We demonstrate DeCoRE's capabilities by resolving the known alternative conformations of the lysine and TPP riboswitches and uncover a previously uncharacterized cotranscriptional folding pathway of bacterial ribosomal RNA, where two conformations coexist during early elongation and progressively converge into a single mature conformation. DeCoRE represents a powerful tool for dissecting RNA structural heterogeneity and dynamics, advancing our understanding of RNA function.
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