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Genome-scale deconvolution of RNA structure ensembles.

Edoardo MorandiIlaria ManfredoniaLisa M SimonFrancesca AnselmiMartijn J van HemertSalvatore OlivieroDanny Incarnato
Published in: Nature methods (2021)
RNA structure heterogeneity is a major challenge when querying RNA structures with chemical probing. We introduce DRACO, an algorithm for the deconvolution of coexisting RNA conformations from mutational profiling experiments. Analysis of the SARS-CoV-2 genome using dimethyl sulfate mutational profiling with sequencing (DMS-MaPseq) and DRACO, identifies multiple regions that fold into two mutually exclusive conformations, including a conserved structural switch in the 3' untranslated region. This work may open the way to dissecting the heterogeneity of the RNA structurome.
Keyphrases
  • single cell
  • sars cov
  • genome wide
  • nucleic acid
  • machine learning
  • dna methylation
  • transcription factor
  • deep learning
  • minimally invasive
  • coronavirus disease