RNA structure inference through chemical mapping after accidental or intentional mutations

RNA structure inference through chemical mapping after accidental or intentional mutations.

Despite the critical roles RNA structures play in regulating gene expression, sequencing-based methods for experimentally determining RNA base pairs have remained inaccurate. Here, we describe a multidimensional chemical-mapping method called "mutate-and-map read out through next-generation sequencing" (M2-seq) that takes advantage of sparsely mutated nucleotides to induce structural perturbati...

RNA structure inference through chemical mapping after accidental 1 or intentional mutations 2 3 4

RNA structure through multidimensional chemical mapping.

The discoveries of myriad non-coding RNA molecules, each transiting through multiple flexible states in cells or virions, present major challenges for structure determination. Advances in high-throughput chemical mapping give new routes for characterizing entire transcriptomes in vivo, but the resulting one-dimensional data generally remain too information-poor to allow accurate de novo structu...

Quantitative DMS mapping for automated RNA secondary structure inference

For decades, dimethyl sulfate (DMS) mapping has informed manual modeling of RNA structure in vitro and in vivo. Here, we incorporate DMS data into automated secondary structure inference using a pseudo-energy framework developed for 2 ́-OH acylation (SHAPE) mapping. On six non-coding RNAs with crystallographic models, DMSguided modeling achieves overall false negative and false discovery rates o...

Quantitative dimethyl sulfate mapping for automated RNA secondary structure inference.

For decades, dimethyl sulfate (DMS) mapping has informed manual modeling of RNA structure in vitro and in vivo. Here, we incorporate DMS data into automated secondary structure inference using an energy minimization framework developed for 2'-OH acylation (SHAPE) mapping. On six noncoding RNAs with crystallographic models, DMS-guided modeling achieves overall false negative and false discovery ...