Project description:We show that DANCE-MaP permits measurement of state-specific per-nucleotide reactivities, direct secondary structure PAIRs, and tertiary RINGs for RNA structural ensembles. Here, we demonstrate DANCE-MaP on the V. vulnificus add riboswitch.
Project description:RNA secondary structure is crucial for RNA mentalism, including transcription, splicing, translation, RNA-binding protein interaction as well as turnover. The kink-turn (K-turn) structure motif is is an RNA three-dimensional (3D) structure that exists in all three primary phylogenetic domains and plays vital roles in RNA metabolism. In order to investigate the K-turn secondary structure in vivo, we combined SHAPE-Map and our RIP-PEN-seq to profile the RNA structure of 15.5K-interacted RNAs.
Project description:The functional effects of an RNA can arise from complex three-dimensional folds known as tertiary structures. However, predicting the tertiary structure of an RNA and whether an RNA adopts distinct tertiary conformations remains challenging. To address this, we developed BASH MaP, a single-molecule dimethyl sulfate (DMS) footprinting method and DAGGER, a computational pipeline, to identify alternative tertiary structures adopted by different molecules of RNA. BASH MaP utilizes potassium borohydride to reveal the chemical accessibility of the N7 position of guanosine, a key mediator of tertiary structures. We used BASH MaP to identify diverse conformational states and dynamics of RNA G-quadruplexes, an important RNA tertiary motif, in vitro and in cells. BASH MaP and DAGGER analysis of the fluorogenic aptamer Spinach reveals that it adopts alternative tertiary conformations which determine its fluorescence states. BASH MaP thus provides an approach for structural analysis of RNA by revealing previously undetectable tertiary structures.
Project description:Interventions: Gold Standard:Colonoscopy and tissue case biopsy;Index test:EVs nucleic acid combination (miRNA, lncRNA, circRNA) detection system.
Primary outcome(s): RNA;SEN, SPE, ACC, AUC of ROC
Study Design: Factorial