1. Genome-wide dynamics of RNA synthesis, processing, and degradation without RNA metabolic labeling
- Author
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Mattia Pelizzola, Nunzio Del Gaudio, Erik Dassi, Eugenia Galeota, Michele Caselle, Mattia Furlan, and Stefano de Pretis
- Subjects
MICRORNAS ,Total rna ,Thiouridine ,Gene Expression ,Method ,RNA polymerase II ,MYC ,Computational biology ,POLYMERASE-II ,Genome ,Bioconductor ,03 medical and health sciences ,0302 clinical medicine ,Transcription (biology) ,microRNA ,Transcriptional regulation ,Genetics ,Humans ,Disease ,TRANSCRIPTION ,RNA-Seq ,RNA Processing, Post-Transcriptional ,POLYMERASE-II, TRANSCRIPTION, MICRORNAS, MYC ,Genetics (clinical) ,030304 developmental biology ,0303 health sciences ,biology ,Computational Biology ,RNA ,Kinetics ,Metabolic labeling ,Time course ,biology.protein ,030217 neurology & neurosurgery - Abstract
The kinetic rates of RNA synthesis, processing and degradation determine the dynamics of transcriptional regulation by governing both the abundance and the responsiveness to modulations of premature and mature RNA species. The study of RNA dynamics is largely based on the integrative analysis of total and nascent transcription, with the latter being quantified through RNA metabolic labeling. We describe here INSPEcT-, a computational method based on mathematical modeling of intronic and exonic expression, able to derive the dynamics of transcription from steady state or time course profiling of just total RNA, without requiring any information on nascent transcripts. Our approach closely recapitulates the kinetic rates obtained through RNA metabolic labeling, improves the ability to detect changes in transcripts half-lives, reduces the cost and complexity of the experiments, and can be adopted to study experimental conditions where nascent transcription cannot be readily profiled. Finally, we applied INSPEcT- to the characterization of post-transcriptional regulation landscapes in dozens of physiological and disease conditions. This approach was included in the INSPEcT Bioconductor package, which can now unveil RNA dynamics from steady state or time course data, with or without the profiling of nascent RNA.
- Published
- 2020
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