Dynamic imaging of nascent RNA reveals general principles of transcription dynamics and stochastic splice site selection
Author(s) -
Yihan Wan,
Dimitrios G. Anastasakis,
Joseph Rodriguez,
Murali Palangat,
Prabhakar R. Gudla,
George Zaki,
Mayank Tandon,
Gianluca Pegoraro,
Carson C. Chow,
Markus Hafner,
Daniel R. Larson
Publication year - 2021
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2021.04.012
Subject(s) - biology , splice , transcription (linguistics) , computational biology , rna , rna splicing , selection (genetic algorithm) , genetics , dynamics (music) , evolutionary biology , gene , computer science , artificial intelligence , linguistics , philosophy , physics , acoustics
The activities of RNA polymerase and the spliceosome are responsible for the heterogeneity in the abundance and isoform composition of mRNA in human cells. However, the dynamics of these megadalton enzymatic complexes working in concert on endogenous genes have not been described. Here, we establish a quasi-genome-scale platform for observing synthesis and processing kinetics of single nascent RNA molecules in real time. We find that all observed genes show transcriptional bursting. We also observe large kinetic variation in intron removal for single introns in single cells, which is inconsistent with deterministic splice site selection. Transcriptome-wide footprinting of the U2AF complex, nascent RNA profiling, long-read sequencing, and lariat sequencing further reveal widespread stochastic recursive splicing within introns. We propose and validate a unified theoretical model to explain the general features of transcription and pervasive stochastic splice site selection.
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