Related Experiment Video
Updated: May 17, 2026
10:25
Using the E1A Minigene Tool to Study mRNA Splicing Changes
Published on: April 22, 2021
The competition between splicing and 3' processing shapes the human transcriptome
Lindsey V Soles1,2, Shuangyu Li1, Liang Liu1
1Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, California 92617, USA.
Genes & Development
|May 15, 2026
Summary
Splicing and 3' processing are linked. Disrupting splicing activates intronic polyadenylation (IPA) sites and premature transcription termination, revealing competition between these RNA processing steps.
Area of Science:
- Molecular Biology
- RNA Processing
- Gene Regulation
Background:
- Eukaryotic pre-mRNA processing involves coordinated splicing and 3' processing.
- The proposed telescripting model suggests U1 snRNP inhibits 3' processing at intronic polyadenylation (IPA) sites.
- Mechanisms coordinating these processes remain unclear.
Purpose of the Study:
- To investigate the relationship between splicing and 3' processing.
- To determine the role of splicing factors in regulating IPA site usage.
- To elucidate how splicing and 3' processing influence transcription.
Main Methods:
- Disruption of splicing using six distinct methods targeting key spliceosome components (U1 snRNP, U2 snRNP, U2AF, SF3b).
- Analysis of intronic polyadenylation (IPA) site activation.
- Assessment of premature transcription termination.
- Global analysis of splicing and 3' processing upon inhibition of the other.
Main Results:
- Splicing inhibition activated thousands of IPA sites.
- Splicing inhibition, particularly of U1 snRNP, caused widespread premature transcription termination.
- Inhibition of 3' processing globally enhanced splicing.
- Distinct splicing factors influenced overlapping and unique sets of IPA sites.
Conclusions:
- Splicing and 3' processing are competing processes.
- These processes intersect with transcription to shape the transcriptome.
- The findings challenge the telescripting model and propose a competitive model for RNA processing and transcription regulation.
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