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Updated: Jun 25, 2026

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
Published on: March 7, 2018
Post-transcriptional gene regulation: RNA-protein interactions, RNA processing, mRNA stability and localization
Benjamin Blencowe1, Steven Brenner, Timothy Hughes
1Department of Molecular Genetics, University of Toronto, 1 King's College Rd., Toronto, ON, M5S 1A8, Canada.
This workshop explores computational approaches for understanding gene regulation after transcription. It highlights new methods for identifying RNA and protein factors involved in post-transcriptional control and detecting regulatory signals in messenger RNA.
Area of Science:
- Computational Biology
- Molecular Biology
- Genomics
Background:
- Post-transcriptional regulation plays a crucial role in gene expression.
- Investigating these mechanisms presents unique computational challenges.
- Emerging large-scale experimental techniques offer new avenues for study.
Purpose of the Study:
- To introduce the computational community to recent advancements in post-transcriptional regulation.
- To discuss computational problems and present potential solutions in this field.
- To focus on identifying and characterizing RNA and protein components involved in gene regulation.
Main Methods:
- Utilizing microarray and deep sequencing data for large-scale investigations.
- Developing and applying computational methods for analyzing gene regulation.
- Focusing on the identification of cis- and trans-acting regulatory elements.
Main Results:
- Exploration of emerging computational strategies for post-transcriptional analysis.
- Presentation of preliminary solutions to computational challenges in the field.
- Characterization of cis-regulatory signals encoded within mRNAs.
Conclusions:
- Advancements in computational and experimental methods are crucial for understanding post-transcriptional gene regulation.
- Further development of computational tools is needed to fully elucidate these complex regulatory networks.
- This work bridges the gap between computational and experimental approaches in transcriptomics.
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Transcription results in the generation of precursor (pre-mRNA) that consists of both exons and introns, which needs further processing before being translated to a...

