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Updated: Jun 23, 2026

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
Published on: March 7, 2018
Analysis of post-transcriptional regulations by a functional, integrated, and quantitative method
Benoît Laloo1, Delphine Simon, Véronique Veillat
1INSERM, U889, Groupe de Recherche pour l'Etude du Foie (GREF), Bordeaux, F-33076 France.
Researchers developed FunREG, a quantitative method to measure post-transcriptional regulation. This tool helps reconcile transcriptome and proteome data, revealing differential gene expression mechanisms in liver cancer cells.
Area of Science:
- Molecular Biology
- Genomics
- Biochemistry
Background:
- Transcriptome and proteome analyses offer insights into gene expression and cellular networks.
- Discrepancies between mRNA and protein levels suggest post-transcriptional regulation plays a key role.
- Existing methods lack the integration and quantitative power to fully assess these regulations.
Purpose of the Study:
- To develop a functional, integrated, and quantitative method named FunREG for measuring post-transcriptional regulations.
- To enable quantitative assessment of regulations mediated by 3-untranslated regions (3' UTRs), small interfering RNAs (siRNAs), and microRNAs (miRNAs).
- To facilitate comparison of regulatory processes in different physiological systems, such as cancer versus normal cells.
Main Methods:
- Development of the FunREG method for quantitative measurement of post-transcriptional regulations.
- Application of FunREG to study liver cancer by comparing normal hepatocytes with tumoral hepatic cells.
- Analysis of regulatory mechanisms including translation efficiency and mRNA stability mediated by specific 3' UTRs.
Main Results:
- Demonstrated differential post-transcriptional regulatory mechanisms in normal and tumoral hepatic cells.
- Showed a 3-fold increase in translation efficiency mediated by heparin-binding epidermal growth factor 3' UTR in liver cancer cells.
- Observed a more than 2-fold increase in mRNA stability for a Cyclin D1 3' UTR-containing sequence in HepG2 cells compared to normal hepatocytes.
Conclusions:
- FunREG provides a novel, convenient, and accessible tool for measuring post-transcriptional regulations.
- The method is adaptable for various cell types, functional screens, and genome-scale analyses.
- FunREG can help reconcile transcriptome and proteome data, advancing fundamental and medical research, particularly in cancer biology.
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