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Updated: Aug 7, 2026

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
Published on: March 7, 2018
Sequential recruitment and combinatorial assembling of multiprotein complexes in transcriptional activation
Vincent Lemaire1, Chiu Fan Lee, Jinzhi Lei
1Centre for Nonlinear Dynamics, McGill University, Canada. lemaire@cnd.mcgill.ca
Estrogen signals cause cyclical protein-DNA interactions to regulate gene transcription. A new model predicts robust binding sequences during these oscillations, applicable to other biological processes.
Area of Science:
- Molecular Biology
- Systems Biology
- Genetics
Background:
- Estrogenic signals regulate gene expression through cyclical protein-DNA interactions in human cells.
- Understanding these dynamic processes is crucial for deciphering gene regulation.
Purpose of the Study:
- To develop a model for predicting protein-DNA binding sequences during estrogen-induced oscillations.
- To apply this model to experimental data and identify robust binding patterns.
Main Methods:
- Modeling sequential reactions with linear kinetics and random rates.
- Applying the model to experimental data to predict protein-DNA association phases.
Main Results:
- The model successfully predicts robust protein-DNA binding sequences at various oscillation phases.
- Identified specific binding patterns crucial for estrogen-responsive gene activation.
Conclusions:
- The developed modeling approach effectively predicts dynamic protein-DNA interactions in gene regulation.
- This method is broadly applicable to other complex biological oscillations.
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