Publication details

Stochastic Modelling of the Interface between Regulatory Enzymes and Transcription Initiation at Inducible Genes

Investor logo
Authors

ČEŠKA Milan SCHNEIDER Caroline ALESSANDRO Abate ŠAFRÁNEK David MAHADEVAN Louis KWIATKOWSKA Marta

Year of publication 2015
Type Appeared in Conference without Proceedings
MU Faculty or unit

Faculty of Informatics

Citation
Description Biological switches that control transcription of inducible genes can be thought of either as two-state or as continuously variable switches. We are developing a novel stochastic model of the interface between signal transduction and transcription initiation which accommodates both possibilities in order to compare both switching mechanisms in the context of immediate early (IE) gene induction. IE genes display quantitatively regulated expression linked to external stimuli via intracellular signalling pathways. The main modelling challenge lies at the interface between the large population of signalling molecules and a single copy of each gene. Our approach dissects the characteristics of the interface for the two types of switches. The model provides a range of reasonable predictions for transcriptional initiation and enables us to see IE gene inductio as a dynamically regulated quantitative process in which the turnover of phosphorylation of transcription factors (TF) may play a key role. This promises to support further experimental investigation and helps to elucidate quantitative understanding of this mechanism.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.

More info