Modelling Stochastic Gene Expression

Modelling Stochastic Gene Expression
Relatore:  Sandro Azaele - University of Leeds
  martedì 4 aprile 2017 alle ore 11.30 Ca' Vignal 1, aula A
Single-cell experiments have shown that gene expression in both prokaryotes and eukaryotes is inherently stochastic and cells are able to exploit as well as control such stochasticity. I will introduce some models which explicitly incorporate such stochasticity and are able to describe some basic features of the transcription and translation processes in living cells.
More specifically, I will discuss the two-stage and burst models, which describe the dynamics of the population sizes of mRNAs molecules and synthesized proteins. Because proteins typically live for several mRNA lifetimes, I will show how to achieve a great deal of analytical progress by introducing a separation of time scales in the dynamics. I will finally show to what degree the burst model -- which explicitly accounts for bursts in the population dynamics -- is in agreement with the two-stage model.

Luogo
Ca' Vignal 1, Piano terra, Aula A

Referente
Giandomenico Orlandi

Referente esterno
Data pubblicazione
18 marzo 2017

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