10-16 June 2018
Dalhousie University
America/Halifax timezone
Welcome to the 2018 CAP Congress Program website! / Bienvenue au siteweb du programme du Congrès de l'ACP 2018!

Stochastic models in quantitative biology: how they fail and why we need them (I)

11 Jun 2018, 16:15
30m
SUB 302 (cap.40) (Dalhousie University)

SUB 302 (cap.40)

Dalhousie University

Invited Speaker / Conférencier(ère) invité(e) Physics in Medicine and Biology / Physique en médecine et en biologie (DPMB-DPMB) M3-1 Stochastic Biology (DPMB) I Biologie stochastique (DPMB)

Speaker

Dr Andreas Hilfinger (University of Toronto Mississauga)

Description

Many biological processes in cells are complex yet sparsely characterized. Constructing physical models of such systems then often requires making many assumptions based on guesswork. Instead of ignoring or guessing unknown details in complex processes we have derived universal balance relations to rigorously characterize stochastic fluctuations in incompletely specified systems. Specifying some features of a system while leaving everything else unspecified then allows us to establish physical performance bounds for classes of intracellular processes. Additionally, we can turn general network invariants into experimental data analysis tools. For example, exploiting naturally occurring cell-to-cell variability allowed us to test specific hypotheses about gene expression, showing that observed fluctuations in E. coli contradict the majority of published models of stochastic gene expression.

Primary author

Dr Andreas Hilfinger (University of Toronto Mississauga)

Co-authors

Dr Johan Paulsson (Harvard University) Dr Glenn Vinnicombe (Cambridge University) Dr Thomas Norman (UCSF)

Presentation Materials

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