2018 CAP Congress / Congrès de l'ACP 2018

Session

M3-1 Stochastic Biology (DPMB) I Biologie stochastique (DPMB)

M3-1

11 Jun 2018, 16:15

Dalhousie University

Conveners

M3-1 Stochastic Biology (DPMB) I Biologie stochastique (DPMB)

• Andrew Rutenberg (Dalhousie University)

2256. Stochastic models in quantitative biology: how they fail and why we need them (I)

Dr Andreas Hilfinger (University of Toronto Mississauga)

11/06/2018, 16:15

Physics in Medicine and Biology / Physique en médecine et en biologie (DPMB-DPMB)

Invited Speaker / Conférencier(ère) invité(e)

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...

2299. Spontaneous development of drug resistance caused by a common gene regulatory network (I)

Mads Kaern (University of Ottawa)

11/06/2018, 16:45

Physics in Medicine and Biology / Physique en médecine et en biologie (DPMB-DPMB)

Invited Speaker / Conférencier(ère) invité(e)

The development of drug resistance is a serious problem that reduces therapeutic susceptibility and complicates the treatment of infectious disease and cancer. To explore non-genetic causes of spontaneous drug resistance in rapidly proliferating cell populations, we constructed a set of synthetic transcriptional regulatory networks in yeast Saccharomyces cerevisiae to control the expression of...

2217. Probing the network structure of health deficits in human aging (I)

Spencer Farrell (Dalhousie University)

11/06/2018, 17:15

Physics in Medicine and Biology / Physique en médecine et en biologie (DPMB-DPMB)

Invited Speaker / Conférencier(ère) invité(e)

Human aging leads to the stochastic accumulation of damage. We model an aging population using a stochastic network model. Individuals are modeled as a network of interacting nodes, representing health attributes. Nodes in the network stochastically damage and repair, with rates dependent on the state of their neighbors. Damaged nodes represent health deficits. Overall damage in the network is...

2264. *** Withdrawn *** Soma-dendrite interaction enhances noisy signal encoding

Prof. Andre Longtin (University of Ottawa)

11/06/2018, 17:30

Physics in Medicine and Biology / Physique en médecine et en biologie (DPMB-DPMB)

Oral (Non-Student) / Orale (non-étudiant(e))

Dendrites are often excitable structures involved in the signal processing of almost all neurons.
We find that when an active dendrite has a greater intrinsic variability and a longer refractory period
than the soma, it will determine spike times for weak inputs but be entrained by somatic spikes for
strong inputs. This produces an input-dependent gating of dendritic noise. As a result,...