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SUMMARY:From single cells to microbial consortia and back: stochastic chem
 ical kinetics coupled to population dynamics
DTSTART:20251107T101500Z
DTEND:20251107T111500Z
DTSTAMP:20260907T053900Z
UID:indico-event-15347@indico.math.cnrs.fr
DESCRIPTION:Speakers: Jakob Ruess\n\nAt the single-cell level\, biochemica
 l processes are inherently stochastic. Such processes are typically studie
 d using models based on stochastic chemical kinetics\, governed by a chemi
 cal master equation (CME). The CME describes the time evolution of the pro
 bability distribution over system states and has been a tremendously helpf
 ul tool in shedding light on the functioning of cellular processes. Howeve
 r\, single cells are not living in isolation but are part of a growing pop
 ulation or community. In such contexts\, stochasticity at the single-cell 
 scale leads to population heterogeneity and cells may be subject to popula
 tion processes\, such as selection\, that drive the population distributio
 n away from the probability distribution of the single-cell process. Here\
 , I will introduce a multi-scale modeling framework that allows one to cap
 ture coupled stochastic single-cell and population process. I will show th
 at the expected population distribution of such multi-scale models can be 
 calculated by solving a modified version of the CME that is of the same di
 mensionality as the standard CME. I will then show how such models can be 
 used to explain experimental data on plasmid copy number fluctuations and 
 population growth in media that selects against cells that have lost the p
 lasmid. Finally\, I will present an optogenetic recombination system that 
 allows one to partition yeast populations into different cell types via ex
 ternal application of blue light to cells and show how our modeling framew
 ork can be used to predict and control emerging dynamics of the population
  composition in response to time-varying light stimuli.\n\nhttps://indico.
 math.cnrs.fr/event/15347/
URL:https://indico.math.cnrs.fr/event/15347/
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