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SUMMARY:From single-cell variability and correlations across lineages to t
 he population growth
DTSTART:20181116T100000
DTEND:20181116T110000
DTSTAMP:20260503T095423Z
UID:9fcec3f97691596823385a8c1778c8aea02ffffbb61d0b2d38c7e023
CATEGORIES:Conferences - Seminars
DESCRIPTION:Professor Ariel Amir\, Assistant Professor of Applied Mathemat
 ics and Applied Physics\, School of Engineering and Applied Sciences\, Har
 vard University  \nGenetically identical microbial cells often display di
 verse phenotypes. Stochasticity at the single-cell level contributes signi
 ficantly to this phenotypic variability\, and cells utilize a variety of m
 echanisms to regulate noise. In turn\, these control mechanisms lead to co
 rrelations in various cellular traits across the lineage tree. I will pres
 ent recent models we developed for understanding cellular homeostasis\, wi
 th special focus on protein levels and cell size. These models allow us to
  characterize single-cell variability\, including the emerging correlation
 s and distributions. I will discuss the implications of stochasticity on t
 he population growth. In contrast to the dogma\, we find that variability 
 may be detrimental to the population growth\, suggesting that evolution wo
 uld tend to suppress it.
LOCATION:BSP 231 https://plan.epfl.ch/?dim_floor=2&lang=fr&dim_lang=fr&tre
 e_groups=centres_nevralgiques%2Cacces%2Cmobilite_reduite%2Censeignement%2C
 commerces_et_services%2Cvehicules%2Cinfrastructure_plan_grp&tree_grou
STATUS:CONFIRMED
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