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DTSTART:20180325T030000
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DTSTART:20181028T020000
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DTSTAMP:20260404T015804Z
UID:5a3a343af0ca8514020222@ist.ac.at
DTSTART:20180420T150000
DTEND:20180420T160000
DESCRIPTION:Speaker: Thomas Julou\nhosted by Gasper Tkacik\nAbstract: How g
 ene regulatory interactions adapt metabolism and stress responses to envir
 onmental conditions in single cells remains elusive despite intense studie
 s\, in part due to the difficulty of directly observing and measuring gene
  regulatory processes in vivo. We present a integrated experimental and co
 mputational setup consisting of a dual-input microfluidic device and accom
 panying image analysis software that allows long-term and highly accurate 
 tracking of growth and gene expression in lineages of single cells exposed
  to controlled environmental changes.We study the response of E. coli cell
 s to a sudden switch in carbon source from glucose to lactose. We observe 
 that upon the switch all cells immediately arrest growth and that the lag 
 times before cells resume growth is multimodal. We characterise the underl
 ying molecular mechanism and demonstrate that the two main subpopulations 
 correspond to cells with or without preexisting Lac proteins when the swit
 ch occurs. In addition\, a direct comparison of these single-cell data wit
 h population growth curves in diauxic condition leads us to a new quantita
 tive interpretation of lags during diauxic growth.Last\, we present a gene
 ral theoretical analysis that demonstrates that observing widespread lag d
 istributions is not surprising from an evolutionary perspective: for isoge
 nic populations with heterogeneous lag times\, the population fitness is m
 ainly determined by the response times of the fastest cells in the populat
 ion\, and insensitive to long tails of slow or non-responding cells. We di
 scuss the optimality of the lac operon response described above in the lig
 ht of this analysis.
LOCATION:Mondi Seminar Room 3\, Central Building\, ISTA
ORGANIZER:rgrah@ist.ac.at
SUMMARY:Thomas Julou: Revisiting diauxic growth: lessons from single-cell a
 pproaches
URL:https://talks-calendar.ista.ac.at/events/1212
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