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VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20261013T134835Z
DTSTART:20261019T130000Z
DTEND:20261019T140000Z
SUMMARY:Susanna Röblitz --Stochasticity in regulatory networks: A key for
  cellular differentiation and reproductive success [IN PERSON]
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}m60-mufl6qg
 2-d3eq4
DESCRIPTION:Join us for this seminar by Susanna Röblitz (Bergen) as part 
 of the Maths in the Life Sciences seminar series (and the online North W
 est Seminar Series in Mathematical Biology and Data Sciences in collabor
 ation with Liverpool Universities). \n\nTitle: Stochasticity in regulato
 ry networks: A key for cellular differentiation and reproductive success
 \n\nAbstract: Biological noise is the cell-to-cell variability that occu
 rs in genetically identical populations due to randomness in molecular r
 eactions and environmental fluctuations. This noise is divided into two 
 primary categories: intrinsic noise and extrinsic noise.\nIntrinsic nois
 e comes from the probabilistic nature of individual biochemical reaction
 s (such as transcription\, translation\, and molecular binding) happenin
 g directly at a specific gene or pathway. Extrinsic noise comes from flu
 ctuations in the shared cellular environment or upstream machinery that 
 globally or pathway-specifically affect multiple processes across the ce
 ll. In my talk\, I will showcase how we deal with these two categories o
 f noise on two modelling examples. In the first part\, I will highlight 
 a projection method known as Markov state modelling that allows us to in
 fer the long-time dynamic behavior of cellular phenotypes from stochasti
 c gene-regulatory networks (intrinsic noise). In the second part\, I wil
 l demonstrate on a mathematical model of the human menstrual cycle that 
 randomness is a critical biological mechanism in follicular recruitment 
 and selection in reproductive biology (extrinsic noise). \n\nThe talk wi
 ll be also be streamed via Teams\, please contact carl.whitfield@manches
 ter.ac.uk or igor.chernyavsky@manchester.ac.uk for the link\, or sign up
  to the mailing list.\n\nTo subscribe to the mailing list for this event
  series\, please send an e-mail with the phrase “subscribe math-lifesci-
 seminar” in the message body to listserv@listserv.manchester.ac.uk
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:6.53 (Niels Bohr Conference Room)\, Schuster Building\, Manchest
 er
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