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SUMMARY:Tissue renewal by stochastic stem cell fate dynamics - Philip Greu
 lich (University of Cambridge)
DTSTART:20160204T120000Z
DTEND:20160204T130000Z
UID:TALK64240@talks.cam.ac.uk
CONTACT:Salvatore Tesoro
DESCRIPTION:Skin and other epithelial (surface-coating) tissues look stati
 c but are in fact very dynamic: old cells continuously die and are replace
 d by new cells that emerge from the division of stem cells and subsequent 
 differentiation. This represents a stationary non-equilibrium state of the
  tissue cell population. The question is how the proliferation and differe
 ntiation of stem cells — the stem cell fate — is accurately balanced t
 o maintain this state\, since otherwise tissue degeneration or aberrant gr
 owth may emerge\, the latter leading to tumours.\n\nHere I will present di
 fferent model strategies of cell fate dynamics in tissues\, and will show\
 , by comparison with biological in-vivo cell lineage data\, that stem cell
  fate decisions are determined by a high degree of stochasticity. The rele
 vant stochastic cell fate models are related to classical stochastic proce
 sses and to statistical physics lattice (spin) models (Ising and voter mod
 el). It turns out that a novel paradigm\, involving some degree of reversi
 bility in differentiation (“spin flips”)\, leads to a robust viable me
 chanism of stochastic tissue maintenance which is consistent with experime
 ntal results.\n
LOCATION:TCM Seminar room\, 530 Mott building
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