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DTSTAMP:20250504T001751Z
DESCRIPTION:Modeling cell-cell interaction networks and diffusion-limited c
 ytokine signaling in T cell populations\n\nKevin Thurley\, University of B
 onn\n	Tuesday February 18\, 12-1pm\n	Zoom Link: https://mcgill.zoom.us/j/899
 14150820\n	In Person: 550 Sherbrooke\, Room 189\n	\n	Abstract: Immune respons
 es are tightly regulated by a diverse set of interacting immune cell popul
 ations. We developed a general mathematical framework for the data-driven 
 analysis of collective immune cell dynamics [1]\, and derived a specific m
 athematical model for T helper 1 versus T follicular helper cell-fate deci
 sion dynamics in acute and chronic lymphocytic choriomeningitis virus infe
 ctions in mice. The model recapitulates important dynamical properties wit
 hout model fitting rather by directly using measured response-time distrib
 utions. We further designed a three-dimensional spatio-temporal modeling f
 ramework\, to systematically investigate the origin and consequences of sp
 atially inhomogeneous cytokine distributions in lymphoid tissues [2]. We f
 ound that spatial cytokine inhomogeneities are critical for effective para
 crine signaling\, and they do not arise by diffusion and uptake alone\, bu
 t rather depend on properties of the cell population such as an all-or-non
 e behavior of cytokine secreting cells. Our simulations highlight the comp
 lex spatiotemporal dynamics imposed by cell-cell signaling with diffusible
  ligands\, which entails a large potential for fine-tuned biological contr
 ol especially if combined with feedback mechanisms.\n\n[1] Burt P. and Thu
 rley K.\, Distribution modeling quantifies collective TH cell decision cir
 cuits in chronic inflammation\, Sci. Adv. 9: eadg7668\, 2023.\n\n[2] Brunn
 er P.\, Kiwitz L.\, Li L.\, Thurley K.\, Diffusion-limited cytokine signal
 ing in T cell populations\, iScience 27:110134 (2024)\, https://doi.org/10
 .1016/j.isci.2024.110134.\n
DTSTART:20250218T170000Z
DTEND:20250218T180000Z
SUMMARY:QLS Seminar Series - Kevin Thurley
URL:/qls/channels/event/qls-seminar-series-kevin-thurl
 ey-363529
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