Modelling cell response to cancer drug treatment identifies dynamic features of efficient cell death initiation, enabling prediction and control of therapeutic response heterogeneity

ODE Parameter identification Heterogeneous population Apoptosis Fractional killing TRAIL Programmed cell death Non-genetic resistance Clonal cancer cells Single-cell

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Modélisation et simulation

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Early prediction of cell response upon cancer drug treatment identifies dynamic determinants of efficient cell death initiation, enabling control of therapeutic response heterogeneity.pdf (3.77 Mo)

InsideTalk_16062022_Poster_Abstract_Marielle_Péré.pdf (95.33 Ko)

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https://hal.science/hal-03868579

Soumis le : mercredi 7 décembre 2022-17:15:20

Dernière modification le : vendredi 12 avril 2024-15:46:03

Archivage à long terme le : mercredi 8 mars 2023-18:23:35

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hal-03868579 , version 1 (07-12-2022)

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HAL Id : hal-03868579 , version 1

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Marielle Péré, Madalena Chaves, Jérémie Roux. Modelling cell response to cancer drug treatment identifies dynamic features of efficient cell death initiation, enabling prediction and control of therapeutic response heterogeneity. inSiDE seminars (Signaling Dynamics and Encoding,)Connecting scientists interested in single-cell signaling dynamics, Jun 2022, Online, France. ⟨hal-03868579⟩

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