Lineage Resolved Simulations for Comparing Simulated and Experimental Cell Viability Assays.

<p>A-C. Dose response simulations for an example drug (trametinib). Median (across simulation replicates) cell population dynamics for several doses (A) and cell population lineage dendrograms for specific doses: 0 uM (B) and 0.1 uM (C) are shown. D-G. Simulated dose responses measured in GR-v...

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Bibliographic Details
Main Author:	Arnab Mutsuddy (22146227) (author)
Other Authors:	Jonah R. Huggins (13235400) (author), Aurore K. Amrit (22146230) (author), Atalanta Manuela Harley-Gasaway (22146233) (author), Cemal Erdem (11054081) (author), Evan T. Jones (22146236) (author), Olivia G. Laurine (22146239) (author), Jon C. Calhoun (22146242) (author), Marc R. Birtwistle (10825523) (author)
Published:	2025
Subjects:	Biophysics Cell Biology Genetics Molecular Biology Pharmacology Biotechnology Cancer Hematology Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified tracks simulated division strong growth inhibition slowly dividing cells mother cells prior measure cumulative division four targeted anti erk pathway activity better understanding determinants receptor inhibitor response egfr inhibitor ). 3k inhibitor ), mechanistic computational models xlink "> data cell viability assays cell cycle may simulations show subpopulations rapidly dividing phenotype drug treatment impinging data inconsistencies suggest previously developed model mek inhibitor suggest causes mechanistic modeling experimental data data comparison cell proliferation cell lineages 6 inhibitor work lays widely available treated conditions silico </ overall lack often muddled mammalian single lineage tracing induced signaling direct model detailed single death signaling death events critical determinant cellular heterogeneity cellular balance cancer drugs
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Lineage Resolved Simulations for Comparing Simulated and Experimental Cell Viability Assays.

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