Modeling Dynamics of Cell-to-Cell Variability in TRAIL-Induced Apoptosis Explains Fractional Killing and Predicts Reversible Resistance

PLoS Computational Biology

Volumn 10, Issue 10, 2014, Pages

  Bertaux, François ^a   Stoma, Szymon ^a,c   Drasdo, Dirk ^a,b   Batt, Gregory ^a  

^a INRIA   (France)

^b UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

^c ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

BACTERIOPHAGES; BIOSYNTHESIS; CELL DEATH; LANTHANUM COMPOUNDS; PROTEINS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

CELL SENSING; CELL-TO-CELL VARIABILITY; EXTERNAL SIGNALS; INDUCED APOPTOSIS; ISOGENIC CELLS; MODEL DYNAMICS; NON-TRIVIAL; PROTEIN LEVEL; PROTEIN TURNOVERS; STOCHASTICS;

SIGNAL TRANSDUCTION;

CYCLOHEXIMIDE; PROTEIN MCL 1; TUMOR NECROSIS FACTOR RELATED APOPTOSIS INDUCING LIGAND;

APOPTOSIS; ARTICLE; CANCER RESISTANCE; CELL KILLING; CELL SURVIVAL; GENE EXPRESSION NOISE; GENETIC PARAMETERS; HELA CELL LINE; MATHEMATICAL COMPUTING; PREDICTION; PROTEIN METABOLISM; PROTEIN PROTEIN INTERACTION; PROTEIN SYNTHESIS; SIGNAL TRANSDUCTION; BIOLOGICAL MODEL; HUMAN; METABOLISM; PHYSIOLOGY; STATISTICS;

APOPTOSIS; HELA CELLS; HUMANS; MODELS, BIOLOGICAL; SIGNAL TRANSDUCTION; STOCHASTIC PROCESSES; TNF-RELATED APOPTOSIS-INDUCING LIGAND;

EID: 84908336319     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003893     Document Type: Article

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