Mathematical modelling of cell-fate decision in response to death receptor engagement

PLoS Computational Biology

Volumn 6, Issue 3, 2010, Pages

  Calzone, Laurence ^a,b,c   Tournier, Laurent ^a,b,c   Fourquet, Simon ^a,b,c   Thieffry, Denis ^d,e   Zhivotovsky, Boris ^f   Barillot, Emmanuel ^a,b,c   Zinovyev, Andrei ^a,b,c  

^a INSTITUT CURIE   (France)

^b PSL RESEARCH UNIVERSITY   (France)

^c INSERM U900   (France)

^d Aix Marseille university   (France)

^e INRIA   (France)

^f KAROLINSKA INSTITUTE   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

CELL CULTURE; CELL DEATH;

CELL FATE DECISION; CELL LINES; CELL-FATE; CELLULAR CONDITIONS; CYTOKINES; DEATH-RECEPTOR; DISCRETE MODELS; MECHANISTICS; MODELING FORMALISMS; WILD TYPES;

PROTEINS;

CYTOKINE; DEATH RECEPTOR; FAS LIGAND; IMMUNOGLOBULIN ENHANCER BINDING PROTEIN; PROTEIN RIP1; TRANSCRIPTION FACTOR; TUMOR NECROSIS FACTOR; UNCLASSIFIED DRUG;

ACQUIRED IMMUNE DEFICIENCY SYNDROME; APOPTOSIS; ARTICLE; CELL DEATH; CELL FATE; CELL LINE; CELL STIMULATION; CELL SURVIVAL; CONTROLLED STUDY; ENZYME ACTIVATION; GENE SILENCING; MATHEMATICAL MODEL; NECROSIS; NEOPLASM; PHENOTYPE; PROTEIN FUNCTION; PROTEIN PROTEIN INTERACTION; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; METABOLISM; PHYSIOLOGY;

ANIMALS; APOPTOSIS; COMPUTER SIMULATION; HUMANS; MODELS, BIOLOGICAL; RECEPTORS, DEATH DOMAIN;

EID: 77950825394     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000702     Document Type: Article

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