Modeling Evolutionary Dynamics of Epigenetic Mutations in Hierarchically Organized Tumors

PLoS Computational Biology

Volumn 7, Issue 5, 2011, Pages

  Sottoriva, Andrea ^a   Vermeulen, Louis ^b   Tavaré, Simon ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b ACADEMIC MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALKYLATION; CLONING; DISEASES; DYNAMICS; HIERARCHICAL SYSTEMS; POTTS MODEL; STEM CELLS;

CANCER RESEARCH; CANCER STEM CELLS; CELL DRIVEN; CELL THEORIES; CELLULAR POTTS MODELS; EPIGENETICS; EVOLUTIONARY DYNAMICS; EXPERIMENTAL EVIDENCE; HIERARCHICAL MODEL; HUMAN MALIGNANCIES;

TUMORS;

ARTICLE; CANCER GROWTH; CANCER STEM CELL; CELL GROWTH; CELL HETEROGENEITY; CELL SUBPOPULATION; CELLULAR POTTS MODEL; CLONAL VARIATION; COMPUTER SIMULATION; CONTROLLED STUDY; EPIGENETIC MUTATION; EPIGENETICS; GENE MUTATION; HUMAN; MALIGNANT NEOPLASTIC DISEASE; MITOSIS; MOLECULAR DYNAMICS; MOLECULAR EVOLUTION; MOLECULAR MODEL; SEQUENCE ANALYSIS; STOCHASTIC MODEL; BIOLOGICAL MODEL; CELLULAR, SUBCELLULAR AND MOLECULAR BIOLOGICAL PHENOMENA AND FUNCTIONS; DNA METHYLATION; GENETIC EPIGENESIS; GENETICS; MONTE CARLO METHOD; MUTATION; NEOPLASM; PATHOLOGY; PHYSIOLOGY; REPRODUCTIVE FITNESS; STATISTICS;

CELL PHYSIOLOGICAL PROCESSES; COMPUTER SIMULATION; DNA METHYLATION; EPIGENESIS, GENETIC; EVOLUTION, MOLECULAR; GENETIC FITNESS; HUMANS; MODELS, GENETIC; MONTE CARLO METHOD; MUTATION; NEOPLASMS; NEOPLASTIC STEM CELLS; STOCHASTIC PROCESSES;

EID: 79958103914     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1001132     Document Type: Article

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