A model for genetic and epigenetic regulatory networks identifies rare pathways for transcription factor induced pluripotency

PLoS Computational Biology

Volumn 6, Issue 5, 2010, Pages 1-14

  Artyomov, Maxim N ^a,b   Meissner, Alexander ^b,c   Chakraborty, Arup K ^a,d  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^c HARVARD UNIVERSITY   (United States)

^d Massachusetts Institute of Technology Cambridge   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTION;

COMPUTATIONAL MODELLING; DIFFERENTIATED CELLS; ECTOPIC EXPRESSIONS; EPIGENETICS; INDUCED PLURIPOTENCY; OPTIMAL STRATEGIES; PATIENT SPECIFIC; PLURIPOTENT; REGENERATIVE MEDICINE; REGULATORY NETWORK;

TRANSCRIPTION FACTORS;

TRANSCRIPTION FACTOR;

ARTICLE; CELL DEDIFFERENTIATION; COMPUTER MODEL; EPIGENETICS; EXPERIMENTAL TEST; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETIC IDENTIFICATION; GENETIC TRANSFORMATION; MATHEMATICAL COMPUTING; NEOPLASM; NUCLEAR REPROGRAMMING; PLURIPOTENT STEM CELL; PREDICTION; PROCESS DEVELOPMENT; VALIDATION PROCESS; ANIMAL; BIOLOGICAL MODEL; CELL DIFFERENTIATION; COMPUTER SIMULATION; EMBRYONIC STEM CELL; GENETIC EPIGENESIS; GENETICS; MOUSE; PHYSIOLOGY;

ANIMALS; CELL DEDIFFERENTIATION; CELL DIFFERENTIATION; COMPUTER SIMULATION; EMBRYONIC STEM CELLS; EPIGENESIS, GENETIC; GENE REGULATORY NETWORKS; MICE; MODELS, GENETIC; PLURIPOTENT STEM CELLS; TRANSCRIPTION FACTORS;

EID: 77954647251     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000785     Document Type: Article

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