Gene networks of fully connected triads with complete auto-activation enable multistability and stepwise stochastic transitions

PLoS ONE

Volumn 9, Issue 7, 2014, Pages

  Faucon, Philippe C ^a   Pardee, Keith ^b,c   Kumar, Roshan M ^b,c   Li, Hu ^d   Loh, Yuin Han ^e   Wang, Xiao ^f  

^a ARIZONA STATE UNIVERSITY   (United States)

^b HARVARD UNIVERSITY   (United States)

^c BOSTON UNIVERSITY   (United States)

^d MAYO GRADUATE SCHOOL   (United States)

^e INSTITUTE OF MOLECULAR AND CELL BIOLOGY   (Singapore)

^f Arizona State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CELL FATE; FULLY CONNECTED TRIAD; GENE ACTIVATION; GENE EXPRESSION; GENE REGULATORY NETWORK; GENETIC TRANSCRIPTION; MATHEMATICAL COMPUTING; MOLECULAR BIOLOGY; MOLECULAR STABILITY; NOISE; STATISTICAL MODEL; STATISTICS; BIOLOGICAL MODEL; CELL DIFFERENTIATION; CELL LINEAGE; CYTOLOGY; GENE EXPRESSION REGULATION; GENETICS; HUMAN; METABOLISM; PLURIPOTENT STEM CELL; SIGNAL TRANSDUCTION;

HOMEODOMAIN PROTEIN; NANOG PROTEIN, HUMAN; OCTAMER TRANSCRIPTION FACTOR 4; POU5F1 PROTEIN, HUMAN; SOX2 PROTEIN, HUMAN; TRANSCRIPTION FACTOR SOX;

CELL DIFFERENTIATION; CELL LINEAGE; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORKS; HOMEODOMAIN PROTEINS; HUMANS; INDUCED PLURIPOTENT STEM CELLS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; OCTAMER TRANSCRIPTION FACTOR-3; SIGNAL TRANSDUCTION; SOXB1 TRANSCRIPTION FACTORS; STOCHASTIC PROCESSES; TRANSCRIPTION, GENETIC;

EID: 84904812895     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0102873     Document Type: Article

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