Computational models of the Notch network elucidate mechanisms of context-dependent signaling

PLoS Computational Biology

Volumn 5, Issue 5, 2009, Pages

  Agrawal, Smita ^a,b,c,d   Archer, Colin ^a,b,c,e   Schaffer, David V ^a,b,c  

^a University of California   (United States)

^b University of California at Berkeley   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF MINNESOTA   (United States)

^e UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CELL SIGNALING; CYTOLOGY; FEEDBACK; STOCHASTIC SYSTEMS; TRANSCRIPTION;

CELL FATE DECISION; CELL-FATE; COMPUTATIONAL MODELLING; CONTEXT DEPENDENT; INFLUENCE PATTERNS; IT FUNCTIONS; NOTCH SIGNALING; NOTCH SIGNALING PATHWAYS; PATTERN FORMATION; SOMITOGENESIS;

SIGNALING;

IMMUNOGLOBULIN J RECOMBINATION SIGNAL SEQUENCE BINDING PROTEIN; NOTCH RECEPTOR; NOTCH1 RECEPTOR; TRANSCRIPTION FACTOR HES 1; BASIC HELIX LOOP HELIX TRANSCRIPTION FACTOR; HOMEODOMAIN PROTEIN; REPRESSOR PROTEIN; TRANSCRIPTION FACTOR;

AMINO ACID SEQUENCE; ARTICLE; MATHEMATICAL ANALYSIS; PROTEIN EXPRESSION; QUALITATIVE ANALYSIS; STOCHASTIC MODEL; BIOLOGICAL MODEL; BIOLOGY; COMPUTER SIMULATION; GENE REGULATORY NETWORK; GENETIC TRANSCRIPTION; GENETICS; METABOLISM; PROMOTER REGION; SIGNAL TRANSDUCTION; STATISTICS;

BASIC HELIX-LOOP-HELIX TRANSCRIPTION FACTORS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; GENE REGULATORY NETWORKS; HOMEODOMAIN PROTEINS; IMMUNOGLOBULIN J RECOMBINATION SIGNAL SEQUENCE-BINDING PROTEIN; MODELS, GENETIC; PROMOTER REGIONS, GENETIC; RECEPTOR, NOTCH1; REPRESSOR PROTEINS; SIGNAL TRANSDUCTION; STOCHASTIC PROCESSES; TRANSCRIPTION FACTORS; TRANSCRIPTION, GENETIC;

EID: 67049134207     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000390     Document Type: Article

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