A computational model of cardiac fibroblast signaling predicts context-dependent drivers of myofibroblast differentiation

Journal of Molecular and Cellular Cardiology

Volumn 94, Issue , 2016, Pages 72-81

  Zeigler, A C ^a   Richardson, W J ^a   Holmes, J W ^a   Saucerman, J J ^a  

^a University of Virginia   (United States)

Author keywords

Cardiac fibrosis; Fibroblast; Signaling networks; Systems biology

Indexed keywords

ALPHA SMOOTH MUSCLE ACTIN; REACTIVE OXYGEN METABOLITE; TRANSFORMING GROWTH FACTOR BETA RECEPTOR; TRANSFORMING GROWTH FACTOR BETA;

ANIMAL CELL; ANIMAL EXPERIMENT; ANIMAL TISSUE; ARTICLE; CELL DIFFERENTIATION; CELL STIMULATION; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; EXPERIMENTAL STUDY; EXTRACELLULAR MATRIX; HEART FIBROBLAST; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MECHANOTRANSDUCTION; MYOFIBROBLAST; NONHUMAN; PREDICTION; PRIORITY JOURNAL; PROTEIN FUNCTION; PROTEIN PROTEIN INTERACTION; RAT; REGULATORY MECHANISM; SIGNAL TRANSDUCTION; STRUCTURE ANALYSIS; VALIDATION STUDY; ANIMAL; BIOLOGICAL MODEL; BIOLOGY; CELL CULTURE; COMPUTER SIMULATION; CYTOLOGY; GENE EXPRESSION PROFILING; HUMAN; METABOLISM; PROCEDURES;

ANIMALS; CELL DIFFERENTIATION; CELLS, CULTURED; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; HUMANS; MODELS, BIOLOGICAL; MYOFIBROBLASTS; SIGNAL TRANSDUCTION; TRANSFORMING GROWTH FACTOR BETA;

EID: 84962711118     PISSN: 00222828     EISSN: 10958584     Source Type: Journal    
DOI: 10.1016/j.yjmcc.2016.03.008     Document Type: Article

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