Computational modelling of smadmediated negative feedback and crosstalk in the TGF-β superfamily network

Journal of the Royal Society Interface

Volumn 10, Issue 86, 2013, Pages

  Nicklas, Daniel ^a   Saiz, Leonor ^a  

^a University of California   (United States)

Author keywords

Computational modelling of signalling pathways; Coupled signalling and crosstalk; Negative feedback loop; Signal transduction; Transforming growth factor signal transduction pathway; Transforming growth factor superfamily network

Indexed keywords

CELL DEATH; COMPUTATIONAL METHODS; CROSSTALK; DYNAMICS; ENDOTHELIAL CELLS; MAMMALS; SIGNAL TRANSDUCTION;

BOVINE AORTIC ENDOTHELIAL CELLS; COMPUTATIONAL MODELLING; NEGATIVE FEEDBACK LOOP; NUCLEO-CYTOPLASMIC SHUTTLING; PROLIFERATION AND APOPTOSIS; SIGNAL TRANSDUCTION PATHWAYS; SIGNALLING PATHWAYS; TRANSFORMING GROWTH FACTORS;

ENZYME INHIBITION;

SMAD PROTEIN; SMAD1 PROTEIN; SMAD2 PROTEIN; SMAD3 PROTEIN; SMAD5 PROTEIN; SMAD7 PROTEIN; SMAD8 PROTEIN; TRANSFORMING GROWTH FACTOR BETA; RECEPTOR REGULATED SMAD PROTEIN;

ARTICLE; CELL LINE; COMPLEX FORMATION; ENDOTHELIUM CELL; HUMAN; KERATINOCYTE; MATHEMATICAL MODEL; MESENCHYME CELL; NEGATIVE FEEDBACK; NONHUMAN; OLIGOMERIZATION; SENSITIVITY ANALYSIS; ACTIVE TRANSPORT; ANIMAL; AORTA; BIOLOGICAL MODEL; BOVINAE; CELL NUCLEUS; COMPUTER SIMULATION; CYTOLOGY; METABOLISM; MOUSE; PHYSIOLOGY; SIGNAL TRANSDUCTION; CATTLE; COMPUTATIONAL MODELLING OF SIGNALLING PATHWAYS; COUPLED SIGNALLING AND CROSSTALK; NEGATIVE FEEDBACK LOOP; TRANSFORMING GROWTH FACTOR-Β SIGNAL TRANSDUCTION PATHWAY; TRANSFORMING GROWTH FACTOR-Β SUPERFAMILY NETWORK;

ACTIVE TRANSPORT, CELL NUCLEUS; ANIMALS; AORTA; CATTLE; CELL NUCLEUS; COMPUTER SIMULATION; ENDOTHELIAL CELLS; HUMANS; KERATINOCYTES; MICE; MODELS, BIOLOGICAL; SIGNAL TRANSDUCTION; SMAD PROTEINS, RECEPTOR-REGULATED; TRANSFORMING GROWTH FACTOR BETA;

COMPUTATIONAL MODELLING OF SIGNALLING PATHWAYS; COUPLED SIGNALLING AND CROSSTALK; NEGATIVE FEEDBACK LOOP; SIGNAL TRANSDUCTION; TRANSFORMING GROWTH FACTOR-Β SIGNAL TRANSDUCTION PATHWAY; TRANSFORMING GROWTH FACTOR-Β SUPERFAMILY NETWORK;

EID: 84880772249     PISSN: 17425689     EISSN: 17425662     Source Type: Journal    
DOI: 10.1098/rsif.2013.0363     Document Type: Article

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