Autocrine TGF-β/ZEB/microRNA-200 signal transduction drives epithelial-mesenchymal transition: Kinetic models predict minimal drug dose to inhibit metastasis

Cellular Signalling

Volumn 28, Issue 8, 2016, Pages 861-870

  Rateitschak, Katja ^a,b   Kaderali, Lars ^b   Wolkenhauer, Olaf ^a,c   Jaster, Robert ^d  

^a UNIVERSITY OF ROSTOCK   (Germany)

^b UNIVERSITY MEDICINE GREIFSWALD   (Germany)

^c STELLENBOSCH UNIVERSITY   (South Africa)

^d ROSTOCK UNIVERSITY MEDICAL CENTER   (Germany)

Author keywords

Design of experiments; Epithelial mesenchymal transition; Interaction between ZEB and microRNA 200; Kinetic model; Metastasis inhibition

Indexed keywords

MESSENGER RNA; MICRORNA 200; MICRORNA 200C; TRANSCRIPTION FACTOR; TRANSCRIPTION FACTOR ZEB; TRANSCRIPTION FACTOR ZEB1; TRANSCRIPTION FACTOR ZEB2; TRANSFORMING GROWTH FACTOR BETA; UNCLASSIFIED DRUG; 1,3 BENZODIOXOLE DERIVATIVE; 2-(5-BENZO(1,3)DIOXOL-5-YL-2-TERT-BUTYL-3H-IMIDAZOL-4-YL)-6-METHYLPYRIDINE HYDROCHLORIDE; IMIDAZOLE DERIVATIVE; MICRORNA; PROTEIN SERINE THREONINE KINASE; PYRIDINE DERIVATIVE; TGF-BETA TYPE I RECEPTOR; TRANSFORMING GROWTH FACTOR BETA RECEPTOR;

ARTICLE; AUTOCRINE EFFECT; CANCER THERAPY; DISTANT METASTASIS; EPITHELIAL MESENCHYMAL TRANSITION; GENE REPRESSION; MATHEMATICAL MODEL; MDCK CELL LINE; METASTASIS INHIBITION; PRIORITY JOURNAL; RNA DEGRADATION; SIGNAL TRANSDUCTION; SIMULATION; STEADY STATE; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; DOG; DOSE RESPONSE; DRUG EFFECTS; GENE REGULATORY NETWORK; GENETICS; KINETICS; METABOLISM; METASTASIS; REPRODUCIBILITY;

ANIMALS; AUTOCRINE COMMUNICATION; BENZODIOXOLES; COMPUTER SIMULATION; DOGS; DOSE-RESPONSE RELATIONSHIP, DRUG; EPITHELIAL-MESENCHYMAL TRANSITION; GENE REGULATORY NETWORKS; IMIDAZOLES; KINETICS; MADIN DARBY CANINE KIDNEY CELLS; MICRORNAS; MODELS, BIOLOGICAL; NEOPLASM METASTASIS; PROTEIN-SERINE-THREONINE KINASES; PYRIDINES; RECEPTORS, TRANSFORMING GROWTH FACTOR BETA; REPRODUCIBILITY OF RESULTS; SIGNAL TRANSDUCTION; TRANSFORMING GROWTH FACTOR BETA; ZINC FINGER E-BOX-BINDING HOMEOBOX 1;

EID: 84966373382     PISSN: 08986568     EISSN: 18733913     Source Type: Journal    
DOI: 10.1016/j.cellsig.2016.03.002     Document Type: Article

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