Computational models to explore the complexity of the epithelial to mesenchymal transition in cancer.

Cortesi, Marilisa; Liverani, Chiara; Mercatali, Laura; Ibrahim, Toni; Giordano, Emanuele

Cortesi, Marilisa; Liverani, Chiara; Mercatali, Laura; Ibrahim, Toni; Giordano, Emanuele.

Afiliación

Cortesi M; Laboratory of Cellular and Molecular Engineering "S. Cavalcanti", Department of Electrical, Electronic and Information Engineering "G. Marconi" (DEI), Alma Mater Studiorum - University of Bologna, Cesena, Italy.
Liverani C; Osteoncology and Rare Tumors Center, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Mercatali L; Osteoncology and Rare Tumors Center, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Ibrahim T; Osteoncology and Rare Tumors Center, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy.
Giordano E; Laboratory of Cellular and Molecular Engineering "S. Cavalcanti", Department of Electrical, Electronic and Information Engineering "G. Marconi" (DEI), Alma Mater Studiorum - University of Bologna, Cesena, Italy.

Wiley Interdiscip Rev Syst Biol Med ; 12(6): e1488, 2020 11.

Article en En | MEDLINE | ID: mdl-32208556

Asunto(s)

Transición Epitelial-Mesenquimal; Modelos Biológicos; Neoplasias/patología; Transición Epitelial-Mesenquimal/genética; Regulación Neoplásica de la Expresión Génica; Humanos; Neoplasias/metabolismo; Transducción de Señal

Palabras clave

cancer; computational modeling; epithelial to mesenchymal transition

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Transición Epitelial-Mesenquimal / Modelos Biológicos / Neoplasias Límite: Humans Idioma: En Revista: Wiley Interdiscip Rev Syst Biol Med Asunto de la revista: BIOLOGIA / BIOTECNOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Italia

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