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Modeling Intercellular Communication as a Survival Strategy of Cancer Cells: An In Silico Approach on a Flexible Bioinformatics Framework.
Cárdenas-García, Maura; González-Pérez, Pedro P; Montagna, Sara; Cortés, Oscar Sánchez; Caballero, Elena Hernández.
Afiliação
  • Cárdenas-García M; Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, Puebla, México.
  • González-Pérez PP; Departamento de Matemáticas Aplicadas y Sistemas, Universidad Autónoma Metropolitana, Ciudad de México, México.
  • Montagna S; Dipartimento di Informatica - Scienza e Ingegneria, Università degli Studi di Bologna, Bologna, Italia.
  • Cortés OS; Departamento de Matemáticas Aplicadas y Sistemas, Universidad Autónoma Metropolitana, Ciudad de México, México.
  • Caballero EH; Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, Puebla, México.
Bioinform Biol Insights ; 10: 5-18, 2016.
Article em En | MEDLINE | ID: mdl-26997867
ABSTRACT
Intercellular communication is very important for cell development and allows a group of cells to survive as a population. Cancer cells have a similar behavior, presenting the same mechanisms and characteristics of tissue formation. In this article, we model and simulate the formation of different communication channels that allow an interaction between two cells. This is a first step in order to simulate in the future processes that occur in healthy tissue when normal cells surround a cancer cell and to interrupt the communication, thus preventing the spread of malignancy into these cells. The purpose of this study is to propose key molecules, which can be targeted to allow us to break the communication between cancer cells and surrounding normal cells. The simulation is carried out using a flexible bioinformatics platform that we developed, which is itself based on the metaphor chemistry-based model.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article