Lessons and perspectives for applications of stochastic models in biological and cancer research
Clinics
;
73(supl.1): e536s, 2018. tab, graf
Artículo
en Inglés
| LILACS
| ID: biblio-952833
ABSTRACT
The effects of randomness, an unavoidable feature of intracellular environments, are observed at higher hierarchical levels of living matter organization, such as cells, tissues, and organisms. Additionally, the many compounds interacting as a well-orchestrated network of reactions increase the difficulties of assessing these systems using only experiments. This limitation indicates that elucidation of the dynamics of biological systems is a complex task that will benefit from the establishment of principles to help describe, categorize, and predict the behavior of these systems. The theoretical machinery already available, or ones to be discovered to help solve biological problems, might play an important role in these processes. Here, we demonstrate the application of theoretical tools by discussing some biological problems that we have approached mathematically fluctuations in gene expression and cell proliferation in the context of loss of contact inhibition. We discuss the methods that have been employed to provide the reader with a biologically motivated phenomenological perspective of the use of theoretical methods. Finally, we end this review with a discussion of new research perspectives motivated by our results.
Texto completo:
Disponible
Índice:
LILACS (Américas)
Asunto principal:
Regulación Neoplásica de la Expresión Génica
/
Procesos Estocásticos
/
Modelos Biológicos
/
Neoplasias
Tipo de estudio:
Estudio pronóstico
/
Investigación cualitativa
Límite:
Humanos
Idioma:
Inglés
Revista:
Clinics
Asunto de la revista:
Medicina
Año:
2018
Tipo del documento:
Artículo
País de afiliación:
Brasil
Institución/País de afiliación:
Universidade de Sao Paulo/BR
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