Lessons and perspectives for applications of stochastic models in biological and cancer research
AUTOR(ES)
Sabino, Alan U., Vasconcelos, Miguel FS, Sittoni, Misaki Yamada, Lautenschlager, Willian W., Queiroga, Alexandre S., Morais, Mauro CC, Ramos, Alexandre F.
FONTE
Clinics
DATA DE PUBLICAÇÃO
21/09/2018
RESUMO
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.
Documentos Relacionados
- Taurine: Biological Actions and Clinical Perspectives. (Progress in Clinical and Biological Research Volume 179).
- Applications of microarray technology in breast cancer research
- Breast Cancer. Progress in Clinical and Biological Research
- Animal models in biological and biomedical research - experimental and ethical concerns
- Stochastic and mesoscopic models for tropical convection