Please use this identifier to cite or link to this item: https://observatorio.fm.usp.br/handle/OPI/29636
Title: Lessons and perspectives for applications of stochastic models in biological and cancer research
Authors: SABINO, Alan U.VASCONCELOS, Miguel FsSITTONI, Misaki YamadaLAUTENSCHLAGER, Willian W.QUEIROGA, Alexandre S.MORAIS, Mauro CcRAMOS, Alexandre F.
Citation: CLINICS, v.73, suppl.1, article ID UNSP e536s, 8p, 2018
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.
Appears in Collections:

Artigos e Materiais de Revistas Científicas - HC/ICESP
Instituto do Câncer do Estado de São Paulo - HC/ICESP

Artigos e Materiais de Revistas Científicas - LIM/24
LIM/24 - Laboratório de Oncologia Experimental

Artigos e Materiais de Revistas Científicas - ODS/03
ODS/03 - Saúde e bem-estar


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