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Lessons and perspectives for applications of stochastic models in biological and cancer research
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 diff...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6131223/ https://www.ncbi.nlm.nih.gov/pubmed/30281699 http://dx.doi.org/10.6061/clinics/2018/e536s |
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author | Sabino, Alan U Vasconcelos, Miguel FS Sittoni, Misaki Yamada Lautenschlager, Willian W Queiroga, Alexandre S Morais, Mauro CC Ramos, Alexandre F |
author_facet | Sabino, Alan U Vasconcelos, Miguel FS Sittoni, Misaki Yamada Lautenschlager, Willian W Queiroga, Alexandre S Morais, Mauro CC Ramos, Alexandre F |
author_sort | Sabino, Alan U |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6131223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo |
record_format | MEDLINE/PubMed |
spelling | pubmed-61312232018-09-12 Lessons and perspectives for applications of stochastic models in biological and cancer research Sabino, Alan U Vasconcelos, Miguel FS Sittoni, Misaki Yamada Lautenschlager, Willian W Queiroga, Alexandre S Morais, Mauro CC Ramos, Alexandre F Clinics (Sao Paulo) Review Article 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. Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo 2018-09-11 2018 /pmc/articles/PMC6131223/ /pubmed/30281699 http://dx.doi.org/10.6061/clinics/2018/e536s Text en Copyright © 2018 CLINICS http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is properly cited. |
spellingShingle | Review Article Sabino, Alan U Vasconcelos, Miguel FS Sittoni, Misaki Yamada Lautenschlager, Willian W Queiroga, Alexandre S Morais, Mauro CC Ramos, Alexandre F Lessons and perspectives for applications of stochastic models in biological and cancer research |
title | Lessons and perspectives for applications of stochastic models in biological and cancer research |
title_full | Lessons and perspectives for applications of stochastic models in biological and cancer research |
title_fullStr | Lessons and perspectives for applications of stochastic models in biological and cancer research |
title_full_unstemmed | Lessons and perspectives for applications of stochastic models in biological and cancer research |
title_short | Lessons and perspectives for applications of stochastic models in biological and cancer research |
title_sort | lessons and perspectives for applications of stochastic models in biological and cancer research |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6131223/ https://www.ncbi.nlm.nih.gov/pubmed/30281699 http://dx.doi.org/10.6061/clinics/2018/e536s |
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