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dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP
dc.contributor.authorSABINO, Alan U.
dc.contributor.authorVASCONCELOS, Miguel Fs
dc.contributor.authorSITTONI, Misaki Yamada
dc.contributor.authorLAUTENSCHLAGER, Willian W.
dc.contributor.authorQUEIROGA, Alexandre S.
dc.contributor.authorMORAIS, Mauro Cc
dc.contributor.authorRAMOS, Alexandre F.
dc.date.accessioned2018-11-21T17:09:08Z
dc.date.available2018-11-21T17:09:08Z
dc.date.issued2018
dc.identifier.citationCLINICS, v.73, suppl.1, article ID UNSP e536s, 8p, 2018
dc.identifier.issn1807-5932
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/29636
dc.description.abstractThe 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.
dc.description.sponsorshipCAPES [88881.062174/2014-01]
dc.description.sponsorshipPET program of the Ministry of Education of Brazil
dc.description.sponsorshipCAPES Programa de Pos-graduacao em Oncologia of Faculdade de Medicina, Universidade de Sao Paulo
dc.language.isoeng
dc.publisherHOSPITAL CLINICAS, UNIV SAO PAULO
dc.relation.ispartofClinics
dc.rightsopenAccess
dc.subjectMarkov Chains
dc.subjectModels
dc.subjectTheoretical
dc.subjectStochastic Processes
dc.subjectRegulation
dc.subjectGene Expression
dc.subjectContact Inhibition
dc.subject.othergene-expression noise
dc.subject.otherlinear-quadratic model
dc.subject.othercontact inhibition
dc.subject.othersingle-cell
dc.subject.othertranscriptional activity
dc.subject.otherdevelopmental gene
dc.subject.othermelanoma-cells
dc.subject.othernetworks
dc.subject.othersurvival
dc.subject.othergrowth
dc.titleLessons and perspectives for applications of stochastic models in biological and cancer research
dc.typearticle
dc.rights.holderCopyright HOSPITAL CLINICAS, UNIV SAO PAULO
dc.identifier.doi10.6061/clinics/2018/e536s
dc.identifier.pmid30281699
dc.subject.wosMedicine, General & Internal
dc.type.categoryreview
dc.type.versionpublishedVersion
hcfmusp.author.externalLAUTENSCHLAGER, Willian W.:Univ Sao Paulo, EACH, Sao Paulo, SP, Brazil
hcfmusp.description.articlenumberUNSP e536s
hcfmusp.description.issuesuppl 1
hcfmusp.description.volume73
hcfmusp.origemWOS
hcfmusp.origem.idWOS:000684065500022
hcfmusp.origem.id2-s2.0-85054435054
hcfmusp.origem.idSCIELO:S1807-59322018000200322
hcfmusp.publisher.citySAO PAULO
hcfmusp.publisher.countryBRAZIL
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dc.description.indexMEDLINE
dc.identifier.eissn1980-5322
hcfmusp.citation.scopus2
hcfmusp.scopus.lastupdate2022-06-16
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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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