Understanding experimental LCMV infection of mice: the role of mathematical models
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- dc.contributor.author Bocharov, Gennady A.ca
- dc.contributor.author Argilaguet Marqués, Jordi, 1977-ca
- dc.contributor.author Meyerhans, Andreasca
- dc.date.accessioned 2016-02-03T13:22:47Z
- dc.date.available 2016-02-03T13:22:47Z
- dc.date.issued 2015
- dc.description.abstract Virus infections represent complex biological systems governed by multiple-level regulatory processes of virus replication and host immune responses. Understanding of the infection means an ability to predict the systems behaviour under various conditions. Such predictions can only rely upon quantitative mathematical models. The model formulations should be tightly linked to a fundamental step called "coordinatization" (Hermann Weyl), that is, the definition of observables, parameters, and structures that enable the link with a biological phenotype. In this review, we analyse the mathematical modelling approaches to LCMV infection in mice that resulted in quantification of some fundamental parameters of the CTL-mediated virus control including the rates of T cell turnover, infected target cell elimination, and precursor frequencies. We show how the modelling approaches can be implemented to address diverse aspects of immune system functioning under normal conditions and in response to LCMV and, importantly, make quantitative predictions of the outcomes of immune system perturbations. This may highlight the notion that data-driven applications of meaningful mathematical models in infection biology remain a challenge.ca
- dc.description.sponsorship The authors are supported by Grants nos. 15-11-00029 (to Gennady Bocharov and in part Andreas Meyerhans) from the Russian Science Foundation and SAF2013-46077-R (to Andreas Meyerhans and Jordi Argilaguet) from the Spanish Ministry of Economy and Competitiveness and FEDER.
- dc.format.mimetype application/pdfca
- dc.identifier.citation Bocharov G, Argilaguet J, Meyerhans A. Understanding experimental LCMV infection of mice: the role of mathematical models. Journal of immunology research. 2015;2015:739706. DOI: 10.1155/2015/739706ca
- dc.identifier.doi http://dx.doi.org/10.1155/2015/739706
- dc.identifier.issn 2314-7156
- dc.identifier.uri http://hdl.handle.net/10230/25725
- dc.language.iso engca
- dc.publisher Hindawica
- dc.relation.ispartof Journal of immunology research. 2015;2015:739706
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/SAF2013-46077
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/SAF2013-46077-R
- dc.rights © 2015 Gennady Bocharov et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.ca
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.rights.uri http://creativecommons.org/licenses/by/3.0/ca
- dc.subject.other Ratolins (Animals de laboratori)ca
- dc.subject.other Sistema immunològicca
- dc.title Understanding experimental LCMV infection of mice: the role of mathematical modelsca
- dc.type info:eu-repo/semantics/articleca
- dc.type.version info:eu-repo/semantics/publishedVersionca