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dc.contributor.authorArgilaguet, Jordi
dc.contributor.authorPedragosa, Mireia
dc.contributor.authorEsteve-Codina, Anna
dc.contributor.authorRiera, Graciela
dc.contributor.authorVidal, Enric
dc.contributor.authorPeligero-Cruz, Cristina
dc.contributor.authorCasella, Valentina
dc.contributor.authorAndreu, David
dc.contributor.authorKaisho, Tsuneyasu
dc.contributor.authorBocharov, Gennady
dc.contributor.authorLudewig, Burkhard
dc.contributor.authorHeath, Simon
dc.contributor.authorMeyerhans, Andreas
dc.contributor.otherProducció Animalca
dc.date.accessioned2020-04-20T10:09:59Z
dc.date.available2020-04-20T10:09:59Z
dc.date.issued2019-05-28
dc.identifier.citationArgilaguet, Jordi, Mireia Pedragosa, Anna Esteve-Codina, Graciela Riera, Enric Vidal, Cristina Peligero-Cruz, and Valentina Casella et al. 2019. "Systems Analysis Reveals Complex Biological Processes During Virus Infection Fate Decisions". Genome Research 29 (6): 907-919. Cold Spring Harbor Laboratory. doi:10.1101/gr.241372.118.ca
dc.identifier.issn1088-9051ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/702
dc.description.abstractThe processes and mechanisms of virus infection fate decisions that are the result of a dynamic virus-immune system interaction with either an efficient effector response and virus elimination or an alleviated immune response and chronic infection are poorly understood. Here we characterized the host response to acute and chronic lymphocytic choriomeningitis virus (LCMV) infections by gene coexpression network analysis of time-resolved splenic transcriptomes. We found first, an early attenuation of inflammatory monocyte/macrophage prior to the onset of T cell exhaustion and second, a critical role of the XCL1-XCR1 communication axis during the functional adaptation of the T cell response to the chronic infection state. These findings not only reveal an important feedback mechanism that couples T cell exhaustion with the maintenance of a lower level of effector T cell response but also suggest therapy options to better control virus levels during the chronic infection phase.ca
dc.format.extent13ca
dc.language.isoengca
dc.publisherCold Spring Harbor Laboratory Pressca
dc.relation.ispartofGenome Researchca
dc.rightsAttribution-NonCommercial 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleSystems analysis reveals complex biological processes during virus infection fate decisionsca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.terms6 mesosca
dc.relation.projectIDMINECO-FEDER/Programa Estatal de I+D+I orientada a los retos de la sociedad/SAF2016-75505-R/ES/Respuesta frente a infecciones virales: mecanismos reguladores subyacentes y estrategias terapéuticas de intervención/ca
dc.subject.udc619ca
dc.identifier.doihttp://www.genome.org/cgi/doi/10.1101/gr.241372.118ca
dc.contributor.groupSanitat Animalca


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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc/4.0/