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dc.contributor.authorMartínez de la Fuente Martínez, Ildefonso Abel
dc.contributor.authorBringas, Carlos
dc.contributor.authorMalaina Celada, Iker ORCID
dc.contributor.authorRegner, Benjamin
dc.contributor.authorPérez Samartín, Alberto Luis ORCID
dc.contributor.authorBoyano López, María Dolores ORCID
dc.contributor.authorFedetz, María
dc.contributor.authorLópez, Jose I.
dc.contributor.authorPérez-Yarza Pérez-Irezabal, Gorka ORCID
dc.contributor.authorCortés, Jesús M.
dc.contributor.authorSejnowski, Terrence
dc.date.accessioned2020-02-03T12:51:52Z
dc.date.available2020-02-03T12:51:52Z
dc.date.issued2019-11-08
dc.identifier.citationScientific Reports 9 : (2019) // Article ID 16369es_ES
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/10810/39974
dc.description.abstractFor a wide range of cells, from bacteria to mammals, locomotion movements are a crucial systemic behavior for cellular life. Despite its importance in a plethora of fundamental physiological processes and human pathologies, how unicellular organisms efficiently regulate their locomotion system is an unresolved question. Here, to understand the dynamic characteristics of the locomotion movements and to quantitatively study the role of the nucleus in the migration of Amoeba proteus we have analyzed the movement trajectories of enucleated and non-enucleated amoebas on flat two-dimensional (2D) surfaces using advanced non-linear physical-mathematical tools and computational methods. Our analysis shows that both non-enucleated and enucleated amoebas display the same kind of dynamic migration structure characterized by highly organized data sequences, super-diffusion, non-trivial long-range positive correlations, persistent dynamics with trend-reinforcing behavior, and move-step fluctuations with scale invariant properties. Our results suggest that the presence of the nucleus does not significantly affect the locomotion of amoeba in 2D environments.es_ES
dc.description.sponsorshipWe would like to thank Jose Gonzalez Romero and Jose Miguel Perez Perez from the Institute of Parasitology and Biomedicine "Lopez-Neyra" for their technical assistance, as well as the technical support provided by SGIker of UPV/EHU, European funding (ERDF and ESF), the Basque Government funding (IT1974-16, KK-2018/00090), and by the UPV/EHU and Basque Center of Applied Mathematics (US18/21).es_ES
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectenucleated cellses_ES
dc.subjecttime-serieses_ES
dc.subjectmechanicses_ES
dc.subjectdynamicses_ES
dc.subjectmotilityes_ES
dc.subjectbehaviores_ES
dc.subjectnetworkes_ES
dc.subjectmotiones_ES
dc.titleThe nucleus does not significantly affect the migratory trajectories of amoeba in two-dimensional environmentses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://www.nature.com/articles/s41598-019-52716-2#rightslinkes_ES
dc.identifier.doi10.1038/s41598-019-52716-2
dc.departamentoesBiología celular e histologíaes_ES
dc.departamentoesMatemática Aplicada, Estadística e Investigación Operativaes_ES
dc.departamentoesNeurocienciases_ES
dc.departamentoeuBiologia zelularra eta morfologia zientziakes_ES
dc.departamentoeuMatematika aplikatua eta estatistikaes_ES
dc.departamentoeuNeurozientziakes_ES


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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Except where otherwise noted, this item's license is described as This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.