Quantifying rotavirus kinetics in the REH tumor cell line using in vitro data

Globally, rotavirus is the most common cause of diarrhea in children younger than 5 years of age, however, a quantitative understanding of the infection dynamics is still lacking. In this paper, we present the first study to extract viral kinetic parameters for in vitro rotavirus infections in the R...

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Autores:
Gonzalez-Parra, Gilberto
Dobrovolny, Hana
Aranda Lozano, Diego Fernando
Chen-Charpentier, Benito
Guerrero Rojas, Rafael Antonio
Tipo de recurso:
Article of journal
Fecha de publicación:
2018
Institución:
Universidad El Bosque
Repositorio:
Repositorio U. El Bosque
Idioma:
eng
por
OAI Identifier:
oai:repositorio.unbosque.edu.co:20.500.12495/3409
Acceso en línea:
http://hdl.handle.net/20.500.12495/3409
https://doi.org/10.1016/j.virusres.2017.09.023
https://repositorio.unbosque.edu.co
Palabra clave:
Antígenos
Linfocitos B
Modelos biológicos
Rotavirus
Mathematical model
Oncolytic virus
Rights
openAccess
License
Acceso abierto
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network_acronym_str UNBOSQUE2
network_name_str Repositorio U. El Bosque
repository_id_str
dc.title.spa.fl_str_mv Quantifying rotavirus kinetics in the REH tumor cell line using in vitro data
dc.title.translated.spa.fl_str_mv Quantifying rotavirus kinetics in the REH tumor cell line using in vitro data
title Quantifying rotavirus kinetics in the REH tumor cell line using in vitro data
spellingShingle Quantifying rotavirus kinetics in the REH tumor cell line using in vitro data
Antígenos
Linfocitos B
Modelos biológicos
Rotavirus
Mathematical model
Oncolytic virus
title_short Quantifying rotavirus kinetics in the REH tumor cell line using in vitro data
title_full Quantifying rotavirus kinetics in the REH tumor cell line using in vitro data
title_fullStr Quantifying rotavirus kinetics in the REH tumor cell line using in vitro data
title_full_unstemmed Quantifying rotavirus kinetics in the REH tumor cell line using in vitro data
title_sort Quantifying rotavirus kinetics in the REH tumor cell line using in vitro data
dc.creator.fl_str_mv Gonzalez-Parra, Gilberto
Dobrovolny, Hana
Aranda Lozano, Diego Fernando
Chen-Charpentier, Benito
Guerrero Rojas, Rafael Antonio
dc.contributor.author.none.fl_str_mv Gonzalez-Parra, Gilberto
Dobrovolny, Hana
Aranda Lozano, Diego Fernando
Chen-Charpentier, Benito
Guerrero Rojas, Rafael Antonio
dc.contributor.orcid.none.fl_str_mv Guerrero Rojas, Rafael Antonio [0000-0001-8755-3385]
Guerrero Rojas, Rafael Antonio [0000-0001-8755-3385]
dc.subject.decs.spa.fl_str_mv Antígenos
Linfocitos B
Modelos biológicos
topic Antígenos
Linfocitos B
Modelos biológicos
Rotavirus
Mathematical model
Oncolytic virus
dc.subject.keywords.spa.fl_str_mv Rotavirus
Mathematical model
Oncolytic virus
description Globally, rotavirus is the most common cause of diarrhea in children younger than 5 years of age, however, a quantitative understanding of the infection dynamics is still lacking. In this paper, we present the first study to extract viral kinetic parameters for in vitro rotavirus infections in the REH cell tumor line. We use a mathematical model of viral kinetics to extract parameter values by fitting the model to data from rotavirus infection of REH cells. While accurate results for some of the parameters of the mathematical model were not achievable due to its global non-identifiability, we are able to quantify approximately the time course of the infection for the first time. We also find that the basic reproductive number of rotavirus, which gives the number of secondary infections from a single infected cell, is much greater than one. Quantifying the kinetics of rotavirus leads not only to a better understanding of the infection process, but also provides a method for quantitative comparison of kinetics of different strains or for quantifying the effectiveness of antiviral treatment.
publishDate 2018
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2020-07-10T14:55:31Z
dc.date.available.none.fl_str_mv 2020-07-10T14:55:31Z
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dc.type.local.none.fl_str_mv Artículo de revista
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dc.identifier.issn.none.fl_str_mv 0168-1702
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12495/3409
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.virusres.2017.09.023
dc.identifier.instname.spa.fl_str_mv instname:Universidad El Bosque
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional Universidad El Bosque
dc.identifier.repourl.none.fl_str_mv https://repositorio.unbosque.edu.co
identifier_str_mv 0168-1702
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reponame:Repositorio Institucional Universidad El Bosque
url http://hdl.handle.net/20.500.12495/3409
https://doi.org/10.1016/j.virusres.2017.09.023
https://repositorio.unbosque.edu.co
dc.language.iso.none.fl_str_mv eng
por
language eng
por
dc.relation.ispartofseries.spa.fl_str_mv Virus Research, 0168-1702, Vol. 244, 2018, p. 53-63
dc.relation.uri.none.fl_str_mv https://www.sciencedirect.com/science/article/abs/pii/S0168170216307699?via%3Dihub
dc.rights.local.spa.fl_str_mv Acceso abierto
dc.rights.accessrights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
Acceso abierto
dc.rights.creativecommons.none.fl_str_mv 2018-01-15
rights_invalid_str_mv Acceso abierto
http://purl.org/coar/access_right/c_abf2
2018-01-15
eu_rights_str_mv openAccess
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Elsevier
dc.publisher.journal.spa.fl_str_mv Virus Research
institution Universidad El Bosque
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spelling Gonzalez-Parra, GilbertoDobrovolny, HanaAranda Lozano, Diego FernandoChen-Charpentier, BenitoGuerrero Rojas, Rafael AntonioGuerrero Rojas, Rafael Antonio [0000-0001-8755-3385]Guerrero Rojas, Rafael Antonio [0000-0001-8755-3385]2020-07-10T14:55:31Z2020-07-10T14:55:31Z20180168-1702http://hdl.handle.net/20.500.12495/3409https://doi.org/10.1016/j.virusres.2017.09.023instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquehttps://repositorio.unbosque.edu.coapplication/pdfengporElsevierVirus ResearchVirus Research, 0168-1702, Vol. 244, 2018, p. 53-63https://www.sciencedirect.com/science/article/abs/pii/S0168170216307699?via%3DihubQuantifying rotavirus kinetics in the REH tumor cell line using in vitro dataQuantifying rotavirus kinetics in the REH tumor cell line using in vitro dataArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85AntígenosLinfocitos BModelos biológicosRotavirusMathematical modelOncolytic virusGlobally, rotavirus is the most common cause of diarrhea in children younger than 5 years of age, however, a quantitative understanding of the infection dynamics is still lacking. In this paper, we present the first study to extract viral kinetic parameters for in vitro rotavirus infections in the REH cell tumor line. We use a mathematical model of viral kinetics to extract parameter values by fitting the model to data from rotavirus infection of REH cells. While accurate results for some of the parameters of the mathematical model were not achievable due to its global non-identifiability, we are able to quantify approximately the time course of the infection for the first time. We also find that the basic reproductive number of rotavirus, which gives the number of secondary infections from a single infected cell, is much greater than one. Quantifying the kinetics of rotavirus leads not only to a better understanding of the infection process, but also provides a method for quantitative comparison of kinetics of different strains or for quantifying the effectiveness of antiviral treatment.Acceso abiertohttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessAcceso abierto2018-01-15ORIGINALGonzález-Parra, G., Dobrovolny, H.M.. Aranda, D.F_2018.pdfGonzález-Parra, G., Dobrovolny, H.M.. Aranda, D.F_2018.pdfapplication/pdf1446555https://repositorio.unbosque.edu.co/bitstreams/81a771fd-1c40-4654-bafd-be1edab20c34/download0b377888095670dec7de505e269c7172MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.unbosque.edu.co/bitstreams/c45a6620-dbbc-4f95-8934-9d58b34a3cc8/download8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILGonzález-Parra, G., Dobrovolny, H.M.. Aranda, D.F_2018.pdf.jpgGonzález-Parra, G., Dobrovolny, H.M.. 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