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...
- 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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oai:repositorio.unbosque.edu.co:20.500.12495/3409 |
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UNBOSQUE2 |
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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 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.local.none.fl_str_mv |
Artículo de revista |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
format |
http://purl.org/coar/resource_type/c_6501 |
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 instname:Universidad El Bosque 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 |
bitstream.url.fl_str_mv |
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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.. Aranda, D.F_2018.pdf.jpgimage/jpeg5775https://repositorio.unbosque.edu.co/bitstreams/d21aa7c7-8f3d-4e1f-985c-14f787f78f36/download7210a811635d1799e7c05fee5d259be7MD53González-Parra, G., Dobrovolny, H.M.. Aranda, D.F_2018.pdf.jpgGonzález-Parra, G., Dobrovolny, H.M.. Aranda, D.F_2018.pdf.jpgIM Thumbnailimage/jpeg12229https://repositorio.unbosque.edu.co/bitstreams/a9a51602-5ae5-439e-875a-89bec48f1d01/downloadda2b0f105b7eb560f879429307eb4308MD54TEXTGonzález-Parra, G., Dobrovolny, H.M.. Aranda, D.F_2018.pdf.txtGonzález-Parra, G., Dobrovolny, H.M.. 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