Application of a Mathematical Model for Production of Recombinant Antibody 14D9 by Nicotiana tabacum Cell Suspension Batch Culture

Autores
Marconi, Patricia Laura; Alvarez, Maria Alejandra; Klykov. S. P.; Kurakov, V. V.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
One of the bottlenecks in biopharming is the scalability and modeling of batch cultures at bench scale, largely because bioreactors and mathematical models were originally designed for microbe cultures. Thus, a mathematical model that acknowledges kinetic and growth processes, basic aspect of cell structure, and physiology and productivity is needed. We proposed to apply a new combination of structured and unstructured mathematical models for plant cell cultivation in a bioreactor.The mathematical model is based on the theory of energy-limited growth that allows precise evaluation of a cell population age structure into the bioreactor. We have scaledthe full antibody r14D9 expressed in N. tabacumcell suspension from a 225 mL-Erlenmeyer flask to 2L-bioreactor and applied the above mentioned mathematical model in order to estimate and predict the growth rate of cell cultures and the accumulation of the recombinant protein. Under the proposed model two inoculum sizes were used in order to obtain experimental data, specific growth rates and productivity, which allow the analysis of the predictions under different conditions.
Fil: Marconi, Patricia Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Ciencias y Tecnología "Dr. Cesar Milstein"; Argentina
Fil: Alvarez, Maria Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Ciencias y Tecnología "Dr. Cesar Milstein"; Argentina
Fil: Klykov. S. P.. PHARMAREGION; Rusia
Fil: Kurakov, V. V.. PHARMAREGION; Rusia
Materia
Catalytic Antibodies
Molecular Farming
Plant Bioreactor
Mathematical Model
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/4108
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/4108
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Application of a Mathematical Model for Production of Recombinant Antibody 14D9 by Nicotiana tabacum Cell Suspension Batch CultureMarconi, Patricia LauraAlvarez, Maria AlejandraKlykov. S. P.Kurakov, V. V.Catalytic AntibodiesMolecular FarmingPlant BioreactorMathematical Modelhttps://purl.org/becyt/ford/2.9https://purl.org/becyt/ford/2One of the bottlenecks in biopharming is the scalability and modeling of batch cultures at bench scale, largely because bioreactors and mathematical models were originally designed for microbe cultures. Thus, a mathematical model that acknowledges kinetic and growth processes, basic aspect of cell structure, and physiology and productivity is needed. We proposed to apply a new combination of structured and unstructured mathematical models for plant cell cultivation in a bioreactor.The mathematical model is based on the theory of energy-limited growth that allows precise evaluation of a cell population age structure into the bioreactor. We have scaledthe full antibody r14D9 expressed in N. tabacumcell suspension from a 225 mL-Erlenmeyer flask to 2L-bioreactor and applied the above mentioned mathematical model in order to estimate and predict the growth rate of cell cultures and the accumulation of the recombinant protein. Under the proposed model two inoculum sizes were used in order to obtain experimental data, specific growth rates and productivity, which allow the analysis of the predictions under different conditions.Fil: Marconi, Patricia Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Ciencias y Tecnología "Dr. Cesar Milstein"; ArgentinaFil: Alvarez, Maria Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Ciencias y Tecnología "Dr. Cesar Milstein"; ArgentinaFil: Klykov. S. P.. PHARMAREGION; RusiaFil: Kurakov, V. V.. PHARMAREGION; RusiaBioprocess International2014-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/4108Marconi, Patricia Laura; Alvarez, Maria Alejandra; Klykov. S. P.; Kurakov, V. V.; Application of a Mathematical Model for Production of Recombinant Antibody 14D9 by Nicotiana tabacum Cell Suspension Batch Culture; Bioprocess International; Bioprocess; 12; 1; 1-2014; 42-491542-6319enginfo:eu-repo/semantics/altIdentifier/url/http://www.bioprocessintl.com/upstream-processing/assays/mathematical-model-for-production-of-recombinant-antibody-14d9-by-nicotiana-tabacum-cell-suspension-batch-culture-349252/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:49:18Zoai:ri.conicet.gov.ar:11336/4108instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:49:19.17CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Application of a Mathematical Model for Production of Recombinant Antibody 14D9 by Nicotiana tabacum Cell Suspension Batch Culture
title Application of a Mathematical Model for Production of Recombinant Antibody 14D9 by Nicotiana tabacum Cell Suspension Batch Culture
spellingShingle Application of a Mathematical Model for Production of Recombinant Antibody 14D9 by Nicotiana tabacum Cell Suspension Batch Culture
Marconi, Patricia Laura
Catalytic Antibodies
Molecular Farming
Plant Bioreactor
Mathematical Model
title_short Application of a Mathematical Model for Production of Recombinant Antibody 14D9 by Nicotiana tabacum Cell Suspension Batch Culture
title_full Application of a Mathematical Model for Production of Recombinant Antibody 14D9 by Nicotiana tabacum Cell Suspension Batch Culture
title_fullStr Application of a Mathematical Model for Production of Recombinant Antibody 14D9 by Nicotiana tabacum Cell Suspension Batch Culture
title_full_unstemmed Application of a Mathematical Model for Production of Recombinant Antibody 14D9 by Nicotiana tabacum Cell Suspension Batch Culture
title_sort Application of a Mathematical Model for Production of Recombinant Antibody 14D9 by Nicotiana tabacum Cell Suspension Batch Culture
dc.creator.none.fl_str_mv Marconi, Patricia Laura
Alvarez, Maria Alejandra
Klykov. S. P.
Kurakov, V. V.
author Marconi, Patricia Laura
author_facet Marconi, Patricia Laura
Alvarez, Maria Alejandra
Klykov. S. P.
Kurakov, V. V.
author_role author
author2 Alvarez, Maria Alejandra
Klykov. S. P.
Kurakov, V. V.
author2_role author
author
author
dc.subject.none.fl_str_mv Catalytic Antibodies
Molecular Farming
Plant Bioreactor
Mathematical Model
topic Catalytic Antibodies
Molecular Farming
Plant Bioreactor
Mathematical Model
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.9
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv One of the bottlenecks in biopharming is the scalability and modeling of batch cultures at bench scale, largely because bioreactors and mathematical models were originally designed for microbe cultures. Thus, a mathematical model that acknowledges kinetic and growth processes, basic aspect of cell structure, and physiology and productivity is needed. We proposed to apply a new combination of structured and unstructured mathematical models for plant cell cultivation in a bioreactor.The mathematical model is based on the theory of energy-limited growth that allows precise evaluation of a cell population age structure into the bioreactor. We have scaledthe full antibody r14D9 expressed in N. tabacumcell suspension from a 225 mL-Erlenmeyer flask to 2L-bioreactor and applied the above mentioned mathematical model in order to estimate and predict the growth rate of cell cultures and the accumulation of the recombinant protein. Under the proposed model two inoculum sizes were used in order to obtain experimental data, specific growth rates and productivity, which allow the analysis of the predictions under different conditions.
Fil: Marconi, Patricia Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Ciencias y Tecnología "Dr. Cesar Milstein"; Argentina
Fil: Alvarez, Maria Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Ciencias y Tecnología "Dr. Cesar Milstein"; Argentina
Fil: Klykov. S. P.. PHARMAREGION; Rusia
Fil: Kurakov, V. V.. PHARMAREGION; Rusia
description One of the bottlenecks in biopharming is the scalability and modeling of batch cultures at bench scale, largely because bioreactors and mathematical models were originally designed for microbe cultures. Thus, a mathematical model that acknowledges kinetic and growth processes, basic aspect of cell structure, and physiology and productivity is needed. We proposed to apply a new combination of structured and unstructured mathematical models for plant cell cultivation in a bioreactor.The mathematical model is based on the theory of energy-limited growth that allows precise evaluation of a cell population age structure into the bioreactor. We have scaledthe full antibody r14D9 expressed in N. tabacumcell suspension from a 225 mL-Erlenmeyer flask to 2L-bioreactor and applied the above mentioned mathematical model in order to estimate and predict the growth rate of cell cultures and the accumulation of the recombinant protein. Under the proposed model two inoculum sizes were used in order to obtain experimental data, specific growth rates and productivity, which allow the analysis of the predictions under different conditions.
publishDate 2014
dc.date.none.fl_str_mv 2014-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/4108
Marconi, Patricia Laura; Alvarez, Maria Alejandra; Klykov. S. P.; Kurakov, V. V.; Application of a Mathematical Model for Production of Recombinant Antibody 14D9 by Nicotiana tabacum Cell Suspension Batch Culture; Bioprocess International; Bioprocess; 12; 1; 1-2014; 42-49
1542-6319
url http://hdl.handle.net/11336/4108
identifier_str_mv Marconi, Patricia Laura; Alvarez, Maria Alejandra; Klykov. S. P.; Kurakov, V. V.; Application of a Mathematical Model for Production of Recombinant Antibody 14D9 by Nicotiana tabacum Cell Suspension Batch Culture; Bioprocess International; Bioprocess; 12; 1; 1-2014; 42-49
1542-6319
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.bioprocessintl.com/upstream-processing/assays/mathematical-model-for-production-of-recombinant-antibody-14d9-by-nicotiana-tabacum-cell-suspension-batch-culture-349252/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Bioprocess International
publisher.none.fl_str_mv Bioprocess International
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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