A Method to Optimize Expression of Recombinant Proteins in E. coli System Using Design of Experiments Techniques

The discoveries and advances around molecular biology and its interrelation with other sciences or disciplines have allowed the development of techniques for the modification of genetic information. Recombinant protein expression allows us to extract genetic material from a native cell and insert it...

Full description

Autores:
Arango Cortés, Juan Daniel
Henao Álvarez, Jéssica
Montoya Restrepo, Maria Camila
Salcedo Benavides, Gloria Emilce
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad CES
Repositorio:
Repositorio Digital - Universidad CES
Idioma:
eng
OAI Identifier:
oai:repository.ces.edu.co:10946/4879
Acceso en línea:
http://hdl.handle.net/10946/4879
Palabra clave:
Recombinant proteins
Expression optimization
Design of experiments
Response surface methodology
Rights
restrictedAccess
License
Restringido
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dc.title.spa.fl_str_mv A Method to Optimize Expression of Recombinant Proteins in E. coli System Using Design of Experiments Techniques
title A Method to Optimize Expression of Recombinant Proteins in E. coli System Using Design of Experiments Techniques
spellingShingle A Method to Optimize Expression of Recombinant Proteins in E. coli System Using Design of Experiments Techniques
Recombinant proteins
Expression optimization
Design of experiments
Response surface methodology
title_short A Method to Optimize Expression of Recombinant Proteins in E. coli System Using Design of Experiments Techniques
title_full A Method to Optimize Expression of Recombinant Proteins in E. coli System Using Design of Experiments Techniques
title_fullStr A Method to Optimize Expression of Recombinant Proteins in E. coli System Using Design of Experiments Techniques
title_full_unstemmed A Method to Optimize Expression of Recombinant Proteins in E. coli System Using Design of Experiments Techniques
title_sort A Method to Optimize Expression of Recombinant Proteins in E. coli System Using Design of Experiments Techniques
dc.creator.fl_str_mv Arango Cortés, Juan Daniel
Henao Álvarez, Jéssica
Montoya Restrepo, Maria Camila
Salcedo Benavides, Gloria Emilce
dc.contributor.author.none.fl_str_mv Arango Cortés, Juan Daniel
Henao Álvarez, Jéssica
Montoya Restrepo, Maria Camila
Salcedo Benavides, Gloria Emilce
dc.contributor.role.spa.fl_str_mv Asesor
dc.contributor.none.fl_str_mv Meneses Ramírez, Erick Alejandro
dc.subject.spa.fl_str_mv Recombinant proteins
Expression optimization
Design of experiments
Response surface methodology
topic Recombinant proteins
Expression optimization
Design of experiments
Response surface methodology
description The discoveries and advances around molecular biology and its interrelation with other sciences or disciplines have allowed the development of techniques for the modification of genetic information. Recombinant protein expression allows us to extract genetic material from a native cell and insert it into a different cell line in order to obtain a target peptide easily and quickly. Prokaryotic platforms, such as E. coli, are the most widely used systems thanks to the advantages it offers for the execution of the process. However, obtaining adequate protein yield through an efficient process requires the optimization of various parameters that influence expression results. For this reason, during the last decade, statistical techniques like Design of Experiment (DoE) have been applied. Some of them, such as the Response Surface Methodology (RSM), allow the optimization, evaluation and validation of these parameters in order to obtain proteins with high performance, quality and efficiency.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-10-15T22:15:38Z
dc.date.available.none.fl_str_mv 2020-10-15T22:15:38Z
dc.date.copyright.none.fl_str_mv 2020-09-29
dc.date.issued.none.fl_str_mv 2020-09-29
dc.type.spa.fl_str_mv Trabajo de Grado
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url http://hdl.handle.net/10946/4879
dc.language.iso.spa.fl_str_mv eng
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spelling Meneses Ramírez, Erick AlejandroArango Cortés, Juan Daniel755c037e-2181-407d-a61d-7bf36a894e7dHenao Álvarez, Jéssica13b7a5d2-d0be-4d3c-842f-47e00329ba63Montoya Restrepo, Maria Camilae94167b2-03f1-4a2d-ae55-a27098979cacSalcedo Benavides, Gloria Emilce3634e963-06bb-4877-a19a-5739a9753313Asesor2020-10-15T22:15:38Z2020-10-15T22:15:38Z2020-09-292020-09-29http://hdl.handle.net/10946/4879The discoveries and advances around molecular biology and its interrelation with other sciences or disciplines have allowed the development of techniques for the modification of genetic information. Recombinant protein expression allows us to extract genetic material from a native cell and insert it into a different cell line in order to obtain a target peptide easily and quickly. Prokaryotic platforms, such as E. coli, are the most widely used systems thanks to the advantages it offers for the execution of the process. However, obtaining adequate protein yield through an efficient process requires the optimization of various parameters that influence expression results. For this reason, during the last decade, statistical techniques like Design of Experiment (DoE) have been applied. 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