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Bacterial artificial chromosomes improve recombinant protein production in mammalian cells
BACKGROUND: The development of appropriate expression vectors for large scale protein production constitutes a critical step in recombinant protein production. The use of conventional expression vectors to obtain cell lines is a cumbersome procedure. Often, stable cell lines produce low protein yiel...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2653024/ https://www.ncbi.nlm.nih.gov/pubmed/19144171 http://dx.doi.org/10.1186/1472-6750-9-3 |
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author | Blaas, Leander Musteanu, Monica Eferl, Robert Bauer, Anton Casanova, Emilio |
author_facet | Blaas, Leander Musteanu, Monica Eferl, Robert Bauer, Anton Casanova, Emilio |
author_sort | Blaas, Leander |
collection | PubMed |
description | BACKGROUND: The development of appropriate expression vectors for large scale protein production constitutes a critical step in recombinant protein production. The use of conventional expression vectors to obtain cell lines is a cumbersome procedure. Often, stable cell lines produce low protein yields and production is not stable over the time. These problems are due to silencing of randomly integrated expression vectors by the surrounding chromatin. To overcome these chromatin effects, we have employed a Bacterial Artificial Chromosome (BAC) as expression vector to obtain stable cell lines suitable for protein production. RESULTS: In this work, we explore the efficacy of a Bacterial Artificial Chromosome based vector applied to production of the constant region of the human IgG1. Direct comparison of bulk HEK 293 cell cultures generated with a "conventional" vector or with a BAC-based vector showed that the BAC-based vector improved the protein yield by a factor of 10. Further analysis of stable cell clones harboring the BAC-based vector showed that the protein production was directly proportional to the number of integrated BAC copies and that the protein production was stable for at least 30 passages. CONCLUSION: Generation of stable cell clones for protein production using Bacterial Artificial Chromosomes offers a clear advantage over the use of conventional vectors. First, protein production is increased by a factor of 10; second, protein production is stable overtime and third, generation of BAC-based expression vectors does not imply a significant amount of work compare to a conventional vector. Therefore, BAC-based vectors may become an attractive tool for protein production. |
format | Text |
id | pubmed-2653024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26530242009-03-10 Bacterial artificial chromosomes improve recombinant protein production in mammalian cells Blaas, Leander Musteanu, Monica Eferl, Robert Bauer, Anton Casanova, Emilio BMC Biotechnol Methodology Article BACKGROUND: The development of appropriate expression vectors for large scale protein production constitutes a critical step in recombinant protein production. The use of conventional expression vectors to obtain cell lines is a cumbersome procedure. Often, stable cell lines produce low protein yields and production is not stable over the time. These problems are due to silencing of randomly integrated expression vectors by the surrounding chromatin. To overcome these chromatin effects, we have employed a Bacterial Artificial Chromosome (BAC) as expression vector to obtain stable cell lines suitable for protein production. RESULTS: In this work, we explore the efficacy of a Bacterial Artificial Chromosome based vector applied to production of the constant region of the human IgG1. Direct comparison of bulk HEK 293 cell cultures generated with a "conventional" vector or with a BAC-based vector showed that the BAC-based vector improved the protein yield by a factor of 10. Further analysis of stable cell clones harboring the BAC-based vector showed that the protein production was directly proportional to the number of integrated BAC copies and that the protein production was stable for at least 30 passages. CONCLUSION: Generation of stable cell clones for protein production using Bacterial Artificial Chromosomes offers a clear advantage over the use of conventional vectors. First, protein production is increased by a factor of 10; second, protein production is stable overtime and third, generation of BAC-based expression vectors does not imply a significant amount of work compare to a conventional vector. Therefore, BAC-based vectors may become an attractive tool for protein production. BioMed Central 2009-01-14 /pmc/articles/PMC2653024/ /pubmed/19144171 http://dx.doi.org/10.1186/1472-6750-9-3 Text en Copyright © 2009 Blaas et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Article Blaas, Leander Musteanu, Monica Eferl, Robert Bauer, Anton Casanova, Emilio Bacterial artificial chromosomes improve recombinant protein production in mammalian cells |
title | Bacterial artificial chromosomes improve recombinant protein production in mammalian cells |
title_full | Bacterial artificial chromosomes improve recombinant protein production in mammalian cells |
title_fullStr | Bacterial artificial chromosomes improve recombinant protein production in mammalian cells |
title_full_unstemmed | Bacterial artificial chromosomes improve recombinant protein production in mammalian cells |
title_short | Bacterial artificial chromosomes improve recombinant protein production in mammalian cells |
title_sort | bacterial artificial chromosomes improve recombinant protein production in mammalian cells |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2653024/ https://www.ncbi.nlm.nih.gov/pubmed/19144171 http://dx.doi.org/10.1186/1472-6750-9-3 |
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