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Insights into the prevalence and underlying causes of clonal variation through transcriptomic analysis in Pichia pastoris
Clonal variation, wherein a range of specific productivities of secreted proteins are observed from supposedly identical transformants, is an accepted aspect of working with Pichia pastoris. It means that a significant number of transformants need to be tested to obtain a representative sample, and...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486821/ https://www.ncbi.nlm.nih.gov/pubmed/28534062 http://dx.doi.org/10.1007/s00253-017-8317-2 |
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author | Aw, Rochelle Barton, Geraint R Leak, David J. |
author_facet | Aw, Rochelle Barton, Geraint R Leak, David J. |
author_sort | Aw, Rochelle |
collection | PubMed |
description | Clonal variation, wherein a range of specific productivities of secreted proteins are observed from supposedly identical transformants, is an accepted aspect of working with Pichia pastoris. It means that a significant number of transformants need to be tested to obtain a representative sample, and in commercial protein production, companies regularly screen thousands of transformants to select for the highest secretor. Here, we have undertaken a detailed investigation of this phenomenon by characterising clones transformed with the human serum albumin gene. The titers of nine clones, each containing a single copy of the human serum albumin gene (identified by qPCR), were measured and the clones grouped into three categories, namely, high-, mid- and low-level secretors. Transcriptomic analysis, using microarrays, showed that no regulatory patterns consistently correlated with titer, suggesting that the causes of clonal variation are varied. However, a number of physiological changes appeared to underlie the differences in titer, suggesting there is more than one biochemical signature for a high-secreting strain. An anomalous low-secreting strain displaying high transcript levels that appeared to be nutritionally starved further emphasises the complicated nature of clonal variation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00253-017-8317-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5486821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-54868212017-07-11 Insights into the prevalence and underlying causes of clonal variation through transcriptomic analysis in Pichia pastoris Aw, Rochelle Barton, Geraint R Leak, David J. Appl Microbiol Biotechnol Genomics, Transcriptomics, Proteomics Clonal variation, wherein a range of specific productivities of secreted proteins are observed from supposedly identical transformants, is an accepted aspect of working with Pichia pastoris. It means that a significant number of transformants need to be tested to obtain a representative sample, and in commercial protein production, companies regularly screen thousands of transformants to select for the highest secretor. Here, we have undertaken a detailed investigation of this phenomenon by characterising clones transformed with the human serum albumin gene. The titers of nine clones, each containing a single copy of the human serum albumin gene (identified by qPCR), were measured and the clones grouped into three categories, namely, high-, mid- and low-level secretors. Transcriptomic analysis, using microarrays, showed that no regulatory patterns consistently correlated with titer, suggesting that the causes of clonal variation are varied. However, a number of physiological changes appeared to underlie the differences in titer, suggesting there is more than one biochemical signature for a high-secreting strain. An anomalous low-secreting strain displaying high transcript levels that appeared to be nutritionally starved further emphasises the complicated nature of clonal variation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00253-017-8317-2) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-05-22 2017 /pmc/articles/PMC5486821/ /pubmed/28534062 http://dx.doi.org/10.1007/s00253-017-8317-2 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Genomics, Transcriptomics, Proteomics Aw, Rochelle Barton, Geraint R Leak, David J. Insights into the prevalence and underlying causes of clonal variation through transcriptomic analysis in Pichia pastoris |
title | Insights into the prevalence and underlying causes of clonal variation through transcriptomic analysis in Pichia pastoris |
title_full | Insights into the prevalence and underlying causes of clonal variation through transcriptomic analysis in Pichia pastoris |
title_fullStr | Insights into the prevalence and underlying causes of clonal variation through transcriptomic analysis in Pichia pastoris |
title_full_unstemmed | Insights into the prevalence and underlying causes of clonal variation through transcriptomic analysis in Pichia pastoris |
title_short | Insights into the prevalence and underlying causes of clonal variation through transcriptomic analysis in Pichia pastoris |
title_sort | insights into the prevalence and underlying causes of clonal variation through transcriptomic analysis in pichia pastoris |
topic | Genomics, Transcriptomics, Proteomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5486821/ https://www.ncbi.nlm.nih.gov/pubmed/28534062 http://dx.doi.org/10.1007/s00253-017-8317-2 |
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