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Fast plasmid based protein expression analysis in insect cells using an automated SplitGFP screen
Recombinant protein expression often presents a bottleneck for the production of proteins for use in many areas of animal‐cell biotechnology. Difficult‐to‐express proteins require the generation of numerous expression constructs, where popular prokaryotic screening systems often fail to identify exp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069567/ https://www.ncbi.nlm.nih.gov/pubmed/26913471 http://dx.doi.org/10.1002/bit.25956 |
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author | Bleckmann, Maren Schmelz, Stefan Schinkowski, Christian Scrima, Andrea van den Heuvel, Joop |
author_facet | Bleckmann, Maren Schmelz, Stefan Schinkowski, Christian Scrima, Andrea van den Heuvel, Joop |
author_sort | Bleckmann, Maren |
collection | PubMed |
description | Recombinant protein expression often presents a bottleneck for the production of proteins for use in many areas of animal‐cell biotechnology. Difficult‐to‐express proteins require the generation of numerous expression constructs, where popular prokaryotic screening systems often fail to identify expression of multi domain or full‐length protein constructs. Post‐translational modified mammalian proteins require an alternative host system such as insect cells using the Baculovirus Expression Vector System (BEVS). Unfortunately this is time‐, labor‐, and cost‐intensive. It is clearly desirable to find an automated and miniaturized fast multi‐sample screening method for protein expression in such systems. With this in mind, in this paper a high‐throughput initial expression screening method is described using an automated Microcultivation system in conjunction with fast plasmid based transient transfection in insect cells for the efficient generation of protein constructs. The applicability of the system is demonstrated for the difficult to express Nucleotide‐binding Oligomerization Domain‐containing protein 2 (NOD2). To enable detection of proper protein expression the rather weak plasmid based expression has been improved by a sensitive inline detection system. Here we present the functionality and application of the sensitive SplitGFP (split green fluorescent protein) detection system in insect cells. The successful expression of constructs is monitored by direct measurement of the fluorescence in the BioLector Microcultivation system. Additionally, we show that the results obtained with our plasmid‐based SplitGFP protein expression screen correlate directly to the level of soluble protein produced in BEVS. In conclusion our automated SplitGFP screen outlines a sensitive, fast and reliable method reducing the time and costs required for identifying the optimal expression construct prior to large scale protein production in baculovirus infected insect cells. Biotechnol. Bioeng. 2016;113: 1975–1983. © 2016 The Authors. Biotechnology and Bioengineering Published by Wiley Periodicals, Inc. |
format | Online Article Text |
id | pubmed-5069567 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50695672016-11-01 Fast plasmid based protein expression analysis in insect cells using an automated SplitGFP screen Bleckmann, Maren Schmelz, Stefan Schinkowski, Christian Scrima, Andrea van den Heuvel, Joop Biotechnol Bioeng Articles Recombinant protein expression often presents a bottleneck for the production of proteins for use in many areas of animal‐cell biotechnology. Difficult‐to‐express proteins require the generation of numerous expression constructs, where popular prokaryotic screening systems often fail to identify expression of multi domain or full‐length protein constructs. Post‐translational modified mammalian proteins require an alternative host system such as insect cells using the Baculovirus Expression Vector System (BEVS). Unfortunately this is time‐, labor‐, and cost‐intensive. It is clearly desirable to find an automated and miniaturized fast multi‐sample screening method for protein expression in such systems. With this in mind, in this paper a high‐throughput initial expression screening method is described using an automated Microcultivation system in conjunction with fast plasmid based transient transfection in insect cells for the efficient generation of protein constructs. The applicability of the system is demonstrated for the difficult to express Nucleotide‐binding Oligomerization Domain‐containing protein 2 (NOD2). To enable detection of proper protein expression the rather weak plasmid based expression has been improved by a sensitive inline detection system. Here we present the functionality and application of the sensitive SplitGFP (split green fluorescent protein) detection system in insect cells. The successful expression of constructs is monitored by direct measurement of the fluorescence in the BioLector Microcultivation system. Additionally, we show that the results obtained with our plasmid‐based SplitGFP protein expression screen correlate directly to the level of soluble protein produced in BEVS. In conclusion our automated SplitGFP screen outlines a sensitive, fast and reliable method reducing the time and costs required for identifying the optimal expression construct prior to large scale protein production in baculovirus infected insect cells. Biotechnol. Bioeng. 2016;113: 1975–1983. © 2016 The Authors. Biotechnology and Bioengineering Published by Wiley Periodicals, Inc. John Wiley and Sons Inc. 2016-03-10 2016-09 /pmc/articles/PMC5069567/ /pubmed/26913471 http://dx.doi.org/10.1002/bit.25956 Text en © 2016 The Authors. Biotechnology and Bioengineering Published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Articles Bleckmann, Maren Schmelz, Stefan Schinkowski, Christian Scrima, Andrea van den Heuvel, Joop Fast plasmid based protein expression analysis in insect cells using an automated SplitGFP screen |
title | Fast plasmid based protein expression analysis in insect cells using an automated SplitGFP screen |
title_full | Fast plasmid based protein expression analysis in insect cells using an automated SplitGFP screen |
title_fullStr | Fast plasmid based protein expression analysis in insect cells using an automated SplitGFP screen |
title_full_unstemmed | Fast plasmid based protein expression analysis in insect cells using an automated SplitGFP screen |
title_short | Fast plasmid based protein expression analysis in insect cells using an automated SplitGFP screen |
title_sort | fast plasmid based protein expression analysis in insect cells using an automated splitgfp screen |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069567/ https://www.ncbi.nlm.nih.gov/pubmed/26913471 http://dx.doi.org/10.1002/bit.25956 |
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