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Network reconstruction of the mouse secretory pathway applied on CHO cell transcriptome data

BACKGROUND: Protein secretion is one of the most important processes in eukaryotes. It is based on a highly complex machinery involving numerous proteins in several cellular compartments. The elucidation of the cell biology of the secretory machinery is of great importance, as it drives protein expr...

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Autores principales: Lund, Anne Mathilde, Kaas, Christian Schrøder, Brandl, Julian, Pedersen, Lasse Ebdrup, Kildegaard, Helene Faustrup, Kristensen, Claus, Andersen, Mikael Rørdam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5353859/
https://www.ncbi.nlm.nih.gov/pubmed/28298216
http://dx.doi.org/10.1186/s12918-017-0414-4
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author Lund, Anne Mathilde
Kaas, Christian Schrøder
Brandl, Julian
Pedersen, Lasse Ebdrup
Kildegaard, Helene Faustrup
Kristensen, Claus
Andersen, Mikael Rørdam
author_facet Lund, Anne Mathilde
Kaas, Christian Schrøder
Brandl, Julian
Pedersen, Lasse Ebdrup
Kildegaard, Helene Faustrup
Kristensen, Claus
Andersen, Mikael Rørdam
author_sort Lund, Anne Mathilde
collection PubMed
description BACKGROUND: Protein secretion is one of the most important processes in eukaryotes. It is based on a highly complex machinery involving numerous proteins in several cellular compartments. The elucidation of the cell biology of the secretory machinery is of great importance, as it drives protein expression for biopharmaceutical industry, a 140 billion USD global market. However, the complexity of secretory process is difficult to describe using a simple reductionist approach, and therefore a promising avenue is to employ the tools of systems biology. RESULTS: On the basis of manual curation of the literature on the yeast, human, and mouse secretory pathway, we have compiled a comprehensive catalogue of characterized proteins with functional annotation and their interconnectivity. Thus we have established the most elaborate reconstruction (RECON) of the functional secretion pathway network to date, counting 801 different components in mouse. By employing our mouse RECON to the CHO-K1 genome in a comparative genomic approach, we could reconstruct the protein secretory pathway of CHO cells counting 764 CHO components. This RECON furthermore facilitated the development of three alternative methods to study protein secretion through graphical visualizations of omics data. We have demonstrated the use of these methods to identify potential new and known targets for engineering improved growth and IgG production, as well as the general observation that CHO cells seem to have less strict transcriptional regulation of protein secretion than healthy mouse cells. CONCLUSIONS: The RECON of the secretory pathway represents a strong tool for interpretation of data related to protein secretion as illustrated with transcriptomic data of Chinese Hamster Ovary (CHO) cells, the main platform for mammalian protein production. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-017-0414-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-53538592017-03-22 Network reconstruction of the mouse secretory pathway applied on CHO cell transcriptome data Lund, Anne Mathilde Kaas, Christian Schrøder Brandl, Julian Pedersen, Lasse Ebdrup Kildegaard, Helene Faustrup Kristensen, Claus Andersen, Mikael Rørdam BMC Syst Biol Research Article BACKGROUND: Protein secretion is one of the most important processes in eukaryotes. It is based on a highly complex machinery involving numerous proteins in several cellular compartments. The elucidation of the cell biology of the secretory machinery is of great importance, as it drives protein expression for biopharmaceutical industry, a 140 billion USD global market. However, the complexity of secretory process is difficult to describe using a simple reductionist approach, and therefore a promising avenue is to employ the tools of systems biology. RESULTS: On the basis of manual curation of the literature on the yeast, human, and mouse secretory pathway, we have compiled a comprehensive catalogue of characterized proteins with functional annotation and their interconnectivity. Thus we have established the most elaborate reconstruction (RECON) of the functional secretion pathway network to date, counting 801 different components in mouse. By employing our mouse RECON to the CHO-K1 genome in a comparative genomic approach, we could reconstruct the protein secretory pathway of CHO cells counting 764 CHO components. This RECON furthermore facilitated the development of three alternative methods to study protein secretion through graphical visualizations of omics data. We have demonstrated the use of these methods to identify potential new and known targets for engineering improved growth and IgG production, as well as the general observation that CHO cells seem to have less strict transcriptional regulation of protein secretion than healthy mouse cells. CONCLUSIONS: The RECON of the secretory pathway represents a strong tool for interpretation of data related to protein secretion as illustrated with transcriptomic data of Chinese Hamster Ovary (CHO) cells, the main platform for mammalian protein production. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-017-0414-4) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-15 /pmc/articles/PMC5353859/ /pubmed/28298216 http://dx.doi.org/10.1186/s12918-017-0414-4 Text en © The Author(s). 2017 Open AccessThis 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Lund, Anne Mathilde
Kaas, Christian Schrøder
Brandl, Julian
Pedersen, Lasse Ebdrup
Kildegaard, Helene Faustrup
Kristensen, Claus
Andersen, Mikael Rørdam
Network reconstruction of the mouse secretory pathway applied on CHO cell transcriptome data
title Network reconstruction of the mouse secretory pathway applied on CHO cell transcriptome data
title_full Network reconstruction of the mouse secretory pathway applied on CHO cell transcriptome data
title_fullStr Network reconstruction of the mouse secretory pathway applied on CHO cell transcriptome data
title_full_unstemmed Network reconstruction of the mouse secretory pathway applied on CHO cell transcriptome data
title_short Network reconstruction of the mouse secretory pathway applied on CHO cell transcriptome data
title_sort network reconstruction of the mouse secretory pathway applied on cho cell transcriptome data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5353859/
https://www.ncbi.nlm.nih.gov/pubmed/28298216
http://dx.doi.org/10.1186/s12918-017-0414-4
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