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Identification of microRNAs specific for high producer CHO cell lines using steady-state cultivation

MicroRNAs are short non-coding RNAs that play an important role in the regulation of gene expression. Hence, microRNAs are considered as potential targets for engineering of Chinese hamster ovary (CHO) cells to improve recombinant protein production. Here, we analyzed and compared the microRNA expre...

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Autores principales: Maccani, Andreas, Hackl, Matthias, Leitner, Christian, Steinfellner, Willibald, Graf, Alexandra B., Tatto, Nadine E., Karbiener, Michael, Scheideler, Marcel, Grillari, Johannes, Mattanovich, Diethard, Kunert, Renate, Borth, Nicole, Grabherr, Reingard, Ernst, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4139590/
https://www.ncbi.nlm.nih.gov/pubmed/25052466
http://dx.doi.org/10.1007/s00253-014-5911-4
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author Maccani, Andreas
Hackl, Matthias
Leitner, Christian
Steinfellner, Willibald
Graf, Alexandra B.
Tatto, Nadine E.
Karbiener, Michael
Scheideler, Marcel
Grillari, Johannes
Mattanovich, Diethard
Kunert, Renate
Borth, Nicole
Grabherr, Reingard
Ernst, Wolfgang
author_facet Maccani, Andreas
Hackl, Matthias
Leitner, Christian
Steinfellner, Willibald
Graf, Alexandra B.
Tatto, Nadine E.
Karbiener, Michael
Scheideler, Marcel
Grillari, Johannes
Mattanovich, Diethard
Kunert, Renate
Borth, Nicole
Grabherr, Reingard
Ernst, Wolfgang
author_sort Maccani, Andreas
collection PubMed
description MicroRNAs are short non-coding RNAs that play an important role in the regulation of gene expression. Hence, microRNAs are considered as potential targets for engineering of Chinese hamster ovary (CHO) cells to improve recombinant protein production. Here, we analyzed and compared the microRNA expression patterns of high, low, and non-producing recombinant CHO cell lines expressing two structurally different model proteins in order to identify microRNAs that are involved in heterologous protein synthesis and secretion and thus might be promising targets for cell engineering to increase productivity. To generate reproducible and comparable data, the cells were cultivated in a bioreactor under steady-state conditions. Global microRNA expression analysis showed that mature microRNAs were predominantly upregulated in the producing cell lines compared to the non-producer. Several microRNAs were significantly differentially expressed between high and low producers, but none of them commonly for both model proteins. The identification of target messenger RNAs (mRNAs) is essential to understand the biological function of microRNAs. Therefore, we negatively correlated microRNA and global mRNA expression data and combined them with computationally predicted and experimentally validated targets. However, statistical analysis of the identified microRNA-mRNA interactions indicated a considerable false positive rate. Our results and the comparison to published data suggest that the reaction of CHO cells to the heterologous protein expression is strongly product- and/or clone-specific. In addition, this study highlights the urgent need for reliable CHO-specific microRNA target prediction tools and experimentally validated target databases in order to facilitate functional analysis of high-throughput microRNA expression data in CHO cells. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00253-014-5911-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-41395902014-08-26 Identification of microRNAs specific for high producer CHO cell lines using steady-state cultivation Maccani, Andreas Hackl, Matthias Leitner, Christian Steinfellner, Willibald Graf, Alexandra B. Tatto, Nadine E. Karbiener, Michael Scheideler, Marcel Grillari, Johannes Mattanovich, Diethard Kunert, Renate Borth, Nicole Grabherr, Reingard Ernst, Wolfgang Appl Microbiol Biotechnol Genomics, Transcriptomics, Proteomics MicroRNAs are short non-coding RNAs that play an important role in the regulation of gene expression. Hence, microRNAs are considered as potential targets for engineering of Chinese hamster ovary (CHO) cells to improve recombinant protein production. Here, we analyzed and compared the microRNA expression patterns of high, low, and non-producing recombinant CHO cell lines expressing two structurally different model proteins in order to identify microRNAs that are involved in heterologous protein synthesis and secretion and thus might be promising targets for cell engineering to increase productivity. To generate reproducible and comparable data, the cells were cultivated in a bioreactor under steady-state conditions. Global microRNA expression analysis showed that mature microRNAs were predominantly upregulated in the producing cell lines compared to the non-producer. Several microRNAs were significantly differentially expressed between high and low producers, but none of them commonly for both model proteins. The identification of target messenger RNAs (mRNAs) is essential to understand the biological function of microRNAs. Therefore, we negatively correlated microRNA and global mRNA expression data and combined them with computationally predicted and experimentally validated targets. However, statistical analysis of the identified microRNA-mRNA interactions indicated a considerable false positive rate. Our results and the comparison to published data suggest that the reaction of CHO cells to the heterologous protein expression is strongly product- and/or clone-specific. In addition, this study highlights the urgent need for reliable CHO-specific microRNA target prediction tools and experimentally validated target databases in order to facilitate functional analysis of high-throughput microRNA expression data in CHO cells. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00253-014-5911-4) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2014-07-23 2014 /pmc/articles/PMC4139590/ /pubmed/25052466 http://dx.doi.org/10.1007/s00253-014-5911-4 Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Genomics, Transcriptomics, Proteomics
Maccani, Andreas
Hackl, Matthias
Leitner, Christian
Steinfellner, Willibald
Graf, Alexandra B.
Tatto, Nadine E.
Karbiener, Michael
Scheideler, Marcel
Grillari, Johannes
Mattanovich, Diethard
Kunert, Renate
Borth, Nicole
Grabherr, Reingard
Ernst, Wolfgang
Identification of microRNAs specific for high producer CHO cell lines using steady-state cultivation
title Identification of microRNAs specific for high producer CHO cell lines using steady-state cultivation
title_full Identification of microRNAs specific for high producer CHO cell lines using steady-state cultivation
title_fullStr Identification of microRNAs specific for high producer CHO cell lines using steady-state cultivation
title_full_unstemmed Identification of microRNAs specific for high producer CHO cell lines using steady-state cultivation
title_short Identification of microRNAs specific for high producer CHO cell lines using steady-state cultivation
title_sort identification of micrornas specific for high producer cho cell lines using steady-state cultivation
topic Genomics, Transcriptomics, Proteomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4139590/
https://www.ncbi.nlm.nih.gov/pubmed/25052466
http://dx.doi.org/10.1007/s00253-014-5911-4
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