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• W2016096981 abstract "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." @default.
• W2016096981 created "2016-06-24" @default.
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• W2016096981 date "2014-07-23" @default.
• W2016096981 modified "2023-10-02" @default.
• W2016096981 title "Identification of microRNAs specific for high producer CHO cell lines using steady-state cultivation" @default.
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• W2016096981 cites W1978403430 @default.
• W2016096981 cites W1980167726 @default.
• W2016096981 cites W1980295643 @default.
• W2016096981 cites W1988163167 @default.
• W2016096981 cites W1988925753 @default.
• W2016096981 cites W1990958957 @default.
• W2016096981 cites W1992299163 @default.
• W2016096981 cites W1995675330 @default.
• W2016096981 cites W1999360191 @default.
• W2016096981 cites W2004943023 @default.
• W2016096981 cites W2004966361 @default.
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• W2016096981 cites W2072880634 @default.
• W2016096981 cites W2074701970 @default.
• W2016096981 cites W2077327925 @default.
• W2016096981 cites W2077475358 @default.
• W2016096981 cites W2083381199 @default.
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• W2016096981 doi "https://doi.org/10.1007/s00253-014-5911-4" @default.
• W2016096981 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4139590" @default.
• W2016096981 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25052466" @default.
• W2016096981 hasPublicationYear "2014" @default.
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