Chinese hamster ovary (CHO) cells are currently the workhorse of the biopharmaceutical industry. However, yeasts such as Pichia pastoris are about to enter this field. To compare their capability for recombinant protein secretion, P. pastoris strains and CHO cell lines producing human serum albumin (HSA) and the 3D6 single chain Fv-Fc anti-HIV-1 antibody (3D6scFv-Fc) were cultivated in comparable fed batch processes. In P. pastoris, the mean biomass-specific secretion rate (qp) was 40-fold lower for 3D6scFv-Fc compared to HSA. On the contrary, qp was similar for both proteins in CHO cells. When comparing both organisms, the mean qp of the CHO cell lines was 1011-fold higher for 3D6scFv-Fc and 26-fold higher for HSA. Due to the low qp of the 3D6scFv-Fc producing strain, the space-time yield (STY) was 9.6-fold lower for P. pastoris. In contrast, the STY of the HSA producer was 9.2-fold higher compared to CHO cells because of the shorter process time and higher biomass density. The results indicate that the protein secretion machinery of P. pastoris is much less efficient and the secretion rate strongly depends on the complexity of the recombinant protein. However, process efficiency of the yeast system allows higher STYs for less complex proteins.

The objective of this approach was to identify new CHO endogenous gene regulatory elements that are capable of regulating foreign gene expression in recombinant CHO host cells. The standard technology for the production of many biopharmaceutical products is frequently based on expression vectors that utilize strong mammalian viral promoters like SV40 or CMV which allow for very high expression rates but this may lead to constitutive over-expression resulting in a permanent stress for the cell. In addition, some heterologous promoters are cell-cycle dependent and can be subject to gene silencing generating heterogeneity within the cell population. Here, we describe the construction of a genomic CHO library and the subsequent identification and isolation of selected target sequences that are believed to be responsible for high level expression of the associated genes. The method that was used to isolate these regions of interest relies on gene specific amplification with primer pairs binding on different genes and the vector sequence. Flanking regions of these fragments were identified through Inverse PCR from fragmented and self-ligated genomic DNA. Expression levels of both the initially derived and the mapped fragments were determined through a luciferase reporter assay.

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 materialThe online version of this article (doi:10.1007/s00253-014-5911-4) contains supplementary material, which is available to authorized users.