Paul S. Kelly

Integrated miRNA, mRNA and protein expression analysis reveals the role of post-transcriptional regulation in controlling CHO cell growth rate

BackgroundTo study the role of microRNA (miRNA) in the regulation of Chinese hamster ovary (CHO) cell growth, qPCR, microarray and quantitative LC-MS/MS analysis were utilised for simultaneous expression profiling of miRNA, mRNA and protein. The sample set under investigation consisted of clones with variable cellular growth rates derived from the same population. In addition to providing a systems level perspective on cell growth, the integration of multiple profiling datasets can facilitate the identification of non-seed miRNA targets, complement computational prediction tools and reduce false positive and false negative rates.Results51 miRNAs were associated with increased growth rate (35 miRNAs upregulated and 16 miRNAs downregulated). Gene ontology (GO) analysis of genes (n=432) and proteins (n=285) found to be differentially expressed (DE) identified biological processes driving proliferation including mRNA processing and translation. To investigate the influence of miRNA on these processes we combined the proteomic and transcriptomic data into two groups. The first set contained candidates where evidence of translational repression was observed (n=158). The second group was a mixture of proteins and mRNAs where evidence of translational repression was less clear (n=515). The TargetScan algorithm was utilised to predict potential targets within these two groups for anti-correlated DE miRNAs.ConclusionsThe evidence presented in this study indicates that biological processes such as mRNA processing and protein synthesis are correlated with growth rate in CHO cells. Through the integration of expression data from multiple levels of the biological system a number of proteins central to these processes including several hnRNPs and components of the ribosome were found to be post-transcriptionally regulated. We utilised the expression data in conjunction with in-silico tools to identify potential miRNA-mediated regulation of mRNA/proteins involved in CHO cell growth rate. These data have allowed us to prioritise candidates for cell engineering and/or biomarkers relevant to industrial cell culture. We also expect the knowledge gained from this study to be applicable to other fields investigating the role of miRNAs in mammalian cell growth.

MicroRNAs: tiny targets for engineering CHO cell phenotypes?

The ability of microRNAs to influence gene expression is now recognized as a fundamental layer of regulation within the cell. MicroRNAs have a major impact on most biological processes and have generated considerable interest as potential biomarkers as well as therapeutic or engineering targets. In this review we provide a brief overview of their biogenesis, genomic organization and mode of action, followed by a description of the methods and approaches to studying their expression. We go on to consider some of the approaches to utilizing them as tools and their potential application in the bioprocessing area, with particular emphasis on Chinese hamster ovary cell engineering.

CHO cell culture longevity and recombinant protein yield are enhanced by depletion of miR-7 activity via sponge decoy vectors.

Improving the efficiency of recombinant protein production by CHO cells is highly desirable as more complex proteins (MAbs, fusion proteins, blood/clotting factors, etc.) go into development and come onto the market. Previous reports have shown that microRNA (miRNA)-7 overexpression arrests the growth of CHO cells and that its depletion increases the proliferation of various cell types. In this study we generated stable CHO clones that overexpressed a miR-7-specific decoy transcript (sponge) downstream of a green fluorescent protein reporter gene. The miR-7 sponge efficiently diverted miR-7 away from its endogenous targets as exemplified by the increased expression of CDC7. Although the sponge effectively sequestered miR-7, it also appeared to protect the bound miRNA sequence from degradation in the cell, as exemplified by the apparent increase in mature miR-7 levels without any change in primary transcription. Phenotypically, CHO clones with sequestered miR-7 displayed improved maximum cell density (40%), significantly improved viability and an almost two-fold increase in yield of secreted protein in a fed-batch culture. These findings demonstrate that miRNA sponge transcripts could potentially be used in cell line development projects to generate producer clones that grow to higher densities and last longer in the bioreactor - thereby improving product yield.

Re-programming CHO cell metabolism using miR-23 tips the balance towards a highly productive phenotype

microRNA engineering of CHO cells has already proved successful in enhancing various industrially relevant phenotypes and producing various recombinant products. A single miRNAs ability to interact with multiple mRNA targets allows their regulatory capacity to extend to processes such as cellular metabolism. Various metabolic states have previously been associated with particular CHO cell phenotypes such as glycolytic or oxidative metabolism accommodating growth and productivity, respectively. miR-23 has previously been demonstrated to play a role in glutamate metabolism resulting in enhanced oxidative phosphorylation through the TCA cycle. Re-programming cellular bioenergetics through miR-23 could tip the balance, forcing mammalian production cells to be more productive by favoring metabolic channelling into oxidative metabolism. CHO clones depleted of miR-23 using a miR-sponge decoy demonstrated an average ∼three-fold enhanced specific productivity with no impact on cell growth. Using a cell respirometer, mitochondrial activity was found to be enhanced by ∼30% at Complex I and II of the electron transport system. Additionally, label-free proteomic analysis uncovered various potential novel targets of miR-23 including LE1 and IDH1, both implicated in oxidative metabolism and mitochondrial activity. These results demonstrate miRNA-based engineering as a route to re-programming cellular metabolism resulting in increased productivity, without affecting growth.

Towards next generation CHO cell biology: Bioinformatics methods for RNA-Seq-based expression profiling

High throughput, cost effective next generation sequencing (NGS) has enabled the publication of genome sequences for Cricetulus griseus and several Chinese hamster ovary (CHO) cell lines. RNA‐Seq, the utilization of NGS technology to study the transcriptome, is expanding our understanding of the CHO cell biological system in areas ranging from the analysis of transcription start sites to the discovery of small noncoding RNAs. The analysis of RNA‐Seq data, often comprised of several million short reads, presents a considerable challenge. If the CHO cell biology field is to fully exploit the potential of RNA‐Seq, the development of robust data analysis pipelines is critical. In this manuscript, we outline bioinformatics approaches for the stages of a typical RNA‐Seq expression profiling experiment including quality control, pre‐processing, alignment and de novo transcriptome assembly. Algorithms for the analysis of mRNA and microRNA (miRNA) expression as well as methods for the detection of alternative splicing from RNA‐Seq data are also presented. At this relatively early stage of Cricetulus griseus genome assembly and annotation, it is likely that a combination of isoform deconvolution and raw count based methods will provide the most complete picture of transcript expression patterns in CHO cell RNA‐Seq experiments.

Process-relevant concentrations of the leachable bDtBPP impact negatively on CHO cell production characteristics

The biopharmaceutical industry has invested considerably in the implementation of single‐use disposable bioreactors in place of or in addition to their stainless steel‐counterparts. This new wave of construction materials for disposable bioprocess containers encompass a plethora of uncharacterized secondary compounds that, when in contact with the culture media, can leach, contaminating the bioprocess. One such cytotoxic leachable already receiving attention is bis(2,4‐di‐tert‐butylphenyl)‐phosphate (bDtBPP), a breakdown product of the secondary antioxidant Irgafos 168 in polyethylene‐film based bags. This compound has been demonstrated to inhibit cell growth at concentrations ranging from 0.12 to 0.73 mg/L across an array of cell lines. Here we demonstrate that a further two CHO cell lines exhibit sensitivity to bDtBPP exposure at concentrations lower than that previously reported (0.035–0.1 mg/L). Furthermore, these inhibitory concentrations reflect bDtBPP levels found to leach early into the bioprocess, exposing reactor inoculums to serious risk. Quantitative label‐free LC‐MS/MS revealed that irrespective of cell line or concentration of bDtBPP, 8 proteins were found to be commonly differentially expressed in response to exposure to the compound highlighting biological processes related to cellular stress. Although the glycoprofile of the recombinant antibody remains primarily unchanged, we demonstrate that this compound when spiked at meaningful concentrations 72 h into culture considerably reduces the maximum cell density achieved. Studies like this reinforce the requirement for the complete characterization of all potential leachable compounds from disposable materials to assess their risk not only to the patient but also to the production pipeline itself.

Selection of High-Producing Clones Using FACS for CHO Cell Line Development

Cell line development aims to generate and select clones with desirable characteristics. One of the most important parameters for biopharmaceutical cell selection is cell-specific productivity (Qp) or the quantity of product produced per cell per day. Fluorescence-activated cell sorting (FACS) is a powerful, high-throughput technique that facilitates multiparametric characterization and isolation of individual cell clones from heterogeneous populations. Here, we describe a FACS-based method for section of high-producing CHO cell clones.

Ultra-deep next generation mitochondrial genome sequencing reveals widespread heteroplasmy in Chinese hamster ovary cells

Recent sequencing of the Chinese hamster ovary (CHO) cell and Chinese hamster genomes has dramatically advanced our ability to understand the biology of these mammalian cell factories. In this study, we focus on the powerhouse of the CHO cell, the mitochondrion. Utilizing a high-resolution next generation sequencing approach we sequenced the Chinese hamster mitochondrial genome for the first time and surveyed the mutational landscape of CHO cell mitochondrial DNA (mtDNA). Depths of coverage ranging from ~3,319X to 8,056X enabled accurate identification of low frequency mutations (>1%), revealing that mtDNA heteroplasmy is widespread in CHO cells. A total of 197 variants at 130 individual nucleotide positions were identified across a panel of 22 cell lines with 81% of variants occurring at an allele frequency of between 1% and 99%. 89% of the heteroplasmic mutations identified were cell line specific with the majority of shared heteroplasmic SNPs and INDELs detected in clones from 2 cell line development projects originating from the same host cell line. The frequency of common predicted loss of function mutations varied significantly amongst the clones indicating that heteroplasmic mtDNA variation could lead to a continuous range of phenotypes and play a role in cell to cell, production run to production run and indeed clone to clone variation in CHO cell metabolism. Experiments that integrate mtDNA sequencing with metabolic flux analysis and metabolomics have the potential to improve cell line selection and enhance CHO cell metabolic phenotypes for biopharmaceutical manufacturing through rational mitochondrial genome engineering.