LncRNA analysis of mAb producing CHO clones reveals marker and engineering potential.

Long non-coding RNAs (lncRNAs) are a potential new cell line engineering tool for improvement of yield and stability of CHO cells. In this study, we performed RNA sequencing of mAb producer CHO clones to study the lncRNA and protein coding transcriptome in relation to productivity. First, a robust linear model was used to identify genes correlating to productivity. To unravel specific patterns in expression of these genes, we employed weighted gene coexpression analysis (WGCNA) to find coexpressed modules, looking both for lncRNAs and coding genes. There was little overlap in the genes associated with productivity between the two products studied, possibly due to the difference in absolute range of productivity between the two mAbs. Therefore, we focused on the product with higher productivity and stronger candidate lncRNAs. To evaluate their potential as engineering targets, these candidate lncRNAs were transiently overexpressed or deleted by stable CRISPR Cas9 knock out both in a high and a low productivity subclone. We found that the thus achieved expression level of the identified lncRNAs, as confirmed by qPCR, does correlate well to productivity, so that they represent good markers that may be used for early clone selection. Additionally, we found that the deletion of one tested lncRNA region decreased viable cell density (VCD), prolonged culture time and increased cell size, final titer and specific productivity per cell. These results demonstrate the feasibility and usefulness of engineering lncRNA expression in production cell lines.

AI models and the future of genomic research and medicine: True sons of knowledge?: Artificial intelligence needs to be integrated with causal conceptions in biomedicine to harness its societal benefits for the field.

The increasing availability of large-scale, complex data has made research into how human genomes determine physiology in health and disease, as well as its application to drug development and medicine, an attractive field for artificial intelligence (AI) approaches. Looking at recent developments, we explore how such approaches interconnect and may conflict with needs for and notions of causal knowledge in molecular genetics and genomic medicine. We provide reasons to suggest that-while capable of generating predictive knowledge at unprecedented pace and scale-if and how these approaches will be integrated with prevailing causal concepts will not only determine the future of scientific understanding and self-conceptions in these fields. But these questions will also be key to develop differentiated policies, such as for education and regulation, in order to harness societal benefits of AI for genomic research and medicine.

Epigenetic regulation of gene expression in Chinese Hamster Ovary cells in response to the changing environment of a batch culture.

The existence of dynamic cellular phenotypes in changing environmental conditions is of major interest for cell biologists who aim to understand the mechanism and sequence of regulation of gene expression. In the context of therapeutic protein production by Chinese Hamster Ovary (CHO) cells, a detailed temporal understanding of cell-line behavior and control is necessary to achieve a more predictable and reliable process performance. Of particular interest are data on dynamic, temporally resolved transcriptional regulation of genes in response to altered substrate availability and culture conditions. In this study, the gene transcription dynamics throughout a 9-day batch culture of CHO cells was examined by analyzing histone modifications and gene expression profiles in regular 12- and 24-hr intervals, respectively. Three levels of regulation were observed: (a) the presence or absence of DNA methylation in the promoter region provides an ON/OFF switch; (b) a temporally resolved correlation is observed between the presence of active transcription- and promoter-specific histone marks and the expression level of the respective genes; and (c) a major mechanism of gene regulation is identified by interaction of coding genes with long non-coding RNA (lncRNA), as observed in the regulation of the expression level of both neighboring coding/lnc gene pairs and of gene pairs where the lncRNA is able to form RNA-DNA-DNA triplexes. Such triplex-forming regions were predominantly found in the promoter or enhancer region of the targeted coding gene. Significantly, the coding genes with the highest degree of variation in expression during the batch culture are characterized by a larger number of possible triplex-forming interactions with differentially expressed lncRNAs. This indicates a specific role of lncRNA-triplexes in enabling rapid and large changes in transcription. A more comprehensive understanding of these regulatory mechanisms will provide an opportunity for new tools to control cellular behavior and to engineer enhanced phenotypes.

ChromaWizard: An open source image analysis software for multicolor fluorescence in situ hybridization analysis.

Multicolor image analysis finds its applications in a broad range of biological studies. Specifically, multiplex fluorescence in situ hybridization (M-FISH) for chromosome painting facilitates the analysis of individual chromosomes in complex metaphase spreads and is widely used to detect both numerical and structural aberrations. While this is well established for human and mouse karyotypes, for which species sophisticated software and analysis tools are available, other organisms and species are less well served. Commercially available software is proprietary and not easily adaptable to other karyotypes. Therefore, a publically available open source software that combines flexibility and customizable functionalities is needed. Here we present such a tool called "ChromaWizard" which is based on popular scientific image analysis libraries (OpenCV, scikit-image, and NumPy). We demonstrate its functionality on the example of primary Chinese hamster (Cricetulus griseus) fibroblasts metaphase spreads and on Chinese Hamster Ovary cell lines known for the large number of chromosomal rearrangements. The application can be easily adapted to any kind of available labeling kits and is independent of the used organism and instrumentation. It allows direct inspection of the original hybridization signals and enables either manual or automatic assignment of colors, making it a functional and versatile tool that can be used also for other multicolor applications.

Karyotype variation of CHO host cell lines over time in culture characterized by chromosome counting and chromosome painting.

Genomic rearrangements are a common phenomenon in rapidly growing cell lines such as Chinese hamster ovary (CHO) cells, a feature that in the context of production of biologics may lead to cell line and product instability. Few methods exist to assess such genome wide instability. Here, we use the population distribution of chromosome numbers per cell as well as chromosome painting to quantify the karyotypic variation in several CHO host cell lines. CHO-S, CHO-K1 8 mM glutamine, and CHO-K1 cells adapted to grow in media containing no glutamine were analyzed over up to 6 months in culture. All three cell lines were clearly distinguishable by their chromosome number distribution and by the specific chromosome rearrangements that were present in each population. Chromosome Painting revealed a predominant karyotype for each cell line at the start of the experiment, completed by a large number of variants present in each population. Over time in culture, the predominant karyotype changed for CHO-S and CHO-K1, with the diversity increasing and new variants appearing, while CHO-K1 0 mM Gln preferred chromosome pattern increased in percent of the population over time. As control, Chinese hamster lung fibroblasts were shown to also contain an increasing number of variants over time in culture.

Preselection of recombinant gene integration sites enabling high transcription rates in CHO cells using alternate start codons and recombinase mediated cassette exchange.

Site-specific recombinase mediated cassette exchange (RMCE) enables the transfer of the gene of interest (GOI) into pre-selected genomic locations with defined expression properties. For the generation of recombinant production cell lines, this has the advantage that screening for high transcription rates at the genome integration site would be required only once, with the possibility to reuse the selected site for new products. Here, we describe a strategy that aims at the selection of transcriptionally active genome integration sites in Chinese Hamster Ovary (CHO) cells by using alternate start codons in the surface reporter protein CD4, in combination with FACS sorting for high expressers. The alternate start codon reduces the translation initiation efficiency and allows sorting for CHO cells with the highest transcription rates, while RMCE enables the subsequent exchange of the CD4 against the GOI. We have shown that sorted cell pools with the CD4 reporter gene containing the alternate start codon CTG lead to higher GFP signals and higher antibody titers upon RMCE as compared to cell pools containing the ATG start codon of the CD4 reporter. Despite the absence of any subcloning step, the final cell pool contained the CD4 gene in a single genome integration site.

Comprehensive genome and epigenome characterization of CHO cells in response to evolutionary pressures and over time.

The most striking characteristic of CHO cells is their adaptability, which enables efficient production of proteins as well as growth under a variety of culture conditions, but also results in genomic and phenotypic instability. To investigate the relative contribution of genomic and epigenetic modifications towards phenotype evolution, comprehensive genome and epigenome data are presented for six related CHO cell lines, both in response to perturbations (different culture conditions and media as well as selection of a specific phenotype with increased transient productivity) and in steady state (prolonged time in culture under constant conditions). Clear transitions were observed in DNA-methylation patterns upon each perturbation, while few changes occurred over time under constant conditions. Only minor DNA-methylation changes were observed between exponential and stationary growth phase; however, throughout a batch culture the histone modification pattern underwent continuous adaptation. Variation in genome sequence between the six cell lines on the level of SNPs, InDels, and structural variants is high, both upon perturbation and under constant conditions over time. The here presented comprehensive resource may open the door to improved control and manipulation of gene expression during industrial bioprocesses based on epigenetic mechanisms. Biotechnol. Bioeng. 2016;113: 2241-2253. © 2016 The Authors. Biotechnology and Bioengineering Published by Wiley Periodicals, Inc.

Manipulating gene expression levels in mammalian cell factories: An outline of synthetic molecular toolboxes to achieve multiplexed control.

Mammalian cells have developed dedicated molecular mechanisms to tightly control expression levels of their genes where the specific transcriptomic signature across all genes eventually determines the cell's phenotype. Modulating cellular phenotypes is of major interest to study their role in disease or to reprogram cells for the manufacturing of recombinant products, such as biopharmaceuticals. Cells of mammalian origin, for example Chinese hamster ovary (CHO) and Human embryonic kidney 293 (HEK293) cells, are most commonly employed to produce therapeutic proteins. Early genetic engineering approaches to alter their phenotype have often been attempted by "uncontrolled" overexpression or knock-down/-out of specific genetic factors. Many studies in the past years, however, highlight that rationally regulating and fine-tuning the strength of overexpression or knock-down to an optimum level, can adjust phenotypic traits with much more precision than such "uncontrolled" approaches. To this end, synthetic biology tools have been generated that enable (fine-)tunable and/or inducible control of gene expression. In this review, we discuss various molecular tools used in mammalian cell lines and group them by their mode of action: transcriptional, post-transcriptional, translational and post-translational regulation. We discuss the advantages and disadvantages of using these tools for each cell regulatory layer and with respect to cell line engineering approaches. This review highlights the plethora of synthetic toolboxes that could be employed, alone or in combination, to optimize cellular systems and eventually gain enhanced control over the cellular phenotype to equip mammalian cell factories with the tools required for efficient production of emerging, more difficult-to-express biologics formats.

Improving access to prosthetic limbs in Germany: An explorative review.

BACKGROUND: Meeting the needs of users when it comes to accessing prosthetic limbs is an important factor in the acceptance and use of a prosthesis; the cost of such prosthetics also constitutes a potential financial challenge. OBJECTIVES: The aim of this study was to investigate potential hurdles to accessing limb prosthetics in the German health care system, including organizational, social, economic, and regulatory issues, and to provide food for thought about ethical implications. METHODS: Sixteen German users of limb prosthetics with upper-limb and/or lower-limb amputation were recruited by means of purposive sampling. Semistructured interviews were performed, with the guiding question being as follows: "What were your experiences with the German prosthetic care and reimbursement system?" Ten stakeholders (insurance representatives, prosthetic technicians, medical service representatives, a law expert, and a lawyer) were asked about the issues they encounter in their work related to prosthetic care and reimbursement, and about ways to ameliorate these issues. A qualitative content analysis method was used to analyze the data. RESULTS: Half of the interviewed service users experienced hurdles to gaining a suitable prosthetic device, such as waiting times and pressure to negotiate their need for a certain prosthesis. Some of the views expressed about the issues relating to prosthetic reimbursement in Germany were common to all stakeholders, whereas some conflicted with the views of others. CONCLUSIONS: Equitable access to prostheses and the efficient distribution of prosthetic innovations could be improved by organizational and regulatory measures. Furthermore, a user-centered design of prostheses, a health technology assessment, monitoring of prosthetic care pathways, and a societal discussion about rationing in health care should be considered as parts of a broader approach to tackle this issue.

User types, psycho-social effects and societal trends related to the use of consumer health technologies.

Objective: The term consumer health technologies we use in this paper refers to fitness and health apps, wearables and other self-tracking devices that collect health-related data. Our paper aims to bridge the gap between the growing literature base of sociological research and ethical reflection on the (non-intended) effects of consumer health technology use on the psycho-social level, such as stress, responsibilization or a loss of intuitive sense for signs of health or illness. Special consideration should be given to vulnerable individuals, as the positive and negative effects of consumer health technology use may be unequally distributed. This perspective may help to guide policymaking and the responsible development of consumer health technologies. Methods: Using a narrative review approach, we refer to empirical and theoretical studies dealing with user types and effects related to the use of consumer health technologies. We provide an overview of consumer health technology user typologies and evidence of the unintended psycho-social effects of consumer health technology use. On this basis, we propose a user typology that may serve as a future tool for ethical reflection on negative side effects. Results: Evidence of the potential negative side effects of consumer health technology use, as presented in the literature, is inconclusive due to the high diversity of consumer health technology users and the way they use consumer health technologies. Our proposed user typology aims to more comprehensively document the diversity of users by incorporating the way in which users identify with and use their self-tracked data, attitudes towards the new technology and social interactions via consumer health technologies, and the purpose and self-determinedness of consumer health technology use. Conclusions: More systematic and quantitative empirical research on the effects of consumer health technology use in diverse settings and with diverse user types is necessary to inform public health policy. In addition to evidence-based certification of medical consumer health technologies, more practical and flexible ways to protect users from side effects may have to be developed and adopted, especially regarding the increasing number of non-medical consumer health technologies.

Glutamine synthetase (GS) knockout (KO) using CRISPR/Cpf1 diversely enhances selection efficiency of CHO cells expressing therapeutic antibodies.

The glutamine synthetase (GS)-based Chinese hamster ovary (CHO) selection system is an attractive approach to efficiently identify suitable clones in the cell line generation process for biologics manufacture, for which GS-knockout (GS-KO) CHO cell lines are commonly used. Since genome analysis indicated that there are two GS genes in CHO cells, deleting only 1 GS gene could potentially result in the activation of other GS genes, consequently reducing the selection efficiency. Therefore, in this study, both GS genes identified on chromosome 5 (GS5) and 1 (GS1) of CHO-S and CHO-K1, were deleted using CRISPR/Cpf1. Both single and double GS-KO CHO-S and K1 showed robust glutamine-dependent growth. Next, the engineered CHO cells were tested for their efficiency of selection of stable producers of two therapeutic antibodies. Analysis of pool cultures and subclones after a single round of 25 µM methionine sulfoxinime (MSX) selection indicated that for CHO-K1 the double GS5,1-KO was more efficient as in the case of a single GS5-KO the GS1 gene was upregulated. In CHO-S, on the other hand, with an autologously lower level of expression of both variants of GS, a single GS5-KO was more robust and already enabled selection of high producers. In conclusion, CRISPR/Cpf1 can be efficiently used to knock out GS genes from CHO cells. The study also indicates that for the generation of host cell lines for efficient selection, the initial characterisation of expression levels of the target gene as well as the identification of potential escape mechanisms is important.

Single-cell RNA sequencing reveals homogeneous transcriptome patterns and low variance in a suspension CHO-K1 and an adherent HEK293FT cell line in culture conditions.

Recombinant mammalian host cell lines, in particular CHO and HEK293 cells, are used for the industrial production of therapeutic proteins. Despite their well-known genomic instability, the control mechanisms that enable cells to respond to changes in the environmental conditions are not yet fully understood, nor do we have a good understanding of the factors that lead to phenotypic shifts in long-term cultures. A contributing factor could be inherent diversity in transcriptomes within a population. In this study, we used a full-length coverage single-cell RNA sequencing (scRNA-seq) approach to investigate and compare cell-to-cell variability and the impact of standardized and homogenous culture conditions on the diversity of individual cell transcriptomes, comparing suspension CHO-K1 and adherent HEK293FT cells. Our data showed a critical batch effect from the sequencing of four 96-well plates of CHO-K1 single cells stored for different periods of time, which was and may be therefore identified as a technical variable to consider in experimental planning. Besides, in an artificial and controlled culture environment such as used in routine cell culture technology, the gene expression pattern of a given population does not reveal any marker gene capable to disclose relevant cell population substructures, both for CHO-K1 cells and for HEK293FT cells. The variation observed is primarily driven by the cell cycle.

In silico design of CMV promoter binding oligonucleotides and their impact on inhibition of gene expression in Chinese hamster ovary cells.

Modulation of expression levels of endogenous or recombinant genes can be of great interest for diverse applications, such as the study of genotype-phenotype relationships for a gene of interest, or fine-tuning of transcription to determine physiologically relevant effects of gene expression levels. During the last decades, several synthetic biology tools were established to control gene expression in mammalian cells such as Chinese hamster ovary (CHO) cells, one of the most important cell systems for basic research as well as the production of biopharmaceuticals. Here we describe the use of triplex forming oligos (TFOs), short RNA or ssDNA molecules that can bind to the major grove of their target duplex with great specificity, to control transgene expression in CHO cells. For proof of concept, a panel of TFOs with a size of 10-20 nts were designed with the help of the on-line tool Triplexator targeting the viral cytomegalovirus (CMV) promoter/enhancer region controlling the downstream reporter gene hCD4. The effect of TFOs was tested as ssDNA oligos pre-annealed to the promoter/enhancer region in vitro as well as upon endogenous transcription of the TFO as an RNA molecule binding to their target duplex in vivo. Results showed that not only binding of the TFO, but the exact location of triplex formation within the promoter/enhancer is paramount for transcription inhibition. After relieving a binding conflict by introducing a point mutation within the CMV promoter, longer TFOs (26-30 nts) could be designed and analysed. Selected TFOs achieved a reduction in recombinant hCD4 expression of up to 85% in CHO-K1 cells.

Pleckstrin homology-phospholipase C-δ1 interaction with phosphatidylinositol 4,5-bisphosphate containing supported lipid bilayers monitored in situ with dual polarization interferometry.

We have determined the kinetics and affinity of binding of PH-PLCδ(1) to the PIP(2) headgroup lipids using an optical surface-sensitive technique in a time-resolved manner. The use of dual polarization interferometry to probe supported lipid bilayers (SLBs) of different compositions allowed determination of accurate affinity constants and a layer structure of the peptide binding to the model membrane platform. In addition, the platform enabled us to monitor the detailed adsorption kinetics characterized by a strong initial electrostatic attraction of the peptide to the SLB surface followed by rearrangement and loss of possibly clustered peptides upon specific binding to the phosphoinositide headgroup. These kinetics differed substantially from adsorption kinetics for nonspecific binding to similarly charged control SLBs.

Identification of a novel temperature sensitive promoter in CHO cells.

BACKGROUND: The Chinese hamster ovary (CHO) expression system is the leading production platform for manufacturing biopharmaceuticals for the treatment of numerous human diseases. Efforts to optimize the production process also include the genetic construct encoding the therapeutic gene. Here we report about the successful identification of an endogenous highly active gene promoter obtained from CHO cells which shows conditionally inducible gene expression at reduced temperature. RESULTS: Based on CHO microarray expression data abundantly transcribed genes were selected as potential promoter candidates. The S100a6 (calcyclin) and its flanking regions were identified from a genomic CHO-K1 lambda-phage library. Computational analyses showed a predicted TSS, a TATA-box and several TFBSs within the 1.5 kb region upstream the ATG start signal. Various constructs were investigated for promoter activity at 37°C and 33°C in transient luciferase reporter gene assays. Most constructs showed expression levels even higher than the SV40 control and on average a more than two-fold increase at lower temperature. We identified the core promoter sequence (222 bp) comprising two SP1 sites and could show a further increase in activity by duplication of this minimal sequence. CONCLUSIONS: This novel CHO promoter permits conditionally high-level gene expression. Upon a shift to 33°C, a two to three-fold increase of basal productivity (already higher than SV40 promoter) is achieved. This property is of particular advantage for a process with reduced expression during initial cell growth followed by the production phase at low temperature with a boost in expression. Additionally, production of toxic proteins becomes feasible, since cell metabolism and gene expression do not directly interfere. The CHO S100a6 promoter can be characterized as cold-shock responsive with the potential for improving process performance of mammalian expression systems.

A pooled CRISPR/AsCpf1 screen using paired gRNAs to induce genomic deletions in Chinese hamster ovary cells.

Chinese hamster ovary (CHO) cells are the most widely used host for the expression of therapeutic proteins. Recently, significant progress has been made due to advances in genome sequence and annotation quality to unravel the black box CHO. Nevertheless, in many cases the link between genotype and phenotype in the context of suspension cultivated production cell lines is still not fully understood. While frameshift approaches targeting coding genes are frequently used, the non-coding regions of the genome have received less attention with respect to such functional annotation. Importantly, for non-coding regions frameshift knock-out strategies are not feasible. In this study, we developed a CRISPR-mediated screening approach that performs full deletions of genomic regions to enable the functional study of both the translated and untranslated genome. An in silico pipeline for the computational high-throughput design of paired guide RNAs (pgRNAs) directing CRISPR/AsCpf1 was established and used to generate a library tackling process-related genes and long non-coding RNAs. Next generation sequencing analysis of the plasmid library revealed a sufficient, but highly variable pgRNA composition. Recombinase-mediated cassette exchange was applied for pgRNA library integration rather than viral transduction to ensure single copy representation of pgRNAs per cell. After transient AsCpf1 expression, cells were cultivated over two sequential batches to identify pgRNAs which massively affected growth and survival. By comparing pgRNA abundance, depleted candidates were identified and individually validated to verify their effect.

Advances in nanopatterned and nanostructured supported lipid membranes and their applications.

Lipid membranes are versatile and convenient alternatives to study the properties of natural cell membranes. Self-assembled, artificial, substrate-supported lipid membranes have taken a central role in membrane research due to a combination of factors such as ease of creation, control over complexity, stability and the applicability of a large range of different analytical techniques. While supported lipid bilayers have been investigated for several decades, recent advances in the understanding of the assembly of such membranes from liposomes have spawned a renaissance in the field. Supported lipid bilayers are a highly promising tool to study transmembrane proteins in their native state, an application that could have tremendous impact on, e.g. drug discovery, development of biointerfaces and as platforms for glycomics and probing of multivalent binding which requires ligand mobility. Parallel advances in microfluidics, biosensor design, micro- and nanofabrication have converged to bring self-assembled supported lipid bilayers closer to a versatile and easy to use research tool as well as closer to industrial applications. The field of supported lipid bilayer research and application is thus rapidly expanding and diversifying with new platforms continuously being proposed and developed. In order to use supported lipid bilayers for such applications several advances have to be made: decoupling of the membrane from the support while maintaining it close to the surface, making use of biologically relevant lipid compositions, patterning of lipid membranes into arrays, and application to nanostructured substrates and sensors. This review summarizes recent advances in the field which addresses these challenges.

Personality Traits and Further Training.

The notion of lifelong learning is gaining importance, not only in the labor market but also in other areas of modern societies. Previous research finds variation in occupation-related training participation by worker and workplace characteristics, gender, and education. However, evidence on the individual's socio-emotional skills creating favorable conditions for overall further training is scarce. To close this research gap, we analyze the role of personality for further training participation. First, we compare how the Big Five Personality Dimensions relate to different training types by differentiating between non-formal and informal training measures. Second, we investigate how personality traits affect further training chosen for occupational and private reasons separately. Drawing on a sample of 10,559 individuals from the Adult Stage of the German National Educational Panel Study (NEPS), we find that throughout our estimations, openness to experience positively relates to further training participation and is the most important determinant among the Big Five Personality Dimensions. However, the relationship between personality traits and training participation varies according to the training type and the reason for participating in further training. Moreover, we find gender-specific differences in the association between personality traits and lifelong learning. We conclude that personality is an important predictor of lifelong learning decisions.

Bioinformatic Identification of Chinese Hamster Ovary (CHO) Cold-Shock Genes and Biological Evidence of their Cold-Inducible Promoters.

Lower cultivation temperature dramatically affects cell growth and cellular productivity in Chinese hamster ovary cells (CHO) and is often used in industrial applications with the aim to enhance productivity. Cold-inducible proteins whose activity is induced at lower temperature play an important role in understanding the mechanisms of cold-induced changes in gene expression. One of these mechanisms is increased transcription of specific target genes controlled by sequence elements in cold-inducible promoters. This study provides a list of cold-inducible genes and endogenous cold-inducible promoters of CHO cells. Transcriptome data before and after a temperature shift from 37 to 33 °C are analyzed to identify 94 cold-inducible genes, which are highly expressed and have a high fold change in expression after the temperature shift. Cold-inducible promoters are identified from the top ten cold-inducible genes, showing up to 11-fold increased luciferase expression at lowered temperature in transient transfections. Additionally, several common transcription factor binding sites are identified in the top cold-inducible promoter sequences and expression of their corresponding transcription factors over temperature-shift cultivation is evaluated. These may be responsible for enhanced promoter activity under lower temperature and can be used as engineering targets.