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In Enterococcus faecalis, sex pheromone-mediated transfer of antibiotic resistance plasmids can occur under unfavorable conditions, for example, when inducing pheromone concentrations are low and inhibiting pheromone concentrations are high. To better understand this paradox, we adapted fluorescence in situ hybridization chain reaction (HCR) methodology for simultaneous quantification of multiple E. faecalis transcripts at the single cell level. We present direct evidence for variability in the minimum period, maximum response level, and duration of response of individual cells to a specific inducing condition. Tracking of induction patterns of single cells temporally using a fluorescent reporter supported HCR findings. It also revealed subpopulations of rapid responders, even under low inducing pheromone concentrations where the overall response of the entire population was slow. The strong, rapid induction of small numbers of cells in cultures exposed to low pheromone concentrations is in agreement with predictions of a stochastic model of the enterococcal pheromone response. The previously documented complex regulatory circuitry controlling the pheromone response likely contributes to stochastic variation in this system. In addition to increasing our basic understanding of the biology of a horizontal gene transfer system regulated by cell-cell signaling, demonstration of the stochastic nature of the pheromone response also impacts any future efforts to develop therapeutic agents targeting the system. Quantitative single cell analysis using HCR also has great potential to elucidate important bacterial regulatory mechanisms not previously amenable to study at the single cell level, and to accelerate the pace of functional genomic studies., Author summary Within a given niche, expression levels of individual cells (and resulting functional behaviors) may differ substantially from the mean of the population due to stochasticity or microenvironment heterogeneity. Quantification of bacterial gene expression at the single cell level provides a more informative picture of microbial communities. In Enterococcus faecalis, intercellular communication via peptide pheromones controls conjugation-mediated transfer of antibiotic resistance, adaptation to stress, and formation of biofilms. Population-level studies have shown that induction of conjugation by peptides is tightly controlled, but the extent of single cell variation in the process has not been explored. We analyzed induction in single cells by direct transcript labeling and GFP reporter expression and show that the response is heterogeneous and stochastic. Mathematical simulations modeled the components of the system and predicted this response. Importantly we show that conjugation can occur in response to low inducer peptide concentrations and in the presence of high inhibitory peptide concentrations. In both of these cases, some cells respond at a similar early time. Stochasticity in the response could explain the occurrence of induction and conjugation in these scenarios that might seem to disfavor plasmid transfer and permit plasmid dissemination while minimizing fitness costs of induction to donor populations.

We derived a stable cell line from Chinese hamster embryonic fibroblasts by transduction of four mouse transcription factors (M3O, Sox2, Klf4, and n-Myc) using a lentiviral vector. The cell line possess all the characteristics of an induced pluripotent stem cell (iPSC) line. Given that Chinese hamster ovary (CHO) cells are the predominant host cells used for therapeutic protein production and no pluripotent stem cell line or other normal cell line has been isolated from Chinese hamster, this iPSC line may serve as a useful tool for research using CHO cells or even be used for deriving new cell lines. ispartof: Stem Cell Research vol:21 pages:132-136 ispartof: location:England status: published

Global survey of transcriptome dynamics can provide molecular insights into cell physiology. In the past few years, DNA microarray for transcriptome analysis has been augmented by high-throughput sequencing methods; extending the reach of transcriptome analysis to the rodent species of biotechnological importance, for which the development of genomic tools has been lagging. The rapid accumulation of sequencing data for these species highlighted the need for more evidence-based annotation. Recent findings in the epigenetic regulation in human and mouse will inspire similar research in CHO and BHK cells. Transcriptome studies in these recombinant cells will likely lay the foundation for a systems-based genome engineering which can be used to develop superior producing cell lines. Herein, we summarized the recent findings and advances in transcriptome studies of cell culture bioprocesses. The potential impact of transcriptomics on biopharmaceutical process technology is also discussed.

Stem cell-derived hepatocyte-like cells hold great potential for the treatment of liver disease and for drug toxicity screening. The success of these applications hinges on the generation of differentiated cells with high liver specific activities. Many protocols have been developed to guide human embryonic stem cells (hESCs) to differentiate to the hepatic lineage. Here we report cultivation of hESCs as three-dimensional aggregates that enhances their differentiation to hepatocyte-like cells. Differentiation was first carried out in monolayer culture for 20 days. Subsequently cells were allowed to self-aggregate into spheroids. Significantly higher expression of liver-specific transcripts and proteins, including Albumin, phosphoenolpyruvate carboxykinase, and asialoglycoprotein receptor 1 was observed. The differentiated phenotype was sustained for more than 2 weeks in the three-dimensional spheroid culture system, significantly longer than in monolayer culture. Cells in spheroids exhibit morphological and ultrastructural characteristics of primary hepatocytes by scanning and transmission electron microscopy in addition to mature functions, such as biliary excretion of metabolic products and cytochrome P450 activities. This three-dimensional spheroid culture system may be appropriate for generating high quality, functional hepatocyte-like cells from ESCs.

Dihydrofolate reductase (DHFR) system is used to amplify the product gene to multiple copies in Chinese Hamster Ovary (CHO) cells for generating cell lines which produce the recombinant protein at high levels. The physiological changes accompanying the transformation of the non-protein secreting host cells to a high producing cell line is not well characterized. We performed transcriptome analysis on CHO cells undergoing the selection and amplification processes. A host CHO cell line was transfected with a vector containing genes encoding the mouse DHFR (mDHFR) and a recombinant human IgG (hIgG). Clones were isolated following selection and subcloned following amplification. Control cells were transfected with a control plasmid which did not have the hIgG genes. Although methotrexate (MTX) amplification increased the transcript level of the mDHFR gene significantly, its effect on both hIgG heavy and light chain genes was more modest. The subclones appeared to retain the transcriptome signatures of their parental clones, however, their productivity varied among those derived from the same clone. The transcript levels of hIgG transgenes of all subclones fall in a narrower range than the product titer, alluding to the role of many functional attributes, other than transgene transcript, on productivity. We cross examined functional class enrichment during selection and amplification as well as between high and low producers and discerned common features among them. We hypothesize that the role of amplification is not merely increasing transcript levels, but also enriching survivors which have developed the cellular machinery for secreting proteins, leading to an increased frequency of isolating high-producing clones. We put forward the possibility of assembling a hyper-productivity gene set through comparative transcriptome analysis of a wide range of samples. Biotechnol. Bioeng. 2014;111: 518–528. © 2013 Wiley Periodicals, Inc.

Conjugation is one of the most common ways bacteria acquire antibiotic resistance, contributing to the emergence of multidrug-resistant “superbugs.” Bacteria of the genus Enterococcus faecalis are highly antibiotic-resistant nosocomial pathogens that use the mechanism of conjugation to spread antibiotic resistance between resistance-bearing donor cells and resistance-deficient recipient cells. Here, we report a unique quorum sensing-based communication system that uses two antagonistic signaling molecules to regulate conjugative transfer of tetracycline-resistance plasmid pCF10 in E. faecalis . A “mate-sensing” peptide sex pheromone produced by recipient cells is detected by donor cells to induce conjugative genetic transfer. Using mathematical modeling and experimentation, we show that a second antagonistic “self-sensing” signaling peptide, previously known to suppress self-induction of donor cells, also serves as a classic quorum-sensing signal for donors that functions to reduce antibiotic-resistance transfer at high donor density. This unique form of quorum sensing may provide a means of limiting the spread of the plasmid and present opportunities to control antibiotic-resistance transfer through manipulation of intercellular signaling, with implications in the clinical setting.

In many gram positive bacteria, horizontal transfer and virulence are regulated by peptide‐mediated cell‐cell signaling. The heptapeptide cCF10 (C) activates conjugative transfer of the Enterococcus faecalis plasmid pCF10, whereas the iCF10 (I) peptide inhibits transfer. Both peptides bind to the same domain of the master transcription regulator PrgX, a repressor of transcription of the prgQ operon encoding conjugation genes. We show that repression of prgQ by PrgX tetramers requires formation of a pCF10 DNA loop where each of two PrgX DNA‐binding sites is occupied by a dimer. I binding to PrgX enhances prgQ repression, while C binding has the opposite effect. Previous models suggested that differential effects of these two peptides on the PrgX oligomerization state accounted for their distinct functions. Our new results demonstrate that both peptides have similar, high‐binding affinity for PrgX, and that both peptides actually promote formation of PrgX tetramers with higher DNA‐binding affinity than Apo‐PrgX. We propose that differences in repression ability of PrgX/peptide complexes result from subtle differences in the structures of DNA‐bound PrgX/peptide complexes. Changes in the induction state of a donor cell likely results from replacement of one type of DNA‐bound peptide/PrgX tetramer with the other.

The liver is responsible for several homeostasis sustaining functions and can lose its regenerative capacity when afflicted with various liver disorders. Attempts to bridge patients to transplantation entail the use of artificial liver devices or cell-based bio-artificial devices. Primary hepatocytes are the preferred cell source, but their scarce availability and loss of function during extended cultures have led the foray for alternate cell sources. Stem-cells present a renewable cell source that can be differentiated into hepatocytes for various clinical applications including extracorporeal liver devices, drug toxicity testing and disease modeling. The path forward includes efforts to further enhance the functional maturity of these stem cell derived hepatocytes and the relevant technology for scaling up these processes. With these in place, stem cell derived hepatocytes have the potential to become standard in regenerative liver therapies in the near future.

Enterococcus faecalis , a common causative agent of hospital-acquired infections, is resistant to many known antibiotics. Its ability to acquire and transfer resistance genes and virulence determinants through conjugative plasmids poses a serious concern for public health. In some cases, induction of transfer of E. faecalis plasmids results from peptide pheromones produced by plasmid-free recipient cells, which are sensed by the plasmid-bearing donor cells. These plasmids generally encode an inhibitory peptide that competes with the pheromone and suppresses self-induction of donors. We recently demonstrated that the inhibitor peptide encoded on plasmid pCF10 is part of a unique quorum-sensing system in which it functions as a “self-sensing signal,” reducing the response to the pheromone in a density-dependent fashion. Based on the similarities between regulatory features controlling conjugation in pAD1 and pAM373 and those controlling conjugation in pCF10, we hypothesized that these plasmids are likely to exhibit similar quorum-sensing behaviors. Experimental findings indicate that for both pAD1 and pAM373, high donor densities indeed resulted in decreased induction of the conjugation operon and reduced conjugation frequencies. This effect was restored by the addition of exogenous inhibitor, confirming that the inhibitor serves as an indicator for donor density. Donor density also affects cross-species conjugative plasmid transfer. Based on our experimental results, we propose models for induction and shutdown of the conjugation operon in pAD1 and pAM373. IMPORTANCE Enterococcus faecalis is a leading cause of hospital-acquired infections. Its ability to transfer antibiotic resistance and virulence determinants by sharing its genetic material with other bacteria through direct cell-cell contact via conjugation poses a serious threat. Two antagonistic signaling peptides control the transfer of plasmids pAD1 and pAM373: a peptide pheromone produced by plasmid-free recipients triggers the conjugative transfer in plasmid-containing donors, and an inhibitor peptide encoded on the plasmid and produced by donor cells serves to modulate the donor response in accordance with the relative abundance of donors and recipients. We demonstrate that high donor density reduces the conjugation frequency of both of these plasmids, which is a consequence of increased inhibitor concentration in high-donor-density cultures. While most antibiotic strategies end up selecting resistant strains and disrupting the community balance, manipulating bacterial signaling mechanisms can serve as an alternate strategy to prevent the spread of antibiotic resistance.

Multivariate analysis of cell culture bioprocess data has the potential of unveiling hidden process characteristics and providing new insights into factors affecting process performance. This study investigated the time-series data of 134 process parameters acquired throughout the inoculum train and the production bioreactors of 243 runs at the Genentech's Vacaville manufacturing facility. Two multivariate methods, kernel-based support vector regression (SVR) and partial least square regression (PLSR), were used to predict the final antibody concentration and the final lactate concentration. Both product titer and the final lactate level were shown to be predicted accurately when data from the early stages of the production scale were employed. Using only process data from the inoculum train, the prediction accuracy of the final process outcome was lower; the results nevertheless suggested that the history of the culture may exert significant influence on the final process outcome. The parameters contributing most significantly to the prediction accuracy were related to lactate metabolism and cell viability in both the production scale and the inoculum train. Lactate consumption, which occurred rather independently of the residual glucose and lactate concentrations, was shown to be a prominent factor in determining the final outcome of production-scale cultures. The results suggest possible opportunities to intervene in metabolism, steering it towards the type with a strong propensity towards high productivity. Such intervention could occur in the inoculum stage or in the early stage of the production-scale reactors. Overall, this study presents pattern recognition as an important process analytical technology (PAT). Furthermore, the high correlation between lactate consumption and high productivity can provide a guide to apply quality by design (QbD) principles to enhance process robustness.

Multipotent adult progenitor cells (MAPC) are bone marrow-derived stem cells with a high growth rate suitable for therapeutical applications as three-dimensional (3D) aggregates. Combined applications of osteogenically differentiated MAPC (OD-MAPC) aggregates and adeno-associated viral vectors (AAV) in bone bioengineering are still deferred until information regarding expansion technologies, osteogenic potential, and AAV cytotoxicity and transduction efficiency is better understood. In this study, we tested whether self-complementary AAV (scAAV) can potentially be used as a gene delivery system in a OD-MAPC-based “in vivo” bone formation model in the craniofacial region. Both expansion of rat MAPC (rMAPC) and osteogenic differentiation with dexamethasone were also tested in 3D aggregate culture systems “in vitro” and “vivo”. Rat MAPCs (rMAPCs) grew as undifferentiated aggregates for 4 days with a population doubling time of 37h. After expansion, constant levels of Oct4 transcripts, and Oct4 and CD31 surface markers were observed, which constitute a hallmark of rMAPCs undifferentiated stage. Dexamethasone effectively mediated rMAPC osteogenic differentiation by inducing the formation of a mineralized collagen type I network, and facilitated the activation of the wnt/β-catenin, a crucial pathway in skeletal development. To investigate the genetic modification of rMAPCs grown as 3D aggregates prior to implantation, scAAV serotypes 2, 3, and 6 were evaluated. scAAV6 packaged with the enhanced green fluorescent protein expression cassette efficiently mediated long-term transduction (10 days) “in vitro” and “vivo”. The reporter transduction event allowed the tracing of OD-rMAPC (induced by dexamethasone) aggregates following OD-rMAPC transfer into a macro-porous hydroxyapatite scaffold implanted in a rat calvaria model. Furthermore, the scAAV6-transduced OD-rMAPC generated a bone-like matrix with a collagenous matrix rich in bone specific proteins (osteocalcin and osteopontin) in the scaffold macro-pores 10 days post-implantation. Newly formed bone was also observed in the interface between native bone and scaffold. The collective work supports future bone tissue engineering applications of 3D MAPC cultures for expansion, bone formation, and the ability to genetically alter these cells using scAAV vectors.

Population balance modeling is considered for cell populations in gene regulatory processes in which one or more intracellular variables undergo stochastic dynamics as determined by Ito stochastic differential equations. This paper addresses formulation and computational issues with sample applications to the spread of drug resistance among bacterial cells. It is shown that predictions from population balances can display qualitative differences from those made with single cell models which are usually encountered in the literature. Such differences are deemed to be important.

Hepatocyte-like cells derived from stem cells hold great potential for clinical and pharmaceutical applications, including high-throughput drug toxicity screening. We report a three-dimensional aggregate culture system for the directed differentiation of adult rat bone marrow-derived stem cells, rat multipotent adult progenitor cells, to hepatocyte-like cells. Compared to adherent monolayer cultures, differentiation in the aggregate culture system resulted in significantly higher expression level of liver-specific transcripts, including an increased albumin mRNA level, and higher levels of albumin and urea secretion. This coincides with the presence of significantly more cells that express intracellular albumin at levels found in primary hepatocytes. The differentiated cell aggregates exhibited cytochrome P450-mediated ethoxyresorufin-O-dealkylation and pentoxyresorufin-O-dealkylation activity. Consistent with these increased mature functions, cells within the aggregates were shown to have many ultrastructural features of mature hepatocytes by transmission electron microscopy. With the scalability of the aggregate culture system and the enhanced differentiation capability, this system may facilitate translation of generating hepatocytes from stem cells to technology.

Summary Conjugation is an important mode of horizontal gene transfer in bacteria, enhancing the spread of antibiotic resistance. In clinical settings, biofilms are likely locations for antibiotic resistance transfer events involving nosocomial pathogens such as Enterococcus faecalis. Here we demonstrate that growth in biofilms alters the induction of conjugation by a sex pheromone in E. faecalis. Mathematical modelling suggested that a higher plasmid copy number in biofilm cells would enhance a switch-like behaviour in the pheromone response of donor cells with a delayed, but increased response to the mating signal. Alterations in plasmid copy number, and a bimodal response to induction of conjugation in populations of plasmid-containing donor cells were both observed in biofilms, consistent with the predictions of the model. The pheromone system may have evolved such that donor cells in biofilms are only induced to transfer when they are in extremely close proximity to potential recipients in the biofilm community. These results may have important implications for development of chemotherapeutic agents to block resistance transfer and treat biofilm-related clinical infections.

Advances in stem cell research and recent work on clinical trials employing stem cells have heightened the prospect of stem cell applications in regenerative medicine. The eventual clinical application of stem cells will require transforming cell production from laboratory practices to robust processes. Most stem cell applications will require extensive ex vivo handling of cells, from isolation, cultivation, and directed differentiation to product cell separation, cell derivation, and final formulation. Some applications require large quantities of cells in each defined batch for clinical use in multiple patients; others may be for autologous use and require only small-scale operations. All share a common requirement: the production must be robust and generate cell products of consistent quality. Unlike the established manufacturing process of recombinant protein biologics, stem cell applications will likely see greater variability in their cell source and more fluctuations in product quality. Nevertheless, in devising stem cell-based bioprocesses, much insight could be gained from the manufacturing of biological materials, including recombinant proteins and anti-viral vaccines. The key to process robustness is thus not only the control of traditional process chemical and physical variables, but also the sustenance of cells in the desired potency or differentiation state through controlling non-traditional variables, such as signaling pathway modulators.

Streptomycetes have high biotechnological relevance as producers of diverse metabolites widely used in medical and agricultural applications. The biosynthesis of these metabolites is controlled by signalling molecules, γ‐butyrolactones, that act as bacterial hormones. In Streptomyces coelicolor, a group of signalling molecules called SCBs (S. coelicolorbutanolides) regulates production of the pigmented antibiotics coelicolor polyketide (CPK), actinorhodin and undecylprodigiosin. The γ‐butyrolactone synthase ScbA is responsible for the biosynthesis of SCBs. Here we show the results of a genome‐wide transcriptome analysis of a scbA deletion mutant prior to and during the transition to antibiotic production. We report a strong perturbation in the expression of three pigmented antibiotic clusters in the mutant throughout the growth curve, thus providing a molecular explanation for the antibiotic phenotype observed previously. Our study also revealed, for the first time, that the secondary metabolite cluster responsible for synthesis of the siderophore desferrioxamine is under the control of SCB signalling. Moreover, expression of the genes encoding enzymes for primary metabolism pathways, which supply antibiotic precursors and genes for morphological differentiation, was found shifted earlier in time in the mutant. In conclusion, our time series analysis demonstrates new details of the regulatory effects of the γ‐butyrolactone system in Streptomyces.

Cultured mammalian cells are major vehicles for producing therapeutic proteins, and energy metabolism in those cells profoundly affects process productivity. The characteristic high glucose consumption and lactate production of industrial cell lines as well as their adverse effects on productivity have been the target of both cell line and process improvement for several decades. Recent research advances have shed new light on regulation of glucose metabolism and its links to cell proliferation. This review highlights our current understanding in this area of crucial importance in bioprocessing and further discusses strategies for harnessing new findings toward process enhancement through the manipulation of cellular energy metabolism.

Current techniques for quantitative proteomics focus mainly on measuring overall protein dynamics, which is the net result of protein synthesis and degradation. Understanding the rate of this synthesis/degradation is essential to fully appreciate cellular dynamics and bridge the gap between transcriptome and proteome data. Protein turnover rates can be estimated through "label-chase" experiments employing stable isotope-labeled precursors; however, the implicit assumption of steady-state in such analyses may not be applicable for many intrinsically dynamic systems. In this study, we present a novel extension of the "label-chase" concept using SILAC and a secondary labeling step with iTRAQ reagents to estimate protein turnover rates in Streptomyces coelicolor cultures undergoing transition from exponential growth to stationary phase. Such processes are of significance in Streptomyces biology as they pertain to the onset of synthesis of numerous therapeutically important secondary metabolites. The dual labeling strategy enabled decoupling of labeled peptide identification and quantification of degradation dynamics at MS and MS/MS scans respectively. Tandem mass spectrometry analysis of these multitagged proteins enabled estimation of degradation rates for 115 highly abundant proteins in S. coelicolor. We compared the rate constants obtained using this dual labeling approach with those from a SILAC-only analysis (assuming steady-state) and show that significant differences are generally observed only among proteins displaying considerable temporal dynamics and that the directions of these differences are largely consistent with theoretical predictions.

Chinese hamster ovary (CHO) cells are widely used in recombinant protein production, yet despite their importance in bioprocessing, few genomic resources have been developed for this cell line. Over the past several years, we have made considerable progress in the development of genomic tools for CHO. Using Sanger-based sequencing technology, we have accrued a sequence repertoire of more than 68,000 expressed sequence tags (ESTs), representing more than 28,000 unique CHO transcripts. Using closely related species, we have functionally annotated this sequence set and have currently achieved significant representation in a number of functional classes, including some closely tied to recombinant protein production. This sequence repository has been used to design custom CHO Affymetrix arrays for transcriptome analysis. Illumina Solexa deep sequencing technology was also applied to study the CHO cell transcriptome and survey the identity and expression of small RNAs. These applications demonstrate the utility of genomic tools, and illustrate the applicability of emerging next-generation sequencing technologies.

In the past decade we have witnessed a drastic increase in the productivity of mammalian cell culture-based processes. High-producing cell lines that synthesize and secrete these therapeutics have contributed largely to the advances in process development. To elucidate the productivity trait in the context of physiological functions, the transcriptomes of several NS0 cell lines with a wide range of antibody productivity were compared. Gene set testing (GST) analysis was used to identify pathways and biological functions that are altered in high producers. Three complementary tools for GST-gene set enrichment analysis (GSEA), gene set analysis (GSA), and MAPPFinder, were used to identify groups of functionally coherent genes that are up- or downregulated in high producers. Major functional classes identified include those involved in protein processing and transport, such as protein modification, vesicle trafficking, and protein turnover. A significant proportion of genes involved in mitochondrial ribosomal function, cell cycle regulation, cytoskeleton-related elements are also differentially altered in high producers. The observed correlation of these functional classes with productivity suggests that simultaneous modulation of several physiological functions is a potential route to high productivity.

DNA microarray technology has been widely utilized for species with extensive genome sequence information available. Given the limited genomic information pertaining to Chinese hamster ovary (CHO) cell line, cross-species hybridization using mouse microarrays provides a viable alternative. In this study, the utility of mouse Affymetrix microarrays for transcriptome profiling in CHO cells was assessed by hybridizing identical sets of cRNA samples from CHO cells on both mouse and CHO Affymetrix microarrays. Expression level measured by probe sets for orthologous transcripts on the two microarrays was compared. Only a fraction of the orthologous probes which detected expression calls in same species hybridization were similarly called present in cross species hybridization. In further analysis at the 25-mer probe level, it was revealed that specific hybridization signals were detectable by the subset of mouse probes that have a high degree of homology to the corresponding CHO sequences. The feasibility of cross species hybridization for quantifying the extent of differential expression was assessed by comparing transcript levels of CHO cells cultivated with and without sodium butyrate. While same species hybridization gave consistent degree of differential expression calls in replicated runs, a much inferior ability in quantifying differential expression was seen with cross species hybridization. Our results demonstrate that through detailed analysis of homology at the probe pair level, a subset of probes on existing mouse Affymetrix oligo-array can be used successfully for transcriptome profiling of CHO cells.

Modern biotechnology production plants are equipped with sophisticated control, data logging and archiving systems. These data hold a wealth of information that might shed light on the cause of process outcome fluctuations, whether the outcome of concern is productivity or product quality. These data might also provide clues on means to further improve process outcome. Data-driven knowledge discovery approaches can potentially unveil hidden information, predict process outcome, and provide insights on implementing robust processes. Here we describe the steps involved in process data mining with an emphasis on recent advances in data mining methods pertinent to the unique characteristics of biological process data.

Temperature shift is often practiced in the cultivation of Escherichia coli to reduce undesired metabolite formation and to maximize synthesis of correctly folded heterologous protein. As the culture temperature is decreased below the optimal 37 degrees C, growth rate decreases and many physiological changes occur. In this study, we investigated the gene expression dynamics of E. coli on switching its cultivation temperature from 37 to 33 and 28 degrees C using whole genome DNA microarrays. Approximately 9% of the genome altered expression level on temperature shift. Overall, the alteration of transcription upon the downshift of temperature is rapid and globally distributed over a wide range of gene classes. The general trends of transcriptional changes at 28 and 33 degrees C were similar. The largest functional class among the differentially expressed genes was energy metabolism. About 12% of genes in energy metabolism show a decrease in their level of expression, and approximately 6% show an increase. Consistent with the decrease in the glucose uptake rate, many genes involved in glycolysis and the PTS sugar transport systems show decreased expression. Genes encoding enzymes related to amino acid biosynthesis and transport also have reduced expression levels. Such decrease in expression probably reflects the reduced growth rate and the accompanying reduction in energy and amino acid demand at lower temperatures. However, nearly all genes encoding enzymes in the TCA cycle have increased expression levels, which may well be compensating the reduction of the activity of TCA cycle enzymes at lower temperatures. Temperature shift also results in shift of the cytochromes from the high affinity cytochrome o system to the low affinity cytochrome d system. There is no evidence that protein processing genes are selectively altered to create favorable conditions for heterologous protein synthesis. Our results indicate that the beneficial effect of temperature shift in many biotechnological processes is likely to be attributed to the general effect of reduced growth and metabolism.

In the past few years, transcriptome analysis has been increasingly employed to better understand the physiology of Chinese hamster ovary (CHO) cells at a global level. As more transcriptome data accumulated, meta-analysis on data sets collected from various sources can potentially provide better insights on common properties of those cells. Here, we performed meta-analysis on transcriptome data of different CHO cell lines obtained using NimbleGen or Affymetrix microarray platforms. Hierarchical clustering, non-negative matrix factorization (NMF) analysis, and principal component analysis (PCA) accordantly showed the samples were clustered into two groups: one consists of adherent cells in serum-containing medium, and the other suspension cells in serum-free medium. Genes that were differentially expressed between the two clusters were enriched in a few functional classes by Database for Annotation, Visualization, and Integrated Discovery (DAVID) of which many were common with the enriched gene sets identified by Gene Set Enrichment Analysis (GSEA), including extracellular matrix (ECM) receptor interaction, cell adhesion molecules (CAMs), and lipid related metabolism pathways. Despite the heterogeneous sources of the cell samples, the adherent and suspension growth characteristics and serum-supplementation appear to be a dominant feature in the transcriptome. The results demonstrated that meta-analysis of transcriptome could uncover features in combined data sets that individual data set might not reveal. As transcriptome data sets accumulate over time, meta-analysis will become even more revealing. Biotechnol. Bioeng. 2017;114: 1583-1592. © 2017 Wiley Periodicals, Inc.

Recombinant mammalian cells are used to produce numerous, high-value protein therapeutics. Generating hyper-producing cell lines is crucial for delivery of products to ailing patients. Better understanding of the complex trait of hyperproductivity can facilitate the creation of hyper-producing cell lines. Ruminating over the reported transcriptomic and proteomic studies, we attempt to assess whether high productivity response is a result of minute changes occurring globally or large alterations observed locally at the molecular level. We present here our philosophical perspective on the alternative routes to high productivity. We contend that given the advances in genome-scale technologies and data analysis approaches, insights gained from elucidating the gene-trait relationship underlying hyperproductivity will accelerate the development of hyperproductive processes.

Mammalian cell-derived protein therapeutic production has changed the landscape of human healthcare in the past two decades. The importance of protein therapeutics has motivated the search for more cost-effective and efficient cell lines capable of producing high quality protein products. The factors contributing to optimal producer cell lines are often complex, and not simply conferred by one gene or gene product, which makes an understanding of system-wide properties for better engineering of optimized cell lines essential. Genome-scale technologies (genomics, transcriptomics and proteomics) enable such engineering studies. However, the use of these technologies in cell culture engineering is still in its infancy. Here, we summarize current knowledge of cell properties important for the design of efficient protein-producing mammalian cell lines, and highlight relevant studies to-date that use genome-scale technologies in these cell systems. We also provide a focused review of relevant alternative and emerging technologies, which have seen limited use in cell culture engineering, but hold great potential for significant advancements in protein therapeutic production.

DNA microarray based transcriptome analysis has become widely used in biomedical research; however, the lack of DNA sequence information available for Chinese hamster ovary (CHO) cells has hampered the application of microarrays for this cell line widely used for recombinant therapeutic protein production. We have constructed an expressed sequence tag (EST) based CHO DNA microarray and employed it for comparative transcriptome analysis of CHO cells and mouse hybridoma cells treated with sodium butyrate. Cross-species hybridization of CHO transcripts to mouse DNA microarrays was also performed to assess the utility of cross-species microarray. The average identity among probe sequences present on both the CHO and mouse microarray was 89.6%. Although cross-species hybridization yielded non-contradicting results when compared with the same-species arrays, decreased sensitivity was observed and resulted in fewer differentially expressed genes being confidently identified. The comparatively small number of genes probed using the CHO microarray and the low number of genes identified as differentially expressed in the cross-species hybridization limited physiological interpretation of the response of CHO cells to sodium butyrate treatment. Nevertheless, when all results are combined, mouse hybridoma and CHO cells can be seen to respond similarly to butyrate treatment, affecting histone modification, chaperones, lipid metabolism, and protein processing. To further develop the utility of microarray technology in cell culture process development, an expansion of current CHO cell sequencing efforts to increase the coverage of genes on available microarrays is warranted.

Cultured mammalian cells exhibit elevated glycolysis flux and high lactate production. In the industrial bioprocesses for biotherapeutic protein production, glucose is supplemented to the culture medium to sustain continued cell growth resulting in the accumulation of lactate to high levels. In such fed-batch cultures, sometimes a metabolic shift from a state of high glycolysis flux and high lactate production to a state of low glycolysis flux and low lactate production or even lactate consumption is observed. While in other cases with very similar culture conditions, the same cell line and medium, cells continue to produce lactate. A metabolic shift to lactate consumption has been correlated to the productivity of the process. Cultures that exhibited the metabolic shift to lactate consumption had higher titers than those which didn’t. However, the cues that trigger the metabolic shift to lactate consumption state (or low lactate production state) are yet to be identified. Metabolic control of cells is tightly linked to growth control through signaling pathways such as the AKT pathway. We have previously shown that the glycolysis of proliferating cells can exhibit bistability with well-segregated high flux and low flux states. Low lactate production (or lactate consumption) is possible only at a low glycolysis flux state. In this study, we use mathematical modeling to demonstrate that lactate inhibition together with AKT regulation on glycolysis enzymes can profoundly influence the bistable behavior, resulting in a complex steady-state topology. The transition from the high flux state to the low flux state can only occur in certain regions of the steady state topology, and therefore the metabolic fate of the cells depends on their metabolic trajectory encountering the region that allows such a metabolic state switch. Insights from such switch behavior present us with new means to control the metabolism of mammalian cells in fed-batch cultures.

A hydroxyapatite-gelatin nanocomposite system has been developed to resemble the composition and ultrastructure of natural bone for the application of tissue engineering. In the current study, variations in composition—content of gelatin and glutaraldehyde crosslinker—were examined in the context of mechanical properties and material biocompatibility. It was found that increasing the gelatin concentration resulted in a decreased hydroxyapatite crystal length and was associated with a slight increase in elastic modulus. Increases in gelatin and glutaraldehyde content were associated with increased material fracture toughness. Cellular biocompatibility tests, including cellular attachment and proliferation assays, were also used to assist in the process of optimizing gelatin and glutaraldehyde content. Optimized biomimetic nanocomposite materials for in vivo applications will likely be a compromise between the improved mechanical properties and decreased cytocompatibility associated with increased glutaraldehyde contents.

For the cultivation of mammalian cells on microcarriers a minimum inoculum concentration is required to initiate cell attachment and subsequent cell growth. A critical cell number model has been proposed to elucidate the mechanism of the inoculum requirement. In this model it was hypothesized that after inoculation a critical number of cells per microcarrier is required for normal growth to occur; failure to acquire enough cells will impede cell growth. This critical cell number model was expressed mathematically and used to simulate cell distribution and growth on microcarriers under different cultivation conditions. By comparing the simulated growth kinetics with the experimental results, the actual critical cell number per microcarrier was identified. The critical number could be reduced by employing an improved medium for the cultivation.

Professor Daniel I.C. Wang has conducted research in animal cell culture for approximately 40 years. Over that long time period and still to this day, he successfully addresses a multitude of engineering challenges, taking a unique, creative, systems-driven but still fundamental approach. As mammalian cell culture has become the predominant method of manufacturing therapeutic proteins, the impact of his leadership, not only in research but also student recruitment and education, has played a key role in the success of the bio/pharmaceutical industry.

A major goal of liver tissue engineering is to understand how the constituent cell types interact to achieve liver-specific structure and function. Here we show that hepatocytes migrate toward and adhere to endothelial vascular structures formed on Matrigel in vitro, and that hepatocyte recruitment is dependent on endothelium-derived hepatocyte growth factor. The hepatocyte-decorated endothelial vascular structures resemble In vivo sinusoids containing plate-like structures, bile canaliculi, and a lumen. The sinusoid-like structures retained cytochrome P450 expression and activity, in addition to stable albumin expression and secretion rate for over 2 months in vitro. The stability of the sinusoid-like structures was dependent on the presence of vimentin-positive fibroblasts in culture. The sinusoid-like structures formed by hepatocytes and pure populations of endothelial cells collapsed after 10 days in culture. In contrast, culture of hepatocytes with fibroblast-contaminated human dermal microvascular endothelial cells or a combination of human umbilical vein endothelial cells and normal human dermal fibroblasts resulted in stable sinusoid-like structures surrounded by a fibroblastic capsule that maintained liver specific functions for several months in vitro. These results demonstrate that specification of endothelial cell position ultimately determines hepatocyte position in vitro, suggesting that similar interactions might occur In vivo. The novelty of the culture's sinusoid-like organization and long-term function suggest a new model for the study of liver toxicity, ischemia/reperfusion injury, and fibrosis.

Genomic and proteomic based global gene expression profiling has altered the landscape of biological research in the past few years. Its potential impact on cell culture bioprocessing has only begun to emanate, partly due to the lack of genomic sequence information for the most widely used industrial cells, Chinese hamster ovary (CHO) cells. Transcriptome and proteome profiling work for species lacking extensive genomic resources must rely on information for other related species or on data obtained from expressed sequence tag (EST) sequencing projects, for which burgeoning efforts have only recently begun. This article discusses the aspects of EST sequencing in those industrially important, genomic resources-poor cell lines, articulates some of the unique features in employing microarray in the study of cultured cells, and highlights the infrastructural needs in establishing a platform for genomics based cell culture research. Recent experience has revealed that generally, most changes in culture conditions only elicit a moderate level of alteration in gene expression. Nevertheless, by broadening the conventional scope of microarray analysis to consider estimated levels of transcript abundance, much physiological insight can be gained. Examples of the application of microarray in cell culture are discussed, and the utility of pattern identification and process diagnosis are highlighted. As genomic resources continue to expand, the power of genomic tools in cell culture processing research will be amply evident. The key to harnessing the immense benefit of these genomic resources resides in the development of physiological understanding from their application.

A combined transcriptome and proteome analysis was carried out to identify key genes and proteins differentially expressed in Chinese hamster ovary (CHO) cells producing high and low levels of dhfr-GFP fusion protein. Comparison of transcript levels was performed using a proprietary 15K CHO cDNA microarray chip, whereas proteomic analysis was performed using iTRAQ quantitative protein profiling technique. Microarray analysis revealed 77 differentially expressed genes, with 53 genes upregulated and 24 genes downregulated. Proteomic analysis gave 75 and 80 proteins for the midexponential and stationary phase, respectively. Although there was a general lack of correlation between mRNA levels and quantitated protein abundance, results from both datasets concurred on groups of proteins/genes based on functional categorization. A number of genes (20%) and proteins (45 and 23%) were involved in processes related to protein biosynthesis. We also identified three genes/proteins involved in chromatin modification. Enzymes responsible for opening up chromatin, Hmgn3 and Hmgb1, were upregulated whereas enzymes that condense chromatin, histone H1.2, were downregulated. Genes and proteins that promote cell growth (Igfbp4, Ptma, S100a6, and Lgals3) were downregulated, whereas those that deter cell growth (Ccng2, Gsg2, and S100a11) were upregulated. Other main groups of genes and proteins include carbohydrate metabolism, signal transduction, and transport. Our findings show that an integrated genomic and proteomics approach can be effectively utilized to monitor transcriptional and posttranscriptional events of mammalian cells in culture.

NS0 is a host cell line widely used for the production of recombinant therapeutic proteins. In this work, we investigated the cholesterol-dependent phenotype of NS0 cells. Growth response to different precursors and comparative transcript analyses pointed to deficiency of 17beta-hydroxysteroid dehydrogenase type 7 (Hsd17b7) in NS0 cells. Hsd17b7 was previously shown to encode for an enzyme involved in estrogenic steroid biosynthesis. Its recent cloning into a yeast mutant deficient in ERG27 led to its functional characterization as the 3-ketoreductase of the cholesterol biosynthesis pathway. To ascertain that its cholesterol biosynthesis is blocked at the reduction reaction catalyzed by Hsd17b7, we genetically engineered NS0 cells to over express Hsd17b7. The stable transfectants of Hsd17b7 were able to grow independent of cholesterol. The results affirm the role of Hsd17b7 in the cholesterol biosynthesis pathway in mammals. Further, the findings allow for rational engineering of this industrially important cell line to alleviate their cholesterol dependence.

UNLABELLED TimeView is a MATLAB program that compares multiple temporal datasets from microarray experiments under two or more conditions, for example, temporal variation of cellular response upon exposure to different drugs. The current paucity of programs designed to efficiently compare and visualise gene expression profiles in such datasets led us to design TimeView, which also enhances data visualisation by plotting the expression profiles of a large number of genes on a single screen. AVAILABILITY TimeView is available free of charge to all users at http://hugroup.cems.umn.edu/Research/Genomics/Timeview/timeview.htm. To use TimeView, users will require access to the commercial software MATLAB (version 6.5). A help document is available on the TimeView website.

Glycosylation has profound effects on the quality of recombinant proteins produced in mammalian cells. The biosynthetic pathways of N-linked glycans on glycoproteins involves a relatively small number of enzymes and nucleotide sugars. Many of these glycoconjugate enzymes can utilize multiple N-glycans as substrates, thus generating a large number of glycan intermediates, and making the biosynthetic pathway resemble a network with diverging and converging paths. The N-glycans on secreted glycoprotein molecules include not only terminal glycans, but also pathway intermediates. To better assess the glycan distribution and the potential route of their synthesis, we created GlycoVis, a visualization program that displays the distribution and the potential reaction paths leading to each N-glycan on the reaction network. The substrate specificities of the enzymes involved were organized into a relationship matrix. With the input of glycan distribution data, the program outputs a reaction pathway map which labels the relative abundance levels of different glycans with different colors. The program also traces all possible reaction paths leading to each glycan and identifies each pathway on the map. Glycoform distribution of Chinese Hamster Ovary cell-derived tissue plasminogen activator (TPA), and human and mouse IgG were used as illustrations for the application of GlycoVis. In addition, the intracellular and secreted IgG from an NS0 producer cell line were isolated, and their glycoform profiles were displayed using GlycoVis for comparison. This visualization tool facilitates the analysis of potential reaction paths utilized under different physiological or culture conditions, and may provide insight on the potential targets for metabolic engineering.

NS0 is a cholesterol-requiring mouse myeloma cell line widely used in the production of recombinant antibodies. We have previously reported that the deficiency of 17beta-hydroxysteroid dehydrogenase type7 (Hsd17b7) is responsible for the cholesterol auxotrophy of NS0 cells. Here we demonstrate DNA methylation to be the mechanism underlying transcriptional suppression of Hsd17b7 in cholesterol dependent NS0 cells. Analysis of the DNA methylation pattern revealed methylation of the CpG-rich region upstream of the Hsd17b7 transcription start site in NS0 cells. This is in contrast to the unmethylated status of this sequence in a naturally isolated cholesterol independent revertant cell population (NS0_r). This transcriptional repression was relieved after treating cells with the demethylating drug, 5-azacytidine. Drug treatment also gave rise to high frequency cholesterol-independent variants. Characterization of revertants revealed substantially elevated transcript level of 17beta-hydroxysteroid dehydrogenase type7 (Hsd17b7) gene along with hypomethylation of the CpG-rich region. These results affirm that deficiency of Hsd17b7 causes cholesterol dependence of NS0 cells. Furthermore, induction of cholesterol independence by altering DNA methylation pattern alludes to the role of epigenetics in the metabolic adaptation of NS0 cells. With the widespread use of NS0 cells, this finding will have a significant impact on the optimization of recombinant antibody production processes.

Transcriptional regulation in differentiating microorganisms is highly dynamic involving multiple and interwinding circuits consisted of many regulatory genes. Elucidation of these networks may provide the key to harness the full capacity of many organisms that produce natural products. A powerful tool evolved in the past decade is global transcriptional study of mutants in which one or more key regulatory genes of interest have been deleted. To study regulatory mutants of Streptomyces coelicolor, we developed a framework of systematic analysis of gene expression dynamics. Instead of pair-wise comparison of samples in different combinations, genomic DNA was used as a common reference for all samples in microarray assays, thus, enabling direct comparison of gene transcription dynamics across different isogenic mutants. As growth and various differentiation events may unfold at different rates in different mutants, the global transcription profiles of each mutant were first aligned computationally to those of the wild type, with respect to the corresponding growth and differentiation stages, prior to identification of kinetically differentially expressed genes. The genome scale transcriptome data from wild type and a DeltaabsA1 mutant of Streptomyces coelicolor were analyzed within this framework, and the regulatory elements affected by the gene knockout were identified. This methodology should find general applications in the analysis of other mutants in our repertoire and in other biological systems.

Stem cells have the capacity for self renewal and undergo multilineage differentiation. Stem cells isolated from both blastocysts and adult tissues represent valuable sources of cells for applications in cell therapy, drug screening and tissue engineering. While expanding stem cells in culture, it is critical to maintain their self‐renewal and differentiation capacity. In generating particular cell types for specific applications, it is important to direct their differentiation to the desired lineage. In vitro differentiation of stem cells usually produces a mixed population of different cell lineages with the desired cell type present only at a small proportion. Use of growth factors that promote differentiation, and expansion or survival of specific cell types are key in controlling the differentiation towards specific cell lineages. Our limited knowledge of their growth conditions as well as lack of appropriate markers associated with different stages of differentiation hinders the widespread ...

Real-time polymerase chain reaction (PCR) is one of the most sensitive and accurate methods for quantifying transcript levels especially for those expressed at low abundance. The selective amplification of target DNA over multiple cycles allows its initial concentration to be determined. The amplification rate is a complex interplay of the operating conditions, initial reactant concentrations, and reaction rate constants. Experimentally, the compounded effect of all factors is quantified in terms of an effective efficiency, which is estimated by curve fitting to the amplification data. We present a comprehensive model of PCR to study the effect of various reactant concentrations on the amplification efficiency. The model is used to calculate the kinetic progression of the target DNA concentration with cycle number under conditions when different species are stoichiometrically or kinetically limiting. The reaction efficiency remains constant for the initial cycles. As the primer concentration becomes limiting, the efficiency is marked by a gradual decrease. This is in contrast to a steep decline under nucleotide limiting conditions. Under some conditions, commonly used experimentally, increasing primer concentration has the adverse effect of reducing the final amplified template concentration. This phenomenon seen at times experimentally is explained by the simulation results under rate limiting enzyme concentrations. Primer dimer formation is shown to significantly affect the reaction rates, effective efficiency, and the estimated initial concentrations. This model, by describing the interplay of the many operating variables, will be a useful tool in designing PCR conditions and evaluating its results.

Chinese hamster ovary (CHO) cells are one of the most important cell lines in biological research, and are the most widely used host for industrial production of recombinant therapeutic proteins. Despite their extensive applications, little sequence information is available for molecular based research. To facilitate gene discovery and genetic engineering, two cDNA libraries were constructed from three CHO cell lines grown under various conditions. The average insert size for both libraries is approximately 800-850 bp, and each library has comparable redundancy levels of 36%-38% for the sequences isolated. Random sequencing of 4,608 ESTs yielded 2,602 unique assemblies, 76% of which were annotated as orthologs of sequences in the GenBank database. A high abundance of mitochondrial genome transcripts facilitated the assembly of the complete mitochondrial genome by PCR walking. Comparative analysis of sequences from both mitochondrial and nuclear genomes with orthologous genes from other species shows that CHO sequences are generally most similar to mouse; however, examples with highest similarity to rat or human are common. A cDNA microarray, including all 4,608 ESTs, was constructed. The microarray results reveal a high level of consistency between transcript abundance in the libraries and fluorescence intensities. Inclusion of redundant clones in the microarray, additionally, allows small changes in abundant mRNAs to be discerned with a high degree of confidence. The information and tools generated provide access to genomic technology for this important cell line.

DNA microarrays are extensively used for the quantification of the degree of differential mRNA expression. The assay involves hybridization of mobile DNA strands with immobilized complementary DNA strands to form duplexes. The overall duplex formation rate depends on the rate of transport of strands in solution to the corresponding spot on the surface, and the rate of the hybridization reaction. We present a theoretical model that incorporates both kinetics of the reversible hybridization reaction and diffusional transport of the labeled strands, and analyze DNA microarray hybridization using this model. Simulations are carried out in a geometrically realistic domain for labeled DNA concentrations corresponding to rare and abundant transcripts for typical assay conditions. The rate of strand diffusion in solution is shown to strongly affect the overall hybridization rate. We compute the minimum inter-spot spacing for replicate spots to enhance sensitivity. We also determine the hybridization time for which reliable estimates of the relative mRNA abundance of two species can be obtained using total fluorescence intensities. An analytical solution for the concentration distribution of mobile strands at intermediate hybridization times provides a convenient tool to calculate the mobile strand concentration profiles. This model provides a framework for the process analysis of all microarray assays currently used for genomic transcriptional analysis.

Hepatocytes self-assemble in culture to form compacted spherical aggregates, or spheroids, that mimic the structure of the liver by forming tight junctions and bile canalicular channels. Hepatocyte spheroids thus resemble the liver to a great extent. However, liver tissue contains other cell types and has bile ducts and sinusoids formed by endothelial cells. Reproducing 3-D co-culture in vitro could provide a means to develop a more complex tissue-like structure. Stellate cells participate in revascularization after liver injury by excreting between hepatocytes a laminin trail that endothelial cells follow to form sinusoids. In this study we investigated co-culture of rat hepatocytes and a rat hepatic stellate cell line, HSC-T6. HSC-T6, which does not grow in serum-free spheroid medium, was able to grow under co-culture conditions. Using a three-dimensional cell tracking technique, the interactions of HSC-T6 and hepatocyte spheroids were visualized. The two cell types formed heterospheroids in culture, and HSC-T6 cell invasion into hepatocyte spheroids and subsequent retraction was observed. RT-PCR revealed that albumin and cytochrome P450 2B1/2 expression were better maintained in co-culture conditions. These three-dimensional heterospheroids provide an attractive system for in vitro studies of hepatocyte-stellate cell interactions.

The metabolic state of hybridoma cells in continuous culture varies with the cultivation condition from which the culture is initiated. At a metabolically shifted state, cells have markedly reduced glucose and other nutrient consumption and lactate production as compared to cells in batch culture or in continuous culture without a metabolic shift. Taking a combined genomics and proteomics approach, we investigated the molecular mechanism of metabolic shift. Cells from continuous cultures at two different steady states with a glucose consumption to lactate production molar ratio (DeltaL/DeltaG) of 0.08 and 1.4 were studied. Affymetrix GeneChips as well as cDNA microarrays were employed to identify differentially expressed mRNA transcripts, and the differentially expressed proteins were identified using the 2D gel electrophoresis-mass spectrometry approach. The decrease in glucose metabolism upon metabolic shift is accompanied by a decrease in gene expression of a number of genes involved in its metabolism. However, the number of genes differentially expressed and the extent of differential expression upon metabolic shift are relatively moderate. The change in the expression of metabolic genes at the transcriptional level was confirmed by real time PCR. The results suggest that metabolic shift is a combined effect of both biochemical events at reaction level and gene expression at transcription and translation level. This approach of integrating transcriptional profiling, proteomic techniques and biochemical analysis provides a more global view of the metabolism of mammalian cells in culture.

Growth cone navigation is guided by extrinsic environmental proteins, called guidance cues. Many in vitro studies have characterized growth cone turning up and down gradients of soluble guidance cues. Although previous studies have shown that axonal elongation rates can be regulated by gradients of surface-bound molecules, there are no convincing demonstrations of growth cones turning to migrate up a surface-bound gradient of an adhesive ligand or guidance cue. In order to test this mode of axonal guidance, we used a photo-immobilization technique to create grids and gradients of an adhesive laminin peptide on polystyrene culture dish surfaces. Chick embryo dorsal root ganglia (DRGs) were placed on peptide grid patterns containing surface-bound gradients of the IKVAV-containing peptide. DRG growth cones followed a path of surface-bound peptide to the middle of a perpendicularly oriented gradient with a 25% concentration difference across 30 μm. The majority of growth cones turned and migrated up the gradient, turning until they were oriented directly up the gradient. Growth cones slowed their migration when they encountered the gradient, but growth cone velocity returned to the previous rate after turning up or down the gradient. This resembles in vivo situations where growth cones slow at a choice point before changing the direction of axonal extension. Thus, these results support the hypothesis that mechanisms of axonal guidance include growth cone orientation by gradients of surface-bound adhesive molecules and guidance cues. © 2004 Wiley Periodicals, Inc. J Neurobiol, 2005

Hybridoma cells were cultivated in a chemically defined medium in continuous cultures. These cultures reached different steady states marked by distinctive cell metabolism depending on the culture conditions leading to the steady state. Those steady states with different metabolism are characterized by different stoichiometric ratios of lactate production to glucose consumption (deltaL/deltaG). The specific consumption rates of glucose, glutamine and other amino acids are reduced when DeltaL DeltaG reduces. Those steady states do not have a few discrete values of deltaL/deltaGs , rather they span from a high deltaL/deltaG state (1.0) to an intermediate state (0.1or = deltaL/deltaGor = 1.0), and reduces even further at a low deltaL/deltaG state (0.1). Metabolic flux analysis was performed to compare energy metabolism of cells in cultures representing these three distinct metabolic states. The material balance on carbon and nitrogen was facilitated by the use of chemically defined medium. The formation of biomass was systematically estimated. It was revealed that all glycolysis and TCA cycle fluxes are reduced as deltaL/deltaG decreases. At the low deltaL/deltaG state, a reduction in amino acid specific consumption rate is accompanied by a reduction in all the fluxes around pyruvate. The analysis also shows that the outflux from the TCA cycle to form pyruvate, which contributes to lactate formation, is possibly linked to the higher consumption rate of amino acids at the high deltaL/deltaG state. Taken together the results suggest the amino acid metabolism plays an important role in reducing lactate production in mammalian cell culture.

Primary porcine hepatocytes cultured in suspension self-assemble into multicellular aggregates or spheroids that display enhanced liver-specific functional capability and remain viable for an extended period of time in vitro. The molecular events underlying the process of spheroid formation were explored by differential gene expression analysis. Critical time points in spheroid formation were first identified by reverse transcriptase-polymerase chain reaction (RT-PCR) analysis of stress-related gene expression levels at different stages of spheroid formation. Suppression subtractive hybridization was used to identify transcripts up- or down-regulated at different stages of spheroid formation. Subsequently, three sets of reciprocal subtractions, comparing freshly isolated hepatocytes, spheroid-forming hepatocytes, and mature spheroids were carried out, and differentially expressed transcripts were isolated, cloned, sequenced, and annotated. A total of 65 genes and 14 novel transcripts were identified as differentially expressed, and very high sequence conservation between pig and human transcripts was observed. The resultant expressed sequence tags (ESTs) revealed a rapid decrease in the transcript levels of a subset of liver-specific genes, cytochrome P450s, and enzymes involved in heme biosynthesis, as well as up-regulation of genes involved in calcium-dependent vesicle trafficking and a number of acute-phase proteins in mature spheroids. Previous morphological and functional data on hepatocyte spheroid formation support cellular polarization of the hepatocyte into apical and basolateral domains in spheroids. This is important for the re-emergence of differentiated functions in vitro and is reflected by differences in gene expression patterns.