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Mathematical modelling of metabolism.

Mathematical models of the cellular metabolism have a special interest within biotechnology. Many different kinds of commercially important products are derived from the cell factory, and metabolic engineering can be applied to improve existing production processes, as well as to make new processes available. Both stoichiometric and kinetic models have been used to investigate the metabolism, which has resulted in defining the optimal fermentation conditions, as well as in directing the genetic changes to be introduced in order to obtain a good producer strain or cell line. With the increasing availability of genomic information and powerful analytical techniques, mathematical models also serve as a tool for understanding the cellular metabolism and physiology.

Animals↗

Improvement of bioprocess monitoring: development of novel concepts.

The advancement of bioprocess monitoring will play a crucial role to meet the future requirements of bioprocess technology. Major issues are the acceleration of process development to reduce the time to the market and to ensure optimal exploitation of the cell factory and further to cope with the requirements of the Process Analytical Technology initiative. Due to the enormous complexity of cellular systems and lack of appropriate sensor systems microbial production processes are still poorly understood. This holds generally true for the most microbial production processes, in particular for the recombinant protein production due to strong interaction between recombinant gene expression and host cell metabolism. Therefore, it is necessary to scrutinise the role of the different cellular compartments in the biosynthesis process in order to develop comprehensive process monitoring concepts by involving the most significant process variables and their interconnections. Although research for the development of novel sensor systems is progressing their applicability in bioprocessing is very limited with respect to on-line and in-situ measurement due to specific requirements of aseptic conditions, high number of analytes, drift, and often rather low physiological relevance. A comprehensive survey of the state of the art of bioprocess monitoring reveals that only a limited number of metabolic variables show a close correlation to the currently explored chemical/physical principles. In order to circumvent this unsatisfying situation mathematical methods are applied to uncover "hidden" information contained in the on-line data and thereby creating correlations to the multitude of highly specific biochemical off-line data. Modelling enables the continuous prediction of otherwise discrete off-line data whereby critical process states can be more easily detected. The challenging issue of this concept is to establish significant on-line and off-line data sets. In this context, online sensor systems are reviewed with respect to commercial availability in combination with the suitability of offline analytical measurement methods. In a case study, the aptitude of the concept to exploit easily available online data for prediction of complex process variables in a recombinant E. coli fed-batch cultivation aiming at the improvement of monitoring capabilities is demonstrated. In addition, the perspectives for model-based process supervision and process control are outlined.

Journal Article↗

Protein modifications in the plant secretory pathway: current status and practical implications in molecular pharming.

Plants have become, over the last ten years, a suitable alternative to microbial and animal cell factories for the production of clinically-useful, therapeutic proteins. Besides the well known advantage of low-cost and large-scale production of safe and biologically active mammalian proteins, plants also are able to perform most post-translational maturations required for biological activity and suitable pharmacokinetics of recombinant therapeutic proteins. In this short review we focus on glycosylation and proteolytic processing of plant-made pharmaceuticals during their transport through the plant cell's secretory pathway. We also address the practical implications of these important processes on the effectiveness of plant molecular pharming systems.

Animals↗

Expression, purification and characterization of recombinant caprine N-acetylglucosamine-6-sulphatase.

Mucopolysaccharidosis type IIID or Sanfilippo D syndrome is a lysosomal storage disorder caused by the deficiency of N-acetylglucosamine-6-sulphatase (Glc6S). In addition to human patients, a Nubian goat with this disorder has been described and the caprine Glc6S (cGlc6S) cDNA cloned. In this study, the full-length cGlc6S cDNA was inserted into the expression vector, pEFNeo, which placed the cGlc6S cDNA under the transcriptional control of the human polypeptide chain elongation factor promoter. The pEFNeo expression vector also contains the human growth hormone polyadenylation signal and the genes encoding resistance to ampicillin and G418. The cGlc6S expression construct was electroporated into Chinese hamster ovary (CHO-K1) cells, and stably transfected clones were isolated. One clone, CHOrcGlc6S.17, which secreted the highest Glc6S activity into the culture medium, was selected and cultured in cell factories. The secreted recombinant cGlc6S (rcGlc6S) precursor was purified to homogeneity from conditioned medium by a two-column procedure which consisted of a Cu2+-chelating Sepharose column followed by TSK G3000SW gel filtration. The native molecular mass of rcFlc6S was estimated to be 102 kDa and the subunit size was 94 kDa. The kinetic properties of cGlc6S were similar to those of human Glc6S isolated from liver. rcGlc6S was endocytosed by fibroblasts from patients with mucopolysaccharidosis type IIID via the mannose 6-phosphate receptor-mediated pathway resulting in correction of the storage phenotype of these cells.

Animals↗

Integration of physiology and fluid dynamics.

The purpose of strategies for the integration of fluid dynamics and physiology is the development of more reliable simulation tools to accelerate the process of scale-up. The rigorous mathematical modeling of the richly interactive relationship between the dynamic response of biosystems and the physical environment changing in time and space must rest on the link between coupled momentum, energy and mass balances and structured modeling of the biophase. With the exponential increase in massive computer capabilities hard- and software tools became available for simulation strategies based on such holistic integration approaches. The review discusses fundamental aspects of application of computational fluid dynamics (CFD) to three-dimensional two-phase turbulence flow in stirred tank bioreactors. Examples of coupling momentum and material balance equations with simple unstructured kinetic models for the behavior of the biophase are used to illustrate the application of these strategies to the selection of suitable impeller configurations. The examples reviewed in this paper include distribution of carbon and energy source in fed batch cultures as well as dissolved oxygen fields during aerobic fermentations. A more precise forecasting of the impact of the multitude of interactions must, however, rest upon a rigorous understanding of the response of the cell factory to the complex dynamic stimulation due to space- and time-dependent concentration fields. The paper also introduces some ideas for fast and very fast experimental observations of intracellular pool concentrations based on stimulus response methods. These observations finally lead to a more complex integration approach based on the coupling of CFD and structured metabolic models.

Bioreactors↗

Activation of oxazaphosphorines by cytochrome P450: application to gene-directed enzyme prodrug therapy for cancer.

Cancer chemotherapeutic prodrugs, such as the oxazaphosphorines cyclophosphamide and ifosfamide, are metabolized by liver cytochrome P450 enzymes to yield therapeutically active, cytotoxic metabolites. The effective use of these prodrugs is limited by host toxicity associated with the systemic distribution of cytotoxic metabolites formed in the liver. This problem can, in part, be circumvented by implementation of cytochrome P450 gene-directed enzyme prodrug therapy (P450 GDEPT), a prodrug activation strategy for cancer treatment that augments tumor cell exposure to cytotoxic drug metabolites generated locally by a prodrug-activating cytochrome P450 enzyme. P450 GDEPT has been exemplified in preclinical rodent and human tumor models, where chemosensitivity to a P450 prodrug can be greatly increased by introduction of a prodrug-activating P450 gene. Further enhancement of the efficacy of P450-based gene therapy can be achieved: by co-expression of P450 with the flavoenzyme NADPH-P450 reductase, which provides electrons required for P450 metabolic activity; by metronomic (anti-angiogenic) scheduling of the prodrug; by localized delivery of the prodrug to the tumor; and by combination with anti-apoptotic factors, which slow the death of the P450 'factory' cells and thereby enhance the bystander cytotoxic response. P450 GDEPT has several important features that make it a clinically attractive strategy for cancer treatment. These include: the substantial bystander cytotoxicity of P450 prodrugs such as cyclophosphamide and ifosfamide; the ability to use human P450 genes and thereby avoid an immune response to the therapeutic gene; the use of well-established conventional chemotherapeutic prodrugs, as well as bioreductive drugs activated by P450/P450 reductase in a hypoxic tumor environment; and the potential to decrease systemic exposure to active drug metabolites by selective inhibition of hepatic P450 activity. Recent advances in this area of research are reviewed, and two proof-of-concept clinical trials that highlight the utility of this strategy are discussed.

Animals↗

Plant expression of chicken secretory antibodies derived from combinatorial libraries.

Delivery of secretory IgA antibodies (sIgA) to mucosal surfaces is a promising strategy to passively prevent infectious diseases. Plants have been proposed as biofactories for such complex immunoglobulin molecules. Recently, the molecular characterization of all four monomers of chicken sIgA (IgA immunoglobulin heavy and light chains, J-chain and secretory component) has been completed, allowing recombinant, up scaled production of chicken sIgA and extension of passive immune strategies to poultry. To test the suitability of the plant cell factory for bulk production of chicken sIgA, we studied the expression of chicken IgA, dIgA and sIgA in planta. To that end, new cassettes were designed that allowed the grafting of immunoglobulin variable regions derived from combinatorial libraries into full-size chicken IgA frames ready for plant expression. Using this system, 10 individual phage display clones, which had previously been selected against Eimeria acervulina antigens, were transferred "from phage to plant". Plant-made chicken antibodies showed strong differences in expression levels, which seemed governed mainly by the stability of their respective light chains. Finally, with the co-expression of chicken IgA heavy and light chains, J-chain and secretory component in N. benthamiana leaves we showed that plant cells are suitable biofactories for the production of assembled chicken sIgA complexes.

Animals↗

Use of nuclease enzyme in the purification of VAQTA, a hepatitis A vaccine.

The development of the purification process for VAQTA, which results in a highly purified inactivated hepatitis A vaccine, was driven by modifications in the cell-culture and harvest methods which permit hepatitis A virus propagation to support large-scale manufacture. The starting material for the purification was initially a concentrated cell pellet scraped from roller bottles. However, when the cell-culture method was scaled up to use high-surface-area Nunc cell factories or Costar cubes, the early steps in the process had to be modified to handle large volumes of dilute lysate. Membrane concentration was used at first, and a highly purified vaccine was prepared, but virus-poly(nucleic acid) complexes were formed, which reduced the yields in later processing steps. The introduction of a nuclease digestion immediately after harvest followed by capture chromatography on an anion-exchange column eliminated the formation of these complexes and resulted in more consistent performance and higher yields of downstream operations.

Binding Sites↗

Metabolic network driven analysis of genome-wide transcription data from Aspergillus nidulans.

BACKGROUND: Aspergillus nidulans (the asexual form of Emericella nidulans) is a model organism for aspergilli, which are an important group of filamentous fungi that encompasses human and plant pathogens as well as industrial cell factories. Aspergilli have a highly diversified metabolism and, because of their medical, agricultural and biotechnological importance, it would be valuable to have an understanding of how their metabolism is regulated. We therefore conducted a genome-wide transcription analysis of A. nidulans grown on three different carbon sources (glucose, glycerol, and ethanol) with the objective of identifying global regulatory structures. Furthermore, we reconstructed the complete metabolic network of this organism, which resulted in linking 666 genes to metabolic functions, as well as assigning metabolic roles to 472 genes that were previously uncharacterized. RESULTS: Through combination of the reconstructed metabolic network and the transcription data, we identified subnetwork structures that pointed to coordinated regulation of genes that are involved in many different parts of the metabolism. Thus, for a shift from glucose to ethanol, we identified coordinated regulation of the complete pathway for oxidation of ethanol, as well as upregulation of gluconeogenesis and downregulation of glycolysis and the pentose phosphate pathway. Furthermore, on change in carbon source from glucose to ethanol, the cells shift from using the pentose phosphate pathway as the major source of NADPH (nicotinamide adenine dinucleotide phosphatase, reduced form) for biosynthesis to use of the malic enzyme. CONCLUSION: Our analysis indicates that some of the genes are regulated by common transcription factors, making it possible to establish new putative links between known transcription factors and genes through clustering.

Aspergillus nidulans↗

A CRISPR-Cas9 Toolkit Enabling Tunable Integration and Transient Homologous Recombination Enhancement in Yarrowia lipolytica.

Although the oleaginous yeast Yarrowia lipolytica is a promising microbial cell factory, its application remains constrained by inefficient homology-directed repair (HDR) and a lack of precise genomic integration tools. To address these limitations, we developed a comprehensive genetic toolkit featuring three synergistic advancements. First, we systematically identified 55 neutral integration sites with tunable expression profiles, enabling stable, position-independent gene integration with predictable transcriptional output across a 12.88-fold dynamic range. Second, we established a dual-readout high-throughput screening platform combining colony morphology analysis with hrGFP fluorescence. This approach accurately measures locus-specific homologous recombination (HR) efficiency while eliminating false positives by dominant non-homologous end joining (NHEJ). Third, we engineered a transient HR enhancement system by fusing the Sae2 exonuclease to Cas9 via a flexible (GGGGS)3 linker. This fusion significantly boosts HR efficiency and surpasses the cleavage activity of unmodified Cas9 without introducing permanent genomic modifications or compromising cellular fitness. Finally, HR efficiency for single-gene integration was increased from 46.5% to 77.5% while the dual-locus editing efficiency reached 64.1% when using 500-bp homology arms, and the engineered strains demonstrated improved genetic stability compared to those with constitutive HR enhancement.

Yarrowia↗

Yeast systems biology to unravel the network of life.

Systems biology focuses on obtaining a quantitative description of complete biological systems, even complete cellular function. In this way, it will be possible to perform computer-guided design of novel drugs, advanced therapies for treatment of complex diseases, and to perform in silico design of advanced cell factories for production of fuels, chemicals, food ingredients and pharmaceuticals. The yeast Saccharomyces cerevisiae represents an excellent model system; the density of biological information available on this organism allows it to serve as a eukaryotic model for studying human diseases. Furthermore, it serves as an industrial workhorse for production of a wide range of chemicals and pharmaceuticals. Systems biology involves the combination of novel experimental techniques from different disciplines as well as functional genomics, bioinformatics and mathematical modelling, and hence no single laboratory has access to all the necessary competences. For this reason the Yeast Systems Biology Network (YSBN) has been established. YSBN will coordinate research efforts in yeast systems biology and, through the recently obtained EU funding for a Coordination Action, it will be possible to set appropriate guidelines, establish an appropriate infrastructure for the network and organize courses, meetings and conferences that will consolidate the network and promote systems biology. This paper discusses the impacts of systems biology and how YSBN may play a role in the future development of the field.

European Union↗

Molecular biology of hyperthermophilic Archaea.

The sequences of a number of archaeal genomes have recently been completed, and many more are expected shortly. Consequently, the research of Archaea in general and hyperthermophiles in particular has entered a new phase, with many exciting discoveries to be expected. The wealth of sequence information has already led, and will continue to lead to the identification of many enzymes with unique properties, some of which have potential for industrial applications. Subsequent functional genomics will help reveal fundamental matters such as details concerning the genetic, biochemical and physiological adaptation of extremophiles, and hence give insight into their genomic evolution, polypeptide structure-function relations, and metabolic regulation. In order to optimally exploit many unique features that are now emerging, the development of genetic systems for hyperthermophilic Archaea is an absolute requirement. Such systems would allow the application of this class of Archaea as so-called "cell factories": (i) expression of certain archaeal enzymes for which no suitable conventional (mesophilic bacterial or eukaryal) systems are available, (ii) selection for thermostable variants of potentially interesting enzymes from mesophilic origin, and (iii) the development of in vivo production systems by metabolic engineering. An overview is given of recent insight in the molecular biology of hyperthermophilic Archaea, as well as of a number of promising developments that should result in the generation of suitable genetic systems in the near future.

Archaea↗

Microbial decaprenoxanthin: From understanding an extremophile-derived C50 carotenoid to its bioprocessing for large-scale applications.

Decaprenoxanthin (DPXT) is an unusual bacterial C50 carotenoid that has historically received limited attention despite its well-defined structure. For decades, carotenoid research and industrial development have been dominated by C40 carotenoids, leaving longer-chain carotenoids largely overlooked. Recent discoveries, particularly from microorganisms inhabiting Antarctic and other extreme environments, have repositioned DPXT as an adaptive pigment shaped by intense environmental pressures. Its extended polyene chain and membrane-associated behavior suggest roles in membrane stabilization and protection against ultraviolet radiation and oxidative stress, features that may hold relevance for food and biotechnological applications. This review integrates historical and recent knowledge on DPXT, covering its structural characteristics, biosynthetic pathways, ecological function, and emerging technological relevance. Special attention is given to microbial sources, particularly Actinomycetota from extreme environments, and to recent advances in microbial genomics, metabolic engineering, and sustainable bioprocess development that enable the production and exploration of C50 carotenoids beyond their native extremophilic context. The analysis highlights DPXT as a representative example of stress-resilient carotenoids, with physicochemical and membrane-interacting properties that may offer advantages for future food and biotechnological systems. Although significant challenges remain in cultivation strategies, yield optimization, and downstream recovery, advances in microbial cell factories and green extraction technologies open new opportunities for valorizing C50 carotenoids. This review bridges extremophile microbiology, carotenoid biochemistry, and sustainable food innovation, positioning DPXT as an emerging molecule that may expand the functional and structural landscape of carotenoids relevant to food science.

Carotenoids↗

Use of genome-scale microbial models for metabolic engineering.

Metabolic engineering serves as an integrated approach to design new cell factories by providing rational design procedures and valuable mathematical and experimental tools. Mathematical models have an important role for phenotypic analysis, but can also be used for the design of optimal metabolic network structures. The major challenge for metabolic engineering in the post-genomic era is to broaden its design methodologies to incorporate genome-scale biological data. Genome-scale stoichiometric models of microorganisms represent a first step in this direction.

Algorithms↗

Exploring fungal biodiversity for the production of water-soluble pigments as potential natural food colorants.

The production of many currently authorized natural food colorants has a number of disadvantages, including a dependence on the supply of raw materials and variations in pigment extraction. Fungi provide a readily available alternative source of naturally derived food colorants that could easily be produced in high yields. The recent authorization of a fungal food colorant has fuelled research to explore the extraordinary chemical diversity and biodiversity of fungi for the biotechnological production of pigments as natural food colorants. These studies require an appropriate use of chemotaxonomic tools and a priori knowledge of fungal metabolites to carry out intelligent screening for known or novel colorants as lead compounds. Such screening would result in the preselection of some potential pigment producers and the deselection of pathogenic strains and toxin producers. With advances in gene technology, in the future it should be possible to employ metabolic engineering to create microbial cell factories for the production of food colorants.

Biodiversity↗

Posttranslational modification of therapeutic proteins in plants.

Plants have emerged as an alternative to current systems for the production of therapeutic proteins. The advantages of plants for the low-cost and large-scale production of safe and biologically active mammalian proteins have been documented recently. A major advantage of transgenic plants over production systems that are based on yeast or Escherichia coli is their ability to perform most of the posttranslational modifications (PTMs) that are required for the bioactivity and pharmacokinetics of recombinant therapeutic proteins. Furthermore, recent advances in the control of PTMs in transgenic plants have made it possible for plants to perform, at least to some extent, human-like modifications of recombinant proteins. Hence, plants have become a suitable alternative to animal cell factories for the production of therapeutic proteins.

Biological Factors↗

Engineering metabolic highways in Lactococci and other lactic acid bacteria.

Lactic acid bacteria (LAB) are widely used in industrial food fermentations and are receiving increased attention for use as cell factories for the production of food and pharmaceutical products. Glycolytic conversion of sugars into lactic acid is the main metabolic highway in these Gram-positive bacteria and Lactococcus lactis has become the model organism because of its small genome, genetic accessibility and simple metabolism. Here we discuss the metabolic engineering of L. lactis and the value of metabolic models compared with other LAB, with a particular focus on the food-grade production of metabolites involved in flavour, texture and health.

Energy Metabolism↗

Metabolic engineering of Candida yeasts for biotechnological applications.

Candida yeasts represent a versatile yet underexploited platform for industrial biotechnology. These yeasts utilize a remarkably broad range of carbon sources, particularly for hydrophobic carbon sources, coupled with robust growth and diverse biosynthetic capacities, making them promising hosts for sustainable production of chemicals, fuels, and proteins. Despite these advantages, industrial deployment of Candida species has been hindered by concerns regarding opportunistic pathogenicity and the historical lack of efficient genetic manipulation tools, leading to a substantial gap between metabolic potential and practical utilization. Recent advances in functional genomics, genome editing, and systems metabolic engineering are rapidly overcoming these barriers, enabling more precise and efficient strain development. In this review, we systematically summarize recent progress in the metabolic engineering of Candida species as microbial cell factories, with particular emphasis on expanding genetic toolkits, utilizting renewable and non-conventional carbon sources, and biosynthesizing high-value compounds. In addition, we propose a biosafety-oriented classification framework to support their safe industrial deployment. Finally, we discuss current challenges and emerging opportunities, emphasizing that the synergy of synthetic biology and artificial intelligence-driven design holds the key to unlocking the biotechnological potential of Candida yeasts.

Candida↗