Uwe Jandt

Compartmentalization and Metabolic Channeling for Multienzymatic Biosynthesis: Practical Strategies and Modeling Approaches

: The construction of efficient enzyme complexes for multienzymatic biosynthesis is of increasing interest in order to achieve maximum yield and to minimize the interference due to shortcomings that are typical for straightforward one-pot multienzyme catalysis. These include product or intermediate feedback inhibition, degeneration, and diffusive losses of reaction intermediates, consumption of co-factors, and others. The main mechanisms in nature to tackle these effects in transient or stable protein associations are the formation of metabolic channeling and microcompartments, processes that are desirable also for multienzymatic biosynthesis in vitro. This chapter provides an overview over two main aspects. First, numerous recent strategies for establishing compartmentalized multienzyme associations and constructed synthetic enzyme complexes are reviewed. Second, the computational methods at hand to investigate and optimize such associations systematically, especially with focus on large multienzyme complexes and metabolic channeling, are discussed. Perspectives on future studies of multienzymatic biosynthesis concerning compartmentalization and metabolic channeling are presented.

Evaluation of criteria for bioreactor comparison and operation standardization for mammalian cell culture

Development of bioprocesses with mammalian cell culture deals with different bioreactor types and scales. The bioreactors might be intended for generation of cell inoculum and production, research, process development, validation, or transfer purposes. During these activities, not only the difficulty of up and downscaling might lead to failure of consistency in cell growth, but also the use of different bioreactor geometries and operation conditions. In such cases, criteria for bioreactor design and process transfer should be carefully evaluated in order to select appropriate cultivation parameters.

Synchronized mammalian cell culture: part II--population ensemble modeling and analysis for development of reproducible processes.

The consideration of inherent population inhomogeneities of mammalian cell cultures becomes increasingly important for systems biology study and for developing more stable and efficient processes. However, variations of cellular properties belonging to different sub‐populations and their potential effects on cellular physiology and kinetics of culture productivity under bioproduction conditions have not yet been much in the focus of research. Culture heterogeneity is strongly determined by the advance of the cell cycle. The assignment of cell‐cycle specific cellular variations to large‐scale process conditions can be optimally determined based on the combination of (partially) synchronized cultivation under otherwise physiological conditions and subsequent population‐resolved model adaptation. The first step has been achieved using the physical selection method of countercurrent flow centrifugal elutriation, recently established in our group for different mammalian cell lines which is presented in Part I of this paper series. In this second part, we demonstrate the successful adaptation and application of a cell‐cycle dependent population balance ensemble model to describe and understand synchronized bioreactor cultivations performed with two model mammalian cell lines, AGE1.HNAAT and CHO‐K1. Numerical adaptation of the model to experimental data allows for detection of phase‐specific parameters and for determination of significant variations between different phases and different cell lines. It shows that special care must be taken with regard to the sampling frequency in such oscillation cultures to minimize phase shift (jitter) artifacts. Based on predictions of long‐term oscillation behavior of a culture depending on its start conditions, optimal elutriation setup trade‐offs between high cell yields and high synchronization efficiency are proposed.

Mammalian cell culture synchronization under physiological conditions and population dynamic simulation

The overall behavior of cell cultures is determined by the actions and regulations of all cells and their interaction in a mixed population. However, the dynamics caused by diversity and heterogeneity within cultures is often neglected in the study of cell culture processes. Usually, a bulk behavior is assumed, although heterogeneity prevails in most cases. It is, however, not valid to conclude from the bulk behavior to the single cell behavior. Instead, it is necessary to include the behavior and kinetics of subpopulations and their interactions into models in order to elucidate the dynamic effects occurring in typical cell cultures. Heterogeneity in cell cultures is largely caused by the progress of the cell cycle. Cell cycle-dependent dynamics resulting for example in variable transfection efficiencies or expression bistability have recently attracted attention. In order to elucidate cell cycle-dependent regulations in cell cultures, it is desirable to synchronize a culture with minimal perturbation, which is possible with different yield and quality using physical methods, but not possible for frequently used chemical, or whole-culture methods. Then, the culture is cultivated again under physiological conditions and subpopulation-resolved analysis and modeling approaches are applied. This should allow to account for the variable contributions of subpopulations to the whole behavior and also for obtaining hereto unaccessible dynamic information of cellular regulation. In this short review, we summarize techniques and key issues to be considered for successful synchronization, cultivation, and modeling in order to achieve the goal of better understanding cell culture at a population level.

Spatiotemporal modeling and analysis of transient gene delivery

A quantitative and mechanistic understanding of intracellular transport processes in eukaroytic cells during transient transfection is an important prerequisite for the systematic and specific optimization of transient gene expression procedures for pharmaceutic and industrial protein production. There is evidence that intracellular transport processes during gene delivery and their regulation may have significant influence on the transfection efficiency. This contribution describes a compartmented, spatiotemporally resolved and stochastic modeling approach that describes intracellular transport processes responsible for gene delivery during transient transfection. It enables a detailed prediction and analysis and identification of potential bottlenecks. This model is currently being adapted to a model cell line, HEK293s. The simulated results are compared with experimental quantitative polymerase chain reaction (qPCR) data and confocal imaging data obtained with transfected and stained HEK293 cells. Global parameter estimation is performed to qPCR data based on two different novel plasmid constructs in order to identify candidates for plasmid‐specific transport parameter variations. The influence of the specific property of HEK293 cells to grow in clusters is investigated and the impact of active microtubule transport depending on cell morphology and clustering is examined. A general sensitivity analysis allows for the identification of the sensitive parameters. Biotechnol. Bioeng. 2011;108:2205–2217.

Synchronized mammalian cell culture: part I--a physical strategy for synchronized cultivation under physiological conditions.

Conventional analysis and optimization procedures of mammalian cell culture processes mostly treat the culture as a homogeneous population. Hence, the focus is on cell physiology and metabolism, cell line development, and process control strategy. Impact on cultivations caused by potential variations in cellular properties between different subpopulations, however, has not yet been evaluated systematically. One main cause for the formation of such subpopulations is the progress of all cells through the cell cycle. The interaction of potential cell cycle specific variations in the cell behavior with large‐scale process conditions can be optimally determined by means of (partially) synchronized cultivations, with subsequent population resolved model analysis. Therefore, it is desirable to synchronize a culture with minimal perturbation, which is possible with different yield and quality using physical selection methods, but not with frequently used chemical or whole‐culture methods. Conventional nonsynchronizing methods with subsequent cell‐specific, for example, flow cytometric analysis, can only resolve cell‐limited effects of the cell cycle. In this work, we demonstrate countercurrent‐flow centrifugal elutriation as a useful physical method to enrich mammalian cell populations within different phases of a cell cycle, which can be further cultivated for synchronized growth in bioreactors under physiological conditions. The presented combined approach contrasts with other physical selection methods especially with respect to the achievable yield, which makes it suitable for bioreactor scale cultivations. As shown with two industrial cell lines (CHO‐K1 and human AGE1.HN), synchronous inocula can be obtained with overall synchrony degrees of up to 82% in the G1 phase, 53% in the S phase and 60% in the G2/M phase, with enrichment factors ( Ysync ) of 1.71, 1.79, and 4.24 respectively. Cells are able to grow with synchrony in bioreactors over several cell cycles. This strategy, combined with population‐resolved model analysis and parameter extraction as described in the accompanying paper, offers new possibilities for studies of cell lines and processes at levels of cell cycle and population under physiological conditions.

Human Pyruvate Dehydrogenase Complex E2 and E3BP Core Subunits: New Models and Insights from Molecular Dynamics Simulations

Targeted manipulation and exploitation of beneficial properties of multienzyme complexes, especially for the design of novel and efficiently structured enzymatic reaction cascades, require a solid model understanding of mechanistic principles governing the structure and functionality of the complexes. This type of system-level and quantitative knowledge has been very scarce thus far. We utilize the human pyruvate dehydrogenase complex (hPDC) as a versatile template to conduct corresponding studies. Here we present new homology models of the core subunits of the hPDC, namely E2 and E3BP, as the first time effort to elucidate the assembly of hPDC core based on molecular dynamic simulation. New models of E2 and E3BP were generated and validated at atomistic level for different properties of the proteins. The results of the wild type dimer simulations showed a strong hydrophobic interaction between the C-terminal and the hydrophobic pocket which is the main driving force in the intertrimer binding and the core self-assembly. On the contrary, the C-terminal truncated versions exhibited a drastic loss of hydrophobic interaction leading to a dimeric separation. This study represents a significant step toward a model-based understanding of structure and function of large multienzyme systems like PDC for developing highly efficient biocatalyst or bioreaction cascades.

Growth kinetics and validation of near-physiologically synchronized HEK293S Cultures

For investigation of cell cycle‐specific processes in cell cultures, synchronization methods can be applied, especially when single‐cell analytics are not applicable. Thorough validation is essential to minimize distortions introduced by the synchronization procedure and to derive valid data, which is often neglected. In this study, synchronization has been performed and validated for the first time on a human producer cell line (HEK293S) using counterflow centrifugal elutriation. Two main fractions were obtained, with the amount of G2/M cells reduced to ∼5% in the first fraction, compared to ∼16% in the non‐synchronized state, and enriched to ∼30% in the second fraction. Special care was taken with respect to the extraordinary sensitivity of these cells. Validation of correctness and degree of synchronization were based on DNA content, growth behavior, cell size distribution and consumption and production rates. The resulting cell cycle distributions, effective growth rates, and characteristic cell diameter oscillated concertedly for up to 100 h. To facilitate analysis, a new and simple approach to estimate the cell cycle position is introduced and validated. It shows that after a recovery time of 18–24 h, all relevant properties return to the state of non‐synchronized cultures. This indicates that cell cycle specific analysis can only be valid starting from approximately 18–24 h after synchronization.

Physical methods for synchronization of a human production cell line

Background The study of central metabolism and the interaction of its dynamics during growth, product formation and cell division are key tasks to decode the complex metabolic network of mammalian cells. For this purpose, not only the quantitative determination of key cellular molecules is necessary, but also the variation of their expression rates in time, e.g. cell cycle dependent gene expression. Thus, synchronization of cultured cells is a requisite for almost any attempt to elucidate these time dependent cellular processes. Synchronous cell growth can help to gain deeper insight into dynamics of cellular metabolism. In our work, physical methods for synchronization of the human production cell line AGE1.HN (ProBioGen AG) are experimentally tested. Cell-size distribution, DNA-content and the number of synchronous divisions are used for comparison of the methods. According to our results, the enrichment of an AGE1. HN cell population within a cell cycle phase is possible. Currently, the increase of cell yield and the improvement of conditions for cell-growth resumption after synchronization are being studied.

Modeling of Intracellular Transport and Compartmentation

The complexity and internal organization of mammalian cells as well as the regulation of intracellular transport processes has increasingly moved into the focus of investigation during the past two decades. Advanced staining and microscopy techniques help to shed light onto spatial cellular compartmentation and regulation, increasing the demand for improved modeling techniques. In this chapter, we summarize recent developments in the field of quantitative simulation approaches and frameworks for the description of intracellular transport processes. Special focus is therefore laid on compartmented and spatiotemporally resolved simulation approaches. The processes considered include free and facilitated diffusion of molecules, active transport via the microtubule and actin filament network, vesicle distribution, membrane transport, cell cycle-dependent cell growth and morphology variation, and protein production. Commercially and freely available simulation packages are summarized as well as model data exchange and harmonization issues.