Preparation and Screening of Cell-Free Extract from Nongrowing Escherichia coli A19 Cells.

Cell-free extracts have been researched and continuously streamlined for around 50 years. It is believed that these extracts work best when routinely obtained from exponentially growing cells to capture the most active translation system. Here we report on an active cell-free extract derived from E. coli A19 that was harvested under nongrowing, stressed conditions. Although this process is based on the conventional routine process for the production of S30-extracts, our process is less labor intensive and reduces variability between extracts.

Modeling Cell-Free Protein Synthesis Systems-Approaches and Applications.

In vitro systems are ideal setups to investigate the basic principles of biochemical reactions and subsequently the bricks of life. Cell-free protein synthesis (CFPS) systems mimic the transcription and translation processes of whole cells in a controlled environment and allow the detailed study of single components and reaction networks. In silico studies of CFPS systems help us to understand interactions and to identify limitations and bottlenecks in those systems. Black-box models laid the foundation for understanding the production and degradation dynamics of macromolecule components such as mRNA, ribosomes, and proteins. Subsequently, more sophisticated models revealed shortages in steps such as translation initiation and tRNA supply and helped to partially overcome these limitations. Currently, the scope of CFPS modeling has broadened to various applications, ranging from the screening of kinetic parameters to the stochastic analysis of liposome-encapsulated CFPS systems and the assessment of energy supply properties in combination with flux balance analysis (FBA).

Protein production in Escherichia coli is guided by the trade-off between intracellular substrate availability and energy cost.

BACKGROUND: In vivo protein formation is a crucial part of cellular life. The process needs to adapt to growth conditions and is exploited for the production of technical and pharmaceutical proteins in microbes such as Escherichia coli. Accordingly, the elucidation of basic regulatory mechanisms controlling the in vivo translation machinery is of primary interest, not only to improve heterologous protein production but also to elucidate fundamental regulation regimens of cellular growth. RESULTS: The current modeling analysis elucidates the impact of diffusion for the stochastic supply of crucial substrates such as the elongation factor EFTu, and tRNA species, all regarded as key elements for ensuring optimum transcriptional elongation. Together with the consideration of cellular ribosome numbers, their impact on the proper functioning of the translation machinery was investigated under different in vivo and in vitro conditions and utilizing the formation of non-native GFP and native EFTu as target proteins. The results show that translational elongation was diffusion limited. However, this effect was much more pronounced for the translation of non-native proteins than for the formation of codon-optimized native proteins. CONCLUSIONS: Cellular ATP requirements constrain the options of improving protein production. In the case of non-native protein sequences, an optimized tRNA supply may be the most economical solution, as cells necessarily have to invest in ATP-costly ribosome synthesis to boost translation and increase growth rates.

Cell-Free Protein Synthesis From Fast-Growing Vibrio natriegens.

Vibrio natriegens constitutes one of the fastest-growing nonpathogenic bacteria and a potential novel workhorse for many biotechnological applications. Here, we report the development of a Vibrio-based cell-free protein synthesis system (CFPS). Specifically, up to 0.4 g L-1 eGFP could be successfully synthesized in small-scale batch reactions using cell-free extract obtained from fast-growing V. natriegens cultures. Versatile CFPS system characterization attained by combining the analyses of key metabolites for translation and ribosomes revealed limitations regarding rRNA stability and critical substrate consumption (e.g., amino acids). Alternatively, rRNA showed increased stability by inducing Mg2+homeostasis in the reaction. Although the enormous translation capacity of the CFPS system based on the available ribosome concentration could not yet be fully exploited, its potential was successfully demonstrated by activating an endogenous transcription unit with V. natriegensRNA polymerase (RNAP) for protein expression. This allowed the use of in vitro screening for promoter strength, a critical factor for efficient gene expression in vitro and in vivo. Three different promoters were tested and output signals corresponded well with the expected affinity for V. natriegens RNAP. This established CFPS toolbox may provide a foundation to establish V. natriegens as a valuable platform in biotechnology as well as synthetic biology.

Cell-free protein synthesis from non-growing, stressed Escherichia coli.

Cell-free protein synthesis is a versatile protein production system. Performance of the protein synthesis depends on highly active cytoplasmic extracts. Extracts from E. coli are believed to work best; they are routinely obtained from exponential growing cells, aiming to capture the most active translation system. Here, we report an active cell-free protein synthesis system derived from cells harvested at non-growth, stressed conditions. We found a downshift of ribosomes and proteins. However, a characterization revealed that the stoichiometry of ribosomes and key translation factors was conserved, pointing to a fully intact translation system. This was emphasized by synthesis rates, which were comparable to those of systems obtained from fast-growing cells. Our approach is less laborious than traditional extract preparation methods and multiplies the yield of extract per cultivation. This simplified growth protocol has the potential to attract new entrants to cell-free protein synthesis and to broaden the pool of applications. In this respect, a translation system originating from heat stressed, non-growing E. coli enabled an extension of endogenous transcription units. This was demonstrated by the sigma factor depending activation of parallel transcription. Our cell-free expression platform adds to the existing versatility of cell-free translation systems and presents a tool for cell-free biology.

Experimentally Validated Model Enables Debottlenecking of in Vitro Protein Synthesis and Identifies a Control Shift under in Vivo Conditions.

Cell-free (in vitro) protein synthesis (CFPS) systems provide a versatile tool that can be used to investigate different aspects of the transcription-translation machinery by reducing cells to the basic functions of protein formation. Recent improvements in reaction stability and lysate preparation offer the potential to expand the scope of in vitro biosynthesis from a research tool to a multifunctional and versatile platform for protein production and synthetic biology. To date, even the best-performing CFPS systems are drastically slower than in vivo references. Major limitations are imposed by ribosomal activities that progress in an order of magnitude slower on the mRNA template. Owing to the complex nature of the ribosomal machinery, conventional "trial and error" experiments only provide little insight into how the desired performance could be improved. By applying a DNA-sequence-oriented mechanistic model, we analyzed the major differences between cell-free in vitro and in vivo protein synthesis. We successfully identified major limiting elements of in vitro translation, namely the supply of ternary complexes consisting of EFTu and tRNA. Additionally, we showed that diluted in vitro systems suffer from reduced ribosome numbers. On the basis of our model, we propose a new experimental design predicting 90% increased translation rates, which were well achieved in experiments. Furthermore, we identified a shifting control in the translation rate, which is characterized by availability of the ternary complex under in vitro conditions and the initiation of translation in a living cell. Accordingly, the model can successfully be applied to sensitivity analyses and experimental design.

Quantifying ribosome dynamics in Escherichia coli using fluorescence.

Ribosomes are a crucial component of the physiological state of a cell. Therefore, we aimed to monitor ribosome dynamics using a fast and easy fluorescence readout. Using fluorescent-labeled ribosomal proteins, the dynamics of ribosomes during batch cultivation and during nutritional shift conditions was investigated. The fluorescence readout was compared to the cellular rRNA content determined by capillary gel electrophoresis with laser-induced fluorescence detection during exponentially accelerating and decelerating growth. We found a linear correlation between the observed fluorescence and the extracted rRNA content throughout cultivation, demonstrating the applicability of this method. Moreover, the results show that ribosome dynamics, as a result of slowing growth, are accompanied by the passive effect of dilution of preexisting ribosomes, de novo ribosome synthesis and ribosome degradation. In light of the challenging task of deciphering ribosome regulatory mechanisms, our approach of using fluorescence to follow ribosome dynamics will allow more comprehensive studies of biological systems.

Escherichia coli HGT: Engineered for high glucose throughput even under slowly growing or resting conditions.

Aerobic production-scale processes are constrained by the technical limitations of maximum oxygen transfer and heat removal. Consequently, microbial activity is often controlled via limited nutrient feeding to maintain it within technical operability. Here, we present an alternative approach based on a newly engineered Escherichia coli strain. This E. coli HGT (high glucose throughput) strain was engineered by modulating the stringent response regulation program and decreasing the activity of pyruvate dehydrogenase. The strain offers about three-fold higher rates of cell-specific glucose uptake under nitrogen-limitation (0.6gGlc gCDW-1h-1) compared to that of wild type, with a maximum glucose uptake rate of about 1.8gGlc gCDW-1h-1 already at a 0.3h-1 specific growth rate. The surplus of imported glucose is almost completely available via pyruvate and is used to fuel pyruvate and lactate formation. Thus, E. coli HGT represents a novel chassis as a host for pyruvate-derived products.

Site-Specific Cleavage of Ribosomal RNA in Escherichia coli-Based Cell-Free Protein Synthesis Systems.

Cell-free protein synthesis, which mimics the biological protein production system, allows rapid expression of proteins without the need to maintain a viable cell. Nevertheless, cell-free protein expression relies on active in vivo translation machinery including ribosomes and translation factors. Here, we examined the integrity of the protein synthesis machinery, namely the functionality of ribosomes, during (i) the cell-free extract preparation and (ii) the performance of in vitro protein synthesis by analyzing crucial components involved in translation. Monitoring the 16S rRNA, 23S rRNA, elongation factors and ribosomal protein S1, we show that processing of a cell-free extract results in no substantial alteration of the translation machinery. Moreover, we reveal that the 16S rRNA is specifically cleaved at helix 44 during in vitro translation reactions, resulting in the removal of the anti-Shine-Dalgarno sequence. These defective ribosomes accumulate in the cell-free system. We demonstrate that the specific cleavage of the 16S rRNA is triggered by the decreased concentrations of Mg2+. In addition, we provide evidence that helix 44 of the 30S ribosomal subunit serves as a point-of-entry for ribosome degradation in Escherichia coli. Our results suggest that Mg2+ homeostasis is fundamental to preserving functional ribosomes in cell-free protein synthesis systems, which is of major importance for cell-free protein synthesis at preparative scale, in order to create highly efficient technical in vitro systems.

Teaching bioprocess engineering to undergraduates: Multidisciplinary hands-on training in a one-week practical course.

Bioprocess engineering is a highly interdisciplinary field of study which is strongly benefited by practical courses where students can actively experience the interconnection between biology, engineering, and physical sciences. This work describes a lab course developed for 2nd year undergraduate students of bioprocess engineering and related disciplines, where students are challenged with a real-life bioprocess-engineering application, the production of recombinant protein in a fed-batch process. The lab course was designed to introduce students to the subject of operating and supervising an experiment in a bioreactor, along with the analysis of collected data and a final critical evaluation of the experiment. To provide visual feedback of the experimental outcome, the organism used during class was Escherichia coli which carried a plasmid to recombinantly produce enhanced green fluorescent protein (eGFP) upon induction. This can easily be visualized in both the bioreactor and samples by using ultraviolet light. The lab course is performed with bioreactors of the simplest design, and is therefore highly flexible, robust and easy to reproduce. As part of this work the implementation and framework, the results, the evaluation and assessment of student learning combined with opinion surveys are presented, which provides a basis for instructors intending to implement a similar lab course at their respective institution.

Process development of periplasmatically produced single chain fragment variable against epidermal growth factor receptor in Escherichia coli.

Prokaryotic production systems have been widely used to manufacture recombinant therapeutic proteins. Economically, the prokaryotic production ­ especially of small therapeutic molecules ­ is advantageous compared to eukaryotic production strategies. However, due to the potential endotoxin and host cell protein contamination, the requirements for the purification process are disproportionately higher and therefore more expensive and elaborate to circumvent. For this reason, the goal of this work was to develop and establish a rapid, simple, inexpensive and 'up-scalable' production and purification process, using the therapeutic relevant protein anti-EGFR scFv hu225 as model molecule. Configuring high cell density cultivation of Escherichia coli ­ using the rha-BAD expression system as production platform ­ a specific product concentration up to 20 mgscFv/gCDW was obtained. By combining freeze-and-thaw, osmotic shock and pH induced host cell protein precipitation, almost 70% of the product was extracted from the biomass. In a novel approach a mixed mode chromatography was implemented as a capturing and desalting step, which allowed the direct application of further ion exchange chromatography steps for purification up to pharmaceutical grade. Thereby, 50% of the produced scFv could be purified within 10 h while maintaining the biological activity.

The functional structure of central carbon metabolism in Pseudomonas putida KT2440.

What defines central carbon metabolism? The classic textbook scheme of central metabolism includes the Embden-Meyerhof-Parnas (EMP) pathway of glycolysis, the pentose phosphate pathway, and the citric acid cycle. The prevalence of this definition of central metabolism is, however, equivocal without experimental validation. We address this issue using a general experimental approach that combines the monitoring of transcriptional and metabolic flux changes between steady states on alternative carbon sources. This approach is investigated by using the model bacterium Pseudomonas putida with glucose, fructose, and benzoate as carbon sources. The catabolic reactions involved in the initial uptake and metabolism of these substrates are expected to show a correlated change in gene expressions and metabolic fluxes. However, there was no correlation for the reactions linking the 12 biomass precursor molecules, indicating a regulation mechanism other than mRNA synthesis for central metabolism. This result substantiates evidence for a (re)definition of central carbon metabolism including all reactions that are bound to tight regulation and transcriptional invariance. Contrary to expectations, the canonical Entner-Doudoroff and EMP pathways sensu stricto are not a part of central carbon metabolism in P. putida, as they are not regulated differently from the aromatic degradation pathway. The regulatory analyses presented here provide leads on a qualitative basis to address the use of alternative carbon sources by deregulation and overexpression at the transcriptional level, while rate improvements in central carbon metabolism require careful adjustment of metabolite concentrations, as regulation resides to a large extent in posttranslational and/or metabolic regulation.

Self-inducible Bacillus subtilis expression system for reliable and inexpensive protein production by high-cell-density fermentation.

A novel technically compliant expression system was developed for heterologous protein production in Bacillus subtilis with the aim of increasing product yields at the same time as decreasing production costs. Standard systems involve the positively regulated manP promoter of the mannose operon, which led to relatively high product yields of 5.3% (5.3 g enhanced green fluorescent protein [eGFP] per 100 g cell dry weight [CDW]) but required large quantities of mannose to induce the reactions, thus rendering the system's technical application rather expensive. To improve this situation, mutant B. subtilis strains were used: the ΔmanA (mannose metabolism) strain TQ281 and the ΔmanP (mannose uptake) strain TQ356. The total amount of inducer could be reduced with TQ281, which, however, displayed sensitivity to mannose. An inducer-independent self-induction system was developed with TQ356 to further improve the cost efficiency and product yield of the system, in which glucose prevents induction by carbon catabolite repression. To create optimal self-induction conditions, a glucose-limited process strategy, namely, a fed-batch process, was utilized as follows. The initiation of self-induction at the beginning of the glucose-restricted transition phase between the batch and fed-batch phase of fermentation and its maintenance throughout the glucose-limiting fed-batch phase led to a nearly 3-fold increase of product yield, to 14.6%. The novel B. subtilis self-induction system thus makes a considerable contribution to improving product yield and reducing the costs associated with its technical application.

Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains.

The field of systems biology is often held back by difficulties in obtaining comprehensive, high-quality, quantitative data sets. In this paper, we undertook an interlaboratory effort to generate such a data set for a very large number of cellular components in the yeast Saccharomyces cerevisiae, a widely used model organism that is also used in the production of fuels, chemicals, food ingredients and pharmaceuticals. With the current focus on biofuels and sustainability, there is much interest in harnessing this species as a general cell factory. In this study, we characterized two yeast strains, under two standard growth conditions. We ensured the high quality of the experimental data by evaluating a wide range of sampling and analytical techniques. Here we show significant differences in the maximum specific growth rate and biomass yield between the two strains. On the basis of the integrated analysis of the high-throughput data, we hypothesize that differences in phenotype are due to differences in protein metabolism.

Quantifying cytosolic messenger RNA concentrations in Escherichia coli using real-time polymerase chain reaction for a systems biology approach.

Current messenger RNA (mRNA) quantification methods are sophisticated tools for the analysis of gene regulation. However, these methods are not suitable for more complex quantitative approaches such as the mathematical modeling of the in vivo regulation of transcription where dynamic cytosolic mRNA concentrations need to be taken into consideration. In the current study, the "standard curve method" for quantitative reverse transcription real-time polymerase chain reaction (qRT-PCR) was extended by including an internal RNA standard. This standard enables transcript losses that occur during the process, as well as variations resulting from nonquantitative processes, to be accounted for. The use of an internal standard yielded transcript concentration estimates that were on average seven times higher than those in cases where an internal standard is omitted. Choosing the cra modulon in Escherichia coli as an example, the method applied shows that the regulation of the Cra protein, as well as the growth rate-dependent regulation, need to be taken into consideration. The new method, which enables the determination of cytosolic mRNA concentrations, allows the quantitative representation of transcriptional dynamics. This is an important aspect of the analysis of the complex interactions of metabolism and regulation and in the application of mathematical modeling for systems biology.

Prediction of kinetic parameters from DNA-binding site sequences for modeling global transcription dynamics in Escherichia coli.

The majority of dynamic gene regulatory network (GRN) models are comprised of only a few genes and do not take multiple transcription regulation into account. The models are conceived in this way in order to minimize the number of kinetic parameters. In this paper, we propose a new approach for predicting kinetic parameters from DNA-binding site sequences by correlating the protein-DNA-binding affinities with nucleotide sequence conservation. We present the dynamic modeling of the cra modulon transcription in Escherichia coli during glucose-limited fed-batch cultivation. The concentration of the Cra regulator protein inhibitor, fructose 1,6-bis(phosphate), decreases sharply, eventually leading to the repression of transcription. Total RNA concentration data indicate a strong regulation of transcription through the availability of RNA polymerase. A critical assessment of the results of the model simulations supports this finding. This new approach for the prediction of transcription dynamics may improve the metabolic engineering of gene regulation processes.

In vitro synthesis and characterization of guanosine 3',5'-bis(diphosphate).

The intracellular alarmone guanosine 3',5'-bis(diphosphate) (ppGpp) has been thoroughly investigated over the past 40 years and has become one of the best-known effectors in bacterial physiology. ppGpp is also of great importance for biotechnological applications. Systems biology research, involving experimental and mathematical approaches, has contributed a great deal to uncovering the alarmone's complex regulatory effects. HPLC analysis and UV detection are used to quantify intracellular ppGpp. The samples analyzed also contain other phosphorylated guanine nucleotides and, therefore, are spiked with a standard ppGpp solution. A rapidly growing number of laboratories are turning to synthesizing the nucleotide in vitro involving time-consuming protocols and yielding only low amounts of ppGpp. The current article provides a protocol for the preparation of large quantities of a ribosome extract that contains high ppGpp synthesis activity. The demonstrated upscaling from shaking flask to bioreactor cultivation involves the continuous and refrigerated harvest of the biomass. (13)C NMR analysis enabled the structural characterization of the synthesis product and was complemented by mass spectrometry and methods that are commonly used to identify ppGpp.

Dynamic response of the expression of hxt1, hxt5 and hxt7 transport proteins in Saccharomyces cerevisiae to perturbations in the extracellular glucose concentration.

Glucose transport in Saccharomyces cerevisiae relies on a multi-factorial uptake system. The modulation of its efficiency depends on the differential expression of various sets of hexose transport-related proteins whose glucose affinity differs considerably. The expression of three different glucose transport proteins (HXT1, HXT5 and HXT6/7 with low-, intermediate- and high-affinity, respectively) was monitored as a result of modified extracellular glucose concentrations. Cultivation at glucose-limited (continuous) conditions was instantly replaced by a batch (and thus, non-limited) mode. Further, to mimic concentration gradients in large-scale production bioreactors, multiple and rapid transient glucose pulses were applied to chemostat cultivation. Antibodies against the HXT-proteins were used to monitor the proteins' expression levels prior to and after perturbing the external glucose concentrations. HXT5 and HXT6/7 were either expressed during the starvation-like steady-state phases in the chemostat cultivations, whereas HXT1 could not be detected at all. HXT1, however, is subsequently expressed during the excess of glucose in the batch mode, while the HXT5 and HXT6/7 transporters were at least found to decline. These findings coincide well with the transporters' affinity profiles. As a result of repeated and rapid transient glucose pulses during continuous fermentation, especially HXT6/7 pointed out to alter the protein expression pattern.

Quantification of rRNA in Escherichia coli using capillary gel electrophoresis with laser-induced fluorescence detection.

Over the past 10 years, sophisticated powerful techniques have been developed for the quantification of messenger RNA (mRNA) and ribosomal RNA (rRNA), enabling researchers in science, industry, and molecular medicine to explore gene expression. These techniques require the (reverse) transcription of analyte RNA, hybridization with synthetic oligonucleotides, and other additional steps that make them costly, time-consuming, and quantitatively difficult to perform. The current work demonstrates how 16S and 23S rRNA can be quantified precisely using capillary gel electrophoresis with laser-induced fluorescence detection (CGE-LIF) directly after the extraction of total RNA without requiring further reactions or calibration. CGE-LIF normally is used for the qualitative examination of RNA preparations. Its quantitative performance could be improved significantly using MS2 bacteriophage RNA as an internal standard. The entire analytical procedure was validated for linearity, repeatability, reproducibility, and recovery. This validation also included total RNA extraction from bacterial cells, an aspect examined for the first time in absolute RNA quantification. Recovery is close to 100%, and the analytical precision was increased 10-fold (CV<3%), as compared with similar approaches. The demonstrated method is simple and opens up new possibilities for the absolute quantification of not only rRNA but also individual mRNAs.

Topology of the global regulatory network of carbon limitation in Escherichia coli.

One fundamental shortcoming of biotechnological processes operating under carbon-limiting conditions is the high-energy demand (maintenance) of the cells. Although the function of the central carbon metabolism in supplying precursors and energy for biosynthesis has been thoroughly characterized, its regulation and dynamic behaviour during carbon-limited growth has not yet been revealed. The current work demonstrates a time series of metabolic flux distributions during fed-batch cultivation of Escherichia coli K-12 W3110 applying a constant feed rate. The fluxes in glycolysis, pentose phosphate pathway and biosynthesis fell significantly, whereas TCA cycle fluxes remained constant. The flux redistribution resulted in an enhanced energy generation in the TCA cycle and consequently, in a 20% lower biomass yield. The intracellular alarmones ppGpp and cAMP accumulated in large quantities after the onset of nutrient limitation, subsequently declining to basal levels. The network topology of the regulation of the central metabolic pathways was identified so that the observed metabolic and regulatory behaviour can be described. This provides novel aspects of global regulation of the metabolism by the cra, crp and relA/spoT modulons. The work constitutes an important step towards dynamic mathematical modelling of regulation and metabolism, which is needed for the rational optimization of biotechnological processes.