Rational design of a bacterial import system for new-to-nature molecules.

Integration of novel compounds into biological processes holds significant potential for modifying or expanding existing cellular functions. However, the cellular uptake of these compounds is often hindered by selectively permeable membranes. We present a novel bacterial transport system that has been rationally designed to address this challenge. Our approach utilizes a highly promiscuous sulfonate membrane transporter, which allows the passage of cargo molecules attached as amides to a sulfobutanoate transport vector molecule into the cytoplasm of the cell. These cargoes can then be unloaded from the sulfobutanoyl amides using an engineered variant of the enzyme γ-glutamyl transferase, which hydrolyzes the amide bond and releases the cargo molecule within the cell. Here, we provide evidence for the broad substrate specificity of both components of the system by evaluating a panel of structurally diverse sulfobutanoyl amides. Furthermore, we successfully implement the synthetic uptake system in vivo and showcase its functionality by importing an impermeant non-canonical amino acid.

Late Microaerobic Growth for Efficient Production of Human Cytochrome P450 3A4 in E. coli.

Detailed preclinical characterization of metabolites formed in vivo from candidate drug substances is mandatory prior to the initiation of clinical trials. Therefore, inexpensive and efficient methods for drug metabolite synthesis are of high importance for rapid advancement of the drug development process. A large fraction of small molecule drugs is modified by monooxygenase cytochrome P450 3A4 produced in the human liver and intestine. Therefore, this enzyme is frequently employed to catalyze metabolite synthesis in vitro, making 3A4 availability a critical requirement in early drug development. Unfortunately, the recombinant production of this enzyme in microbial hosts is notoriously difficult. Maintaining low oxygen transfer rates and the use of rich media for host cultivation are required for P450 3A4 production. However, detailed studies on the relationship between oxygen supply and P450 3A4 space-time yields are missing. We describe an improved biotechnological process for the heterologous expression of P450 3A4 together with its redox partner, cytochrome P450 reductase, in Escherichia coli. Enzyme production was most efficient under so-called "late microaerobic" growth conditions, in which the cells have just not yet made the switch to anaerobic metabolism, characterized by a limited oxygen supply leading to oxygen concentrations in the liquid phase that are far below the detection limit of standard oxygen electrodes. Furthermore, feeding the carbon source glycerol as well as controlling cellular acetate formation improved process productivity. The presented protocol resulted in the formation of functional recombinant 3A4 at concentrations up to 680 nmol L-1.

Direct electrification of silicon microfluidics for electric field applications.

Microfluidic systems are widely used in fundamental research and industrial applications due to their unique behavior, enhanced control, and manipulation opportunities of liquids in constrained geometries. In micrometer-sized channels, electric fields are efficient mechanisms for manipulating liquids, leading to deflection, injection, poration or electrochemical modification of cells and droplets. While PDMS-based microfluidic devices are used due to their inexpensive fabrication, they are limited in terms of electrode integration. Using silicon as the channel material, microfabrication techniques can be used to create nearby electrodes. Despite the advantages that silicon provides, its opacity has prevented its usage in most important microfluidic applications that need optical access. To overcome this barrier, silicon-on-insulator technology in microfluidics is introduced to create optical viewports and channel-interfacing electrodes. More specifically, the microfluidic channel walls are directly electrified via selective, nanoscale etching to introduce insulation segments inside the silicon device layer, thereby achieving the most homogeneous electric field distributions and lowest operation voltages feasible across microfluidic channels. These ideal electrostatic conditions enable a drastic energy reduction, as effectively shown via picoinjection and fluorescence-activated droplet sorting applications at voltages below 6 and 15 V, respectively, facilitating low-voltage electric field applications in next-generation microfluidics.

Signal Peptide Efficiency: From High-Throughput Data to Prediction and Explanation.

The passage of proteins across biological membranes via the general secretory (Sec) pathway is a universally conserved process with critical functions in cell physiology and important industrial applications. Proteins are directed into the Sec pathway by a signal peptide at their N-terminus. Estimating the impact of physicochemical signal peptide features on protein secretion levels has not been achieved so far, partially due to the extreme sequence variability of signal peptides. To elucidate relevant features of the signal peptide sequence that influence secretion efficiency, an evaluation of ∼12,000 different designed signal peptides was performed using a novel miniaturized high-throughput assay. The results were used to train a machine learning model, and a post-hoc explanation of the model is provided. By describing each signal peptide with a selection of 156 physicochemical features, it is now possible to both quantify feature importance and predict the protein secretion levels directed by each signal peptide. Our analyses allow the detection and explanation of the relevant signal peptide features influencing the efficiency of protein secretion, generating a versatile tool for the de novo design and in silico evaluation of signal peptides.

Standardization of Synthetic Biology Tools and Assembly Methods for Saccharomyces cerevisiae and Emerging Yeast Species.

As redesigning organisms using engineering principles is one of the purposes of synthetic biology (SynBio), the standardization of experimental methods and DNA parts is becoming increasingly a necessity. The synthetic biology community focusing on the engineering of Saccharomyces cerevisiae has been in the foreground in this area, conceiving several well-characterized SynBio toolkits widely adopted by the community. In this review, the molecular methods and toolkits developed for S. cerevisiae are discussed in terms of their contributions to the required standardization efforts. In addition, the toolkits designed for emerging nonconventional yeast species including Yarrowia lipolytica, Komagataella phaffii, and Kluyveromyces marxianus are also reviewed. Without a doubt, the characterized DNA parts combined with the standardized assembly strategies highlighted in these toolkits have greatly contributed to the rapid development of many metabolic engineering and diagnostics applications among others. Despite the growing capacity in deploying synthetic biology for common yeast genome engineering works, the yeast community has a long journey to go to exploit it in more sophisticated and delicate applications like bioautomation.

Optimization of the antimicrobial peptide Bac7 by deep mutational scanning.

BACKGROUND: Intracellularly active antimicrobial peptides are promising candidates for the development of antibiotics for human applications. However, drug development using peptides is challenging as, owing to their large size, an enormous sequence space is spanned. We built a high-throughput platform that incorporates rapid investigation of the sequence-activity relationship of peptides and enables rational optimization of their antimicrobial activity. The platform is based on deep mutational scanning of DNA-encoded peptides and employs highly parallelized bacterial self-screening coupled to next-generation sequencing as a readout for their antimicrobial activity. As a target, we used Bac71-23, a 23 amino acid residues long variant of bactenecin-7, a potent translational inhibitor and one of the best researched proline-rich antimicrobial peptides. RESULTS: Using the platform, we simultaneously determined the antimicrobial activity of >600,000 Bac71-23 variants and explored their sequence-activity relationship. This dataset guided the design of a focused library of ~160,000 variants and the identification of a lead candidate Bac7PS. Bac7PS showed high activity against multidrug-resistant clinical isolates of E. coli, and its activity was less dependent on SbmA, a transporter commonly used by proline-rich antimicrobial peptides to reach the cytosol and then inhibit translation. Furthermore, Bac7PS displayed strong ribosomal inhibition and low toxicity against eukaryotic cells and demonstrated good efficacy in a murine septicemia model induced by E. coli. CONCLUSION: We demonstrated that the presented platform can be used to establish the sequence-activity relationship of antimicrobial peptides, and showed its usefulness for hit-to-lead identification and optimization of antimicrobial drug candidates.

Discovery of antimicrobials by massively parallelized growth assays (Mex).

The number of newly approved antimicrobial compounds has been steadily decreasing over the past 50 years emphasizing the need for novel antimicrobial substances. Here we present Mex, a method for the high-throughput discovery of novel antimicrobials, that relies on E. coli self-screening to determine the bioactivity of more than ten thousand naturally occurring peptides. Analysis of thousands of E. coli growth curves using next-generation sequencing enables the identification of more than 1000 previously unknown antimicrobial peptides. Additionally, by incorporating the kinetics of growth inhibition, a first indication of the mode of action is obtained, which has implications for the ultimate usefulness of the peptides in question. The most promising peptides of the screen are chemically synthesized and their activity is determined in standardized susceptibility assays. Ten out of 15 investigated peptides efficiently eradicate bacteria at a minimal inhibitory concentration in the lower µM or upper nM range. This work represents a step-change in the high-throughput discovery of functionally diverse antimicrobials.

A Multiplexed Cell-Free Assay to Screen for Antimicrobial Peptides in Double Emulsion Droplets.

The global surge in bacterial resistance against traditional antibiotics triggered intensive research for novel compounds, with antimicrobial peptides (AMPs) identified as a promising candidate. Automated methods to systematically generate and screen AMPs according to their membrane preference, however, are still lacking. We introduce a novel microfluidic system for the simultaneous cell-free production and screening of AMPs for their membrane specificity. On our device, AMPs are cell-free produced within water-in-oil-in-water double emulsion droplets, generated at high frequency. Within each droplet, the peptides can interact with different classes of co-encapsulated liposomes, generating a membrane-specific fluorescent signal. The double emulsions can be incubated and observed in a hydrodynamic trapping array or analyzed via flow cytometry. Our approach provides a valuable tool for the discovery and development of membrane-active antimicrobials.

Directed evolution of biofuel-responsive biosensors for automated optimization of branched-chain alcohol biosynthesis.

The biosynthesis of short-chain alcohols is a carbon-neutral alternative to petroleum-derived production, but strain screening operations are encumbered by laborious analytics. Here, we built, characterized and applied whole cell biosensors by directed evolution of the transcription factor AlkS for screening microbial strain libraries producing industrially relevant alcohols. A selected AlkS variant was applied for in situ product detection in two screening applications concerning key steps in alcohol production. Further, the biosensor strains enabled the implementation of an automated, robotic platform-based workflow with data clustering, which readily allowed the identification of significantly improved strain variants for isopentanol production.

Whole-cell screening of oxidative enzymes using genetically encoded sensors.

Biocatalysis is increasingly used for synthetic purposes in the chemical and especially the pharmaceutical industry. Enzyme discovery and optimization which is frequently needed to improve biocatalytic performance rely on high-throughput methods for activity determination. These methods should ideally be generic and applicable to entire enzyme families. Hydrogen peroxide (H2O2) is a product of several biocatalytic oxidations and its formation can serve as a proxy for oxidative activity. We designed a genetically encoded sensor for activity measurement of oxidative biocatalysts via the amount of intracellularly-formed H2O2. A key component of the sensor is an H2O2-sensitive transcriptional regulator, OxyR, which is used to control the expression levels of fluorescent proteins. We employed the OxyR sensor to monitor the oxidation of glycerol to glyceraldehyde and of toluene to o-cresol catalysed by recombinant E. coli expressing an alcohol oxidase and a P450 monooxygenase, respectively. In case of the P450 BM3-catalysed reaction, we additionally monitored o-cresol formation via a second genetically encoded sensor based on the phenol-sensitive transcriptional activator, DmpR, and an orthogonal fluorescent reporter protein. Single round screens of mutant libraries by flow cytometry or by visual inspection of colonies on agar plates yielded significantly improved oxidase and oxygenase variants thus exemplifying the suitability of the sensor system to accurately assess whole-cell oxidations in a high-throughput manner.

Directed Evolution of a Surface-Displayed Artificial Allylic Deallylase Relying on a GFP Reporter Protein.

Artificial metalloenzymes (ArMs) combine characteristics of both homogeneous catalysts and enzymes. Merging abiotic and biotic features allows for the implementation of new-to-nature reactions in living organisms. Here, we present the directed evolution of an artificial metalloenzyme based on Escherichia coli surface-displayed streptavidin (SavSD hereafter). Through the binding of a ruthenium-pianostool cofactor to SavSD, an artificial allylic deallylase (ADAse hereafter) is assembled, which displays catalytic activity toward the deprotection of alloc-protected 3-hydroxyaniline. The uncaged aminophenol acts as a gene switch and triggers the overexpression of a fluorescent green fluorescent protein (GFP) reporter protein. This straightforward readout of ADAse activity allowed the simultaneous saturation mutagenesis of two amino acid residues in Sav near the ruthenium cofactor, expediting the screening of 2762 individual clones. A 1.7-fold increase of in vivo activity was observed for SavSD S112T-K121G compared to the wild-type SavSD (wt-SavSD). Finally, the best performing Sav isoforms were purified and tested in vitro (SavPP hereafter). For SavPP S112M-K121A, a total turnover number of 372 was achieved, corresponding to a 5.9-fold increase vs wt-SavPP. To analyze the marked difference in activity observed between the surface-displayed and purified ArMs, the oligomeric state of SavSD was determined. For this purpose, crosslinking experiments of E. coli cells overexpressing SavSD were carried out, followed by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and Western blot. The data suggest that SavSD is most likely displayed as a monomer on the surface of E. coli. We hypothesize that the difference between the in vivo and in vitro screening results may reflect the difference in the oligomeric state of SavSD vs soluble SavPP (monomeric vs tetrameric). Accordingly, care should be applied when evolving oligomeric proteins using E. coli surface display.

Plasmid replication based on the T7 origin of replication requires a T7 RNAP variant and inactivation of ribonuclease H.

T7 RNA polymerase (RNAP) is a valuable tool in biotechnology, basic research and synthetic biology due to its robust, efficient and selective transcription of genes. Here, we expand the scope of T7 RNAP to include plasmid replication. We present a novel type of plasmid, termed T7 ori plasmids that replicate, in an engineered Escherichia coli, with a T7 phage origin as the sole origin of replication. We find that while the T7 replication proteins; T7 DNA polymerase, T7 single-stranded binding proteins and T7 helicase-primase are dispensable for replication, T7 RNAP is required, although dependent on a T7 RNAP variant with reduced activity. We also find that T7 RNAP-dependent replication of T7 ori plasmids requires the inactivation of cellular ribonuclease H. We show that the system is portable among different plasmid architectures and ribonuclease H-inactivated E. coli strains. Finally, we find that the copy number of T7 ori plasmids can be tuned based on the induction level of RNAP. Altogether, this study assists in the choice of an optimal genetic tool by providing a novel plasmid that requires T7 RNAP for replication.

Systematic engineering of artificial metalloenzymes for new-to-nature reactions.

Artificial metalloenzymes (ArMs) catalyzing new-to-nature reactions could play an important role in transitioning toward a sustainable economy. While ArMs have been created for various transformations, attempts at their genetic optimization have been case specific and resulted mostly in modest improvements. To realize their full potential, methods to rapidly discover active ArM variants for ideally any reaction of interest are required. Here, we introduce a reaction-independent, automation-compatible platform, which relies on periplasmic compartmentalization in Escherichia coli to rapidly and reliably engineer ArMs based on the biotin-streptavidin technology. We systematically assess 400 ArM mutants for five bioorthogonal transformations involving different metals, reaction mechanisms, and reactants, which include novel ArMs for gold-catalyzed hydroamination and hydroarylation. Activity enhancements up to 15-fold highlight the potential of the systematic approach. Furthermore, we suggest smart screening strategies and build machine learning models that accurately predict ArM activity from sequence, which has crucial implications for future ArM development.

High-Throughput Optimization of Recombinant Protein Production in Microfluidic Gel Beads.

Efficient production hosts are a key requirement for bringing biopharmaceutical and biotechnological innovations to the market. In this work, a truly universal high-throughput platform for optimization of microbial protein production is described. Using droplet microfluidics, large genetic libraries of strains are encapsulated into biocompatible gel beads that are engineered to selectively retain any protein of interest. Bead-retained products are then fluorescently labeled and strains with superior production titers are isolated using flow cytometry. The broad applicability of the platform is demonstrated by successfully culturing several industrially relevant bacterial and yeast strains and detecting peptides or proteins of interest that are secreted or released from the cell via autolysis. Lastly, the platform is applied to optimize cutinase secretion in Komagataella phaffii (Pichia pastoris) and a strain with 5.7-fold improvement is isolated. The platform permits the analysis of >106 genotypes per day and is readily applicable to any protein that can be equipped with a His6 -tag. It is envisioned that the platform will be useful for large screening campaigns that aim to identify improved hosts for large-scale production of biotechnologically relevant proteins, thereby accelerating the costly and time-consuming process of strain engineering.

Ultra-high throughput screening for novel protease specificities.

The screening of large libraries of enzyme variants remains an essential tool in evolving biocatalysts toward improved properties for applications in medicine, chemistry, and a broad variety of other fields. Over the last decades, the technology for conducting systematic screens of arrayed members of a library of enzyme variants has made great strides in terms of increasing throughput and reducing assay volume. Here, we describe in detail an alternative to arrayed analysis, which is a screen based on density shifts in result of changed enzyme function, which allows highly parallelized screening. Specifically, we link changes in protease substrate specificity in vivo to the production of an alternative reporter protein, catalase. Depending on the catalase expression level, microcolonies of library bacteria with active protease variants contained in polymeric droplets generate an oxygen bubble, which causes a density shift in the droplet and enables it to float.

Taming the Beast of Biology: Synthetic Biology and Biological Systems Engineering.

Despite the availability of a variety of ' -omics ' technologies to support the system-wide analysis of industrially relevant microorganisms, the manipulation of strains towards an economically relevant goal remains a challenge. Remarkably, our ability to catalogue the participants in and model ever more comprehensive aspects of a microorganism's physiology is now complemented by technologies that permanently expand the scope of engineering interventions that can be imagined. In fact, genome-wide editing and re-synthesis of microbial and even eukaryotic chromosomes have become widely applied methods. At the heart of this emerging system-wide engineering approach, often labelled ' Synthetic Biology ' , is the continuous improvement of large-scale DNA synthesis, which is put to two-fold use: (i) starting ever more ambitious efforts to re-write existing and coding novel molecular systems, and (ii) designing and constructing increasingly sophisticated library technologies, which has led to a renaissance of directed evolution in strain engineering. Here, we briefly review some of the critical concepts and technological stepping-stones of Synthetic Biology on its way to becoming a mature industrial technology.

Semi-rational engineering of an amino acid racemase that is stabilized in aqueous/organic solvent mixtures.

Enzymes are industrially applied under increasingly diverse environmental conditions that are dictated by the efforts to optimize overall process efficiency. Engineering the operational stability of biocatalysts to enhance their half-lives under the desired process conditions is a widely applied strategy to reduce costs. Here, we present a simple method to enhance enzyme stability in the presence of monophasic aqueous/organic solvent mixtures based on the concept of strengthening the enzyme's surface hydrogen-bond network by exchanging surface-located amino acid residues for arginine. Suitable residues are identified from sequence comparisons with homologous enzymes from thermophilic organisms and combined using a shuffling approach to obtain an enzyme variant with increased stability in monophasic aqueous/organic solvent mixtures. With this approach, we increase the stability of the broad-spectrum amino acid racemase of Pseudomonas putida DSM 3263 eightfold in mixtures with 40% methanol and sixfold in mixtures with 30% acetonitrile.

In vivo directed enzyme evolution in nanoliter reactors with antimetabolite selection.

Scoring changes in enzyme or pathway performance by their effect on growth behavior is a widely applied strategy for identifying improved biocatalysts. While in directed evolution this strategy is powerful in removing non-functional catalysts in selections, measuring subtle differences in growth behavior remains difficult at high throughput, as it is difficult to focus metabolic control on only one or a few enzymatic steps over the entire process of growth-based discrimination. Here, we demonstrate successful miniaturization of a growth-based directed enzyme evolution process. For cultivation of library clones we employed optically clear gel-like microcarriers of nanoliter volume (NLRs) as reaction vessels and used fluorescence-assisted particle sorting to estimate the growth behavior of each of the gel-embedded clones in a highly parallelized fashion. We demonstrate that the growth behavior correlates with the desired improvements in enzyme performance and that we can fine-tune selection stringency by including an antimetabolite in the assay. As a model enzyme reaction, we improve the racemization of ornithine, a possible starting block for the large-scale synthesis of sulphostin, by a broad-spectrum amino acid racemase and confirm the discriminatory power by showing that even moderately improved enzyme variants can be readily identified.