Synthetic Biology Tools Research Articles

Optimisation of coumaric acid production from aromatic amino acids in Kluyveromyces marxianus

Yeasts are attractive hosts for the production of heterologous products due to their genetic tractability and relative ease of growth. While the baker’s yeast Saccharomyces cerevisiae is a powerful workhorse of the biotechnology industry, the species has metabolic limitations and it is critical that we develop alternative platforms that will facilitate the development of bioprocesses that rely on sustainable feedstocks. In this study, we used synthetic biology tools to construct coumaric acid–producing strains of Kluyveromyces marxianus, a yeast whose physiological traits render it attractive for biotechnology applications. Coumaric acid is a building block in the synthesis of many different families of aromatics and is a key precursor for the synthesis of complect phenylpropanoid molecules, including many flavours and aromas. The starting point for this work was a K. marxianus chassis strain that has increased flux towards the synthesis of tyrosine and phenylalanine, the aromatic amino acids that can serve as starting points for coumaric acid synthesis. Following principles of synthetic biology, a modular approach was taken to identify the best solution to different metabolic possibilities and these were then combined in different ways. For the first step, it was established that the route from phenylalanine was superior to that from tyrosine and the combined overexpression of PlPAL, AtC4H and AtCPR1 delivered the highest yield of coumaric acid. Next, it was established that while Pdc5 and Aro10 both had phenylpyruvate decarboxylase activity, inactivation of ARO10 was sufficient to prevent flux loss in the pathway. Since phenylalanine is the starting point, efforts were made to improve efficiency of its production. It was found that glutamate was a preferred nitrogen source for coumaric acid production, and this knowledge was used to engineer a strain that overexpressed S. cerevisiae GDH1 and delivered higher yields of coumaric acid. Ultimately, this strategy led to the development of strains that has yields of up to 48mg coumaric acid /g glucose. Strains were evaluated in bioreactors to investigate the effects of different process parameters. These analyses indicated that engineered strains face some redox balance challenges and further work will be required overcome these to develop strains that can perform well under industrial conditions.

Synthetic Biology-Enabled Engineering of Probiotics for Precision and Targeted Therapeutic Delivery Applications

Probiotics, defined as live microorganisms that offer health benefits when consumed in adequate amounts, have traditionally been used to maintain gastrointestinal (GI) health. They are effective in managing conditions such as inflammatory bowel disease (IBD), irritable bowel syndrome (IBS), and antibiotic-associated diarrhea. Recent research, however, has expanded their potential applications beyond the GI tract to include immune modulation, metabolic regulation, and mental health support. Despite these advances, conventional probiotics face limitations such as instability in harsh environments, lack of precise targeting, and ineffective control over drug release. This review explores the application of synthetic biology in addressing these limitations, emphasizing how tools such as CRISPR-Cas systems, synthetic gene circuits, and plasmid-based mechanisms enhance the stability, functionality, and specificity of engineered probiotics for therapeutic delivery. Applications of synthetic biology-enabled probiotics are examined across a range of health contexts, including GI health, cancer therapy, metabolic disorders, immune modulation, and mental well-being. Synthetic biology tools provide precise genetic modifications that improve the stability, viability, and functionality of engineered probiotics, enabling more targeted therapeutic delivery. Additionally, technologies such as encapsulation support probiotic survival, while gene circuits allow programmable, stimulus-responsive therapeutic release. As synthetic biology continues to advance, the development of programmable probiotics holds promise for personalized, targeted medicine, positioning probiotics as living therapeutics and patient-friendly alternatives to conventional therapeutic delivery systems.

Abstract I006: Programmable RNA sensors for internal states and external cues in living cells

Abstract Cell and gene therapies against cancer could be empowered by sensors that produce proteins in response to specific intracellular markers (e.g., expressing a cytotoxic payload in response to oncogenes) or extracellular cues (e.g., expressing a chimeric antigen receptor only when T cells are in the tumor microenvironment). An emerging delivery modality is in vitro transcribed mRNA, which holds the promise of superior safety and affordability than more conventional DNA vectors. While synthetic biology tools have predominantly relied on DNA-level regulations, here I will share two sensor designs uniquely compatible with mRNA delivery. First, for intracellular markers, a promising strategy is sensing mRNA transcripts. It is now straightforward to obtain single-cell transcriptomics, which are highly informative of cell type/state. If we can build RNA sensors to output arbitrary proteins in direct response to specific RNAs, we will access virtually any cell type/state for research and therapy. Furthermore, RNA base pairing would facilitate programmable designs. Previous RNA sensors relied on base pairing-induced conformational changes of RNA, and have met with limited success in mammalian cells. As an alternative strategy, we took advantage of endogenous ADAR (adenosine deaminases acting on RNA) enzymes that specifically edit adenosines to inosines (treated as guanosines during translation) in dsRNA, and created RADAR (RNA sensing using ADAR, Kaseniit et al., 2023). RADAR relies on the formation of dsRNA between the sensor RNA we introduce and the endogenous input RNA we’d like to detect; ADAR then edits a strategically positioned stop codon (UAG) into a tryptophan codon (UIG), enabling the translation of the downstream output coding sequence. We validated and optimized RADAR, and reported its compatibility with human/mouse transcriptomes. We showed that RADAR is programmable and modular. It also uniquely enables compact implementation of AND logic, important for integrating the inputs from multiple markers and unambiguously identifying cells of interest. We have since demonstrated RADAR in a variety of contexts including cancer lines with an elevated oncogene. Second, while transcripts mark cell types/states, extracellular ligands reflect the other key aspect that payload production could be conditioned on – the microenvironment. Although our field has plenty of synthetic receptors to offer when it comes to sensing ligands, all previously engineered modular ones require DNA-level operation. Inspired by the power of ADAR editing, we created LIDAR (Ligand-Induced Dimerization Activating RNA editing, Zhang & Mille et al., 2024). LIDAR brings an attenuated ADAR to the proximity of a stop codon in a ligand-dependent fashion, and is compatible with diverse inputs, outputs, and cellular contexts. We are in the process of demonstrating RADAR and LIDAR to improve cell therapies and enable non-invasive diagnostics. Citation Format: Xiaojing Gao. Programmable RNA sensors for internal states and external cues in living cells [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: RNAs as Drivers, Targets, and Therapeutics in Cancer; 2024 Nov 14-17; Bellevue, Washington. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(11_Suppl):Abstract nr I006.

Substrate-Multiplexed Assessment of Aromatic Prenyltransferase Activity.

An increasingly effective strategy to identify synthetically useful enzymes is to sample the diversity already present in Nature. Here, we construct and assay a panel of phylogenetically diverse aromatic prenyltransferases (PTs). These enzymes catalyze a variety of C-C bond forming reactions in natural product biosynthesis and are emerging as tools for synthetic chemistry and biology. Homolog screening was further empowered through substrate-multiplexed screening, which provides direct information on enzyme specificity. We perform a head-to-head assessment of the model members of the PT family and further identify homologs with divergent sequences that rival these superb enzymes. This effort revealed the first bacterial O-Tyr PT and, together, provide valuable benchmarking for future synthetic applications of PTs.

Engineering peroxisomal surface display for enhanced biosynthesis in the emerging yeast Kluyveromyces marxianus

The non-conventional yeast Kluyveromyces marxianus is a promising microbial host for industrial biomanufacturing. With the recent development of Cas9-based genome editing systems and other novel synthetic biology tools for K. marxianus, engineering of this yeast has become far more accessible. Enzyme colocalization is a proven approach to increase pathway flux and the synthesis of non-native products. Here, we engineer K. marxianus to enable peroxisomal surface display, an enzyme colocalization technique for displaying enzymes on the peroxisome membrane via an anchoring motif from the peroxin Pex15. The native KmPex15 anchoring motif was identified and fused to GFP, resulting in successful localization to the surface of the peroxisomes. To demonstrate the advantages for pathway localization, the Pseudomonas savastanoi IaaM and IaaH enzymes were co-displayed on the peroxisome surface; this increased production of indole-3-acetic acid 7.9-fold via substrate channeling effects. We then redirected pathway flux by displaying the violacein pathway enzymes VioE and VioD from Chromobacterium violaceum, increasing selectivity of proviolacein to prodeoxyviolacein by 2.5-fold. Finally, we improved direct access to peroxisomal acetyl-CoA and increased titers of the polyketide triacetic acid lactone (TAL) by 2-fold through concurrent display of the proteins Cat2, Acc1, and the type III PKS 2-pyrone synthase from Gerbera hybrida relative to the same three enzymes diffusing in the cytosol. We further improved TAL production by up to 2.1-fold through engineering peroxisome morphology and lifespan. Our findings demonstrate that peroxisomal surface display is an efficient enzyme colocalization strategy in K. marxianus and applicable for improving production of a wide range of non-native products.

SUPREM: an engineered non-site-specific m6A RNA methyltransferase with highly improved efficiency.

N 6-Methyladenine(m6A) RNA methylation plays a key role in RNA processing and translational regulation, influencing both normal physiological and pathological processes. Yet, current techniques for studying RNA methylation struggle to isolate the effects of individual m6A modifications. Engineering of RNA methyltransferases (RNA MTases) could enable development of improved synthetic biology tools to manipulate RNA methylation, but it is challenging due to limited understanding of structure-function relationships in RNA MTases. Herein, using ancestral sequence reconstruction, we explore the sequence space of the bacterial DNA methyltransferase EcoGII (M.EcoGII), a promising target for protein engineering due to its lack of sequence specificity and its residual activity on RNA. We thereby created an efficient non-specific RNA MTase termed SUPer RNA EcoGII Methyltransferase (SUPREM), which exhibits 8-fold higher expression levels, 7°C higher thermostability and 12-fold greater m6A RNA methylation activity compared with M.EcoGII. Immunofluorescent staining and quantitativeliquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis confirmed SUPREM's higher RNA methylation activity compared with M.EcoGII in mammalian cells. Additionally, Nanopore direct RNA sequencing highlighted that SUPREM is capable of methylating a larger number of RNA methylation sites than M.EcoGII. Through phylogenetic and mutational analysis, we identified a critical residue for the enhanced RNA methylation activity of SUPREM. Collectively, our findings indicate that SUPREM holds promise as a versatile tool for in vivo RNA methylation and labeling.

Synthesis of β-ionone from xylose and lignocellulosic hydrolysate in genetically engineered oleaginous yeast Yarrowia lipolytica.

β-ionone, an apocarotenoid derived from a C40 terpenoid has an intense, woody smell and a low odor threshold that has been widely used in as an ingredient in food and cosmetics. Yarrowia lipolytica is a promising host for β-ionone production because of its oleaginous nature, its ability to produce high levels of acetyl-CoA (an important precursor for terpenoids), and the availability of synthetic biology tools to engineer the organism. In this study, β-carotene-producing Y. lipolytica strain XK17 was employed for β-ionone biosynthesis. First, we explored the effect of different sources of carotenoid cleavage dioxygenase (CCD) genes on β-ionone production. A high-yielding strain rUinO-D14 with 122mg/L of β-ionone was obtained by screening promoters combined with rDNA mediated multi-round iterative transformations to optimize the expression of the CCD gene of Osmanthus fragrans. Second, to further develop a high-level production strain for β-ionone, we optimized key genes in the mevalonate pathway by multi-round iterative transformations mediated by non-homologous end joining, combined with a protein tagging strategy. Finally, the introduction of a heterologous oxidoreductase pathway enabled the engineered Y. lipolytica strain to use xylose as a sole carbon source and produce β-ionone. In addition, the potential for use of lignocellulosic hydrolysate as the carbon source for β-ionone production showed that the NHA-A31 strain had a high β-ionone productivity level. This study demonstrates that engineered Y. lipolytica can be used for the efficient, green and sustainable production of β-ionone.

Templated Pluripotent Stem Cell Differentiation via Substratum-Guided Artificial Signaling.

The emerging field of synthetic morphogenesis implements synthetic biology tools to investigate the minimal cellular processes sufficient for orchestrating key developmental events. As the field continues to grow, there is a need for new tools that enable scientists to uncover nuances in the molecular mechanisms driving cell fate patterning that emerge during morphogenesis. Here, we present a platform that combines cell engineering with biomaterial design to potentiate artificial signaling in pluripotent stem cells (PSCs). This platform, referred to as PSC-MATRIX, extends the use of programmable biomaterials to PSCs competent to activate morphogen production through orthogonal signaling, giving rise to the opportunity to probe developmental events by initiating morphogenetic programs in a spatially constrained manner through non-native signaling channels. We show that the PSC-MATRIX platform enables temporal and spatial control of transgene expression in response to bulk, soluble inputs in synthetic Notch (synNotch)-engineered human PSCs for an extended culture of up to 11 days. Furthermore, we used PSC-MATRIX to regulate multiple differentiation events via material-mediated artificial signaling in engineered PSCs using the orthogonal ligand green fluorescent protein, highlighting the potential of this platform for probing and guiding fate acquisition. Overall, this platform offers a synthetic approach to interrogate the molecular mechanisms driving PSC differentiation that could be applied to a variety of differentiation protocols.

Probing the orthogonality and robustness of the mammalian RNA-binding protein Musashi-1 in Escherichia coli

RNA recognition motifs (RRMs) are widespread RNA-binding protein domains in eukaryotes, which represent promising synthetic biology tools due to their compact structure and efficient activity. Yet, their use in prokaryotes is limited and their functionality poorly characterized. Recently, we repurposed a mammalian Musashi protein containing two RRMs as a translation regulator in Escherichia coli. Here, employing high-throughput RNA sequencing, we explored the impact of Musashi expression on the transcriptomic and translatomic profiles of E. coli, revealing certain metabolic interference, induction of post-transcriptional regulatory processes, and spurious protein-RNA interactions. Engineered Musashi protein mutants displayed compromised regulatory activity, emphasizing the importance of both RRMs for specific and sensitive RNA binding. We found that a mutation known to impede allosteric regulation led to similar translation control activity. Evolutionary experiments disclosed a loss of function of the synthetic circuit in about 40 generations, with the gene coding for the Musashi protein showing a stability comparable to other heterologous genes. Overall, this work expands our understanding of RRMs for post-transcriptional regulation in prokaryotes and highlight their potential for biotechnological and biomedical applications.

Modular Cloning Tools for Streptomyces spp. and Application to the De Novo Biosynthesis of Flavokermesic Acid.

The filamentous Streptomyces are among the most prolific producers of bioactive natural products and are thus attractive chassis for the heterologous expression of native and designed biosynthetic pathways. Although suitable Streptomyces hosts exist, including genetically engineered cluster-free mutants, the approach is currently limited by the relative paucity of synthetic biology tools facilitating the de novo assembly of multicomponent gene clusters. Here, we report a modular system (MoClo) for Streptomyces including a set of adapted vectors and genetic elements, which allow for the construction of complete genetic circuits. Critical functional validation of each of the elements was obtained using the previously reported β-glucuronidase (GusA) reporter system. Furthermore, we provide proof-of-principle for the toolbox inS. albus, demonstrating the efficient assembly of a biosynthetic pathway to flavokermesic acid (FK), an advanced precursor of the commercially valuable carminic acid.

Multilevel Systematic Optimization To Achieve Efficient Integrated Expression of Escherichia coli.

Genomic integration of heterologous genes is the preferred approach in industrial fermentation-related strains due to the drawbacks associated with plasmid-mediated microbial fermentation, including additional growth burden, genetic instability, and antibiotic contamination. Synthetic biology and genome editing advancements have made gene integration convenient. Integrated expression is extensively used in the field of biomanufacturing and is anticipated to become the prevailing method for expressing recombinant proteins. Therefore, it is pivotal to strengthen the expression of exogenous genes at the genome level. Here, we systematically optimized the integrated expression system of Escherichia coli from 3 aspects. First, the integration site slmA with the highest expression activity was screened out of 18 sites in the ORI region of the E. coli BL21 (DE3) genome. Second, we characterized 16 endogenous promoters in E. coli and combined them with the T7 promoter. A constitutive promoter, Plpp-T7, exhibited significantly higher expression strength than the T7 promoter, achieving a 3.3-fold increase in expression levels. Finally, to further enhance the T7 expression system, we proceeded with overexpression of T7 RNA polymerase at the chassis cell level. The resulting constitutive efficient integrated expression system (CEIES_Ecoli) showed a 2-fold increase in GFP expression compared to the pET3b recombinant plasmid. Therefore, CEIES_Ecoli was applied to the integrated expression of nitrilase and hyaluronidase, achieving stable and efficient enzyme expression, with enzyme activities of 22.87 and 12,195 U·mL-1, respectively, comparable to plasmid levels. Overall, CEIES_Ecoli provides a stable and efficient method of gene expression without the need for antibiotics or inducers, making it a robust tool for synthetic biology, enzyme engineering, and related applications.

Genome Mining and Biological Engineering of Type III Borosins from Bacteria.

Borosins are a class of ribosomally synthesized and post-translationally modified peptides (RiPPs) with α-N-methylated backbones. Although the first mature compound of borosin was reported in 1997, the biosynthetic pathway was elucidated 20 years later. Until this work, borosins have been able to be categorized into 11 types based on the features of their protein structure and core peptides. Type III borosins were reported only in fungi initially. In order to explore the sources and potential of type III borosins, a precise genome mining work of type III borosins was conducted in bacteria and KchMA's self-methylation activity was validated by biochemical experiment. Furthermore, a commercial protease and AI-assisted rational design was employed to engineer KchMA for the capacity to produce various N-methylated peptides. Our work demonstrates that type III borosins are abundant not only in eukaryotes but also in bacteria and have immense potential as a tool for synthetic biology.

MutaT7GDE: A Single Chimera for the Targeted, Balanced, Efficient, and Processive Installation of All Possible Transition Mutations In Vivo.

Deaminase-T7 RNA polymerase fusion (MutaT7) proteins are a growing class of synthetic biology tools used to diversify target genes during in vivo laboratory evolution. To date, MutaT7 chimeras comprise either a deoxyadenosine or deoxycytidine deaminase fused to a T7 RNA polymerase. Their expression drives targeted deoxyadenosine-to-deoxyguanosine or deoxycytidine-to-deoxythymidine mutagenesis, respectively. Here, we repurpose recently engineered substrate-promiscuous general deaminases (GDEs) to establish a substantially simplified system based on a single chimeric enzyme capable of targeting both deoxyadenosine and deoxycytidine. We assess on- and off-target mutagenesis, strand and context preference, and parity of deamination for four different MutaT7GDE constructs. We identify a single chimera that installs all possible transition mutations more efficiently than preexisting, more cumbersome MutaT7 tools. The optimized MutaT7GDE chimera reported herein is a next-generation hypermutator capable of mediating efficient and uniform target-gene diversification during in vivo directed evolution.

Y-switch: a spring-loaded synthetic gene switch for robust DNA/RNA signal amplification and detection.

Nucleic acid tests (NATs) are essential for biomedical diagnostics. Traditional NATs, often complex and expensive, have prompted the exploration of toehold-mediated strand displacement (TMSD) circuits as an economical alternative. However, the wide application of TMSD-based reactions is limited by 'leakage'-the spurious activation of the reaction leading to high background signals and false positives. Here, we introduce the Y-Switch, a new TMSD cascade design that recognizes a custom nucleic acid input and generates an amplified output. The Y-Switch is based on a pair of thermodynamically spring-loaded DNA modules. The binding of a predefined nucleic acid target triggers an intermolecular reaction that activates a T7 promoter, leading to the perpetual transcription of a fluorescent aptamer that can be detected by a smartphone camera. The system is designed to permit the selective depletion of leakage byproducts to achieve high sensitivity and zero-background signal in the absence of the correct trigger. Using Zika virus (ZIKV)- and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-derived nucleic acid sequences, we show that the assay generates a reliable target-specific readout. Y-Switches detect native RNA under isothermal conditions without reverse transcription or pre-amplification, with a detection threshold as low as ∼200 attomole. The modularity of the assay allows easy re-programming for the detection of other targets by exchanging a single sequence domain. This work provides a low-complexity and high-fidelity synthetic biology tool for point-of-care diagnostics and for the construction of more complex biomolecular computations.

LIM-domain-only 4 (LMO4) enhances CD8+ T-cell stemness and tumor rejection by boosting IL-21-STAT3 signaling

High frequencies of stem-like memory T cells in infusion products correlate with superior patient outcomes across multiple T cell therapy trials. Herein, we analyzed a published CRISPR activation screening to identify transcriptional regulators that could be harnessed to augment stem-like behavior in CD8+ T cells. Using IFN-γ production as a proxy for CD8+ T cell terminal differentiation, LMO4 emerged among the top hits inhibiting the development of effectors cells. Consistently, we found that Lmo4 was downregulated upon CD8+ T cell activation but maintained under culture conditions facilitating the formation of stem-like T cells. By employing a synthetic biology approach to ectopically express LMO4 in antitumor CD8+ T cells, we enabled selective expansion and enhanced persistence of transduced cells, while limiting their terminal differentiation and senescence. LMO4 overexpression promoted transcriptional programs regulating stemness, increasing the numbers of stem-like CD8+ memory T cells and enhancing their polyfunctionality and recall capacity. When tested in syngeneic and xenograft tumor models, LMO4 overexpression boosted CD8+ T cell antitumor immunity, resulting in enhanced tumor regression. Rather than directly modulating gene transcription, LMO4 bound to JAK1 and potentiated STAT3 signaling in response to IL-21, inducing the expression of target genes (Tcf7, Socs3, Junb, and Zfp36) crucial for memory responses. CRISPR/Cas9-deletion of Stat3 nullified the enhanced memory signature conferred by LMO4, thereby abrogating the therapeutic benefit of LMO4 overexpression. These results establish LMO4 overexpression as an effective strategy to boost CD8+ T cell stemness, providing a new synthetic biology tool to bolster the efficacy of T cell-based immunotherapies.

Engineering artificial cross-species promoters with different transcriptional strengths

As a fundamental tool in synthetic biology, promoters are pivotal in regulating gene expression, enabling precise genetic control and spurring innovation across diverse biotechnological applications. However, most advances in engineered genetic systems rely on host-specific regulation of the genetic portion. With the burgeoning diversity of synthetic biology chassis cells, there emerges a pressing necessity to broaden the universal promoter toolkit spectrum, ensuring adaptability across various microbial chassis cells for enhanced applicability and customization in the evolving landscape of synthetic biology. In this study, we analyzed and validated the primary structures of natural endogenous promoters from Escherichia coli, Bacillus subtilis, Corynebacterium glutamicum, Saccharomyces cerevisiae, and Pichia pastoris, and through strategic integration and rational modification of promoter motifs, we developed a series of cross-species promoters (Psh) with transcriptional activity in five strains (prokaryotic and eukaryotic). This series of cross species promoters can significantly expand the synthetic biology promoter toolkit while providing a foundation and inspiration for standardized development of universal components The combinatorial use of key elements from prokaryotic and eukaryotic promoters presented in this study represents a novel strategy that may offer new insights and methods for future advancements in promoter engineering.

Rewiring gene circuitry for plant improvement.

Aspirations for high crop growth and yield, nutritional quality and bioproduction of materials are challenged by climate change and limited adoption of new technologies. Here, we review recent advances in approaches to profile and model gene regulatory activity over developmental and response time in specific cells, which have revealed the basis of variation in plant phenotypes: both redeployment of key regulators to new contexts and their repurposing to control different slates of genes. New synthetic biology tools allow tunable, spatiotemporal regulation of transgenes, while recent gene-editing technologies enable manipulation of the regulation of native genes. Ultimately, understanding how gene circuitry is wired to control form and function across varied plant species, combined with advanced technology to rewire that circuitry, will unlock solutions to our greatest challenges in agriculture, energy and the environment.

Metabolic engineering of fast growing cyanobacteria for phototrophic production of 2,3-butanediol

Metabolic engineering of cyanobacteria holds great potential for sustainable photosynthetic production of platform chemicals from CO2. However, product titers have been significantly low due to the slow growth rates of available model strains and lack of adequate synthetic biology tools. Here, we engineered three newly isolated fast growing Synechococcus elongatus strains PCC 11801, PCC 11802, and IITB6 for production of the platform chemical 2,3-butanediol. Importantly, we used native cyanobacterial promoters to enable inducer-free gene expression and 2,3-butanediol production. Different combinations of these native promoters were employed to optimize expression of the three-gene 2,3-butanediol synthesis pathway. Among the strains tested in this study, the highest 2,3-butanediol titer of 1.62 g L−1 (130 mg L−1 Day−1) was obtained in IITB6 (PcpcB300:alsS::PpsbAIII:alsD::PrbcL:adh), with the highest reported photosynthetic productivity in cyanobacteria cultivated on minimal media. The findings from our study highlight the potential of using fast growing S. elongatus isolates with native cyanobacterial promoters for metabolic engineering applications.

Accelerating Diverse Cell-Based Therapies Through Scalable Design.

Augmenting cells with novel, genetically encoded functions will support therapies that expand beyond natural capacity for immune surveillance and tissue regeneration. However, engineering cells at scale with transgenic cargoes remains a challenge in realizing the potential of cell-based therapies. In this review, we introduce a range of applications for engineering primary cells and stem cells for cell-based therapies. We highlight tools and advances that have launched mammalian cell engineering from bioproduction to precision editing of therapeutically relevant cells. Additionally, we examine how transgenesis methods and genetic cargo designs can be tailored for performance. Altogether, we offer a vision for accelerating the translation of innovative cell-based therapies by harnessing diverse cell types, integrating the expanding array of synthetic biology tools, and building cellular tools through advanced genome writing techniques.

Directed evolution of material-producing microorganisms

Nature is home to a variety of microorganisms that create materials under environmentally friendly conditions. While this offers an attractive approach for sustainable manufacturing, the production of materials by native microorganisms is usually slow and synthetic biology tools to engineer faster microorganisms are only available when prior knowledge of genotype-phenotype links is available. Here, we utilize a high-throughput directed evolution platform to enhance the fitness of whole microorganisms under selection pressure and identify genetic pathways to enhance the material production capabilities of native species. Using Komagataeibacter sucrofermentans as a model cellulose-producing microorganism, we show that our droplet-based microfluidic platform enables the directed evolution of these bacteria toward a small number of cellulose overproducers from an initial pool of 40,000 random mutants. Sequencing of the evolved strains reveals an unexpected link between the cellulose-forming ability of the bacteria and a gene encoding a protease complex responsible for protein turnover in the cell. The ability to enhance the fitness of microorganisms toward a specific phenotype and to unravel genotype-phenotype links makes this high-throughput directed evolution platform a promising tool for the development of new strains for the sustainable manufacturing of materials.