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From peptides to proteins: coiled-coil tetramers to single-chain 4-helix bundles

The design of completely synthetic proteins from first principles--de novo protein design--is challenging. This is because, despite recent advances in computational protein-structure prediction and design, we do not understand fully the sequence-to-structure relationships for protein folding, assembly, and stabilization. Antiparallel 4-helix bundles are amongst the most studied scaffolds for de novo protein design. We set out to re-examine this target, and to determine clear sequence-to-structure relationships, or design rules, for the structure. Our aim was to determine a common and robust sequence background for designing multiple de novo 4-helix bundles, which, in turn, could be used in chemical and synthetic biology to direct protein-protein interactions and as scaffolds for functional protein design. Our approach starts by analyzing known antiparallel 4-helix coiled-coil structures to deduce design rules. In terms of the heptad repeat, abcdefg--i.e., the sequence signature of many helical bundles--the key features that we identify are: a = Leu, d = Ile, e = Ala, g = Gln, and the use of complementary charged residues at b and c. Next, we implement these rules in the rational design of synthetic peptides to form antiparallel homo- and heterotetramers. Finally, we use the sequence of the homotetramer to derive a single-chain 4-helix-bundle protein for recombinant production in E. coli. All of the assembled designs are confirmed in aqueous solution using biophysical methods, and ultimately by determining high-resolution X-ray crystal structures. Our route from peptides to proteins provides an understanding of the role of each residue in each design.

synthetic biology↗

Self-dyeing textiles grown from cellulose-producing bacteria with engineered tyrosinase expression

Environmental concerns are driving interests in post-petroleum synthetic textiles produced from microbial and fungal sources. Bacterial cellulose is a promising sustainable leather alternative, on account of its material properties, low infrastructure needs and biodegradability. However, for alternative textiles like bacterial cellulose to be fully sustainable, alternative ways to dye textiles need to be developed alongside alternative production methods. To address this, we here use genetic engineering of Komagataeibacter rhaeticus to create a bacterial strain that grows self-dyeing bacterial cellulose. Dark black pigmentation robust to material use is achieved through melanin biosynthesis in the bacteria from recombinant tyrosinase expression. Melanated bacterial cellulose production can be scaled up for the construction of prototype fashion products, and we illustrate the potential of combining engineered self-dyeing with tools from synthetic biology, via the optogenetic patterning of gene expression in cellulose-producing bacteria. With this work, we demonstrate that combining genetic engineering with current and future methods of textile biofabrication has the potential to create a new class of textiles.

synthetic biology↗

Engineering Ca2+-dependent DNA polymerase activity

Advancements in synthetic biology have provided new opportunities in biosensing with applications ranging from genetic programming to diagnostics. Next generation biosensors aim to expand the number of accessible environments for measurement, increase the number of measurable phenomena, and improve the quality of the measurement. To this end, an emerging area in the field has been the integration of DNA as an information storage medium within biosensor outputs, leveraging nucleic acids to record biosensor state over time. However, slow signal transduction steps, due to the timescales of transcription and translation, bottleneck many sensing-DNA recording approaches. DNA polymerases (DNAPs) have been proposed as a solution to the signal transduction problem by operating as both the sensor and responder, but there is presently a lack of DNAPs with functional sensitivity to many desirable target ligands. Here, we engineer components of the Pol {delta} replicative polymerase complex of Saccharomyces cerevisiae to sense and respond to Ca2+, a metal cofactor relevant to numerous biological phenomena. Through domain insertion and binding site grafting to Pol {delta} subunits, we demonstrate functional allosteric sensitivity to Ca2+. Together, this work provides an important foundation for future efforts in developing DNAP-based biosensors.

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Embedded Extremum Seeking: A Bio-synthetic Optimiser

In cybergentics, internal control uses synthetic genetic circuits to bypass the sensing and actuation limits of external control. Currently, embedded controllers are limited to basic controllers, like PID. Here, we introduce the Embedded Extremum Seeking Controller, the first example of a bio-synthetic optimiser. Extremum Seeking combines an integral and oscillator circuit to adjust system parameters and achieve a desired optimal steady state. This system uses an integral circuit and oscillator that already exist in synthetic biology. The Extremum Seeker is demonstrated in silico on a Labour Division system, where the controller tunes a kinematic parameter, optimising the ratio of the culture subpopulations to maximise production. This controller paves the way for embedded controllers that precisely direct cellular behaviour without needing external actuation and sensing.

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Human ORFeome expression in S. cerevisiae to better understand extracellular vesicle biology

Extracellular vesicles (EVs) mediate intercellular communication by all organisms studied, from bacteria to yeast to man. Yet evolutionarily conserved mechanisms governing aspects of fundamental EV biology remain enigmatic. To address this, we sought to establish Saccharomyces cerevisiae (bakers yeast) as a model by identifying ectopically expressed human proteins sorted into yeast EVs. Using an optimized pooled cloning method, we inserted >13,000 human open reading frames (ORFs) upstream of an GFP tag within yeast expression plasmids. After transformation into S. cerevisiae, we confirmed expression of 3,288 GFP-tagged human proteins with diverse cellular expression levels and subcellular localizations. Heat stress triggered release of intact, lipid-bound, EGFP-positive small EVs from all transformant pools. Proteomic analysis identified 292 human proteins within EV samples, including canonical human EV biomarkers. Over 70% had yeast orthologs also found in yeast EVs suggesting conserved sorting mechanisms. Protein-protein interaction network analysis linked these EV cargoes to ESCRT-associated pathways. Finally, validation of seven candidates showed that DEF3A, ANXA2 and CLIC1 were enriched in yeast EVs. This study establishes an omics-compatible synthetic biology framework to humanize yeast EVs, begins to uncover conserved cargo sorting mechanisms, and supports future engineering of designer EVs.

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Yeast MoClo secretion and surface display toolkit 2.0: improvements and applications for analysis of protein-protein interactions and whole-cell biocatalysis

Saccharomyces cerevisiae is an invaluable model organism for both fundamental biological research and biotechnological applications including recombinant protein production as well as protein and metabolic engineering. We previously developed a modular cloning (MoClo) based toolkit for S. cerevisiae that facilitates rapid optimization of signal peptides and anchor proteins for efficient secretion and/or surface display of heterologous proteins of interest. Here we describe further improvements and applications of this yeast secretion and display (YSD) toolkit. New parts encoding anchor proteins based on N-terminal fusion to a truncated Aga1 and C-terminal fusion to Aga2, each with three possible epitope tag options, are described. We also added parts that facilitate high throughput detection of secreted proteins of interest through GFP fluorescence complementation and parts encoding "secretion boosting" yeast proteins, whose overexpression has previously been reported to enhance secretion of heterologous proteins. In addition, two surface display applications of the toolkit are showcased. We demonstrate that yeast surface display of an anti-GFP nanobody allows cost-effective evaluation of the interactions of GFP-tagged proteins of interest, either by flow cytometry or yeast-based co-immunoprecipitation. In addition, using yeast cells as whole-cell catalysts, we show that co-display of the poly(ethylene terephthalate) (PET) degrading enzyme leaf-branch compost cutinase with hydrophobin1 enhances the breakdown of PET plastic, while triple co-display of these proteins with MHETase causes complete conversion of the intermediary monohydroxyLethyl-terephthalate (MHET) to terephthalic acid. The diverse applications described herein demonstrate the broad applications of the updated MoClo YSD toolkit 2.0 in both synthetic biology and other research fields.

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Genome-wide screen for enhanced noncanonical amino acid incorporation in yeast

Numerous applications of noncanonical amino acids (ncAAs) in basic biology and therapeutic development require efficient protein biosynthesis using an expanded genetic code. However, achieving such incorporation at repurposed stop codons in cells is generally inefficient and limited by complex cellular processes that preserve the fidelity of protein synthesis. A more comprehensive understanding of the processes that contribute to ncAA incorporation would aid in the development of genomic engineering strategies for augmenting genetic code manipulation. In this work, we screened a pooled Saccharomyces cerevisiae molecular barcoded yeast knockout (YKO) collection to identify single-gene knockout strains exhibiting improved ncAA incorporation efficiency in response to the amber (TAG) stop codon. We used a series of intracellular fluorescent reporters in tandem with fluorescence activated cell sorting (FACS) to identify 55 unique candidate deletion strains. Identified genes encode for proteins that participate in diverse cellular processes; many of the genes have no known connection with protein translation. We then verified that two knockouts, yil014c-a{Delta} and alo1{Delta}, had improved incorporation efficiency using independently acquired strains possessing the knockouts. Characterizations of the activity of yil014c-a{Delta} and alo1{Delta} with additional orthogonal translation systems and ncAAs indicate that deletion of each of these genes enhances ncAA incorporation efficiency without loss of fidelity over a wide range of conditions. Our findings highlight opportunities for further modulating gene expression with genetic, genomic, and synthetic biology approaches to improve ncAA incorporation efficiency. In addition, these discoveries have the potential to enhance our fundamental understanding of protein translation. Ultimately, this study provides a foundation for future efforts to engineer cells to incorporate ncAA at greater efficiencies, which in turn will streamline the realization of applications utilizing expanded genetic codes ranging from basic biology to drug discovery. O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

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Multiplexing cell-cell communication

The engineering of advanced multicellular behaviors, such as the programmed growth of biofilms or tissues, requires cells to communicate multiple aspects of physiological information. Unfortunately, few cell-cell communication systems have been developed for synthetic biology. Here, we engineer a genetically-encoded channel selector device that enables a single communication system to transmit two separate intercellular conversations. Our design comprises multiplexer and demultiplexer sub-circuits constructed from a total of 12 CRISPRi-based transcriptional logic gates, an acyl homoserine lactone-based communication module, and three inducible promoters that enable small molecule control over the conversations. Experimentally-parameterized mathematical models of the sub-components predict the steady state and dynamical performance of the full system. Multiplexed cell-cell communication has applications in synthetic development, metabolic engineering, and other areas requiring the coordination of multiple pathways amongst a community of cells.\n\nOne Sentence SummaryWe have engineered a synthetic genetic system that enables bacteria to have two separate conversations over a single chemical \"wire\" by separating the conversations in time.

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Receptor-guided AAV Tropism Engineering via MATCH

Precise control over viral tropism remains a major challenge in the development of gene delivery technologies. We present MATCH (Modulation of AAV Tropism through Conjugation to Homing proteins), a modular biochemical method that enables programmable, receptor-guided retargeting of adeno-associated viruses (AAVs) through site-specific covalent protein conjugation. By incorporating a SpyTag peptide motif into selected AAV capsid loops, MATCH allows one-step, stoichiometrically defined attachment of recombinant SpyCatcher-linked targeting proteins to the viral surface. Using mosaic AAV-DJ and AAV9 capsids with controlled SpyTag incorporation, we achieve efficient assembly and tunable ligand display. MATCH-AAVs conjugated to an anti-CD3 single-chain antibody efficiently activate and transduce resting human T cells within mixed PBMC populations in vitro, achieving transduction levels of up to [~]58% of total PBMCs. Conjugation to transferrin receptor (TfR1)-binding proteins yielded enhanced brain transduction in vivo, with murine TfR1-targeted MATCH-AAV9 exhibiting up to an 84-fold increase in brain expression relative to wild-type AAV9. Human TfR1-targeted vectors similarly enabled robust, receptor-dependent transduction both in vitro and in humanized mouse models. Both TfR-targeted vectors enabled widespread transduction of the parenchyma, consistent with TfR1-mediated crossing of the blood-brain barrier. Finally, we establish a streamlined one-pot "Mix-and-MATCH" production strategy in which capsid and targeting ligands are co-expressed during vector generation, yielding functional, targeted AAVs at titers comparable to conventional production. This simple and generalizable synthetic-biology approach provides a versatile toolkit for rational AAV tropism engineering, offering a scalable route to custom vector design for research and therapeutic applications. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/715691v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@1935815org.highwire.dtl.DTLVardef@7c05faorg.highwire.dtl.DTLVardef@6c8857org.highwire.dtl.DTLVardef@16b2097_HPS_FORMAT_FIGEXP M_FIG C_FIG

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A programmable mRNA platform for miRNA detection via miRNA-mRNA2 triplex-mediated ribosomal frameshifting

Programmed -1 ribosomal frameshifting (-1 PRF) is a recoding mechanism utilized by viruses to expand their coding capacity and modulate the stoichiometric ratio of -1 frame and 0 frame translation products. The stability of mRNA secondary structure at the ribosomal entry site within the frameshifting stimulating elements (FSEs) determines the frameshifting efficiency. Here, we report the development of a programmable mRNA-based platform that detects specific mature microRNA (miRNA or miR) by converting their presence into a quantifiable protein output through miRNA-triggered -1 PRF. We designed a triplex-forming mRNA (TF-mRNA) platform to selectively trap target miRNAs through the formation of major-groove mRNA-miRNA-mRNA (miR-mRNA2) triplexes. Bio-layer interferometry and fluorescence binding studies confirmed that TF-mRNA forms stable complexes with cognate miRNAs with low nanomolar affinity and prolonged dissociation rate. Critically, the formation of miR-mRNA2 triplex robustly stimulated ribosomal frameshifting in a cell-free dual-luciferase translation system, acting as a miRNA-dependent molecular switch. The generality of this TF-mRNA platform has been verified for several disease-associated purine-rich miRNAs, and it is suitable for targeting a wide range of other purine-enriched miRNAs. This programmable TF-mRNA platform establishes a foundation for developing novel diagnostic tools and synthetic biology circuits that convert the presence of miRNA into a quantifiable protein output. TOC Figure O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/690164v1_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@1d6d9f7org.highwire.dtl.DTLVardef@8008e6org.highwire.dtl.DTLVardef@1c8344borg.highwire.dtl.DTLVardef@e153ec_HPS_FORMAT_FIGEXP M_FIG C_FIG

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dFLASH; dual FLuorescent transcription factor Activity Sensor for Histone integrated live-cell reporting and high-content screening

Live-cell reporting of regulated transcription factor (TF) activity has a wide variety of applications in synthetic biology, drug discovery, and functional genomics. As a result, there is high value in the generation of versatile, sensitive, robust systems that can function across a range of cell types and be adapted toward diverse TF classes. Here we present the dual FLuorescent transcription factor Activity Sensor for Histone integrated live-cell reporting (dFLASH), a modular sensor for TF activity that can be readily integrated into cellular genomes. We demonstrate readily modified dFLASH platforms that homogenously, robustly, and specifically sense regulation of endogenous Hypoxia Inducible Factor (HIF) and Progesterone receptor (PGR) activities, as well as regulated coactivator recruitment to a synthetic DNA-Binding Domain-Activator Domain fusion proteins. The dual-colour nuclear fluorescence produced normalised dynamic live-cell TF activity sensing with facile generation of high-content screening lines, strong signal:noise ratios and reproducible screening capabilities (Z = 0.68-0.74). Finally, we demonstrate the utility of this platform for functional genomics applications by using CRISPRoff to modulate the HIF regulatory pathway, and for drug screening by using high content imaging in a bimodal design to isolate activators and inhibitors of the HIF pathway from a [~]1600 natural product library.

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Engineering inducible signaling receptors to enable erythropoietin-free erythropoiesis

Blood transfusion plays a vital role in modern medicine. However, availability is contingent on donated blood, and frequent shortages pose a significant healthcare challenge. Ex vivo manufacturing of red blood cells (RBCs) derived from universal donor O-negative pluripotent stem cells emerges as a solution, yet the high cost of recombinant cytokines required for ex vivo erythroid differentiation remains a major barrier. Erythropoietin (EPO) signaling through the EPO receptor is indispensable to RBC development, and EPO is one of the most expensive components in erythroid-promoting media. Here, we used design-build-test cycles to develop highly optimized small molecule-inducible EPO receptors (iEPORs) which were integrated at a variety of genomic loci using homology-directed repair genome editing. We found that integration of iEPOR at the endogenous EPOR locus in an induced pluripotent stem cell producer line enabled culture with small molecule to yield equivalent erythroid differentiation, transcriptomic changes, and hemoglobin production compared to cells cultured with EPO. Due to the dramatically lower cost of small molecules vs. recombinant cytokines, these efforts eliminate one of the most expensive elements of ex vivo culture media--EPO cytokine. Because dependence on cytokines is a common barrier to ex vivo cell production, these strategies could improve scalable manufacturing of a wide variety of clinically relevant cell types. More broadly, this work showcases how synthetic biology and genome editing may be combined to introduce precisely regulated and tunable behavior into cells, an advancement which will pave the way for increasingly sophisticated cell engineering strategies.

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Combinatorial and Inducible CRISPRa/i Enables Canalized hiPSC Forward Programming and Iterative Refinement via Single-Cell Genomics

Synthetic gene-regulation logic is established in immortalized cell lines but remains largely aspirational in human induced pluripotent stem cells (hiPSCs) and derivatives. This gap constrains both mechanistic discovery and translational engineering in physiologically relevant models. We developed CIRI (Combinatorial Inducible CRISPR in IPSCs), an isogenic, safe-harbor-engineered platform in which tetracycline-responsive single guide RNAs (sgR-NAs) carry modular RNA aptamers that recruit RNA-binding proteins and effector domains. This design enables multimodal regulation from a single catalytically inactive Cas9 (dCas9), exemplified by orthogonal CRISPR activation and interference (CRISPRa/i). After optimizing sgRNA-aptamer architectures, we achieved robust CRISPRa and CRISPRi in hiPSCs and hiPSC-derived cardiac organoids. CIRI rapidly channels hiPSC forward programming into skeletal myocytes by activating MYOD1 while repressing NANOG, POU5F1/OCT4, and SOX2. Combinatorial pooled dual-guide single-cell RNA sequencing screens identify ID3 as a road-block and KDM6B and SMARCD3 as synergistic enhancers of myogenic maturation. Together, CIRI establishes a programmable synthetic biology framework in human stem cell models. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=177 SRC="FIGDIR/small/729073v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@18ce445org.highwire.dtl.DTLVardef@de8d94org.highwire.dtl.DTLVardef@1212763org.highwire.dtl.DTLVardef@1a0d83d_HPS_FORMAT_FIGEXP M_FIG C_FIG

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Yorzoi: Predicting RNA-seq coverage from DNA sequence in yeast

Yeast is one of the principal model organisms in synthetic biology and a widely used chassis for testing heterologous DNA sequences. However, designing DNA constructs correctly is currently limited by our incomplete quantitative understanding of how sequences are transcribed and translated, especially non-native sequences. Here, we present Yorzoi, a sequence-to-expression model for bakers yeast that predicts RNA-seq coverage for a 5 kilobase, multi-gene window of DNA at 10 base pair (bp) resolution. To extend its predictive ability beyond native DNA, Yorzoi has been pretrained on a comprehensive dataset not only including native yeast sequences but also human sequences expressed in yeast and structurally rearranged synthetic yeast chromosomes. We demonstrate that our model has learned general rules of yeast transcription by achieving high predictive performance on various downstream tasks. Yorzoi is a powerful tool for in-silico testing of DNA sequences and directly applicable for sequence design. A web application to use our model is available at yorzoi.eu and the code open source on GitHub.

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Dynamic Multiplexed Control and Modeling of Optogenetic Systems Using the High-Throughput Optogenetic Platform, Lustro

The ability to control cellular processes using optogenetics is inducer-limited, with most optogenetic systems responding to blue light. To address this limitation we leverage an integrated framework combining Lustro, a powerful high-throughput optogenetics platform, and machine learning tools to enable multiplexed control over blue light-sensitive optogenetic systems. Specifically, we identify light induction conditions for sequential activation as well as preferential activation and switching between pairs of light-sensitive spit transcription factors in the budding yeast, Saccharomyces cerevisiae. We use the high-throughput data generated from Lustro to build a Bayesian optimization framework that incorporates data-driven learning, uncertainty quantification, and experimental design to enable the prediction of system behavior and the identification of optimal conditions for multiplexed control. This work lays the foundation for designing more advanced synthetic biological circuits incorporating optogenetics, where multiple circuit components can be controlled using designer light induction programs, with broad implications for biotechnology and bioengineering. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=116 SRC="FIGDIR/small/572411v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@1d560ecorg.highwire.dtl.DTLVardef@1ce5614org.highwire.dtl.DTLVardef@1756e3corg.highwire.dtl.DTLVardef@986683_HPS_FORMAT_FIGEXP M_FIG C_FIG

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Synthetic genetic circuits to uncover and enforce the OCT4 trajectories of successful reprogramming of human fibroblasts

Reprogramming human fibroblasts to induced pluripotent stem cells (iPSCs) is inefficient, with heterogeneity among transcription factor (TF) trajectories driving divergent cell states. Nevertheless, the impact of TF dynamics on reprogramming efficiency remains uncharted. Here, we identify the successful reprogramming trajectories of the core pluripotency TF, OCT4, and design a genetic controller that enforces such trajectories with high precision. By combining a genetic circuit that generates a wide range of OCT4 trajectories with live-cell imaging, we track OCT4 trajectories with clonal resolution and find that a distinct constant OCT4 trajectory is required for colony formation. We then develop a synthetic genetic circuit that yields a tight OCT4 distribution around the identified trajectory and outperforms in terms of reprogramming efficiency other circuits that less accurately regulate OCT4. Our synthetic biology approach is generalizable for identifying and enforcing TF dynamics for cell fate programming applications. One-sentence summaryGenetic controllers and live-cell imaging offer a versatile strategy for probing the role of transcription factor dynamics in cell fate transitions.

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The integration of tandem gene repeats via a bacterial type-II toxin-antitoxin-mediated gene amplification (ToxAmp) system and stability visualisation in Saccharomyces cerevisiae

Tandem gene repeats naturally occur as important genomic features and determine many traits in living organisms, like human diseases and microbial productivities of target bioproducts. Here, we develop a bacterial type-II toxin-antitoxin-mediated method to manipulate genomic integration of tandem gene repeats in Saccharomyces cerevisiae and further visualise the evolutionary trajectories of gene repeats. We designed a tri-vector system to introduce toxin-antitoxin-driven gene amplification (ToxAmp) modules, and accidentally re-visited the high-level capacity of multi-fragment co-transformation in S. cerevisiae. This system delivered the multi-copy gene integration in the form of tandem gene repeats spontaneously and independently from toxin-antitoxin-mediated selection. Inducing the toxin (RelE) expressing via a copper (II)-inducible CUP1 promoter successfully drove the in-situ gene amplification of the antitoxin (RelB) module, resulting in [~]40 copies of a green fluorescence reporter (GFP) gene per copy of genome. The copy-number changes, increasing and decreasing, and stable maintenance were visualised using the GFP and blue chromoprotein AeBlue as reporters. Copy-number increasing happened spontaneously not depending on a selection pressure and was quickly enriched through toxin-antitoxin-mediated selection. In summary, the bacterial toxin-antitoxin systems provide a flexible mechanism to manipulate gene copy number in eukaryotic cells and can be exploited for synthetic biology and metabolic engineering applications. Table of Contents Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=146 SRC="FIGDIR/small/578080v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@75d1f3org.highwire.dtl.DTLVardef@12aafeforg.highwire.dtl.DTLVardef@184a1a5org.highwire.dtl.DTLVardef@90586a_HPS_FORMAT_FIGEXP M_FIG C_FIG

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CRISPR-Cas tools for simultaneous transcription & translation control in bacteria

Robust control over gene translation at arbitrary mRNA targets is an outstanding challenge in microbial synthetic biology. The development of tools that can regulate translation will greatly expand our ability to precisely control genes across the genome. In E. coli, most genes are contained in multi-gene operons, which are subject to polar effects where targeting one gene for repression leads to silencing of both genes. These effects pose a challenge for independently regulating individual genes in multi-gene operons. Here, we use CRISPR-dCas13 to address this challenge. We find that dCas13-mediated repression exhibits up to 6-fold lower polar effects compared to dCas9. We then show that we can selectively activate single genes in a synthetic multi-gene operon by coupling dCas9 transcriptional activation of an operon with dCas13 translational repression of individual genes within the operon. We also show that dCas13 and dCas9 can be multiplexed for improved biosynthesis of a medically-relevant human milk oligosaccharide. Taken together, our findings suggest that combining transcriptional and translational control can access effects that are difficult to achieve with either mode independently. These combined tools for gene regulation will expand our abilities to precisely engineer bacteria for biotechnology and perform systematic genetic screens. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=102 SRC="FIGDIR/small/561958v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@1263909org.highwire.dtl.DTLVardef@6aa156org.highwire.dtl.DTLVardef@863e59org.highwire.dtl.DTLVardef@167496e_HPS_FORMAT_FIGEXP M_FIG C_FIG

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