Biology subjects

Mayonove, P.

Publications and source records attributed to Mayonove, P..

7 recordsLinked to original sources

bioRxiv2025

CF2H: a Cell-Free Two-Hybrid platform for rapid protein binder screening

Protein binders that detect, activate, inhibit or otherwise modulate their targets are pivotal for biomedical applications. With the increasing accuracy and accessibility of de novo protein design, faster and cheaper experimental screening methods would democratize and accelerate the identification of high-affinity binders. Here we present Cell-Free Two-Hybrid (CF2H), a rapid and sensitive method for detecting high-affinity protein-protein interactions (PPI) that does not require cloning, protein purification nor high-end laboratory equipment. CF2H uses a dimerization-activated DNA binding domain (DBD) fused to prey and bait proteins to trigger transcription upon protein-protein interaction. We demonstrate that CF2H enables the detection of interactions between various types of target and binder proteins such as single-domain antibodies, DARPins and de novo designed binders. We benchmark CF2H as a screening platform by validating previously reported binders for Mdm2 and discover high-affinity binders targeting the checkpoint inhibitor PD-L1 in less than 24 hours. Finally, we show that CF2H can be used to characterize small-molecules modulators of PPI and detect protein biomarkers, opening the door for a new class of cell-free biosensors.

synthetic biology↗

bioRxiv2024

Split minireporters facilitate monitoring of gene expression and peptide production in linear cell-free transcription-translation systems

Cell-free transcription-translation (TXTL) systems expressing genes from linear dsDNA enable rapid prototyping of genetic devices while avoiding cloning steps. However, repetitive inclusion of a reporter gene is an incompressible cost and sometimes accounts for most of the synthesized DNA length. Here we present minireporters based on split-GFP systems that reassemble into functional fluorescent proteins and can be used to monitor gene expression in E. coli TXTL. The 135 bp GFP10-11 fragment produces a fluorescent signal comparable to its full-length GFP counterpart when reassembling with its complementary protein synthesized from the 535 bp fragment expressed in TXTL. We show that minireporters can be used to characterize promoter libraries, with data qualitatively comparable to full-length GFP, and matching with in vivo expression measurements. We also use minireporters as small fusion tags to measure TXTL protein and peptide production yield. Finally, we generalize our concept by providing a luminescent minireporter based on split-nanoluciferase. The [~]80% gene sequence length reduction afforded by minireporters lowers synthesis costs and liberates space for testing larger devices while producing a reliable output. In the peptide production context, the small size of minireporters compared to full-length GFP is less likely to bias peptide solubility assays. We anticipate that minireporters will facilitate rapid and cost-efficient genetic device prototyping, protein production, and interaction assays.

synthetic biology↗

bioRxiv2022

An Optimized Electrotransformation Protocol For Lactobacillus Jensenii.

Engineered bacteria are promising candidates for in situ detection and treatment of diseases. The female uro-genital tract presents several pathologies, such as sexually transmitted diseases or genital cancer, that could benefit from such technology. While bacteria from the gut microbiome are increasingly engineered, the use of chassis isolated from the female uro-genital resident flora has been limited. A major hurdle to implement the experimental throughput required for efficient engineering in these non-model bacteria is their low transformability. Here we report an optimized electrotransformation protocol for Lactobacillus jensenii, one the most widespread species across vaginal microflora. Starting from classical conditions, we optimized buffers, electric field parameters, cuvette type and DNA quantity to achieve an 80-fold improvement in transformation efficiency, with up to 3.5{middle dot}103 CFUs/{micro}g of DNA in L. jensenii ATCC 25258. We also identify several plasmids that are maintained and support reporter gene expression in L. jensenii. Finally, we demonstrate that our protocol provides increased transformability in three independent clinical isolates of L. jensenii. This work will facilitate the genetic engineering of L. jensenii and enable its use for addressing challenges in gynecological healthcare.

microbiology↗

bioRxiv2022

Rapid prototyping of metabolites detection by bacterial biosensors in human fecal samples.

Gut metabolites are pivotal mediators of host-microbiome interactions and provide an important window on human physiology and disease. However, current methods to monitor gut metabolites rely on heavy and expensive technologies such as liquid chromatography-mass spectrometry (LCMS). In that context, robust, fast, field-deployable, and cost-effective strategies for monitoring fecal metabolites would support large-scale functional studies and routine monitoring of metabolites biomarkers associated with pathological conditions. Living cells are an attractive option to engineer biosensors due to their ability to detect and process many environmental signals and their self-replicating nature. Here we optimized a protocol for feces processing and gut metabolites detection using bacterial biosensors (bactosensors), enabling rapid evaluation of their operational capacity in these samples. We show that a simple filtration step is enough to remove host microbes and reproducibly obtain a physiological-derived media retaining important characteristics of human feces, such as matrix effects and endogenous metabolites. We measured how fecal samples affect the performance of biosensors for benzoate, lactate, anhydrotetracycline, and bile acids, and found that bactosensors are highly sensitive to fecal matrices. Sensitivity to the matrix is biosensor-dependent but also varies between individuals, highlighting the need for case-by-case optimization for bactosensors operation in feces. Finally, by detecting endogenous bile acids, we demonstrate that bactosensor can be used for metabolites monitoring in feces. This work lays the foundation for the optimization and use of bacterial biosensors for fecal metabolites monitoring. In the future, our method could also allow rapid pre-prototyping of engineered bacteria designed to operate in the gut, with applications to in situ diagnostics and therapeutics.

synthetic biology↗

bioRxiv2019

Rational programming of history-dependent logic in cellular populations.

Genetic programs operating in an history-dependent fashion are ubiquitous in nature and govern sophisticated processes such as development and differentiation. The ability to systematically and predictably encode such programs would advance the engineering of synthetic organisms and ecosystems with rich signal processing abilities. Here we implement robust, scalable history-dependent programs by distributing the computational labor across a cellular population. Our design is based on recombinase-driven DNA scaffolds expressing different genes according to the order of occurrence of inputs. These multicellular computing systems are highly modular and any program can be built by differential composition of strains containing well-characterized logic scaffolds. We developed an automated workflow that researchers can use to streamline program design and optimization. We anticipate that the history-dependent programs presented here will support many applications using cellular populations for material engineering, biomanufacturing and healthcare.\n\nOne Sentence SummarySystematic and automated frameworks for implementing robust history-dependent genetic programs in cellular populations.

synthetic biology↗

bioRxiv2018

Hierarchical composition of reliable recombinase logic devices.

We provide a systematic framework for engineering reliable recombinase logic devices by hierarchical composition of well-characterized, optimized recombinase switches. We apply this framework to build a recombinase logic device family supporting up to 4-input Boolean logic. This work will support the predictable engineering of several classes of recombinase devices to reliably control cellular behavior.

synthetic biology↗

bioRxiv2017

Scalable composition frameworks for multicellular logic

A major goal of synthetic biology is to reprogram living organisms to solve pressing challenges in manufacturing, environmental remediation, or healthcare. While many types of genetic logic gates have been engineered, their scalability remains limited. Previous work demonstrated that Distributed Multicellular Computation (DMC) enables the implementation of complex logic within cellular consortia. However, current DMC systems require spatial separation of cellular subpopulation to be scalable to N-inputs, and need cell-cell communication channels to operate. Here we present scalable composition frameworks for the systematic design of multicellular consortia performing recombinase-based Boolean or history-dependent logic, and integrating an arbitrary number of inputs. The theoretical designs for both Boolean and history-dependent logic are based on reduced sets of computational modules implemented into specific cellular subpopulations which can then be combined in various manners to implement all logic functions. Our systems mark a departure from previous DMC architectures as they do not require either cell-cell communication nor spatial separation, greatly facilitating their implementation and making them fully autonomous. Due to their scalability and composability, we anticipate that the design strategies presented here will help researchers and engineers to reprogram cellular behavior for various applications in a streamlined manner. We provide an online tool for automated design of DNA architectures allowing the implementation of multicellular N-inputs logic functions at: http://synbio.cbs.cnrs.fr/calin.

synthetic biology↗