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Single-cell mapping of regulatory DNA-protein interactions | CEL

Single-cell mapping of regulatory DNA-protein interactions | CEL | RMH | Scoop.it

Gene expression is controlled by transcription factors (TFs), whose genome binding is shaped by chromatin accessibility and histone modifications, yet mapping these interactions, particularly those with weak affinity or a transient nature, in single cells remains technically challenging. To address this gap, we developed docking and deamination followed by sequencing (D&D-seq), a single-cell immuno-tethering technology for profiling DNA-protein interactions. D&D-seq couples an antibody-binding nanobody to a cytosine base editor, a combination that enables detection of weak or transient factor binding through targeted cytosine-to-uracil editing at protein-bound genomic sites. This approach is compatible with standard single-cell multi-omic workflows and therefore allows integrated analyses of gene regulation. Using assay for transposase-accessible chromatin using sequencing (ATAC-seq) and single-cell ATAC-seq (scATAC-seq), we assessed chromatin accessibility as a functional readout of TF activity, and by coupling D&D-seq with whole-genome sequencing, we captured CTCF binding in both active and inactive chromatin compartments.

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deaminase tfs, 2st, tool

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Phage therapy via receptor-constrained evolutionary traps | tin

Phage therapy via receptor-constrained evolutionary traps | tin | RMH | Scoop.it
Phage therapy often fails when bacteria evolve resistance. We argue that phage selection should begin with receptors whose modification imposes predictable costs, turning resistance into reduced virulence, antibiotic resensitization, or other exploitable trade-offs. Receptor-constrained evolutionary traps offer a framework for designing phages that steer—not merely suppress—bacterial evolution effectively.
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Leveraging the bacteria for enhanced cancer immunotherapy: from a perspective of synthetic biology

In recent years, synthetic biology has been widely applied to engineer and program cellular behaviors. Using this approach, bacteria can be designed to express immunotherapeutic agents, improve tumor targeting, and deliver therapeutic payloads directly to tumor sites. To further improve efficacy, strategies such as hypoxia-responsive promoters, bacterial swarming, and extracellular vesicles (EVs) have been investigated, along with the synergistic effects of combining bacterial therapy with other treatments (e.g., photodynamic therapy, chemotherapy, immune checkpoint inhibitors). This review summarizes recent advances in synthetic biology for bacteria-based cancer immunotherapies, focusing on how bacterial agents activate the immune system and the engineering strategies used to achieve tumor targeting.

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Discovering what is possible: How synthetic biology illuminates development | csys

Discovering what is possible: How synthetic biology illuminates development | csys | RMH | Scoop.it
Developmental biology seeks to understand how multicellular organization emerges from cell-cell interactions. Advances in stem cell and synthetic biology now enable researchers to rebuild developmental processes outside the embryo, with varying degrees of resemblance to natural systems. While some reconstituted systems reveal how development occurs, others uncover what is possible. This perspective examines how such bottom-up approaches have elucidated general principles and causal mechanisms of multicellular organization. We argue that synthetic systems, though simplified, provide powerful platforms to test the limits of developmental potential, disentangle causal relationships, and inform predictive models. With rapid advances in genomic engineering, imaging, and computational modeling, leveraging these engineered systems to discover what is possible holds transformative promise for understanding what is happening in nature.
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1str, multicellularity, adhesion

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Optimizing microhomology-based genome editing by engineering DNA polymerase θ for improved efficiency and reduced on-target indels | crm

Optimizing microhomology-based genome editing by engineering DNA polymerase θ for improved efficiency and reduced on-target indels | crm | RMH | Scoop.it
Precise genome editing through targeted DNA insertion is critical for gene therapy and biomedical research. While existing methods rely on homology-directed repair (HDR), this process suffers from low efficiency in non-dividing cells. Microhomology-mediated repair provides an alternative but remains intrinsically inefficient. Here, we developed a DNA polymerase θ (Pol θ)-based editor (PET) to enhance kilobase-scale targeted DNA integration across diverse genomic loci and cell types. We demonstrate that polymerase domain (pPET) and helicase-like domain (hPET) independently improve microhomology-mediated editing, with pPET achieving a 3-fold increase in knock-in rates over conventional SpCas9-mediated editing. Next-generation sequencing reveals that pPET and hPET reduce on-target indel rates by ∼30%, while increasing precise insertions by up to 80%. Compared with other Pol θ domain configurations and MMEJ-enhancing factors, pPET exhibits superior performance. These findings establish Pol θ functional domains as effective tools for improving microhomology-driven genome editing and advancing therapeutic applications.
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genome editing

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Host-guided microbiome-metabolite interactions enable cross-kingdom SynComs for disease suppression | Mbm

Host-guided microbiome-metabolite interactions enable cross-kingdom SynComs for disease suppression | Mbm | RMH | Scoop.it

The plant microbiome plays a crucial role in enhancing disease resistance, yet microbiome-based plant protection strategies remain limited by an incomplete understanding of how host selection, microbial interactions, and rhizosphere chemistry jointly shape pathogen suppression. Here, we adopt a “learning from nature” approach to design synthetic microbial communities (SynComs) that recapitulate naturally evolved disease-suppressive interactions, using banana Fusarium wilt as a model system. High-throughput profiling revealed that both bacterial and fungal communities contribute to varietal resistance. Resistance-associated microbial taxa were identified and isolated to assemble bacterial, fungal, and cross-kingdom SynComs representative of resistant versus susceptible hosts. SynComs derived from resistant varieties suppressed pathogen growth more effectively than those from susceptible hosts, with cross-kingdom SynComs exhibiting the strongest effects. Cross-kingdom SynCom inoculation significantly reduced disease severity and restructured both the composition and functional potential of the rhizosphere microbiome. Integrative transcriptomic and metabolomic analyses revealed coordinated host metabolic reprogramming, characterized by increased accumulation of diverse metabolites, including alkaloids, amino acids, and flavonoids. Notably, supplementation with resistance-associated rhizosphere metabolites, such as stearic acid and shikimic acid, further enhanced disease suppression. Together, our findings establish a mechanistic framework in which host-guided microbiome assembly and metabolite-mediated interactions jointly enable effective cross-kingdom SynComs for disease suppression, providing ecological principles for microbiome-based plant protection strategies.

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Development of a multifunctional nucleic acid response platform utilizing the Cas12a and Cas13a integrated targeting system | nar

Development of a multifunctional nucleic acid response platform utilizing the Cas12a and Cas13a integrated targeting system | nar | RMH | Scoop.it

Since its discovery, the CRISPR-Cas system has ushered in a transformative era in biodetection, leveraging its simplicity and efficiency to enable Cas protein-based signaling systems for applications in early tumor screening, viral detection, and molecular logic circuits. However, the constrained compatibility of CRISPR/Cas-based signaling systems with diverse input types limits their versatility, primarily due to the restricted activation mechanisms of the Cas protein. Herein, we developed the Cas12a and Cas13a Integrated Targeting (CACIT) system, which harnesses DNA/RNA strand displacement reactions to integrate the enzymatic capabilities of Cas12a and Cas13a. This system supports simultaneous DNA and RNA inputs, offering exceptional programmability and cost-effectiveness. By employing strand displacement reactions, the CACIT system achieves synchronized activation of Cas12a and Cas13a. We have demonstrated that the CACIT system excels in single-nucleotide-variant (SNV) detection, viral RNA detection, machine learning-driven nucleic acid concentration response modeling, logic operations, and intracellular imaging. As a streamlined and versatile signaling platform, the CACIT system expands the scope of CRISPR/Cas activation strategies. With its inherent simplicity and compatibility, this system facilitates integration with diverse nanodevices. Further, this system provides a highly programmable, multifunctional computational module for molecular networks, heralding new possibilities for artificial signaling systems.

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ATP is dispensable for E. coli DNA replication and eukaryotic helicase activity | Ncm

ATP is dispensable for E. coli DNA replication and eukaryotic helicase activity | Ncm | RMH | Scoop.it

Adenosine triphosphate (ATP) hydrolysis is the main cellular source of energy used to drive biochemical reactions that are otherwise energetically unfavorable. The chemical energy stored in phosphoanhydride bonds is released upon hydrolysis of ATP to ADP and is used to drive mechanical work and conformational change. DNA replication is a canonical process in which the multi-enzyme replisome is thought to rely on ATP hydrolysis for its function. Here we show, through single-molecule visualization of DNA replication by the E. coli replisome, that the replicative DnaB helicase does not rely on hydrolysis of ATP in the context of the elongating replisome. Even in the presence of physiologically-relevant concentrations of ATP, dTTP is hydrolysed preferably. Finally, we show that the replicative helicases from S. cerevisiae, D. melanogaster, and Homo sapiens can also use dTTP to unwind DNA. Our observations suggest that replicative helicases across domains of life are ‘flex-fuel’ helicases. Here the authors show that replicative helicases from bacteria to humans can use dTTP instead of ATP for DNA unwinding, and that the E. coli replisome preferentially uses dTTP during DNA replication, challenging textbook models of replication energetics.

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Enzymatic quorum quenching alters the phyllosphere microbiome and suppresses a bacterial-induced plant disease | Srep

Enzymatic quorum quenching alters the phyllosphere microbiome and suppresses a bacterial-induced plant disease | Srep | RMH | Scoop.it

Bacterial plant pathogens cause hundreds of millions of dollars in annual crop losses in the United States alone, further stressing an already strained global food supply. Numerous bacteria in the phyllosphere use N-acyl homoserine lactone (AHL)-mediated quorum sensing (QS) systems to coordinate behaviors and shape microbial communities. Strategies that interfere with bacterial QS systems employ enzymes to degrade or transform AHLs in a process called quorum quenching (QQ). This interference results in altered microbial community structure and function. We previously isolated and engineered SsoPox, a highly stable AHL-degrading lactonase that interferes with QS. Here, we evaluated the effects of SsoPox-mediated QS disruption on the Zea mays phyllosphere in a Goss’s wilt infection model caused by Clavibacter nebraskensis. In this proof-of-concept work, we found that infection significantly altered the composition and structure of the leaf microbial community. SsoPox QQ lactonase treatment substantially reduced this shift, resulting in a leaf surface community resembling the uninfected controls. qPCR experiments revealed a small, yet significant reduction of pathogen abundance on plant leaves following enzymatic treatment. As a result, the formulated QQ lactonase spray reduced disease severity. This study demonstrates the critical role of microbial signaling in the phyllosphere and highlights the potential of QQ lactonases to control plant diseases.

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Dual-Chassis Strategy for Bridging Adaptive Evolution and Rational Design for Synthetic Biology | brve

Dual-Chassis Strategy for Bridging Adaptive Evolution and Rational Design for Synthetic Biology | brve | RMH | Scoop.it

Genome streamlining and pathway refactoring are powerful strategies for constructing controllable microbial chassis for both fundamental studies and applications. While rational design benefits from reduced genetic complexity, adaptive laboratory evolution (ALE) thrives on metabolic redundancy, creating a mismatch between optimal hosts for design and evolution. Here, we introduce a dual chassis framework (DUET) in which rational pathway construction and adaptive evolution are first carried out in an evolution‑competent host, and the resulting optimized designs are subsequently transferred into a genetically stable chassis for deployment. Using the naturally evolvable bacterium Acinetobacter baylyi ADP1 and its genome-stabilized derivative (ISx), we applied this framework to the β-ketoadipate pathway, a central hub for aromatic compound catabolism. We first streamlined the native network by deleting individual pathway branches and then engineered a minimal synthetic route that merges protocatechuate and catechol metabolism. Subsequent ALE enabled efficient growth through this synthetic pathway, and reverse-engineering identified key adaptive mutations underlying functional recovery. Both the synthetic pathway and the mutations were transferred unchanged into ISx, where robust growth was maintained without further adaptation. These results demonstrate that DUET enables portable, host-independent deployment of rational metabolic streamlining combined with evolution, providing a generalizable strategy for building reduced yet robust microbial platforms.

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barrick je

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ArchaeaHQ: A Curated Reference Database of Archaeal Genomes | brvbi

Archaea have proven to be major players in biogeochemical cycles across diverse ecosystems, yet we still see an underrepresentation of archaeal genomes in the datasets used by popular computational biology tools. Here we present ArchaeaHQ, a quality-controlled, systematically curated reference database of 21,644 archaeal genomes compiled initially from 35,993 assemblies from all four archaeal kingdoms retrieved from NCBI: Methanobacteriati (Euryarchaeota), Thermoproteati (TACK), Nanobdellati (DPANN), and Promethearchaeati (Asgard). All genomes in the database passed standardized quality control, requiring ≥70% completeness and ≤10% contamination. A total of 44.2% of genomes in ArchaeaHQ achieved ≥90% completeness, while 93.1% exhibited ≤5% contamination. ArchaeaHQ comprises 16,199 metagenome-assembled genomes (MAGs; 74.8%) and 5,445 isolate genomes (25.2%). Approximately 75% of MAGs are assigned to 17 ecologically meaningful categories based on sampling origin, and around 65% of genomes include geographic metadata. ArchaeaHQ is available at https://doi.org/10.6084/m9.figshare.32266599 and provides an analysis-ready reference set for metagenomic classification, biogeochemical and ecological studies, comparative genomics, and development of archaeal-specific bioinformatic tools.

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Engineering a Novel Bacterial Encapsulin for Programmable Surface Functionalization: From Single-Target to Mosaic Nanovaccines | brvbe

Engineering a Novel Bacterial Encapsulin for Programmable Surface Functionalization: From Single-Target to Mosaic Nanovaccines | brvbe | RMH | Scoop.it

Encapsulins are prokaryotic self–assembling protein nanocages with promise as nanovaccine scaffolds. Their utility as modular platforms require tolerance to surface engineering, high-yield soluble production, formulation stability, and controlled antigen (co–)display. Herein, a previously uncharacterized encapsulin from Alkaliphilus metalliredigens is engineered into a SpyCatcher–decorated nanoscaffold (Am–S) that enables controlled surface display of SpyTagged antigens. Cryo-EM confirms that the native encapsulin forms a T = 1 icosahedral nanocage, and that C-terminal SpyCatcher fusion yields Am–S without compromising nanocage assembly, symmetry, or structural integrity. Notably, Am–S exhibits high-yield soluble production in Escherichia coli, remains monodisperse after freeze–thaw and extended storage, and supports efficient SpyTagged peptide conjugation for single– and multi–antigen display. As a proof–of–concept, Am-S is functionalized with Alzheimers disease-associated beta–amyloid and/or hyperphosphorylated tau epitopes to generate single–target nanocages displaying either antigen and dual–target mosaic nanocages co–displaying both. In mice, Am–S antigen display enhances antigen–specific IgG responses relative to free antigens and induces predominantly IgG1–biased humoral immunity. Mosaic nanocages elicit antibodies against both targets, with immune sera selectively recognizing amyloid–beta and phosphorylated tau-associated pathology in ex vivo brain sections from Alzheimers disease mouse models. These findings position Am–S as a manufacturable scaffold for developing multi–targeting nanovaccines against complex diseases.

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Characterizing Sequence-Function Relationships in Chimeric DcuS/EnvZ Histidine Kinases at Scale | brvbe

Characterizing Sequence-Function Relationships in Chimeric DcuS/EnvZ Histidine Kinases at Scale | brvbe | RMH | Scoop.it

While bacterial sensor histidine kinases (SHKs) are widespread as natural molecular biosensors, tools for high-throughput characterization of SHK signaling phenotypes are limited, hindering wide scale implementation of bacterial-based sensing. Here, we developed a synthetic two-component signaling system that reports chimeric SHK signaling via a standardized fluorescence readout. With this synthetic system, we screened a library of chimeric DcuS/EnvZ SHKs to characterize sequence-function relationships within in the DcuS sensory and transmembrane domains. We quantified the effects of 1,173 mutations on signaling outputs in the presence of fumarate, a native DcuS ligand, as well as aspartate for which DcuS has minimal affinity for. We identified eleven positions across the DcuS domains which significantly alter aspartate responsiveness and selectivity and further observed a role for cytoplasmic N-terminal residues in determining signaling outputs. In future studies, this framework will expedite design of biosensors for novel ligands by enabling high-throughput screening of mutagenized libraries of natural SHKs.

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tcs sensor

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Emergent bioengineering | cin

Emergent bioengineering | cin | RMH | Scoop.it
The biosphere is undergoing an unprecedented transformation driven by global warming, habitat loss, and resource depletion, threatening biodiversity through widespread species extinctions and population declines. Although conservation and restoration remain essential, the risk of irreversible tipping points demands new strategies. Synthetic biology offers one such approach: engineering existing ecosystems by modifying functional traits of resident communities to enhance resilience and prevent abrupt shifts. Despite and because of public concern, advances in biosafety and control have been achieved, mainly on a cellular scale. However, after decades of bioremediation efforts, a central question emerges: not only can interventions be perfectly controlled, but also whether they can persist and sustain ecological function. Meeting this challenge requires a paradigm shift in design philosophy, from classical to emergent engineering, embracing adaptation, feedback, and multiscale complexity as the foundation of ecosystem design.
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sole r

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The antiphage mechanism of a widespread trypsin–MBL defense module | Ncb

The antiphage mechanism of a widespread trypsin–MBL defense module | Ncb | RMH | Scoop.it

Protease-mediated activation of immune effectors is an evolutionarily conserved mechanism. This study identifies a widespread trypsin–MBL (metallo-β-lactamase) module as a core effector in diverse antiviral bacterial immune systems, such as Hachiman, AVAST and Argonaute. Focusing on the Hachiman-associated trypsin–MBL system, we show that trypsin•HamAB protease activity is inhibited by ATP, while MBL is an autoinhibited DNase with two insertion loops obstructing its catalytic site. Upon infection, trypsin•HamAB senses foreign DNA and hydrolyzes ATP, activating trypsin-like activity, which specifically cleaves MBL at the insertion loops to release repression. The activated MBL depletes DNA and arrests host cell growth. Cryo-electron microscopy structures of trypsin•HamAB–DNA reveal that DNA binding and ATP hydrolysis trigger HamAB oligomerization and trypsin-like domain release, enabling its activation. Our work elucidates a conserved immune mechanism wherein proteolytic activation of a nuclease enables robust immunity against phage while multilayered controls prevent self-toxicity, expanding the repertoire of immune processes governed by regulatory proteolysis. This study identifies and characterizes a conserved trypsin–MBL (metallo-β-lactamase) pair in bacterial immunity; upon infection, trypsin is activated through inhibitory ATP hydrolysis, subsequently activating MBL through site-specific proteolysis, which depletes DNA and restricts cell growth.

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antiphage

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Ecological acclimation of microbial communities to rising temperatures: growth, respiration, and interactions | aem

Ecological acclimation of microbial communities to rising temperatures: growth, respiration, and interactions | aem | RMH | Scoop.it
Temperature is a fundamental regulator of microbial physiology, shaping processes from growth and respiration to community interactions and ecosystem functioning. This review synthesizes recent experimental and theoretical advances that reveal how microbes respond to warming across biological scales, with a focus on short-term ecological acclimations of microbial communities. At the cellular level, rising temperature affects enzyme kinetics, membrane fluidity, and metabolic efficiency, often in non-linear ways that challenge the validity of fixed Q10-based models. At the community level, warming tends to favor thermotolerant and slow-growing taxa, while reconfiguring microbial interaction networks by shifting balances between competition, cooperation, and syntrophy. These structural changes can reduce functional redundancy and stability, yet prolonged warming may also foster the emergence of cohesive, resilient community architectures. Overall, we emphasize the need for integrative mechanistic frameworks that link thermal physiology, carbon-use efficiency, and microbial interactions to improve predictions of microbial contributions to carbon cycling under climate change.
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Adapting prime editing with split prime editors in Escherichia coli and its application to Staphylococcus aureus genome editing | Amb

Prime editing is a precise and rapid genome-editing technique that modifies short DNA sequences using tailored guide RNAs. To implement this technique in bacteria, we used Prime Editor 2 (PE2) with the DeepPrime gRNA design tool and assessed its gene-editing efficiency in E. coli and methicillin-resistant Staphylococcus aureus (MRSA) cells. Our findings indicate that a split PE2, comprising a reverse transcriptase and two Cas9 nickase domains, exhibited gene-editing efficiency comparable to that of the intact PE2. The efficiency observed in E. coli was significantly affected by the target sites, edit type, and the presence of exonucleases. In MRSA, which serves as a model to evaluate the applicability in non-model bacterial species, Streptococcus pyogenes PE2 (SpPE2) exhibited superior performance relative to Staphylococcus aureus PE2 (SaPE2). Furthermore, the split SpPE2 lacking the reverse transcriptase successfully induced the intended mutation in MRSA. This study demonstrates the feasibility of prime editing within bacterial systems.

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Single-cell mapping of regulatory DNA-protein interactions | CEL

Single-cell mapping of regulatory DNA-protein interactions | CEL | RMH | Scoop.it

Gene expression is controlled by transcription factors (TFs), whose genome binding is shaped by chromatin accessibility and histone modifications, yet mapping these interactions, particularly those with weak affinity or a transient nature, in single cells remains technically challenging. To address this gap, we developed docking and deamination followed by sequencing (D&D-seq), a single-cell immuno-tethering technology for profiling DNA-protein interactions. D&D-seq couples an antibody-binding nanobody to a cytosine base editor, a combination that enables detection of weak or transient factor binding through targeted cytosine-to-uracil editing at protein-bound genomic sites. This approach is compatible with standard single-cell multi-omic workflows and therefore allows integrated analyses of gene regulation. Using assay for transposase-accessible chromatin using sequencing (ATAC-seq) and single-cell ATAC-seq (scATAC-seq), we assessed chromatin accessibility as a functional readout of TF activity, and by coupling D&D-seq with whole-genome sequencing, we captured CTCF binding in both active and inactive chromatin compartments.

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deaminase tfs, 2st, tool

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Molecular Engineering Mediated Interfacial Assembly as an Artificial Extracellular Matrix Remolds Bacteria With Enhanced Abiotic Resilience | advS

Molecular Engineering Mediated Interfacial Assembly as an Artificial Extracellular Matrix Remolds Bacteria With Enhanced Abiotic Resilience | advS | RMH | Scoop.it

Microbial inoculants are central to sustainable agriculture; however, the vulnerability of bacterial cells to desiccation represents a fundamental barrier to their effective use in open-environment applications. While nature employs extracellular polymeric substances for protection, synthetic replication of this multifunctional, nanoscale interface remains a challenge. Here, we report a biomimetic strategy to assemble an artificial extracellular matrix (AEM) directly on the surface of Pseudomonas fluorescens, conferring exceptional abiotic resilience. Inspired by amyloid-protein architecture in natural biofilms, we engineered an interfacial coating via the conformational transition of lysozyme into a β-sheet-rich, adhesive scaffold, which electrostatically co-assembles with alginate polysaccharides at the cell envelope. This conformal nanocoating provides dual-mode protection: it acts as a viscoelastic hydration buffer that prevents membrane rupture, and it elicits a transcriptional response that upregulates genes associated with respiration, osmoprotection, and proteostasis. Optimized at a 1:1 protein-to-polysaccharide ratio, the AEM enhances bacterial survival after desiccation by 30.9-fold. Furthermore, it enables robust seed adhesion and storage stability, translating into effective biocontrol against Fusarium pathogens in a model agricultural system. This work establishes a versatile strategy for programming cellular interfaces, bridging materials design and microbial functionality to engineer resilient living systems for real-world deployment.

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encapsulation, coating, EPS, which combines amyloid-like proteins with polysaccharides to form a protective, hydrated interface. We selected hen egg-white lysozyme as the protein component and sodium alginate as the polysaccharide. Inspired by the amyloid-like conformation of proteins in EPS, we hypothesized that converting globular lysozyme into an amyloid-like state would enhance its adhesive properties. As supported by previous studies, breaking the native disulfide bonds of lysozyme induces a conformational transition from a compact, α-helix-rich fold to an extended, β-sheet-rich state that exhibits amyloid-like characteristics

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Modular Input–Output Biosensor Design Using De NovoProtein Switches | acs

Modular Input–Output Biosensor Design Using De NovoProtein Switches | acs | RMH | Scoop.it

Protein-based biosensors offer unique advantages over conventional analytical methods by enabling real-time detection of target analytes with minimal sample preparation. However, efficiently coupling molecular recognition to a reliable output signal remains a key challenge in biosensor design. Here, we present a plug-and-play strategy using the de novo switch platform, LOCKR, which enables direct transduction of a binding event into a defined signal output. The LOCKR architecture supports modular reconfiguration: the recognition domain can be swapped to detect a desired analyte, while the reporter module can be interchanged to tune the output format. We expand the range of LOCKR-compatible readouts beyond split luciferase to include ratiometric Förster-type resonance energy transfer and β-lactamase-based colorimetry. By integrating computationally designed high-affinity binders as interchangeable recognition elements, we demonstrate sensitive detection of glucagon, neuropeptide Y, and peptide YY with limits of detection in the picomolar range. Together with the expanding landscape of de novo designed binders and reporters, the LOCKR platform bridges the gap between molecular recognition and signal generation, enabling versatile biosensor development tailored for user-defined applications.

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sensor design, 1str, Baker lab computationally designed the LOCKR (Latching Orthogonal Cage–Key pRotein) protein switch system. to build biosensors for in vitro diagnostics, we used a split luciferase complementation system within the LOCKR architecture, enabling the detection of antibodies, viral proteins, protein complex subunits, and antibodies. 

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Co-enrichment of proteins in extracellular vesicles | Ncm

Co-enrichment of proteins in extracellular vesicles | Ncm | RMH | Scoop.it

Extracellular vesicles are cell-derived secretions that mediate tissue homeostasis and intercellular communication through their diverse cargos, including proteins. Distinct extracellular vesicle biogenesis pathways suggest specific association and co-enrichment of proteins sharing a biogenesis pathway, and non-association and co-depletion of proteins segregated into distinct pathways. Yet these associations elude conventional protein expression or co-expression measurements. Here, we propose and define pairwise protein co-enrichment relative to its overall expression to quantify whether a given protein is co-enriched or co-depleted with another protein. We measure co-enrichment, and differential co-enrichment between a stimulus and a reference condition, of up to 240 protein pairs in extracellular vesicles using antibody microarrays. We validate co-enrichment by modulating well-known extracellular vesicle biogenesis pathways, and find that differential co-enrichment measures expected changes between perturbed and reference conditions. Co-enrichment and differential co-enrichment in three model cell lines and parental and organotropic breast cancer progeny cell lines reveal both preserved and variable co-enrichment that may warrant further studies. Collectively, our result suggest that co-enrichment reflects cell physiology and extracellular biogenesis, is readily measurable, and could serve as quality control in extracellular vesicle biomanufacturing. Distinct extracellular vesicle biogenesis pathways suggest specific co-enrichment of proteins sharing a biogenesis pathway. Here, the authors design an approach to examine this co-enrichment and show that it reflects vesicle biogenesis.

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Day–night shifts in microbial activity affecting arsenic and iron in the rice rhizosphere | Ngeo

Day–night shifts in microbial activity affecting arsenic and iron in the rice rhizosphere | Ngeo | RMH | Scoop.it

Arsenic (As), a toxic element widespread in paddy soils worldwide, is mobilized by microbial processes, posing risks to environmental quality, food safety and human health. The rice rhizosphere is a dynamic environment with day–night cycles in chemical conditions and microbial activity. However, how arsenic itself changes over these daily cycles remains unexplored. Here we conduct metatranscriptomic and biogeochemical analyses in a greenhouse study to investigate the diurnal rhythms of As dynamics in the rice rhizosphere. We observed consistent diel fluctuations in arsenite (As(III)) concentrations, increasing from 1.8 to 2.9 mg l‒1 at night, alongside a 24.9% rise in ferrous iron (Fe(II)). Redox potential decreased to ~100 mV at night, promoting As/Fe reduction. Transcriptional activity of key functional genera involved in dissimilatory As/Fe reduction (for example, Geomobilimonas and Geobacter) increased at night, reflected in higher transcript abundances of reduction genes (arrA, omcS, omcZ and mtrC), without corresponding changes in relative abundance. These patterns were confirmed in a field study. Under constant darkness, these diel patterns disappeared. Together, these findings suggest managing rice cultivation to align with natural daily cycles may reduce contamination risks and optimize nutrient management. Diurnal cycles in microbial reducer activity reveal synchronized mobilization of arsenic and iron in the rice rhizosphere, as shown by metatranscriptomic and biogeochemical analyses.

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2st, At night when oxygen flux stops, Eh drops to ~100 mV and arrA, omcS, omcZ, and mtrC transcription increases. when light was removed entirely As(III) and Fe(II) stayed elevated continuously. 

when Geobacter and related taxa reduce Fe(III) to Fe(II), the mineral structure dissolves and releases the As(V) that was bound to it. Fe(II) and As(III) concentrations are positively correlated. As(V) is released into porewater it becomes available for respiratory reduction to As(III) via arrA-encoding bacteria to convert it to soluble As(III)  

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CRISPRi-assisted E. coli strains increase success rate of burdensome construct cloning | brvt

CRISPRi-assisted E. coli strains increase success rate of burdensome construct cloning | brvt | RMH | Scoop.it

Genetic constructs meant for metabolic engineering in nonmodel microbes often use similar genetic parts to those familiar to E. coli work. The typical workflow is to clone these parts into plasmids in E. coli before they are transferred to the nonmodel host or its genome. In many cases, the metabolic burden of these constructs is stronger in the E. coli cloning phase of the workflow than in the eventual host, possibly resulting in mutation or other failure during cloning. Here, we apply generic knockdown of a range of popular expression systems, using CRISPR interference, by targeting guide RNAs to either promoters or RBSs that are commonly used in metabolic engineering. Generic targeting of a constitutive promoter series, combined with genome integration of CRISPR components, allows the use of only one or a few specific cloning strains to achieve strong knockdown of a wide range of constructs. Further, we present a recombinase-based workflow for easily adding guide RNAs with custom targets, so that users can knock down any desired promoter or ORF. Together, this group of strains comprises easy-to-use cloning strains meant for increasing success rates of difficult or burdensome cloning reactions, ultimately allowing more ambitious genetic constructs to reach their intended context.

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Extended sequence context shapes mutational bias in Escherichia coli | pnas

Extended sequence context shapes mutational bias in Escherichia coli | pnas | RMH | Scoop.it
Understanding how sequence context influences the likelihood of mutation at a given genomic locus is critical for deciphering evolutionary processes. It is well established that the immediately adjacent bases influence mutation rates, but the role of more distal bases remains poorly understood. Here, we analyze over 100,000 mutations from 32 E. coli mutation accumulation experiments, encompassing strains with varying DNA proofreading and mismatch repair capabilities. By quantifying the frequency of each nucleotide up to 6 bp around mutation sites, we reveal complex mutational biases that extend beyond the immediately adjacent bases and are unique to each type of base pair substitution. Furthermore, which sequence contexts contribute most to mutational bias depends on what repair mechanisms are active and which strand serves as the leading versus lagging template during replication. Mononucleotide runs are prominent mutational hotspots–we systematically characterize which types of runs are the most mutagenic, including a previously undescribed hotspot for G:C→C:G transversions that can increase their frequency by up to four orders of magnitude. Remarkably, extending our analysis to 1,000 bp from mutation sites reveals that sequence context can influence mutational bias over unexpectedly long distances. These findings expose the intricate interactions between extended sequence context and DNA repair systems that shape spontaneous mutagenesis, and shed light on the mechanistic origins and evolutionary consequences of mutational signatures.
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Generating E. coli 0.5 controlled by a half-sized genome | brvsb

Generating E. coli 0.5 controlled by a half-sized genome | brvsb | RMH | Scoop.it

Genome synthesis is a major limitation in generative biology. Here, the half-sized genome of E. coli was constructed by fleshing out an imperfect minimal genome through genome-scale debugging process. Our platform consists of integrated development environment (IDE) and runtime environment (RTE). The genome IDE supported the cell-free assembly of 200-300 kb plasmids and their in vivo fusion into a single 1.7 Mb plasmid. This imperfect genome was stably maintained in E. coli as a guest genome. The RTE relies on the restriction enzyme-mediated self-digestion of the host genome in the presence and absence of the RecA recombinase. The guest genome was tested, debugged, and partially replaced by the host genome to establish E. coli controlled by a 2.3-Mb genome. This is less than half in size of the wildtype and the smallest ever reported. Enfleshing a guest genome will facilitate genome printing that transforms AI-designed genomes into physical ones.

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2st, assembly commercial kit (OriCiro Genomics) was discontinued,

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Image-based phenotypic sorting of synthetic cells | sadv

Image-based phenotypic sorting of synthetic cells | sadv | RMH | Scoop.it
Understanding the relationships between genotype and phenotype is key to many areas of biological research and to the development of synthetic cells. We describe an image-based screening and sorting workflow that explores the phenotypes of gene-expressing vesicles within nonclonal populations and selects the desired variants. Using automated confocal microscopy and real-time, neural network–assisted image analysis, we demonstrate that liposomes can be selected for fluorescence intensity, protein localization, membrane morphology, and dynamic behaviors, and their phenotype can be linked to genetic content. This approach could substantially accelerate the evolution of cellular functions in a minimal synthetic context.
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2st, tool

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