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mhryu@live.com
Today, 4:54 PM
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Functional metagenomics has emerged as an effective tool for discovering novel enzymes directly from environmental samples, overcoming the limitations of traditional culture-based methods. In this study, we used a functional metagenomic approach on stool samples from Axis kuhlii, an endemic deer species from Indonesia, to identify active cellulases. We created an efficient workflow for expression of metagenomic sequences directly in Komagatella phaffii by combining metagenomic sequencing to investigate enzyme diversity, multiplex PCR to build a genes library, and rolling circle amplification (RCA) to streamline the cloning process, eliminating the need for intermediate Escherichia coli transformation and propagation steps. Furthermore, a semi-high-throughput screening method was used to evaluate multiple samples at once, allowing for the rapid identification of active enzymes. Using this approach, we discovered five endoglucanases and three β-glucosidases with confirmed enzyme activity. This study shows that functional metagenomics can bridge the gap between computational predictions and experimental validation, providing a reliable platform for enzyme discovery and characterization from complex environmental microbiomes.
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mhryu@live.com
Today, 4:43 PM
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Transcription factors (TFs) efficiently locate their target DNA sequences by combining three-dimensional diffusion and one-dimensional sliding on nonspecific DNA. To balance rapid sliding with strong specific binding, TFs were proposed to switch between search and recognition conformations. For E. coli lac repressor (LacI), the folding of the hinge helices has been implicated in the conformational switch. Here, we tested how mutations in the hinge region impact the search speed and binding stability. Based on molecular dynamics simulations, we selected two LacI mutants favoring either search or recognition conformation. We measured the binding kinetics of the mutants both in vitro on DNA microarrays with 2479 different Lac operators and in vivo via single-molecule experiments. We identified a mutation that enhances the specificity but reduces binding strength globally, and another mutation that makes the operator binding stronger but also reduces the specificity. However, the altered specificity impacts the search time less than expected. Instead, the major effect was impaired dissociation in response to Isopropyl β-D-1-thiogalactopyranoside (IPTG) induction for the strongly binding mutant. Together with earlier reports of affinity–inducibility trade-offs in LacI, our data support the model in which the trade-off is between binding stability and inducibility rather than between speed and binding stability.
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mhryu@live.com
Today, 4:08 PM
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The CRISPR-Cas12a system offers a promising platform for simple and sensitive nucleic acid diagnostics, including tumor-associated variant detection and infectious agent identification. However, its intrinsic mismatch tolerance limits its ability to accurately detect single-nucleotide variants (SNVs). Here, we introduce Structure-Disruption-Sensitive CRISPR (SDS-CRISPR), a programmable CRISPR-Cas12a approach that achieves highly precise allele discrimination. Guided by AlphaFold3 modeling and bioinformatic analysis, we uncover how split structural design and ionic modulation reconfigure Cas12a conformations, elucidating the structural basis of SNV discrimination in SDS-CRISPR. We apply SDS-CRISPR to detect IDH1WT and IDH1R132H alleles with attomole sensitivity and 0.01% variant frequency. To facilitate intraoperative use, we combine SDS-CRISPR with a lateral-flow strip and an artificial intelligence-assisted smartphone reader, enabling on-site detection within 20 min. Clinical validation with 43 glioma tissue samples shows high concordance with immunohistochemistry, while plasma cfDNA testing demonstrates mutation fractions consistent with next-generation sequencing. Beyond glioma, SDS-CRISPR generalizes across molecular targets, discriminating microRNA isoforms and identifying HIV-1 drug-resistance mutations. Together, these results establish SDS-CRISPR as a universal, mechanistically informed, and clinically actionable framework for precision molecular diagnostics.
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mhryu@live.com
Today, 2:51 PM
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Despite their vital physiological roles, oxidative imbalance caused by reactive oxygen, nitrogen, sulphur, and chlorine species damages essential body macromolecules such as proteins, lipids, and nucleic acids through oxidative stress. This stress is strongly associated with cancer, inflammation, neurological and cardiovascular disorders, and other chronic human diseases. Therefore, antioxidants, natural or synthetic, that counteract oxidative damage are important, with increasing interest in their use within the pharmaceutical, food, and cosmetic industries. However, due to toxicity concerns with the synthetic variants, natural antioxidants are increasingly preferred. Extremophile-derived antioxidants, such as superoxide dismutases, catalases, peroxidases, carotenoids, and melanin, are of renewed interest due to their remarkable stability, robustness, and potency under extreme conditions of temperature, pH, and salinity. These make them better than many mesophile-derived antioxidants and excellent candidates for cost-effective biotechnological, research, and industrial processes that require high operational efficiency. This review summarises key classes of selected enzymatic and pigment antioxidants, their mechanisms of action, and their industrial relevance, with a focus on extremophilic microalgae, bacteria, and fungi. The benefits of extremophilic antioxidants are discussed alongside their current applications and existing challenges, including the need to develop efficient delivery systems, scalability issues, and limited characterisation.
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mhryu@live.com
Today, 2:41 PM
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Cell-free systems have great potential for nucleic acid assays, yet universal onsite diagnostics without preamplification are limited. Here, a universal cell-free diagnostic platform termed TRACKer (Target-Responsive non-preAmplification Cell-free diagnostic Kit) has been developed for detecting multiple respiratory viral RNAs in laboratory and field settings. TRACKer integrates three modules: ribozyme allostery module, riboregulator activation module, and output module. The ribozyme allostery module enables universal target recognition through strand displacement-mediated ribozyme conformational switching. The riboregulator activation module achieves preamplification-free detection via cascade expression of reporter proteins. The output module provides swappable reporter templates for luminescent quantification and lateral flow visualization in diverse scenarios. TRACKer is a robust system that enables rapid ( < 70 min) nucleic acid detection without preamplification and demonstrates attomolar sensitivity (1-10 aM) for six respiratory viruses. Overall, TRACKer presents a promising approach to nucleic acid detection, offering a low-cost and scalable solution with potential applications in point-of-care diagnostics and beyond. Cell-free systems hold potential for nucleic acid assays but are limited by the need for pre-amplification. Here the authors develop a cell-free diagnostic platform that detects viral RNA without pre-amplification demonstrating uses on six respiratory viruses in under 70 minutes with attomolar sensitivity.
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mhryu@live.com
Today, 2:30 PM
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Cell-type-specific promoters are used in gene therapy to restrict expression of the therapeutic payload. However, these promoters often have suboptimal strength, selectivity and size. Here, leveraging recent insights into the function of enhancers, we developed synthetic super-enhancers (SSEs) by assembling functionally validated enhancer fragments into multipart arrays. Focusing on the core SOX2-driven and SOX9-driven transcriptional regulatory network in glioblastoma stem cells (GSCs)1, we engineered SSEs with robust activity and high selectivity. Single-cell profiling, biochemical analyses and genome-binding data indicated that SSEs integrate neurodevelopmental and signalling-state transcription factors to trigger the formation of large multimeric complexes of transcription factors. Moreover, GSC-selective expression of a combination of cytotoxic (HSV-TK and ganciclovir) and immunomodulatory (IL-12) payloads, delivered using adeno-associated virus vectors, as a single treatment led to curative outcomes in a mouse model of aggressive glioblastoma. Notably, IL-12 induced an immunological memory that prevented tumor recurrence. The activity and selectivity of the adeno-associated virus and SSE were validated using primary human glioblastoma tissue and normal cortex samples. In summary, SSEs harness the unique core transcriptional programs that define the GSC phenotype and enable precision immune activation. This approach may have broader applications in other contexts when precise control of transgene expression in specific cell states is necessary. Synthetic super-enhancers enable specific delivery of anticancer payloads, achieving tumour elimination after a single dose in a mouse model of aggressive glioblastoma.
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mhryu@live.com
Today, 1:22 PM
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Acinetobacter baumannii natural isolates encode multiple copies of E. coli DNA polymerase V (pol VEc) umuDC homologs, some with as many as four nonidentical umuC and three nonidentical umuD genes encoding twelve possible pol VAb variants. Here, we show that six of the twelve pol VAb drive spontaneous and methyl methanesulfonate-induced mutations when expressed in E. coli Mutagenesis depends on co-expression with RecAAb. Five mutagenically active pol VAb combinations assemble in vitro as stable mutasome complexes that synthesize DNA, pol VAb Mut = UmuD′2CAb-RecAAb-ATP/ATPγS. One of the mutasomes requires an A. baumannii-encoded β/τ processivity clamp for activity in vitro. Translesion DNA synthesis (TLS) occurs at T^T cyclobutane dimers, with different variants exhibiting different nucleotide misincorporation specificities. As observed for E. coli pol V and R391 ICE-encoded Rum pol, a single amino acid substitution in RecA, RecAAb M196D, abolishes A. baumannii pol V-induced mutagenesis.
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mhryu@live.com
Today, 1:53 AM
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When creating synthetic transcription circuits, multi-input regulation is desirable. However, the size and complexity of prokaryotic circuits are constrained by the number of transcription factors that can simultaneously bind a promoter region. This limitation has been circumvented by leveraging the conserved architecture of LacI/GalR transcription repressors: The DNA binding domain of one repressor can be fused to paralogous ligand binding domains that bind different allosteric ligands; function can be optimized by mutating domain interfaces. When such chimeras were used in prior studies to co-regulate transcription, their set of allosteric ligands conveyed Boolean “AND”, “NOT”, and “NOR” logic from a single DNA operator. Here, we report construction and characterization of additional chimeras that can be used to expand the LacI/GalR toolkit. For both novel and previously reported chimeras, we assessed (and in most cases ruled out) cross reactivity among their ligands. As such, we propose that three of the novel chimeras, along with a previously uncharacterized fourth chimera, could be co-expressed in engineered systems to expand the options available for Boolean “AND” logic. Gratuitous inducers were identified for another prior chimera that would allow “OR” logic using a single transcription factor. Surprisingly, another novel chimera was anti-induced by the ligand that induces its parent protein. This allosteric switch illustrates what may be a general feature of the LacI/GalR proteins: they appear poised to switch between induction and anti-induction via changes in ligands or amino acid mutations. Practically speaking, this anti-induced chimera could be co-expressed with a previous anti-induced chimera to perform “NOR” logic.
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mhryu@live.com
Today, 1:41 AM
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Precise control of gene expression is essential for optimizing metabolic pathways, yet current tuning strategies based on promoter strength or gene copy number remain largely empirical. Chromosomal position represents an additional regulatory axis, as identical gene expression cassettes can exhibit markedly different expression levels depending on their integration sites. Here, we systematically quantified the expression output of 98 intergenic regions (IGRs) in Saccharomyces cerevisiae using a fluorescent reporter and developed a predictive framework, Yeast IGR Prophet (YeIP), that infers expression potential directly from genomic context. By integrating multi-scale genomic features including transcriptional neighborhood, chromatin state, and chromosome topology, YeIP accurately predicted expression ranks and enabled the construction of a genome-wide atlas of expression hotspot and coldspot. Using this atlas, we rationally optimized a three-gene lycopene pathway solely through genomic integration site selection, achieving optimal transcriptional stoichiometry without modifying promoters or gene copy numbers. These results transform chromosomal integration sites from static genomic coordinates into programmable regulatory elements, establishing a predictive, data-driven framework for rational and scalable design of metabolic pathways in yeast.
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mhryu@live.com
Today, 1:34 AM
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The release of extracellular vesicles (EV) is a universally conserved process. Bacterial EVs package diverse cargo, including proteins and nucleic acids, and influence bacterial adaptation and survival as well as host-pathogen interactions. Currently, our understanding of the mechanisms underlying global principles in Gram-positive EV biogenesis and release is limited, partly due to labor-intensive vesicle isolation and assessment methods. Here, we describe a moderately high-throughput approach to analyze the Nebraska Transposon Mutant Library to identify genetic determinants of EV production in S. aureus. We show that the agr quorum sensing system dictates EV production in response to nutrient availability, likely through communication with the adaptive stress response. This study demonstrates the contribution of nutritional stress to vesiculogenesis and supports a conserved communication strategy that allows metabolic state to influence EV production. omv
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mhryu@live.com
Today, 1:21 AM
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Polyketides constitute a vast family of structurally and functionally diverse natural products that underpin numerous pharmaceuticals, nutraceuticals, and materials. Among them, fungal type I iterative polyketide synthases (iPKSs) orchestrate highly programmable catalytic cycles that transform simple acyl-CoA precursors into architecturally complex molecules. Understanding the programming logic of these multidomain enzymes has revealed how chain-extension, reduction, and cyclization patterns are encoded, offering a foundation for rational pathway engineering. Recent advances in structural biology, cryo-electron microscopy (cryo-EM) analysis, and computational modelling have clarified the conformational dynamics of iPKSs and their collaborating enzymes, while combinatorial biosynthetic strategies now enable the creation of non-natural scaffolds and expanded chemical diversity. Parallel progress in fungal and yeast cell-factory engineering—spanning metabolic rewiring, organelle compartmentalization, and dynamic control—has substantially improved the efficiency and scalability of polyketide production. This review integrates mechanistic insights with biotechnological innovation, highlighting emerging rules for programmable PKS design and discussing future directions toward AI-assisted, high-throughput platforms for sustainable industrial biosynthesis of fungal polyketides.
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mhryu@live.com
Today, 1:16 AM
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Amine-containing micropollutants (AMPs), a class of structurally diverse polar compounds characterized by one or more amine functional groups, are frequently detected in wastewater sludge. However, the anaerobic transformation of these compounds and their impacts on microbial metabolism during anaerobic digestion (AD) remain poorly understood. In this work, six representative AMPs were selected to cover 16 structurally diverse primary, secondary, tertiary amine, and quaternary ammonium functionalities. α-C hydroxylation and N-acetylation were identified as the dominant initial reactions among the detected transformation products (TP), collectively accounting for 42.6% of all identified TPs. Furthermore, compound-specific differences in metabolic disturbance were observed. Quaternary ammonium compounds, N-dodecyl-N-benzyl-N,N-dimethylammonium chloride (DDBAC) and N,N-Didodecyl-N,N-dimethylammonium chloride (DDDAC) markedly reduced acetate kinase activity by 10.69 and 14.28%, respectively, and resulted in methane production yield reductions of 88.97 and 88.19%. The genome-centric metagenome revealed that exposure to AMPs prompted the reassembly of the microbial community, altered its functional attributes, and disturbed interspecies cross-feeding interactions. Specifically, AMPs triggered a shift in the methanogenic consortium from mixotrophic Methanosarcina flavescens to hydrogenotrophic Methanobacterium sp., owing to the latter’s metabolic versatility, vigorous proliferation, and superior energy conservation. These findings indicated that the chemical properties of amine functional groups have effects on anaerobic biotransformation pathways and microbial energy metabolism, providing mechanistic insight into AMPs toxicity and guiding mitigation strategies to enhance the stability and resilience of full-scale AD systems.
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mhryu@live.com
Today, 12:58 AM
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Conventional agriculture is increasingly incompatible with planetary boundaries, such as land and water demand, greenhouse-gas emissions, and disruption of the nitrogen cycle. Hydrogen-oxidizing bacteria (HOB) enable a scalable ″power-to-food″ approach in which aerobic gas fer-mentation turns CO2 and renewable H2, along with N2 in some strains, into protein-rich biomass, largely decoupling protein production from arable land and climate variability. The same chemistry is attractive for closed-loop space life support, where crew CO2 and electrolysis-derived H2 can be recycled into edible biomass. Here, we compare two leading HOB chassis strains, Cupriavidus necator H16 and Xanthobacter sp. SoF1, using standardized re-annotation, orthology-based comparison, pathway reconstruction, and safety-oriented genome screening. Importantly, SoF1 is the production strain for Solar Foods′ Solein®, a dried microbial biomass ingredient, which is approved as a novel food in Singapore and has a self-affirmed GRAS status in the United States. H16 has a larger, multipartite genome of 7.41 Mb split across two chromosomes and the pHG1 megaplasmid, whereas SoF1 is more compact at 4.91 Mb and encoded on a single replicon. Both encode Calvin-Benson-Bassham CO2 fixation and multiple [NiFe]-hydrogenase systems supporting growth on CO2/H2, but nitrogen economy differentiates the hosts. SoF1 encodes a complete nitrogen-fixation module (nifHDK) and nitrate-assimilation genes, whereas H16 lacks nif and instead encodes nitrate/nitrite respiration for oxygen-limited flexibility. Safety screening revealed no evidence of canonical virulence determinants, integron or plasmid-linked antimicrobial resistant (AMR) cassettes, or high-confidence foodborne exotoxins under strict thresholds. These results convert genome-level features into actionable design constraints for selecting and engineering food-grade HOB, strengthening robust air-to-protein bioprocesses on Earth and informing a blueprint for closed-loop, space-compatible protein production.
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mhryu@live.com
Today, 4:49 PM
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Type VII CRISPR-Cas system, evolutionarily associated with type III systems, utilizes a Cascade complex formed by Cas5 and catalytically inactive Cas7 copies for target RNA binding, but instead incorporates a specialized Cas14 ribonuclease for target cleavage. Here, we report a high-quality cryo-EM structure at the target engagement state with a shortened crRNA and elucidate how the recruited Cas14 captures the target RNA and undergoes target-mediated activation. The signature Cas14 is homologous to eukaryotic CPSF73 and prokaryotic RNase J, comprising two conserved subdomains, MβL and β-CASP. Different from canonical type III systems, 5′-end target RNA, rather than 3′-end, is bent into the positively charged binding channel formed by the two subdomains to access the conserved catalytic pocket on Cas14. Two special structural features, α1 helix from Cas7 and α10 helix from Cas14, promote the bent target RNA docking into the catalytic pocket of Cas14 nuclease in concert. A dual-functional loop, displaced by the entering target RNA, induces a closed-to-open transition between the two subdomains for nuclease activation. More importantly, the flipped dual-functional loop also maintains the stabilization of incoming target RNA. Altogether, our work provides a more comprehensive understanding of type VII system mechanism, laying a mechanistic foundation for RNA-targeting tool development.
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mhryu@live.com
Today, 4:32 PM
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Bacterial exposure to constant phage attack drives rapid diversification of antiphage defense systems, often through the exchange of modular defensive domains. Here, we leverage this modularity signature to identify new defense systems by systematically searching for operons encoding known defensive domains in non-canonical configurations. Using this approach, we identified 39 848 candidate defense operons in E. coli genomes. Annotation of the operons based on their shared defensive domains with known systems reveals that the operons represent variants of 82 defense families. Experimental testing of nine candidates validated six with anti-phage activity. These include DarTG and ietAS system variants that have acquired helicase modules, and a Gabija system in which a MazF-like protein replaces GajA, implying novel anti-phage mechanisms. We also identified a new clade of Pycsar that synergizes with type IV Thoeris to broaden phage protection. Our findings demonstrate that mining modular defensive domains provides a powerful strategy to predict and characterize new anti-phage systems, expanding the known repertoire of bacterial immunity.
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mhryu@live.com
Today, 2:52 PM
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Protein functional annotation is essential for understanding biological processes, disease mechanisms, and enzyme activities, yet experimental validation remains costly and low-throughput. With the rapid development of Artificial Intelligence (AI), a wide range of computational approaches have been proposed to infer protein functions. This review systematically examines methods for annotating Gene Ontology (GO) terms and Enzyme Commission (EC) numbers. These are two complementary systems that capture different aspects of protein functions. Based on these two systems, we first synthesize existing approaches into six general modeling paradigms with a clear, structured framework. Then, we introduce GO and EC in a parallel manner, consisting of representative methods, commonly used evaluation metrics, prediction scenarios, and task-specific challenges. Finally, we outline emerging opportunities and future directions aimed at achieving more accurate, context-dependent, and high-resolution protein functional annotation.
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mhryu@live.com
Today, 2:48 PM
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Quorum sensing enables bacteria to coordinate gene expression in response to population density through the detection of small-molecule signals. In gram-negative bacteria, LuxR-type transcription factors bind acyl-homoserine lactones to regulate collective behaviors, yet how ligand sensitivity is tuned to shape transcriptional outcomes remains poorly defined. In Pseudomonas aeruginosa, the quorum-sensing receptor RhlR responds to N-butyryl-L-homoserine lactone (C4HSL) and controls late-stage quorum-sensing behaviors, including phenazine biosynthesis. Here, we use a chemical-genetic and structure-guided mutational approach to define how RhlR ligand sensitivity regulates promoter-specific transcription. We identify substitutions within the RhlR ligand-binding pocket that enhance sensitivity to C4HSL without altering ligand specificity, generating hypersensitive receptor variants. Increased ligand sensitivity selectively represses phenazine biosynthetic gene expression, reduces pyocyanin production, and alters phenazine output, while leaving other RhlR-dependent quorum-sensing traits unaffected. Transcriptomic and chromatin immunoprecipitation analyses reveal that these effects arise from reduced expression of the RhlR co-regulator PqsE, leading to decreased RhlR occupancy at phenazine gene promoters. These findings support a coincidence-detection mechanism in which ligand sensing and co-regulator availability jointly determine transcriptional output. Together, our results demonstrate that ligand sensitivity is a critical regulatory determinant that tunes quorum-sensing gene expression. This work reveals how changes in signal detection can reshape transcriptional hierarchies and metabolic outputs, providing insight into the fine control of bacterial collective behaviors and virulence-associated metabolism.
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mhryu@live.com
Today, 2:36 PM
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The 5′-repeat fragments released during pre-crRNA maturation are critical yet understudied components of the CRISPR/Cas12a system. Here, we demonstrate that engineered 5′-repeat fragments can potently activate Cas12a cleavage, with efficiency strongly dependent on the length of the 3′-spacer. Strikingly, complete truncation of the 3′-spacer generates a “chiral-like crRNA” conformation that induces a delayed-switch mode of Cas12a activation, fundamentally distinct from conventional mature crRNA. Leveraging this characteristic, we develop the delayed cleavage feature-mediated one-pot sensing strategy that resolves the long-standing challenge of incompatibility between Cas12a-based cleavage reaction and nucleic acid amplification, achieving a 1000-fold improvement in sensitivity over that of the conventional mature crRNA-mediated one-pot method. Furthermore, we integrate a cleavage-based one-pot assay with a portable temperature-controlled fluorescence imaging device to create an on-site diagnostic platform for high-throughput screening. Our study further advances the understanding of the crRNA-guided mechanism and facilitates the expansion of its applications in genome editing and molecular diagnostics. In CRISPR/Cas12a systems, small RNA from pre-crRNA maturation is often overlooked. Here, authors show these fragments reconstitute with Cas12a to activate cleavage. They discover a crRNA activating Cas12a in a “delayed-switch” mode, resolving its incompatibility with nucleic acid amplification.
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mhryu@live.com
Today, 1:25 PM
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Protein-protein interactions (PPI) are molecular lego which define the physical states of cells. Accurately identifying PPIs remains challenging due to the interplay of several factors ranging from electrostatic to molecular geometry, topology, and physics. Existing computational approaches capture only fragments of this orchestra, limiting their generalizability across protein families and interaction types. Here, we present ProMaya, a hierarchical multi-scale Graph-transformer framework that integrates 3D atomic geometry, electronic distribution, residue-level structure and disorder, surface mass-density signatures, and large protein language-model embeddings of interacting proteins. Highly comprehensively benchmarked across nine species and 47 GB experimentally validated data, ProMaya achieved consistently >95% average accuracy, outperforming state-of-the-art tools by >12%. As driven by its explainability, the first time introduced atomic and protein language information dramatically boosted it to an outstanding level for PPI discovery in any species, potent to even bypass costly experiments. ProMaya system is freely accessible at https://scbb.ihbt.res.in/ProMaya/
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mhryu@live.com
Today, 2:00 AM
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Translational fusion of two separate genes into a compound sequence encoding a fusion protein is a key evolutionary mechanism which underpins the emergence of new protein activities, families, and architectures. In biotechnology, gene fusion is a valuable molecular evolution tool for tagging proteins of interest and for combining or altering protein activities. To broadly demonstrate and harness the gain-of-function capabilities of fusion genes in a whole-genome approach, we constructed a “Function Generator™” fusion gene library containing pairwise combinations of 5,019 protein-coding sequences in the Saccharomyces cerevisiae genome. The open reading frames (ORFs) were PCR amplified from the S288C yeast genome and cloned into a centromeric expression vector, with each ORF represented in the 5′ and the 3′ positions of the resulting gene fusions. To illustrate the ability of fusion genes in the library to confer complex phenotypes, a population of yeast library transformants was screened for resistance to four toxic heavy metal ions (Cd+2, Co+2, Cu+2, and Ni+2). Active fusion genes were cloned, validated, and sequenced, revealing a multitude of biological functions represented in these genes, including proteins involved in transcription, translation, metal ion binding and transport, and cell cycle control, as well as unknown functions. The gain-of-function principle of gene fusions was confirmed by comparing the activity of selected fusion genes to their constituent single ORFs expressed either individually or in nonfused pairs. Function Generator™ represents a powerful way to approach phenotypic diversity in the laboratory and to bypass a key evolutionary bottleneck for accelerated strain development.
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mhryu@live.com
Today, 1:48 AM
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Standardized methods for the assembly of DNA constructs have become indispensable in synthetic biology, biotechnology and basic research. The majority of frameworks—most prominently based on Golden Gate—have been developed and optimized for the assembly of transcriptional units (TUs) and thereof composed multi-gene expression constructs. This is significantly enabled by the modular organization of functional elements underlying any given TU. In contrast, the assembly of protein coding sequences typically necessitates tailored approaches. Addressing this technological gap, iterative functional linker cloning (iFLinkC) was recently developed to provide a standardized framework for assembling protein coding sequences of arbitrary size and complexity from the ground up based on pairwise ligations of any two DNA fragments via a two-base overlap. Yet, a need for physically purifying DNA fragments imposes significant procedural complexity and operator skill. Overcoming these limitations, a new assembly algorithm, termed iFLinkC-EZ, is presented. Crucially, the DNA assembly products are now purified by genetic means which greatly simplifies the underlying assembly process and also renders it compatible with robotic automation. Further, the potency of iFLinkC-EZ is demonstrated in the assembly of mono- and poly-chromatic poly-fluorescent fusion proteins as well as poly-cistronic expression constructs while examining the effect of poly-PT and poly-GGS linkers as well as ribosome binding sites on the functional expression of poly-fluorescent fusion protein constructs. Further, stable propagation of highly repetitive poly-fluorescent fusion protein constructs is demonstrated over >80 generations in E. coli. Finally, the utility of poly-fluorescent proteins is demonstrated for the enhanced labeling of surface displayed recombinant binders in yeast display. Given its ease and efficiency, iFLinkC-EZ is anticipated to be applicable to the assembly of many different types of fusion proteins and thereof based multi-gene expression constructs including but not limited to synthetic protein switches, sensors and multi-enzyme complexes as well as thereof composed genetic circuits and metabolic pathways.
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mhryu@live.com
Today, 1:35 AM
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The design of maximally divergent DNA sequences translating into the same protein is a critical problem in synthetic biology. Current design tools that rely on heuristics or machine learning often fail to effectively minimize the length of shared subsequences between the gene copies, compromising strain stability. Here, we introduce SIRIUS, a combinatorial optimization algorithm designed to generate maximally divergent coding sequences for a given protein of interest. Leveraging integer linear programming enforcing host-specific codon usage thresholds, SIRIUS stabilizes synthetic constructs and broadens the accessible design space for robust and scalable synethtic biology. Experimental results show that SIRIUS produces diverse sequences with fewer shared subsequences than existing methods. SIRIUS is freely available on GitHub at https://github.com/ucrbioinfo/sirius.
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mhryu@live.com
Today, 1:24 AM
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The widespread use of CRISPR-Cas9 in plants highlights the need for compact and efficient multiplexed genome editing systems. This study optimizes single-guide RNA (sgRNA) expression in CRISPR by leveraging endogenous tRNA processing mechanisms for efficient multiplexed genome editing. Screening in Arabidopsis thaliana and Oryza sativa identified superior tRNAs that outperformed the widely used AtGly-tRgcc. Leveraging tRNA’s dual functions in sgRNA processing and their intragenic RNA polymerase III promoter activity, we established a compact multiplexed system for simultaneous editing of at least ten genomic loci in rice and soybean. Moreover, we developed plant tRNA large language models that learn sequence representations to identify both canonical and noncanonical tRNAs, uncovering thousands of tRNAs missed by traditional algorithms and expanding the repertoire for genome editing. This work provides a robust tRNA-based CRISPR platform, an artificial intelligence-guided tRNA mining framework, and a comprehensive tRNA resource for advanced plant genome engineering and germplasm innovation.
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Scooped by
mhryu@live.com
Today, 1:19 AM
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Molecular Cloning is a cornerstone technology for amplifying, expressing, and manipulating specific DNA sequences. Traditional Restriction Enzyme Cloning (REC) methods are limited by sequence dependency and the introduction of undesirable “scar” sequences, which have driven the development of more advanced assembly strategies. In this review, we critically analyze major DNA Cloning techniques—from early methods to modern seamless assembly and in vivo systems. We delineate the fundamental differences between cloning vectors, which are primarily designed for DNA amplification and stable maintenance in host cells, and expression vectors, which incorporate regulatory elements that drive the expression of recombinant proteins or the transcription of guide RNAs (gRNAs) for cell therapy applications. We describe the mechanisms and enzymes involved in each approach and evaluate their key advantages and limitations. We emphasize the distinction between “scarred” methods (e.g., Restriction Enzyme Cloning, Gateway® Cloning) and “seamless” methods (e.g., Golden Gate Assembly, Exonuclease-based Seamless Cloning), highlighting the superior precision and multi-fragment assembly capability of seamless strategies for complex DNA Cloning projects in Synthetic Biology. Finally, we compare the trade-offs between in vitro systems, which are highly efficient but costly, and in vivo assembly approaches, which are simpler and more cost-effective but typically exhibit lower efficiency—making them suitable for self-sustained academic laboratories. We conclude that the optimal cloning strategy should be selected based on the specific requirements of the project, balancing junction type (scarred/seamless), sequence dependency, multi-fragment capability, flexibility, and cost to meet the needs of each experiment.
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mhryu@live.com
Today, 1:06 AM
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RNase PH is a critical exoribonuclease in E. coli that participates in tRNA maturation and RNA degradation. In earlier work, it was observed that levels of RNase PH decreased as much as 90% under conditions of nutrient deprivation, such as induced starvation and prolonged stationary phase, and that its removal was likely due to the degradation of the protein. Here, we examine the mechanisms involved in this regulatory process. We find that the protease Lon is primarily responsible for the removal of RNase PH that occurs in stationary phase and starvation. Conversely, RNase PH remains stable during the exponential phase of growth due to a protective interaction with the chaperonin protein, GroEL. Overproduction of GroEL protects RNase PH even under conditions of nutrient deprivation. Additionally, we find that RNase II activity also is required for the degradation of RNase PH, implying the involvement of an RNA molecule in the overall regulatory process. In mutant strains devoid of RNase II activity, even though retaining RNase II protein, RNase PH levels remain unchanged during nutrient deprivation which leads to excessive rRNA removal and ultimately to loss of viability. These findings provide another example of the complex regulatory mechanisms that underscore the importance of maintaining appropriate RNase levels under varying physiological conditions.
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