Biology subjects

Wu, J.

Publications and source records attributed to Wu, J..

At least 307 records · Page 17Linked to original sources

bioRxiv2024

Manipulation of the brown glume and internode 1 gene leads to alterations in lignified tissue coloration, lignification, and pathogen resistance in wheat

Lignin is a crucial component of the cell wall, providing mechanical support and protection against biotic and abiotic stresses. However, little is known about wheat lignin-related mutants and their roles in pathogen defense. In this study, we identified an ethyl methanesulfonate (EMS)-derived Aegilops tauschii mutant named brown glume and internode 1 (bgi1), which exhibits reddish-brown pigmentation in various tissues, including internodes, spikes, and glumes. Using map-based cloning and single nucleotide polymorphism (SNP) analysis, we identified AET6Gv20438400 (BGI1) as the leading candidate gene, encoding the TaCAD1 protein. The mutation occurred in the splice acceptor site of the first intron, resulting in a premature stop codon in BGI1. We validated the function of BGI1 using loss-of-function EMS and gene editing knockout mutants, both of which displayed reddish-brown pigmentation in lignified tissues. BGI1 knockout mutants exhibited reduced lignin content and shearing force relative to wild type, while BGI1 overexpression transgenic plants showed increased lignin content and enhanced disease resistance against common root rot and Fusarium crown rot. We confirmed that BGI1 exhibits CAD activity both in vitro and in vivo, playing an important role in lignin biosynthesis. BGI1 was highly expressed in the stem and spike and localized in the cytoplasm. Transcriptome analysis revealed the regulatory networks associated with BGI1. Finally, we demonstrated that BGI1 interacts with TaPYL-1D, potentially involved in the abscisic acid signaling pathway. The identification and functional characterization of BGI1 significantly advance our understanding of CAD proteins in lignin biosynthesis and plant defense against pathogen infection in wheat.

plant biology↗

bioRxiv2024

General purpose genotypes and evolution of higher plasticity in clonality underlie knotweed invasion

Many widespread invasive plant species express high phenotypic variation across novel environments, providing a unique opportunity to examine ecological and evolutionary dynamics under global change. However, biogeographical studies often lack information about the origin of introduced populations, limiting our understanding of post-introduction evolution of introduced species in the new range. Here, we assessed the responses of Reynoutria japonica from 128 populations spanning three latitudinal transects in the native ranges of China and Japan, and the introduced ranges of North America and Europe. When grown in two common gardens in the native range, plants from introduced populations in North America and Europe differed in almost all traits from those from native Chinese populations, but were similar to plants from native Japanese populations. Compared to Chinese populations, North American, European and Japanese populations expressed lower trait values and plasticity in most traits. However, plants from both introduced ranges and from Japanese populations expressed higher clonality and plasticity in clonality than plants from Chinese populations. In addition, introduced populations expressed higher plasticity in clonality but lower plasticity in basal diameter compared to Japanese populations. Our study showed heritable differences in phenotypes between plants from the native ranges of Japan and China, and those from the introduced ranges were similar to the putative source of origin in Japan. However, we found that introduced populations may have evolved higher plasticity in clonal growth. Our findings emphasize the critical role of clonality and plasticity in invasion success, demonstrating the importance of discriminating between source and non-source native populations to identify ecological and evolutionary responses of invasive plants to novel environments.

ecology↗

bioRxiv2024

High-throughput two-photon volumetric brain imaging in freely moving mice

Imaging neural activities across large volumes at subcellular resolution without impeding animal behaviors remains difficult. Here, we develop a high-throughput miniature Bessel-beam two-photon microscope (miniBB2p) capable of imaging calcium dynamics from neurons and dendrites over a volume of 420 x 420 x 80 m3 during free behavior. We share a full description of miniBB2p and demonstrate its ability to perform large-scale recordings of the calcium activities of more than 1000 neurons at a time in anterior cingulate cortex and secondary motor cortex of freely moving mice in various behavioral paradigms. Our results indicate that miniBB2p opens new avenues in the design of miniature multiphoton microscopes, facilitating precise monitoring of neural activities across large populations within a three-dimensional volume in freely moving animals.

neuroscience↗

bioRxiv2024

Data-Driven Equation-Free Dynamics Applied to Many-Protein Complexes: The Microtubule Tip Relaxation

Microtubules (MTs) constitute the largest components of the eukaryotic cytoskeleton and play crucial roles in various cellular processes, including mitosis and intracellular transport. The property allowing MTs to cater to such diverse roles is attributed to dynamic instability, which is coupled to the hydrolysis of GTP (guanosine-5-triphosphate) to GDP (guanosine-5-diphosphate) within the {beta}-tubulin monomers. Understanding the equilibrium dynamics and the structural features of both GDP- and GTP-complexed MT tips, especially at an all-atom level, remains challenging for both experimental and computational methods because of their dynamic nature and the prohibitive computational demands of simulating large, many-protein systems. This study employs the "equation-free" multiscale computational method to accelerate the relaxation of all-atom simulations of MT tips toward their putative equilibrium conformation. Using large MT lattice systems (14 protofilaments x 8 heterodimers) comprising [~]21-38 million atoms, we applied this multiscale approach to leapfrog through time and nearly double the computational efficiency in realizing relaxed all-atom conformations of GDP- and GTP-complexed MT tips. Commencing from an initial 4 s unbiased all-atom simulation, we interleave coarse projective "equation-free" jumps with short bursts of all-atom molecular dynamics simulation to realize an additional effective simulation time of 1.875 s. Our 5.875 s of effective simulation trajectories for each system expose the subtle yet essential differences in the structures of MT tips as a function of whether {beta}-tubulin monomer is complexed with GDP or GTP, as well as the lateral interactions within the MT tip, offering a refined understanding of features underlying MT dynamic instability. The approach presents a robust and generalizable framework for future explorations of large biomolecular systems at atomic resolution. SIGNIFICANCEThe dynamic instability of microtubules (MTs) is essential for a plethora of biological functions, from cell division to intracellular transport. Despite their importance, current computational models often struggle to handle the large-scale, long-term dynamics of all-atom simulations. This computational study employs the "equation-free" method to accelerate relaxation of the all-atom structures of MT tips in both GDP and GTP states which nearly halves the computational demands of simulating very large biomolecular systems. Our findings expose subtle but crucial structural differences between GDP-bound and GTP-bound MTs, particularly in the number of protofilament clusters, and is consistent with a relatively stronger lateral interactions in GTP-bound MT tips.

biophysics↗

bioRxiv2024

Similarity-weighted entropy for quantifying genetic diversity in viral quasispecies

Viral quasispecies are dynamic populations of genetically diverse viruses, often exhibiting high mutation rates. Understanding the genetic diversity within these quasispecies is critical for analyzing viral evolution, adaptation, and treatment resistance. Entropy and normalized Shannon entropy are widely used metrics to quantify this diversity. However, these metrics ignore genetic similarities between sequences, potentially underestimating the true diversity. In this paper, we introduce two methods for similarity-weighted normalized entropy that account for sequence similarities and provide more accurate measures of genetic diversity. By applying these methods to two hypothetical viral quasispecies populations, we compare the traditional entropy, normalized entropy, and the proposed similarity-weighted measures. Our results demonstrate that the similarity-weighted entropies better capture the true genetic diversity in highly related viral populations, while retaining the simplicity of the original entropy calculations. We discuss the advantages and limitations of both similarity-weighted measures and propose their application in viral quasispecies studies.

microbiology↗

bioRxiv2024

Wheat stripe rust resistance gene Yr9, derived from rye, is a CC-NBS-LRR gene in a highly conserved NLR cluster

Wheat stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is a significant threat to global wheat production. Genetic resistance plays a crucial role in controlling this disease. Among wheat breeding innovations, the wheat-rye 1BL.1RS translocations are notable for introducing alien genetic diversity, partly due to the presence of the stripe rust resistance gene Yr9 on 1RS. To clone Yr9, we first identified four Pst-susceptible mutants from Lumai 15, which carries the 1BL.1RS translocation and Yr9. Using these mutants, we performed Sequencing Trait-Associated Mutations (STAM). A single candidate gene, YrChr1B, was identified within the Yr9 locus and later confirmed as Yr9 through genetic complementation and gene editing. The Yr9 gene encodes a coiled-coil nucleotide-binding site leucine-rich repeat (CC-NBS-LRR or NLR) protein and is part of a 14-member NLR gene cluster. This cluster is conserved among Triticeae species and is an ortholog of the barley Mla locus. Cloning Yr9 expands the genetic resources available for molecular wheat breeding aimed at durable and broad-spectrum disease resistance.

plant biology↗

bioRxiv2024

Single-Cell Data Integration and Cell Type Annotation through Contrastive Adversarial Open-set Domain Adaptation

Single-cell sequencing technologies have enabled in-depth analysis of cellular heterogeneity across tissues and disease contexts. However, as datasets increase in size and complexity, characterizing diverse cellular populations, integrating data across multiple modalities, and correcting batch effects remain challenges. We present SAFAARI (Single-cell Annotation and Fusion with Adversarial Open-Set Domain Adaptation Reliable for Data Integration), a unified deep learning framework designed for cell annotation, batch correction, and multi-omics integration. SAFAARI leverages supervised contrastive learning and adversarial domain adaptation to achieve domain-invariant embeddings and enables label transfer across datasets, addressing challenges posed by batch effects, biological domain shifts, and multi-omics modalities. SAFAARI identifies novel cell types and mitigates class imbalance to enhance the detection of rare cell types. Through comprehensive benchmarking, we evaluated SAFAARI against existing annotation and integration methods across real-world datasets exhibiting batch effects and domain shifts, as well as simulated and multi-omics data. SAFAARI demonstrated scalability and robust performance in cell annotation via label transfer across heterogeneous datasets, detection of unknown cell types, correction of batch effects, and cross-omics data integration while leveraging available annotations for improved integration. SAFAARIs innovative approach outperformed competing methods in both qualitative and quantitative metrics, offering a flexible, accurate, and scalable solution for single-cell analysis with broad applicability to diverse biological and clinical research questions.

bioinformatics↗

bioRxiv2024

D-lactate derived from intestinal bacteria drives lysine D-lactylation to modulate transcription in liver cells

Emerging evidence indicates that the accumulated D-lactate (D-la) from intestinal bacteria induces diverse effects in human intestinal injury diseases. However, its regulatory mechanism and functional consequence remain unclear. Here, we show that the secreted D-la induces lysine D-lactylation (K-Dla) to modulate transcription in host cells. We uncover K-Dla in HepG2 cells stimulated by D-la from E. coli secretions. Then, we confirm the occurrence of D-la-driven K-Dla by four orthogonal approaches. We further validate that the existence of K-Dla in organisms by detecting the mouse liver and human intestinal tissue. Besides, we demonstrate a SCOT1-catalyzed biosynthetic pathway of D-lactyl-CoA, serving as a key donor for K-Dla. Next, we identify the K-Dla landscape with 2895 sites and further suggest the regulation of histone K-Dla in transcription by MNase ChIP-seq and RNA-seq assays. Finally, we show the potential effect of K-Dla on inhibiting the hepatocellular carcinoma cell proliferation. In summary, we report that the secreted D-la can induce K-Dla to regulate transcription, providing a new insight into the function of D-la secreted by gut microbiota and the effect of protein chemical modifications induced by bacterial secretions.

molecular biology↗

bioRxiv2024

UBR-1 deficiency leads to ivermectin resistance in C. elegans

Resistance to anthelmintics, particularly the macrocyclic lactone ivermectin (IVM), presents a substantial global challenge for parasite control. We found that the functional loss of an evolutionarily conserved E3 ubiquitin ligase, UBR-1, leads to IVM resistance in Caenorhabditis elegans. Multiple IVM-inhibiting activities, including viability, body size, pharyngeal pumping, and locomotion, were significantly ameliorated in various ubr-1 mutants. Interestingly, exogenous application of glutamate induces IVM resistance in wild-type animals. The sensitivity of all IVM-affected phenotypes of ubr-1 is restored by eliminating proteins associated with glutamate metabolism or signaling: GOT-1, a transaminase that converts aspartate to glutamate, and EAT-4, a vesicular glutamate transporter. We demonstrated that IVM-targeted GluCls (glutamate-gated chloride channels) are downregulated and that the IVM-mediated inhibition of serotonin-activated pharynx Ca2+ activity is diminished in ubr-1. Additionally, enhancing glutamate uptake in ubr-1 mutants through ceftriaxone completely restored their IVM sensitivity. Therefore, UBR-1 deficiency-mediated aberrant glutamate signaling leads to ivermectin resistance in C. elegans.

genetics↗

bioRxiv2024

Band-selective IR PRESS for brain tumor spectroscopy allows robust detection of lactate

Lactate plays a critical role in the tumor microenvironment, driving tumor progression, metastasis, and immune evasion. Despite its importance, in vivo quantification of lactate using magnetic resonance spectroscopy (MRS) has faced challenges, primarily due to the overlapping lipid signal at 1.3 ppm. Current clinical practice employs a long echo time to exploit differences in T2 relaxation between lactate and lipids; however, this approach significantly suppresses signals from other metabolites. Lipid has a notably different T1 relaxation time than lactate and other metabolites, which may be exploited by an inversion recovery sequence to better distinguish them. However, this method has not found wide use because of the loss of signal in other metabolites. Here we introduce a selective inversion pulse with a short echo time MRS method (SPIR-PRESS), which mitigates this issue. In phantom experiments, SPIR-PRESS successfully suppressed lipid signals that could be misinterpreted as lactate in short TE PRESS spectra, while maintaining sensitivity to the full metabolite profile. SPIR-PRESS demonstrated superior performance in quantifying lactate compared to long echo time PRESS, with [~] 60 % increase in sensitivity for lactate detection compared to conventional PRESS with a 288 ms TE. In a mouse glioma model, SPIR-PRESS clearly detected lactate and other key tumor metabolites (choline, creatine, NAA) in the tumor, which were not detectable in conventional long TE PRESS. These findings highlight SPIR-PRESS as a promising technique for improved lactate quantification and comprehensive metabolite profiling in tumor environments.

biochemistry↗

bioRxiv2024

Efficient degradation of oxidized polyethylene containing ester bonds by cutinase or lipase in aqueous phase

Polyethylene (PE) plastics are extensively utilized across agricultural, industrial, and medical sectors owing to their favorable physicochemical properties. However, their chemical stability and escalating production have resulted in severe waste accumulation and environmental pollution. Conventional disposal methods are plagued by resource inefficiency and secondary pollution. While emerging strategies offer promise, physicochemical methods demand harsh operating conditions, and biological routes remain inefficient. This research presents an integrated "chemical pretreatment-biodegradation-upcycling" system that combines the efficiency of chemical catalysis with the sustainability of biological conversion. Ester bonds were introduced into PE via Baeyer-Villiger oxidation, followed by enzymatic hydrolysis using the cutinase from Thermobifida fusca WSH03-11 (TfCut). Specifically, machine learning-aided optimization of reaction conditions and computational redesign of TfCut enhanced degradation efficiency, yielding a maximum weight loss of approximately 71.19%. The degradation intermediates were bio-converted into poly(3-hydroxybutyrate) (PHB) by the wild-type strain LETBE-HOU, isolated in this study, achieving a concentration of 16.75 mg/L. Multi-omics analysis of LETBE-HOU further revealed the PHB biosynthesis pathway and fatty acid degradation regulation. This work breaks the long-standing reliance on physiochemically-derived degradation intermediates for microbial conversion of PE, establishing a fully circular system that opens new avenues for future research.

biochemistry↗

bioRxiv2024

Structure-guided design, synthesis, and characterization of C22- and C32-modified FK520 analogs with enhanced activity against human pathogenic fungi

Invasive fungal infections are a leading cause of death worldwide. Translating molecular insights into clinical benefits is challenging because fungal pathogens and their hosts share similar eukaryotic physiology. Consequently, current antifungal treatments have limited efficacy, may be poorly fungicidal in the host, can exhibit toxicity, and are increasingly compromised by emerging resistance. We have established that the phosphatase calcineurin (CaN) is required for invasive fungal disease and an attractive target for antifungal drug development. CaN is a druggable target, and there is vast clinical experience with the CaN inhibitors FK506 and cyclosporin A (CsA). However, while FK506 and its natural analog FK520 exhibit antifungal activity, they are also immunosuppressive in the host and thus not fungal-selective. We leverage our pathogenic fungal CaN-FK506-FKBP12 complex X-ray structures and biophysical data to support structure-based ligand design as well as structure-activity relationship analyses of broad-spectrum FK506/FK520 derivatives with potent antifungal activity and reduced immunosuppressive activity. Here we apply molecular docking studies to develop antifungal C22- or C32-modified FK520 derivatives with improved therapeutic index scores. Among them, the C32-modified FK520 derivative JH-FK-44 (7) demonstrates a significantly improved therapeutic index compared to JH-FK-08, our lead compound to date. NMR binding studies with C32-derivatives are consistent with our hypothesis that C32 modifications disrupt the hydrogen bonding network in the human complex while introducing favorable electrostatic and cation-{pi} interactions with the fungal FKBP12 R86 residue. These findings further reinforce calcineurin inhibition as a promising strategy for antifungal therapy. SignificanceInvasive fungal infections cause significant mortality worldwide, and current antifungal treatments are often ineffective, toxic, or face growing resistance. This research identifies calcineurin (CaN), a critical protein for fungal survival, as a potential target for developing new antifungal drugs. Although existing CaN inhibitors such as FK506 (tacrolimus) and FK520 (ascomycin) possess antifungal properties, their immunosuppressive effects limit their clinical utility. By studying the structure of human and fungal FKBP12-FK506 or FK520 complexes with CaN, we have designed and synthesized modified FK520 derivatives with strong antifungal activity and reduced immunosuppressive effects. These new derivatives are expected to have significantly improved therapeutic profiles, offering hope for more effective and safer antifungal treatments.

microbiology↗

bioRxiv2024

IgGM: A Generative Model for Functional Antibody and Nanobody Design

AO_SCPLOWBSTRACTC_SCPLOWImmunoglobulins are crucial proteins produced by the immune system to identify and bind to foreign substances, playing an essential role in shielding organisms from infections and diseases. Designing specific antibodies opens new pathways for disease treatment. With the rise of deep learning, AI-driven drug design has become possible, leading to several methods for antibody design. However, many of these approaches require additional conditions that differ from real-world scenarios, making it challenging to incorporate them into existing antibody design processes. Here, we introduce IgGM, a generative model for the de novo design of immunoglobulins with functional specificity. IgGM produces antibody sequences and structures simultaneously for a given antigen, consisting of three core components: a pre-trained language model for extracting sequence features, a feature learning module for identifying pertinent features, and a prediction module that outputs designed antibody sequences and the predicted complete antibody-antigen complex structure. IgGM has demonstrated its effectiveness in not only predicting structures but also designing novel antibodies and nanobodies. This makes it highly applicable in a wide range of practical situations related to antibody and nanobody design. 1

bioinformatics↗

bioRxiv2024

Glutamatergic regulation of miRNA-containing exosome precursor trafficking and secretion from cortical neurons

Neuronal exosomes are emerging secreted signals that play important roles in the CNS. Currently little is known about how glutamatergic signaling affects the subcellular localization of exosome precursor intraluminal vesicles (ILVs), microRNA (miR) packaging into ILVs, and in vivo neuronal exosome spreading. By selectively labeling ILVs and exosomes with GFP-tagged human CD63 (hCD63-GFP) in cortical neurons, we found that glutamate stimulation significantly redistributes subcellular localization of hCD63-GFP+ ILVs especially decreases its co-localization with multi-vesicular body (MVB) marker Rab7 while substantially promoting exosome secretion. Interestingly, glutamate stimulation only modestly alters exosomal miR profiles based on small RNA sequencing. Subsequent in vivo cortical neuronal DREADD activation leads to significantly more widespread hCD63-GFP+ area in hCD63-GFPf/+ mice, consistently supporting the stimulatory effect of glutamatergic activation on neuronal exosome secretion and spreading. Moreover, in situ localization of hCD63-GFP+ ILVs and secreted exosomes from specialized Hb9+ and DAT+ neurons were also illustrated in the CNS.

neuroscience↗

bioRxiv2024

Direct measurement of PIP2 densities in biological membranes using a peptide-based sensor

Organization and composition of the plasma membrane are important modulators of many cellular programs. Phosphatidylinositol phosphate (PIP) lipids are low abundance membrane constituents with different arrangements of phosphate groups around an inositol head group that regulate a large number of signaling pathways. Many strategies have been developed to detect and track PIP species to monitor their clustering, mobility, and interaction with binding partners. We implement a peptide-based ratiometric sensor for the detection of PI(4,5)P2 lipids in reconstituted membrane systems that permit absolute quantification of PI(4,5)P2 densities down to physiological levels. The sensor is membrane permeable and easily applicable to measurements in living cells. Application of calibrated sensors to cells expressing common mutations in the small GTPase, Ras, showed a reshaping of surface PI(4,5)P2 levels and distributions in a mutation-specific manner. The rapid implementation of this quantitative sensing strategy to cellular studies of cellular signaling, membrane organization and dynamics should be broadly applicable.

biochemistry↗

bioRxiv2024

Cost-effective solutions for high-throughput enzymatic DNA methylation sequencing

Characterizing DNA methylation patterns is important for addressing key questions in evolutionary biology, geroscience, and medical genomics. While costs are decreasing, whole-genome DNA methylation profiling remains prohibitively expensive for most population-scale studies, creating a need for cost-effective, reduced representation approaches (i.e., assays that rely on microarrays, enzyme digests, or sequence capture to target a subset of the genome). Most common whole genome and reduced representation techniques rely on bisulfite conversion, which can damage DNA resulting in DNA loss and sequencing biases. Enzymatic methyl sequencing (EM-seq) was recently proposed to overcome these issues, but thorough benchmarking of EM-seq combined with cost-effective, reduced representation strategies has not yet been performed. To do so, we optimized Targeted Methylation Sequencing protocol (TMS)--which profiles [~]4 million CpG sites--for miniaturization, flexibility, and multispecies use at a cost of [~]$80. First, we tested modifications to increase throughput and reduce cost, including increasing multiplexing, decreasing DNA input, and using enzymatic rather than mechanical fragmentation to prepare DNA. Second, we compared our optimized TMS protocol to commonly used techniques, specifically the Infinium MethylationEPIC BeadChip (n=55 paired samples) and whole genome bisulfite sequencing (n=6 paired samples). In both cases, we found strong agreement between technologies (R{superscript 2} = 0.97 and 0.99, respectively). Third, we tested the optimized TMS protocol in three non-human primate species (rhesus macaques, geladas, and capuchins). We captured a high percentage (mean=77.1%) of targeted CpG sites and produced methylation level estimates that agreed with those generated from reduced representation bisulfite sequencing (R{superscript 2} = 0.98). Finally, we applied our protocol to profile age-associated DNA methylation variation in two subsistence-level populations--the Tsimane of lowland Bolivia and the Orang Asli of Peninsular Malaysia--and found age-methylation patterns that were strikingly similar to those reported in high income cohorts, despite known differences in age-health relationships between lifestyle contexts. Altogether, our optimized TMS protocol will enable cost-effective, population-scale studies of genome-wide DNA methylation levels across human and non-human primate species.

genomics↗

bioRxiv2024

Structure-guided secretome analysis of gall-forming microbes offers insights into effector diversity and evolution

Phytopathogens secrete effector molecules to manipulate host immunity and metabolism. Recent advances in structural genomics have identified fungal effector families whose members adopt similar folds despite sequence divergence, highlighting their importance in virulence and immune evasion. To extend the scope of comparative structure-guided analysis to more evolutionarily distant phytopathogens with similar lifestyles, we used AlphaFold2 to predict the 3D structures of the secretome from selected plasmodiophorid, oomycete, and fungal gall-forming pathogens. Clustering protein folds based on structural homology revealed species-specific expansions and a low abundance of known orphan effector families. We identified novel sequence-unrelated but structurally similar (SUSS) effector clusters, rich in conserved motifs such as CCG and RAYH. We demonstrate that these motifs likely play a central role in maintaining the overall fold. We also identified a SUSS cluster adopting a nucleoside hydrolase-like fold conserved among various gall-forming microbes. Notably, ankyrin proteins (ANK) were significantly expanded in gall-forming plasmodiophorids, with most being highly expressed during clubroot disease, suggesting a role in pathogenicity. Subsequently, we screened ANK proteins against Arabidopsis immunity hubs using AlphaFold-Multimer and verified one of the positive results by Y2H and BiFC assays to show that the ankyrin effector PBTT_00818 targets host MPK3 and a zinc-binding dehydrogenase. These findings suggest a potential new mechanism in which ANK effectors target multiple host proteins involved in stress sensing, opening a novel avenue to study the role of ANK in host-pathogen interactions. Altogether, this study advances our understanding of secretome landscapes in gall-forming microbes and provides a valuable resource for broadening structural phylogenomic studies across diverse phytopathogens.

microbiology↗

bioRxiv2024

An automated microfluidic platform for toxicity testing based on Caenorhabditis elegans

Humans are frequently exposed to a multitude of chemicals daily, necessitating efficient methods for rapidly assessing toxicity and potential health risks. Microfluidics has shown promise as an intelligent tool for rapid compound testing, owing to its flexibility in integrating with automated devices. The article introduces an automated microfluidic platform, based on Caenorhabditis elegans (C. elegans), designed for chemical toxicity testing. This platform consists of three modules - worm culture, monitoring, and image analysis - which enable automated worm culturing, drug delivery, periodic monitoring, and automated phenotypic analysis. Researchers have designed a bridged microfluidic chip that permits worms to move freely during experiments and established an economical monitoring module for long-term tracking and periodic imaging. Furthermore, they have developed an automated image analysis algorithm to automatically determine worm bending frequency. The platform was subsequently utilized for long-term toxicological assessments of the organophosphate pesticide and environmental pollutants. Results indicated that the platform can effectively evaluate the general and developmental impacts of chemicals. The automated microfluidic worm analysis platform holds significant potential for applications in drug safety assessmentand drug screening research, contributing to human health and industry advancement.

bioengineering↗