Biology subjects

Xing, C.

Publications and source records attributed to Xing, C..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

An LC-MS/MS method for the quantification of tobacco-specific carcinogen protein adducts.

4-(Methyl-nitrosamino)-1-(3-pyridyl)-1-butanone (NNK) and its major metabolite 4-(methylnitrosamino)-l-(3-pyri-dine)-l-butanol (NNAL) are tobacco-specific lung carcinogens. Methods have been developed to quantify NNK- and NNAL-specific DNA adducts in pre-clinical samples but are less feasible to translation due to limited access to target tissues for sufficient DNA. NNAL-specific DNA or protein adducts have never been detected in clinical samples, which are critical to support the physiological relevance of NNAL bioactivation and carcinogenesis. We reported a sensitive and specific LC-MS/MS method to quantify hydrolyzed NNAL adduct, 1-(3-pyridinyl)-1,4-butanediol (PBD). The method was applicable to variety of biological samples, to assess tobacco exposure and estimate NNAL bioactivation.

cancer biology↗

bioRxiv2025

AB-Free Kava Suppresses Tobacco Smoke-Induced CREB Phosphorylation in the Mouse Cerebellum

IntroductionOur recent studies revealed the potential of AB-free kava as a novel therapeutic candidate against tobacco use disorder while the underlying mechanism remains to be elucidated. The cerebellum region in the brain has recently been reported to be involved in tobacco smoke withdrawal. The cAMP response element-binding protein (CREB) activation via phosphorylation has also been reported to contribute to substance abuse, including tobacco use disorder. Our early pre-clinical work revealed the potential of AB-free kava to suppress tobacco smoke-induced CREB activation in lung tissues. MethodsIn this study, we investigated the impact of tobacco smoke exposure on the levels of phosphorylated CREB (p-CREB) in the mouse cerebellum and evaluated the effects of AB-free kava. ResultsFour different regimens of tobacco smoke exposure consistently increased the levels of p-CREB in the cerebellum. Importantly, AB-free kava effectively suppressed tobacco smoke-induced increase in p-CREB to levels comparable to mice without tobacco smoke exposure. ConclusionsCREB activation in the cerebellum is a potential mechanism involved in tobacco use disorder, and our data provide preliminary evidence for the protective potential of AB-free kava.

molecular biology↗

bioRxiv2025

FT-Kernel: An innovative kernel for decoding cellular secrets related time

The cell fate participants characterization based on single-cell RNA sequencing (scRNA-seq) data greatly facilitates the mechanism understandings of cellular differentiation. However, inferring these fate factors dynamics along the pseudotime is challenging. Based on cell-state density and pseudotime regression weights, we present an algorithm TimeFactorKernel (FT-Kernel), to predict the key cell fate factors, not only the minimum lineage transition genes, but also the related genesets/pathways, and cellular interaction dynamics along the pseudotime. By extrapolating the pseudotime-related key genes from spectral data as a pseudotime-kernel, FT-Kernel outperformed previous methods. Beyond time-related genes, FT-Kernel offered a comprehensive analysis of the inferred cellular interactions dynamics and lineage pathways dynamics along the pseudotime, which were limited in other methods. Additionally, it facilitated time-related fate factors prediction across various data modalities. Our work developed an important pseudotime-kernel in predicting the fate factors, and provided insights into the cellular hierarchies during development. SignificanceUnderstanding cellular changes over time is key to deciphering lifes processes from development to disease. Current single-cell methods miss crucial information by overlooking cell-state density dynamics and thus neglecting rare, low-density transitional states vital for cell fate decisions. TimeFactorKernel, a novel computational tool, overcomes this limitation. By prioritizing genes active in these low-density transitional states and employing machine learning for precise gene identification, TimeFactorKernel provides a powerful new approach to decode cell fate. Validated and widely adopted, TimeFactorKernel also uniquely models cell-cell interactions, opening new avenues for understanding complex biological systems in health and disease. KeypointsO_LIFT-Kernel is a novel kernel algorithm designed to predict time-related fate factors dynamics from the cell state density and pseudotime regression weights. C_LIO_LIFT-Kernel can be applied to identify lineage transition key genes, cellular interactions, and the multimodal fate kernel inference of genesets/pathways. C_LIO_LICompared to other temporal-related kernels, FT-Kernel minimizes the skewness of gene distribution and more accurately captures the state of fate transitions. C_LIO_LIFT-Kernel is an extensible multimodal framework facilitating to understand the mechanisms of cell differentiation and is available on GitHub. C_LI

bioinformatics↗

bioRxiv2025

Defects in nephrogenesis result in an expansion of the Foxd1+ stromal progenitor population

Reciprocal signaling interactions coordinate multiple aspects of kidney development. While signals from the stroma have been shown to regulate nephron progenitor cell (NPC) differentiation, much less is known about regulation of the stromal progenitor population. Here, we demonstrate that disruption of the NPC lineage via loss of Wt1 (i.e., Six2cre;Wt1c/c) results in an expansion of Foxd1+ stromal progenitor cells. Analyses of the developing stroma in two additional models, including Wnt4-null mutants (which fail to form nephron structures similar to Six2cre;Wt1c/c kidneys) and NPC ablation via diphtheria toxin (i.e., Six2cre;RosaDTAc/+), both phenocopy Six2cre;Wt1c/c mutants, thus further confirming that defects in the NPC lineage result in abnormal development of the stromal progenitor population. Furthermore, we identify a subcluster of the Foxd1+ stroma that appears expanded in the three mutant mouse models and conserved in human fetal kidneys. Overall, the findings from this study suggest that loss of differentiating nephron structures may result in possible over proliferation of the stromal progenitor population and/or a block in stromal differentiation and further highlight how crosstalk amongst the progenitor cell lineages coordinates multiple aspects of kidney development. KEY POINTSO_LIMutant mouse models targeting the nephron lineage (i.e., Six2cre;Wt1c/c and Wnt4-null mutants which fail to form early nephron structures) suggest that a block in NPC differentiation results in an abnormal expansion of the Foxd1+ stromal progenitor population. C_LIO_LIMutant kidneys with NPC ablation (i.e., Six2cre;RosaDTAc/+) show maintenance of stromal progenitors independent of signals from adjacent nephron progenitors and ureteric bud. C_LIO_LISingle nuclei RNA-seq identifies three subclusters of the Foxd1+ stromal progenitor population at E15.5, including one cluster of proliferating cells and a distinct Fap+, Igf1+, Gria1+, Gdnf- subcluster which appears expanded in Six2cre;Wt1c/c, Wnt4-null, and Six2cre;RosaDTAc/+ mutant kidneys and conserved in human fetal kidneys. C_LI

developmental biology↗

bioRxiv2025

RETINA: Reconstruction-based Pre-Trained Enhanced TransUNet for Electron Microscopy Segmentation on the CEM500K Dataset

Electron microscopy (EM) has revolutionized our understanding of cellular structures at the nanoscale. Accurate image segmentation is required for analyzing EM images. While manual segmentation is reliable, it is labor-intensive, incentivizing the development of automated segmentation methods. Although deep learning-based segmentation has shown promise, its accuracy to automatically segment cellular structures in EM data remains insufficient compared to expert manual results. Current approaches usually use either convolutional or transformer-based neural networks for image feature extraction. We developed the RETINA method, which combines pre-training on the large, unlabeled CEM500K EM image dataset with a hybrid neural-network model architecture that integrates both local (convolutional layer) and global (transformer layer) image processing to learn from manual image annotations. RETINA outperformed existing models on cellular structure segmentation on five public EM datasets. This improvement works toward automated cellular structure segmentation for the EM community. Data and code are available at Zenodo and GitHub.

bioinformatics↗

bioRxiv2024

Genetically Labeled Premyelinating Oligodendrocytes: Bridging Oligodendrogenesis and Neuronal Activity

To myelinate axons, oligodendrocyte precursor cells (OPCs) must stop dividing and differentiate into premyelinating oligodendrocytes (preOLs). PreOLs are thought to survey and begin ensheathing nearby axons, and their maturation is often stalled at human demyelinating lesions. Lack of genetic tools to visualize and manipulate preOLs has left this critical differentiation stage woefully understudied. Here, we generated a knock-in mouse line that specifically labels preOLs across the central nervous system. Genetically labeled preOLs exhibit distinct morphology, unique transcriptomic and electrophysiological features, and do not overlap with OPCs. PreOL lineage tracing revealed that subsets of them undergo prolonged maturation and that different brain regions initiate oligodendrogenesis with the spatiotemporal specificity. Lastly, by fate mapping preOLs under sensory deprivation, we find that neuronal activity functions within a narrow time window of preOL maturation to promote their survival and successful integration. Our work provides a new tool to probe this critical cell stage during axon ensheathment, allowing for fine dissection of axon-oligodendrocyte interactions.

neuroscience↗

bioRxiv2024

PAX2 is Transcriptionally Silenced by a Distinct Mechanism of Epigenetic Reprogramming to Initiate Endometrial Carcinogenesis

In most cancers, including endometrial cancer, tumor suppressor genes harboring inactivating mutations have been systematically cataloged. However, locus-specific epigenetic alterations contributing to cancer initiation and progression remain only partly described, creating knowledge gaps about functionally significant tumor suppressors and underlying mechanisms associated with their inactivation. Here, we show that PAX2 is an endometrial tumor suppressor recurrently inactivated by a distinct epigenetic reprogramming event not associated with promoter hypermethylation. PAX2 is expressed throughout normal endometrial glands; however, microscopic clones with PAX2 protein loss arise spontaneously in adulthood and progress to endometrial precancers and cancers. Here we show that PAX2 protein loss occurs via transcriptional silencing in 80% of endometrial cancers. Mechanistically, transcriptomic, epigenomic, 3D genomic, and machine learning analyses showed that silencing is associated with replacement of open/active chromatin features (H3K27ac/H3K4me3) with inaccessible/repressive features (H3K27me3). The spread of the H3K27me3 signal is restrained by cohesin loops, preventing transcriptional dysregulation of neighboring genes. Functionally, PAX2 loss promoted endometrial carcinogenesis by rewiring the transcriptional landscape via global enhancer reprogramming. Genetically engineered mouse models together with organoid and human cell line studies established Pax2 as an in vivo endometrial tumor suppressor that cooperates with Pten to produce lethal cancers. Our discovery of a specific and recurring epigenetic alteration that transcriptionally silences PAX2 to initiate most endometrial cancers opens new lines of investigation into the origins of endometrial cancer with diverse implications for its diagnosis and treatment. One Sentence SummaryWe demonstrate that PAX2 is silenced by a highly recurrent epigenetic mechanism to initiate most endometrial cancers, establishing a novel mechanism of tumor suppressor inactivation.

cancer biology↗

bioRxiv2024

CosinorTest: An R Shiny App for Cosinor-model-based circadian and differential analysis in transcriptomic applications

Summary CosinorTest application is an interactive R Shiny tool designed to facilitate circadian and differential circadian analysis with transcriptomic data using Cosinor-model-based methods. This novel application integrates multiple major statistical algorithms to identify circadian rhythmicity in gene expression data and enables the comparison of differential circadian patterns between two experimental conditions. Key features of the CosinorTest app include circadian rhythmicity detection, differential patterns assessment, circadian and differential analyses with repeated measurement, and interactive data visualization, all contributing to a comprehensive understanding of underlying biological mechanisms. As the application doing all comprehensive circadian analysis using the Cosinor model, the CosinorTest app fills a crucial gap in the field of circadian biology and transcriptomics, providing a powerful and user-friendly platform for researchers, especially those without profound programming skills to explore the circadian gene expression regulation, and further advance circadian research. Availability and implementationCosinorTest is freely available at https://circadiananalysis.shinyapps.io/circadianapp/. Contacthading@augusta.edu Supplementary informationSupplementary files are available at bioR{chi}iv online.

bioinformatics↗

bioRxiv2024

A Bayesian Framework for Genome-wide Circadian Rhythmicity Biomarker Detection

Circadian rhythms are endogenous [~]24-hour cycles that significantly influence physiological and behavioral processes. These rhythms are governed by a transcriptional-translational feedback loop of core circadian genes and are essential for maintaining overall health. The study of circadian rhythms has expanded into various omics datasets, necessitating accurate analytical methodology for circadian biomarker detection. Here, we introduce a novel Bayesian framework for the genome-wide detection of circadian rhythms that is capable of incorporating prior biological knowledge and adjusting for multiple testing issue via a false discovery rate approach. Our framework leverages a Bayesian hierarchical model and employs a reverse jump Markov chain Monte Carlo (rjMCMC) technique for model selection. Through extensive simulations, our method, BayesCircRhy, demonstrated superior false discovery rate control over competing methods, robustness against heavier-tailed error distributions, and better performance compared to existing approaches. The methods efficacy was further validated in two RNA-Sequencing data, including a human resitrcted feeding data and a mouse aging data, where it successfully identified known and novel circadian genes. R package "BayesianCircadian" for the method is publicly available on GitHub https://github.com/jxncdhc/BayesianCircadian.

bioinformatics↗

bioRxiv2024

EPOP Restricts PRC2.1 Targeting to Chromatin by Directly Modulating Enzyme Complex Dimerization

Polycomb repressive complex 2 (PRC2) mediates developmental gene repression as two classes of holocomplexes, PRC2.1 and PRC2.2. EPOP is an accessory subunit specific to PRC2.1, which also contains PCL proteins. Unlike other accessory subunits that collectively facilitate PRC2 targeting, EPOP was implicated in an enigmatic inhibitory role, together with its interactor Elongin BC. We report an unusual molecular mechanism whereby EPOP regulates PRC2.1 by directly modulating its oligomerization state. EPOP disrupts the PRC2.1 dimer and weakens its chromatin association, likely by disabling the avidity effect conferred by the dimeric complex. Congruently, an EPOP mutant specifically defective in PRC2 binding enhances genome-wide enrichments of MTF2 and H3K27me3 in mouse epiblast-like cells. Elongin BC is largely dispensable for the EPOP-mediated inhibition of PRC2.1. EPOP defines a distinct subclass of PRC2.1, which uniquely maintains an epigenetic program by preventing the over-repression of key gene regulators along the continuum of early differentiation.

molecular biology↗

bioRxiv2024

Stepwise Bayesian Machine Learning Uncovers a Novel Gene Regulatory Network Component in Neural Tube Development

Recent advancements in machine learning-based data processing techniques have facilitated the inference of gene regulatory interactions and the identification of key genes from multidimensional gene expression data. In this study, we applied a stepwise Bayesian framework to uncover a novel regulatory component involved in differentiation of specific neural and neuronal cells. We treated naive neural precursor cells with Sonic Hedgehog (Shh) at various concentrations and time points, generating comprehensive whole-genome sequencing data that captured dynamic gene expression profiles during differentiation. The genes were categorized into 224 subsets based on their expression profiles, and the relationships between these subsets were extrapolated. To accurately predict gene regulation among subsets, known networks were used as a core model and subsets to be added were tested stepwise. This approach led to the identification of a novel component involved in neural tube patterning within gene regulatory networks (GRNs), which was experimentally validated. Our study highlights the effectiveness of in silico modeling for extrapolating GRNs during neural development.

systems biology↗

bioRxiv2024

Tim-3 promotes viral infection by suppressing USP25-TRAF3-IRF7 signaling pathway

Tim-3, an immune checkpoint inhibitor, plays key roles in maintaining immune homeostasis and is involved in viral evasion. However, the precise role of Tim-3 in viral infection remains to be determined. USP25 is one of the deubiquitinating enzymes that serves to initiate antiviral immunity by deubiquitinating TRAF3 and triggering the anti-viral signaling pathway. Here we found that Tim-3 specific knockout in myeloid cells leads to enhanced anti-viral immunity in mice with VSV encephalitis by increasing type I interferon response. Mechanistically, Tim-3 inhibits the expression of USP25 via STAT1, interacts with USP25 but does not regulate its post-translational modification, and as a result, Tim-3 inhibits USP25 mediated deubiquitination of TRAF3, promotes k48-linked ubiquitination and degradation of TRAF3, and then inhibits the phosphorylation of IRF7, finally down-regulates the interferon response. These findings provide new insights into the function of Tim-3 in antiviral immunity and its related clinical significance.

immunology↗

bioRxiv2024

AB-free kava enhances resilience against the adverse health effects of tobacco smoke in mice

Tobacco smoke remains a serious global issue, resulting in serious health complications, contributing to the onsets of numerous preventive diseases, and imposing significant financial burdens. Despite regulatory policies and cessation measures aimed at curbing its usage, novel interventions are urgently needed for effective damage reduction. Our preclinical and pilot clinical studies showed that AB-free kava has the potential to reduce tobacco smoke-induced lung cancer risk, mitigate tobacco dependence, and reduce tobacco use. To understand the scope of its benefits in damage reduction and potential limitations, this study evaluated the effects of AB-free kava on a panel of health indicators in mice exposed to 2 - 4 weeks of daily tobacco smoke exposure. Our comprehensive assessments included global transcriptional profiling of the lung and liver tissues, analysis of lung inflammation, evaluation of lung function, exploration of tobacco nicotine withdrawal, and characterization of the causal PKA signaling pathway. As expected, Tobacco smoke exposure perturbed a wide range of biological processes and compromised multiple functions in mice. Remarkably, AB-free kava demonstrated the ability to globally mitigate tobacco smoke-induced deficits at the molecular and functional levels with promising safety profiles, offering a unique promise to mitigate tobacco smoke-related health damages. Further pre-clinical evaluation and clinical translation are warranted to fully harness the potential of AB-free kava in combating tobacco smoke-related harms. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=105 SRC="FIGDIR/small/599576v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@1f6ee4corg.highwire.dtl.DTLVardef@96e062org.highwire.dtl.DTLVardef@16579a0org.highwire.dtl.DTLVardef@1140a8e_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

bioRxiv2024

Opto-chemogenetic inhibition of L-type CaV1 channels in neurons through a membrane-assisted molecular linkage

Acute, specific, and robust inhibition of L-type Ca2+ (CaV1) channels has been sought after for both research and therapeutic applications. Compared to other available CaV1 antagonists, genetically-encoded modulators, such as CMI (C-terminus mediated inhibition) peptides encoded by CaV1 DCT (distal C-terminus), hold great potentials due to its affirmative mechanisms of action on both gating and signaling. Here, we find that membrane-anchoring with a Ras tag could essentially help form a type of intramolecular-equivalent linkage, by which the tag anchored-peptide appears to dimerize with another protein or peptide on the membrane, supported by the evidence from patch-clamp electrophysiology and FRET imaging. We then design and implement the constitutive and inducible CMI modules, with appropriate dynamic ranges targeting the short and long variants of CaV1.3, both naturally occurring in neurons. Upon optical (infrared-responsive nanoparticles) and/or chemical (rapamycin) induction of FRB/FKBP binding, DCT peptides with no CMI in the cytosol acutely translocate onto the membrane via FRB-Ras, where the physical linkage requirement could be fulfilled. The peptides robustly produce acute and potent inhibitions on both recombinant CaV1.3 channels and neuronal CaV1 activities, and thus the Ca2+ influx-neuritogenesis coupling. Validated through opto-chemogenetic induction, this prototype demonstrates channel modulation via membrane-assisted molecular linkage, promising broad applicability to diverse membrane proteins.

bioengineering↗

bioRxiv2024

The subcommissural organ regulates brain development via secreted peptides

The subcommissural organ (SCO) is a gland located at the entrance of the aqueduct of Sylvius in the brain. It exists in species as distantly related as amphioxus and humans, but its function is largely unknown. To explore its function, we compared transcriptomes of SCO and non-SCO brain regions and found three genes, Sspo, Car3, and Spdef, that are highly expressed in the SCO. Mouse strains expressing Cre recombinase from endogenous promoter/enhancer elements of these genes were used to genetically ablate SCO cells during embryonic development, resulting in severe hydrocephalus and defects in neuronal migration and development of neuronal axons and dendrites. Unbiased peptidomic analysis revealed enrichment of three SCO-derived peptides, namely thymosin beta 4, thymosin beta 10, and NP24, and their reintroduction into SCO-ablated brain ventricles substantially rescued developmental defects. Together, these data identify a critical role for the SCO in brain development.

neuroscience↗

bioRxiv2024

An inappropriate decline in ribosome levels drives a diverse set of neurodevelopmental disorders

Many neurodevelopmental defects are linked to perturbations in genes involved in housekeeping functions, such as those encoding ribosome biogenesis factors. However, how reductions in ribosome biogenesis can result in tissue and developmental specific defects remains a mystery. Here we describe new allelic variants in the ribosome biogenesis factor AIRIM primarily associated with neurodevelopmental disorders. Using human cerebral organoids in combination with proteomic analysis, single-cell transcriptome analysis across multiple developmental stages, and single organoid translatome analysis, we identify a previously unappreciated mechanism linking changes in ribosome levels and the timing of cell fate specification during early brain development. We find ribosome levels decrease during neuroepithelial differentiation, making differentiating cells particularly vulnerable to perturbations in ribosome biogenesis during this time. Reduced ribosome availability more profoundly impacts the translation of specific transcripts, disrupting both survival and cell fate commitment of transitioning neuroepithelia. Enhancing mTOR activity by both genetic and pharmacologic approaches ameliorates the growth and developmental defects associated with intellectual disability linked variants, identifying potential treatment options for specific brain ribosomopathies. This work reveals the cellular and molecular origins of protein synthesis defect-related disorders of human brain development. HighlightsO_LIAIRIM variants reduce ribosome levels specifically in neural progenitor cells. C_LIO_LIInappropriately low ribosome levels cause a transient delay in radial glia fate commitment. C_LIO_LIReduced ribosome levels impair translation of a selected subset of mRNAs. C_LIO_LIGenetic and pharmacologic activation of mTORC1 suppresses AIRIM-linked phenotypes. C_LI

developmental biology↗

bioRxiv2023

Fucosylated glycoproteins and fucosylated glycolipids play opposing roles in cholera intoxication

Cholera toxin (CT) is the etiological agent of cholera. Here we report that multiple classes of fucosylated glycoconjugates function in CT binding and intoxication of intestinal epithelial cells. In Colo205 cells, knockout of B3GNT5, the enzyme required for synthesis of lacto- and neolacto-series glycosphingolipids (GSLs), reduces CT binding but sensitizes cells to intoxication. Overexpressing B3GNT5 to generate more fucosylated GSLs confers protection against intoxication, indicating that fucosylated GSLs act as decoy receptors for CT. Knockout (KO) of B3GALT5 causes increased production of fucosylated O-linked and N-linked glycoproteins, and leads to increased CT binding and intoxication. Knockout of B3GNT5 in B3GALT5 KO cells eliminates production of fucosylated GSLs but increases intoxication, identifying fucosylated glycoproteins as functional receptors for CT. These findings provide insight into molecular determinants regulating CT sensitivity of host cells.

biochemistry↗

bioRxiv2023

Rapid and visual detection of Schistosoma japonicum circulating nucleic acids by CRISPR-Cas12a

BackgroundSchistosomiasis is the second most destructive parasitic disease globally. It poses a serious threat to human health if not diagnosed and treated promptly. However, the current detection methods have limitations due to their dependence on specialized equipments and personnel, and the long detection time, resulting in less-than-ideal detection outcomes. Therefore, more accurate and sensitive assays are required to aid in the control of schistosomiasis. This study aims to develop a rapid and practical method for detecting Schistosoma japonicum circulating nucleic acid by combining the Cas12a protein in the CRISPR (Clustered regularly interspaced short palindromic repeats) system with recombinase-mediated isothermal nucleic acid amplification technology. Methodology/Principal FindingsWe created a CRISPR-Cas12a detection method for Schistosomiasis. SjR2 and SjCHGCS19 genes with repetitive copies in the Schistosoma japonicum genome were targeted for detection. The CRISPR-Cas12a detection method can achieve a detection sensitivity of 1 cp/{micro}L, with no cross-reaction with the other three human-infecting trematode parasites. To vividly simulate clinical patients at different infection stages, we collected rabbits serums at 1 d, 3 d, 1 w, 3 w, 5 w, and 7 w post-infection. Circulating Schistosoma japonicum DNA in the serum can be detected as early as 3 days post-infection. The sample and positive rates of each stage were analyzed and the CRISPR-Cas12a detection method prevailed to Nested-PCR. Additionally, our assay offers flexible results readout options, including lateral test strips. Conclusions/SignificanceThis CRISPR-Cas12a detection method enables sensitive and specific detection of Schistosomiasis by detecting highly repetitive SjR2 and SjCHGCS19 genes. The method was fully validated with rabbits serums collected at different infection stages, which can be applied to monitoring the early infection of schistosomiasis in resource-limited regions. Author SummaryWith the development of schistosomiasis prevention and control efforts in recent years, the prevalence rate and infection intensity of schistosomiasis have decreased, making early and accurate diagnoses more challenging. Combining CRISPR-Cas12a protein with isothermal amplification technology, a detection method for the multi-copy sequences SjR2 and SjCHGCS19 in the genome of Schistosoma japonicum was developed in this study. The results demonstrated that the detection sensitivity of this method could reach 1 cp/{micro}L, with no cross reactivity with three other fluke-like human parasites. In this study, serum samples from 15 rabbits infected with Schistosoma japonicum were used to validate the method. The results demonstrated that rabbits could be identified as early as the third day after infection. CRISPR-Cas12a detection method has a higher positive rate than traditional Nested-PCR. In addition, lateral test strips enable direct observation of our assay results. The aforementioned research findings indicate that the CRISPR-Cas12a-based detection method can be utilized for the early diagnosis of schistosomiasis. In conjunction with the result reading method of the lateral test strips, it also provides a new method for the on-site diagnosis of schistosomiasis in environments with limited access to resources.

bioengineering↗