Biology subjects

Wang, C.

Publications and source records attributed to Wang, C..

At least 559 records · Page 31Linked to original sources

bioRxiv2023

Detection of short identity by descent segments using low-frequency variants

Rare diseases affect millions of individuals worldwide, yet diagnostic yields for them still remain low. Among variant identification approaches, identity by descent (IBD) mapping is used to identify disease susceptible variants originating from a recent common ancestor among affected individuals, but existing IBD detection models struggle to identify these variants in short IBD segments. Here, we introduce SILO, a novel model to detect disease susceptible variants in both short and long IBD segments. SILO employs a two-stage procedure to detect IBD segments. In the first stage, SILO identifies long IBD segments based on common variants. In the second stage, SILO utilizes rare variants to detect short IBD segments using a seed-and-extend algorithm. We evaluated SILO in simulated data and real data from the 1000 Genomes Project. Our results demonstrate that SILO outperforms existing models in detecting disease susceptible variants within short IBD segments, and show comparable performance in longer IBD segments. These findings highlight the potential of SILO to increase diagnostic yields for rare diseases by enhancing the identification of previously overlooked disease susceptible variants in short IBD segments.

genetics↗

bioRxiv2023

Requirement of microtubules for secretion of a micronemal protein CpTSP4 in the invasive stage of the apicomplexan Cryptosporidium parvum

The zoonotic Cryptosporidium parvum is a global contributor to infantile diarrheal diseases and opportunistic infections in immunocompromised/weakened individuals. Like other apicomplexans, it possesses several specialized secretory organelles, including micronemes, rhoptry and dense granules. However, the understanding of cryptosporidial micronemal composition and secretory pathway remains limited. Here we report a new micronemal protein in C. parvum, namely thrombospondin repeat domain-containing protein-4 (CpTSP4), providing insights into these ambiguities. Immunostaining and enzyme-linked assays show that CpTSP4 is prestored in the micronemes of unexcysted sporozoites but secreted during sporozoite excystation, gliding and invasion. In excysted sporozoites, CpTSP4 is also distributed on the two central microtubules unique to Cryptosporidium. The secretion and microtubular distribution could be completely blocked by selective kinesin-5 inhibitors, SB-743921 and SB-715992, resulting in the accumulation of CpTSP4 in micronemes. These support the kinesin-dependent microtubular trafficking of CpTSP4 for secretion. We also localize {gamma}-tubulin, consistent with kinesin-dependent anterograde trafficking. Additionally, recombinant CpTSP4 displays nanomolar binding affinity to host cell surface, for which heparin acts as one of the host ligands. A novel heparin-binding motif is identified and biochemically validated for its contribution to the adhesive property of CpTSP4 by peptide competition assays and site-directed mutagenesis. These findings shed light on the mechanisms of intracellular trafficking and secretion of a cryptosporidial micronemal protein and the interaction of a TSP-family protein with host cells. Importance Cryptosporidium parvum is a globally distributed apicomplexan parasite infecting humans and/or animals. Like other apicomplexans, it possesses specialized secretory organelles in the zoites, in which micronemes discharge molecules to facilitate the movement and invasion of zoites. Although past and recent studies have identified several proteins in cryptosporidial micronemes, our understanding on the composition, secretory pathways and domain-ligand interactions of micronemal proteins remains limited. This study identifies a new micronemal protein, namely CpTSP4, that is discharged during excystation, gliding and invasion of C. parvum sporozoites. The CpTSP4 secretion depends on the intracellular trafficking on the two Cryptosporidium-unique microtubes that could be blocked by kinesin-5/Eg5 inhibitors. Additionally, a novel heparin-binding motif is identified and biochemically validated, which contributes to the nanomolar binding affinity of CpTSP4 to host cells. These findings indicate that kinesin-dependent microtubular trafficking is critical to CpTSP4 secretion and heparin/heparan sulfate is one of the ligands for this micronemal protein.

microbiology↗

bioRxiv2023

Cardiac disease diagnosis based on GAN in case of missing data

In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. However, these statistical methods require collecting data from the entire research area, which consumes a significant amount of manpower and material resources. Additionally, data integration is difficult and poses privacy protection challenges, resulting in a large number of missing data in the dataset. The presence of incomplete data significantly reduces the quality of the published data, hindering the timely analysis of data and the generation of reliable knowledge by epidemiologists, public health authorities, and researchers. Consequently, this affects the downstream tasks that rely on this data. To address the issue of discrete missing data in cardiac disease, this paper proposes the AGAN (Attribute Generative Adversarial Nets) architecture for missing data filling, based on generative adversarial networks. This algorithm takes advantage of the strong learning ability of generative adversarial networks. Given the ambiguous meaning of filling data in other network structures, the attribute matrix is designed to directly convert it into the corresponding data type, making the actual meaning of the filling data more evident. Furthermore, the distribution deviation between the generated data and the real data is integrated into the loss function of the generative adversarial networks, improving their training stability and ensuring consistency between the generated data and the real data distribution. This approach establishes the missing data filling mechanism based on the generative adversarial networks, which ensures the rationality of the data distribution while filling the missing data samples. The experimental results demonstrate that compared to other filling algorithms, the data matrix filled by the proposed algorithm in this paper has more evident practical significance, fewer errors, and higher accuracy in downstream classification prediction.

physiology↗

bioRxiv2023

The lipid Gb3 promotes germinal center B cell responses and anti-viral immunity

Influenza viruses escape immunity due to rapid antigenic evolution, which requires vaccination strategies that allow for broadly protective antibody responses. Here, we demonstrate that the lipid globotriaosylceramide (Gb3) expressed on germinal center (GC) B cells is essential for the production of high-affinity antibodies. Mechanistically, Gb3 binds and disengages CD19 from its chaperone CD81 for subsequent translocation to the B cell receptor (BCR) complex to trigger signaling. Abundance of Gb3 amplifies the PI3-kinase/Akt/Foxo1 pathway to drive affinity maturation. Moreover, this lipid regulates MHC-II expression to increase diversity of T follicular helper (Tfh) and GC B cells reactive with subdominant epitopes. In influenza infection, Gb3 promotes broadly reactive antibody responses and cross-protection. Thus, we show that Gb3 determines affinity as well as breadth in B cell immunity and propose this lipid as novel vaccine adjuvant against viral infection. One Sentence SummaryGb3 abundance on GC B cells selects antibodies with high affinity and broad epitope reactivities, which are cross-protective against heterologous influenza infection.

immunology↗

bioRxiv2023

Picomolar-Level Sensing of Cannabidiol by Metal Nanoparticles Functionalized with Chemically Induced Dimerization Binders

Simple and fast detection of small molecules is critical to health and environmental monitoring. Methods for chemical detection often use mass spectrometers or enzymes; the former relies on expensive equipment and the latter is limited to those that can act as enzyme substrates. Affinity reagents like antibodies can target a variety of small-molecule analytes, but the detection requires successful design of chemically conjugated targets or analogs for competitive binding assays. Here, we developed a generalizable method for highly sensitive and specific in-solution detection of small molecules, using cannabidiol (CBD) as an example. Our sensing platform uses gold nanoparticles (AuNPs) functionalized with a pair of chemically induced dimerization (CID) nanobody binders (nano-binders), where CID triggers AuNPs aggregation and sedimentation in the presence of CBD. Despite moderate binding affinities of the two nano-binders to CBD (KDs of [~]6 and [~]56 {micro}M), a scheme consisting of CBD-AuNP pre-analytical incubation, centrifugation, and electronic detection (ICED) was devised to demonstrate a high sensitivity (limit of detection of [~]100 picomolar) in urine and saliva, a relatively short assay time ([~]2 hours), a large dynamic range (5 logs), and a sufficiently high specificity to differentiate CBD from its analog, tetrahydrocannabinol. The high sensing performance was achieved with the multivalency of AuNP sensing, the ICED scheme that increases analyte concentrations in a small assay volume, and a portable electronic detector. This sensing system is readily coupled to other binders for wide molecular diagnostic applications.

bioengineering↗

bioRxiv2023

Quantitative Learning of Cellular Features From Single-cell Transcriptomics Data Facilitates Effective Drug Repurposing

In this study, we have devised a computational framework SuperFeat that allows for the training of a machine learning model and evaluate the canonical cellular states/features in pathological tissues that underlie the progression of disease. This framework also enables the identification of potential drugs that target the presumed detrimental cellular features. This framework was constructed on the basis of an artificial neural network with the gene expression profiles serving as input nodes. The training data comprised single-cell RNA-seq datasets that encompassed the specific cell lineage during the developmental progression of cell features. A few models of the canonical cancer-involved cellular states/features were tested by such framework. Finally, we have illustrated the drug repurposing pipeline, utilizing the training parameters derived from the adverse cellular states/features, which has yielded successful validation results both in vitro and in vivo. SuperFeat is accessible at https://github.com/weilin-genomics/rSuperFeat.

cell biology↗

bioRxiv2023

ssREAD: A Single-cell and Spatial RNA-seq Database for Alzheimer's Disease

Alzheimers Disease (AD) pathology has been increasingly explored through single-cell and single-nucleus RNA-sequencing (scRNA-seq & snRNA-seq) and spatial transcriptomics (ST). However, the surge in data demands a comprehensive, user-friendly repository. Addressing this, we introduce a single-cell and spatial RNA-seq database for Alzheimers disease (ssREAD). It offers a broader spectrum of AD-related datasets, an optimized analytical pipeline, and improved usability. The database encompasses 1,053 samples (277 integrated datasets) from 67 AD-related scRNA-seq & snRNA-seq studies, totaling 7,332,202 cells. Additionally, it archives 381 ST datasets from 18 human and mouse brain studies. Each dataset is annotated with details such as species, gender, brain region, disease/control status, age, and AD Braak stages. ssREAD also provides an analysis suite for cell clustering, identification of differentially expressed and spatially variable genes, cell-type-specific marker genes and regulons, and spot deconvolution for integrative analysis. ssREAD is freely available at https://bmblx.bmi.osumc.edu/ssread/.

bioinformatics↗

bioRxiv2023

The genome and population genomics of allopolyploid Coffea arabica reveal the diversification history of modern coffee cultivars

Coffea arabica, an allotetraploid hybrid of C. eugenioides and C. canephora, is the source of approximately 60% of coffee products worldwide, and its cultivated accessions have undergone several population bottlenecks. We present chromosome-level assemblies of a di-haploid C. arabica accession and modern representatives of its diploid progenitors, C. eugenioides and C. canephora. The three species exhibit largely conserved genome structures between diploid parents and descendant subgenomes, with no obvious global subgenome dominance. We find evidence for a founding polyploidy event 350,000-610,000 years ago, followed by several pre-domestication bottlenecks, resulting in narrow genetic variation. A split between wild accessions and cultivar progenitors occurred [~]30.5 kya, followed by a period of migration between the two populations. Analysis of modern varieties, including lines historically introgressed with C. canephora, highlights their breeding histories and loci that may contribute to pathogen resistance, laying the groundwork for future genomics-based breeding of C. arabica.

genomics↗

bioRxiv2023

Tauopathy severely disrupts homeostatic set-points in emergent neural dynamics but not the activity of individual neurons.

The homeostatic regulation of neuronal activity is essential for robust computation; key set-points, such as firing rate, are actively stabilized to compensate for perturbations. From this perspective, the disruption of brain function central to neurodegenerative disease should reflect impairments of computationally essential set-points. Despite connecting neurodegeneration to functional outcomes, the impact of disease on set-points in neuronal activity is unknown. Here we present a comprehensive, theory-driven investigation of the effects of tau-mediated neurodegeneration on homeostatic set-points in neuronal activity. In a mouse model of tauopathy, we examine 27,000 hours of hippocampal recordings during free behavior throughout disease progression. Contrary to our initial hypothesis that tauopathy would impact set-points in spike rate and variance, we found that cell-level set-points are resilient to even the latest stages of disease. Instead, we find that tauopathy disrupts neuronal activity at the network-level, which we quantify using both pairwise measures of neuron interactions as well as measurement of the networks nearness to criticality, an ideal computational regime that is known to be a homeostatic set-point. We find that shifts in network criticality 1) track with symptoms, 2) predict underlying anatomical and molecular pathology, 3) occur in a sleep/wake dependent manner, and 4) can be used to reliably classify an animals genotype. Our data suggest that the critical set-point is intact, but that homeostatic machinery is progressively incapable of stabilizing hippocampal networks, particularly during waking. This work illustrates how neurodegenerative processes can impact the computational capacity of neurobiological systems, and suggest an important connection between molecular pathology, circuit function, and animal behavior.

neuroscience↗

bioRxiv2023

Probucol mitigates high-fat diet-induced cognitive and social impairments through disruption of redox-inflammation association

Obesity and its detrimental metabolic consequences are commonly recognized as risk factors for impairments in the central nervous system (CNS). However, the direct link between metabolic abnormalities and brain functions during high-fat feeding remains unclear. Here, we show that treatment with probucol, a cholesterol-lowering drug, counteracts the cognitive and social impairments induced by a high-fat diet in mice, while having no effect on mood disorders. Unexpectedly, the beneficial effects of probucol do not result from rectifying obesity or restoring glucose and lipid homeostasis, as evidenced by the lack of change in body weight, blood glucose and serum cholesterol levels. Interestingly, high-fat feeding led to association among the levels of redox factors, including oxidized low-density lipoprotein, glutathione and malondialdehyde, as well as a significant negative correlation between malondialdehyde levels and behavioral performance. Probucol treatment interrupts these linkages and differentially regulates the proteins for the generation of reactive oxygen species and reactive nitrogen species in the brain. These findings prompt a reconsideration of the mechanism of action of probucol, as well as the roles of altered metabolic profiles and free radicals in brain function.

animal behavior and cognition↗

bioRxiv2023

Rof is a key regulator of Rho and transcription termination in bacteria

Transcription is crucial for the expression of genetic information and its efficient and accurate termination is required for all living organisms. Rho-dependent termination could rapidly terminate unwanted premature RNAs and play important roles in bacterial adaptation to changing environments. Although Rho has been discovered for about five decades, the regulation mechanisms of Rho-dependent termination are still not fully elucidated. Here we report the cryogenic electron microscopy structure of Rho-Rof antitermination complex. The structure shows that Rof binds to the open-ring Rho hexamer and inhibits the initiation of Rho-dependent termination. Rofs N-terminal -helix is key in facilitating Rof-Rho interactions. Rof binds to Rhos primary binding site (PBS) and excludes Rho from binding with PBS ligand RNA at the initiation step. Further in vivo assays in Salmonella Typhimurium show that Rof is required for virulence gene expression and host cell invasion, unveiling a novel physiological function of Rof and transcription termination in bacterial pathogenesis.

microbiology↗

bioRxiv2023

The Diversity of NLRs in Brassica rapa Pan-genome

The species Brassica rapa is mainly cultivated as a vegetable crop with high economic value. But infectious diseases, such as soft rot disease and clubroot disease can cause severe yield losses. Introducing resistance genes through breeding is an efficient and sustainable way to reduce the susceptibility and improve the yield of crops. Nucleotide-Binding Leucine-Rich Repeat (NLR) genes are the main types of resistance genes. They can recognize pathogen effectors and initiate downstream immune response. However, the intraspecific diversity of NLR genes in Brassica rapa has remained unknown. Based on domain similarity search and machine learning pipeline, we identified 2188 NLRs in 17 accessions of Brassica rapa genomes, which constitute the species-wide pan-NLRome in Brassica rapa. The diversity of the four types of NLR genes are significantly different in the aspects of chromosome location, number stability, integrated domains (IDs), evolutionary trajectory, and positive selection sites. Phylogenetic analyses show TNL-type NLRs whose N terminus contain Toll/interleukin-1 receptor (TIR) domain experienced accession-specific expansion. Moreover, the expanded TNL-type NLRs carry more positively selected amino acid residues which are mainly located on the protein surface based on their 3D structures. These evidences might imply their important biological function in perceiving pathogen effectors. Taken together, our study provides better insights into the diversity and variation of NLR genes in Brassica rapa pangemone, which can facilitate the biofunction assigning, cloning, and subsequent application in breeding programs.

genomics↗

bioRxiv2023

Metabolites with benzene ring from sugarcane leaf play important role in plant-Spodoptera frugiperda interaction

Secondary metabolism plays important role in plant growth and development, however, the relationship between secondary metabolism and adaptive plant-insect communication is largely unknown. The present study used sugarcane line highly susceptible to Spodoptera frugiperda and sister line with medium resistance to analyze the role of plant non-volatile organic compounds (NOCs) and volatile organic compounds (VOCs) in sugarcane-S. frugiperda interaction. A total of 46 plant NOCs and 15 plant VOCs significantly different between resistant and susceptible lines and were continuously up-regulated and down-regulated at different time points before/after S. frugiperda treatment were screened. Phenolic acids containing benzene ring accounted for the largest proportion of differential NOCs. Levels of 66.7% of these phenolic acids were higher in susceptible line. Feeding supplemented with NOCs showed that phenoxyacetic acid (phenolic acid) and 4-methoxybenzaldehyde (aromatic phenolic acid) both increased the male-to-female ratio of S. frugiperda. Aromatics containing benzene ring, accounted for the largest of differential VOCs in susceptible line. Two aromatics, p-cymene and benzene and 1-ethenyl-4-methoxy-, with higher level in susceptible line, were attractive to S. frugiperda. Terpenoids, aldehyde, and esters accounted for most of higher-in-resistant VOCs, with most tested to be repellent to S. frugiperda. Furthermore, transcriptome analysis of S. frugiperda feeding on susceptible and resistant lines combined with feeding assays revealed that tryptophan, as a precursor of aromatic compounds that also contains benzene ring, could promote the growth and development of S. frugiperda in nutritional deficiency condition. These findings together suggested that benzene-ring containing compounds play a critical role in plant-Spodoptera frugiperda interaction.

ecology↗

bioRxiv2023

Von Willebrand Factor Synergizes with Tumor-Derived Extracellular Vesicles to Promote Gastric Cancer Metastasis

Cells of gastric cancer invade local tissue extensively and also metastasize through the circulation to remote organs. Patients with metastasized gastric cancer have poor outcomes. Cancer cells are known to release extracellular vesicles (EVs) that contribute to cancer progression, but how cancer cell-derived EVs promote cancer growth and metastasis remains poorly understood. We have recently reported that levels of circulating gastric cancer cell-derived EVs (gcEVs) and the adhesive ligand von Willebrand factor (VWF) are associated with cancer metastasis and poor prognosis of patients, but the underlying mechanism of this gcEV-VWF interaction was not known. Here we report results from a study designed to investigate the synergistic action of VWF and gcEVs in vitro and in mouse models. We showed that VWF in cancer-bearing mice was hyperadhesive and became microvesicle-bound. EV-bound VWF mediated the adhesion of gcEVs to the endothelium to disrupt endothelial integrity and facilitate the transendothelial migration of cancer cells and pulmonary metastasis. Reducing VWF adhesive activity by the metalloprotease ADAMTS-13 or promoting gcEV clearance by the scavenging factor lactadherin prevented pulmonary metastasis in mice. These results highlight the synergistic action of gcEVs and VWF in promoting gastric cancer metastasis and identifying new targets for its prevention. Key point: Author contributionsO_LIHyperadhesive VWF becomes microvesicle-bound to induce endothelial leakage and promote the pulmonary metastasis of gastric cancer in mice. C_LIO_LIReducing VWF activity by ADAMTS-13 and accelerating microvesicle clearance by lactadherin reduces pulmonary metastasis of gastric cancer. C_LI

cancer biology↗

bioRxiv2023

Harnessing extracellular vesicles for efficient siRNA delivery in vitro and in vivo

To fulfill the potential of small interference RNA (siRNA) therapeutics, diverse and efficient delivery platforms for siRNA are urgently needed. Extracellular vesicles (EVs) are endogenous, cell secreted nano-vehicles which have been explored for functional siRNA delivery, yet impurities in EVs preparation and lack of efficient siRNA loading method have been limiting its further development into clinical applications. In this work, we have achieved high quality EVs production and an siRNA loading system via EVs. The prepared EV-siRNA system was able to deliver siRNA cargo to model cell lines to silence the expression of targeted genes with high potency. Furthermore, EV-siRNA administration in a tumor xenograft model significantly inhibited tumor growth. Therefore, this study establishes an innovative and efficient EV-siRNA platform for siRNA delivery in vitro and in vivo.

cancer biology↗

bioRxiv2023

Structural insights into DNA Topoisomerase II of African Swine Fever Virus

Type II topoisomerases are ubiquitous enzymes that play a pivotal role in modulating the topological configuration of dsDNA. These Topo enzymes are indispensable for DNA metabolism and have been extensively investigated in both prokaryotic and eukaryotic organisms. However, understanding of virus-encoded Topo II remains limited. One intriguing example is the African swine fever virus (ASFV), which stands as the sole mammalian-infecting virus encoding a Topo II. In this work, we utilized multiple approaches involving cryo-EM, X-ray crystallography, atomic force microscopy and biochemical assays to investigate the structure and function of ASFV Topo , pP1192R. We determined the structures of pP1192R in different conformational states and confirming its enzymatic activity in vitro. Collectively, our results unveil the basic mechanisms of viral Topo II, thereby not only augmenting our understanding of this kind of intriguing enzymes but also presenting a potential avenue for the intervention strategies to mitigate the impact of African swine fever virus.

molecular biology↗

bioRxiv2023

Flexiplex: A versatile demultiplexer and search tool for omics data

The process of analyzing high throughput sequencing data often requires the identification and extraction of specific target sequences. This could include tasks such as identifying cellular barcodes and UMIs in single cell data, and specific genetic variants for genotyping. However, existing tools which perform these functions are often task-specific, such as only demultiplexing barcodes for a dedicated type of experiment, or are not tolerant to noise in the sequencing data. To overcome these limitations, we developed Flexiplex, a versatile and fast sequence searching and demultiplexing tool for omics data, which is based on the Levenshtein distance and thus allows imperfect matches. We demonstrate Flexiplexs application on three use cases, identifying cell line specific sequences in Illumina short-read single cell data, and discovering and demultiplexing cellular barcodes from noisy long-read single cell RNA-seq data. We show that Flexiplex achieves an excellent balance of accuracy and computational efficiency compared to leading task-specific tools. Flexiplex is available at https://davidsongroup.github.io/flexiplex/.

bioinformatics↗

bioRxiv2023

Neural signatures for temporal-order memory in the medial posterior parietal cortex

Episodic memory involves encoding and remembering the order of events experienced over time. Previous work examining the mechanisms of temporal-order memories has focused on the hippocampus and prefrontal cortices but has largely ignored the memory ensembles in the medial posterior parietal cortex (mPPC). Combining in vivo multi-unit electrophysiology and a temporal-order judgment task with cinematic material in the macaque, we find that mPPC neuronal activity reflects temporal context both during encoding and recall. During learning, mPPC neuronal ensembles encode the temporal information as well as contextual information embedded in the videos, whereas at retrieval these neurons fire in synchrony prior to memory-guided decisions. Moreover, the similarity between encoding and retrieval correlates with the animals performance. A control experiment further ruled out eye saccades, fixation, and scan path for their confounding roles in the neural results. Together, these data suggest that neurons in mPPC track the passage of time and contextual changes, thereby orchestrating for successful temporal-order memories at retrieval. SIGNIFICANCERemembering the temporal order of events is a vital function of the brain. This study provides the first evidence for the retrieval of temporal order of episodes at both single neuron and ensemble levels in the primate parietal cortex. The studys key breakthrough is the revelation that ensembles of time perceptive neurons, acting as "temporal context cells", can encode a spectrum of time constants and contexts for the experienced past and subsequently utilize this temporal record to discriminate the chronological order of past experiences. These results enhance theoretical frameworks for how encoded temporal past is maintained and reconstructed during memory retrieval.

neuroscience↗