Biology subjects

Wu, J.

Publications and source records attributed to Wu, J..

At least 505 records · Page 28Linked to original sources

bioRxiv2023

Endothelial cell-derived lactate triggers mesenchymal stem cell histone lactylation to attenuate osteoporosis

Blood vessels play a role in osteogenesis and osteoporosis; however, the role of vascular metabolism is unclear. The present study found that ovariectomized mice exhibit reductions in bone blood vessel density and expression of endothelial glycolytic regulator pyruvate kinase M2 (PKM2). Additional data showed that endothelial cell (EC)-specific deletion of Pkm2 impair osteogenesis and worsen osteoporosis in mice. This was attributed to the impaired differentiation ability toward osteoblast of bone mesenchymal stem cells (BMSCs). Mechanistically, EC-specific deletion of Pkm2 reduce serum lactate levels secreted by ECs, which affect histone lactylation of BMSCs. We identified collagen type I alpha 2 chain, cartilage oligomeric matrix protein, ectonucleotide pyrophosphatase/phosphodiesterase 1, and transcription factor 7 like 2 as histone H3K18 lactylation-regulated osteogenic genes using joint CUT&Tag and RNA-sequencing analyses. The overexpression of PKM2 in ECs, addition of lactate, and exercise were observed to restore the phenotype of endothelial Pkm2-deficient mice. Furthermore, metabolomics of the serum indicated that osteoporosis patients showed a relatively low lactate level. The histone lactylation and related osteogenic genes of BMSCs in osteoporosis patients also decreased. In conclusion, the glycolysis of ECs fuels the differentiation of BMSCs into osteoblasts through histone lactylation, and exercise partially ameliorates osteoporosis through increased serum lactate.

cell biology↗

bioRxiv2023

Interaction Between HCN and Slack Channels Regulates mPFC Pyramidal Cell Excitability and Working Memory

The ability of monkeys and rats to carry out spatial working memory tasks has been shown to depend on the persistent firing of pyramidal cells in the prefrontal cortex (PFC), arising from recurrent excitatory connections on dendritic spines. These spines express hyperpolarization-activated cyclic nucleotide-gated (HCN) channels whose open state is increased by cAMP signaling, and which markedly alter PFC network connectivity and neuronal firing. In traditional neural circuits, activation of these non-selective cation channels leads to neuronal depolarization and increased firing rate. Paradoxically, cAMP activation of HCN channels in PFC pyramidal cells reduces working memory-related neuronal firing. This suggests that activation of HCN channels may hyperpolarize rather than depolarize these neurons. The current study tested the hypothesis that Na+ influx through HCN channels activates Na+-activated K+ (KNa or Slack) channels to hyperpolarize the membrane. We have found that HCN and Slack KNa channels co-immunoprecipitate in cortical extracts and that, by immunoelectron microscopy, they colocalize at postsynaptic spines of PFC pyramidal neurons. A specific blocker of HCN channels, ZD7288, reduces KNa current in pyramidal cells that express both HCN and Slack channels, indicating that blockade of HCN channels reduced K+ current indirectly by lowering Na+ influx. In contrast, ZD7288 has no effect on KNa currents in an HEK cell line stably expressing this Slack channels but no HCN channels, demonstrating that ZD7288 does not block Slack channels directly. Activation of HCN channels by cAMP in a cell line expressing a Ca2+ reporter results in elevation of cytoplasmic Ca2+, but the effect of cAMP is completely reversed if the HCN channels are co-expressed with Slack channels. Finally, we have used a novel pharmacological blocker of Slack channels to show that inhibition of either Slack or HCN channels in rat PFC improves working memory performance, and that the actions of Slack and HCN channel blockers occlude each other in the memory task. Our results suggest that the regulation of working memory by HCN channels in PFC pyramidal neurons is mediated by an HCN-Slack channel complex that links activation HCN channels to suppression of neuronal excitability.

neuroscience↗

bioRxiv2023

OsNLP3/4-OsRFL module regulates nitrogen-promoted panicle architecture in rice

Rice panicles, a major component of yield, are regulated by phytohormones and nutrients. How mineral nutrients promote panicle architecture remains largely unknown. Here, we report that NIN-LIKE PROTEIN3 and 4 (OsNLP3/4) are crucial positive regulators of rice panicle architecture in response to nitrogen (N). Loss-of- function mutants of either OsNLP3 or OsNLP4 produced smaller panicles with reduced primary and secondary branches and fewer grains compared with wild type, whereas their overexpression plants showed the opposite phenotypes. Notably, the OsNLP3/4-regulated panicle architecture was positively correlated with N availability. OsNLP3/4 directly bind to the promoter of OsRFL and activate its expression to promote inflorescence meristem development. Furthermore, OsRFL activates OsMOC1 expression by binding to its promoter. Our findings reveal the novel N- responsive OsNLP3/4-OsRFL-OsMOC1 module that integrates N availability to regulate panicle architecture, shedding light on how nutrient signals regulate panicle architecture and providing candidate targets for the improvement of crop yield.

plant biology↗

bioRxiv2023

Balanced nitrogen-iron nutrition boosts grain yield and nitrogen use efficiency in rice and wheat

Nutrients must be balanced for optimal plant growth. However, the potential significance of balanced nitrogen-iron (N-Fe) for improving crop yield and nitrogen use efficiency (NUE) has never been addressed. Here, we show that balanced N-Fe substantially increases tiller number and boosts yield and NUE in rice and wheat. NIN-like protein 4 plays a pivotal role in maintaining the N-Fe balance by coordinately regulating the expression of multiple genes in N and Fe metabolism and signaling. Moreover, we show that foliar spraying of balanced N-Fe at the tillering stage can effectively increase rice tillers, yield and NUE in the field, which can be reproduced with wheat. Our findings provide guidelines for innovative fertilization to reduce N fertilizer input and promote yield, thus benefitting environment-friendly and sustainable agriculture worldwide.

plant biology↗

bioRxiv2023

Zero-shot learning enables instant denoising and super-resolution in optical fluorescence microscopy

Computational super-resolution (SR) methods, including conventional analytical algorithms and deep learning models, have substantially improved optical microscopy. Among them, supervised deep neural networks have demonstrated outstanding SR performance, however, demanding abundant high-quality training data, which are laborious and even impractical to acquire due to the high dynamics of living cells. Here, we develop zero-shot deconvolution networks (ZS-DeconvNet) that instantly enhance the resolution of microscope images by more than 1.5-fold over the diffraction limit with 10-fold lower fluorescence than ordinary SR imaging conditions in an unsupervised manner without the need for either ground truths or additional data acquisition. We demonstrate the versatile applicability of ZS-DeconvNet on multiple imaging modalities, including total internal reflection fluorescence microscopy, three-dimensional (3D) wide-field microscopy, confocal microscopy, lattice light-sheet microscopy, and multimodal structured illumination microscopy (SIM), which enables multi-color, long-term, super-resolution 2D/3D imaging of subcellular bioprocesses from mitotic single cells to multicellular embryos of mouse and C. elegans.

bioengineering↗

bioRxiv2023

DeepTAP: an RNN-based method of TAP-binding peptide prediction in the selection of tumor neoantigens

The transport of antigenic peptides from cytoplasm to the endoplasmic reticulum (ER) via transporter associated with antigen processing (TAP) is a critical step during the presentation of tumor neoantigens. The application of computational approaches significantly speed up the analysis of this biological process. Here, we present a tool named DeepTAP for TAP-binding peptide prediction, which employs a sequence-based multilayered recurrent neural network (RNN). Compared with traditional machine learning and other available prediction tools, DeepTAP achieves state-of-the-art performance on the benchmark datasets. The source code and dataset of DeepTAP are available freely via GitHub at https://github.com/zjupgx/DeepTAP.

bioinformatics↗

bioRxiv2023

Comprehensive Multi-omics Analysis Reveals the Core Role of Glycerophospholipid Metabolism in Rheumatoid Arthritis Development

ObjectivesRheumatoid arthritis (RA) is a chronic autoimmune disease with complex causes and recurrent attacks that can easily develop into chronic arthritis. Our study aims to elucidate potential mechanism among control, new-onset RA (NORA) and chronic RA (CRA) with multi-omics analysis. MethodsA total of 162 subjects were included in our study, 121 subjects were used for 16S rRNA, ITS sequencing and metabolomics analysis and 41 subjects were used for transcriptomics analysis. Enrichment analysis was based on significant difference metabolites and genes. Protein-protein interaction network and correlation analyses were performed to interpret the interactions among intestinal flora, metabolites and genes. We applied three models to distinguish between NORA and CRA using computational OR values, LASSO and random forest, respectively. ResultsOur results demonstrated intestinal flora disturbance in RA development, with significantly increased abundance of Escherichia-Shigella and Proteobacteria in NORA. We also found that the diversity was significantly reduced in CRA compared to NORA through fungi analysis. Moreover, we identified 28 differential metabolites between NORA and CRA. Pathway enrichment analysis revealed significant dysregulation of glycerophospholipid metabolism and phenylalanine metabolism pathways in RA patients. Next, we identified 40 differentially expressed genes between NORA and CRA, which acetylcholinesterase (ACHE) was the core gene and significantly enriched in glycerophospholipid metabolism pathway. Correlation analysis showed a strong negatively correlation between glycerophosphocholine and inflammatory characteristics. ConclusionsThese findings revealed that glycerophospholipid metabolism plays a crucial role in the development and progression of RA, providing new ideas for early clinical diagnosis and optimizing treatment strategies.

immunology↗

bioRxiv2023

Disease-causing Slack potassium channel mutations produce opposite effects on excitability of excitatory and inhibitory neurons

KCNT1 encodes the sodium-activated potassium channel Slack (KCNT1, KNa1.1), an important mediator of neuronal membrane excitability. Gain-of-function (GOF) mutations in humans lead cortical network hyperexcitability and seizures, as well as very severe intellectual disability. Using a mouse model of Slack GOF-associated epilepsy, we found that both excitatory and inhibitory neurons of the cerebral cortex have increased Na+-dependent K+ (KNa) currents and voltage-dependent sodium (NaV) currents. The characteristics of the increased KNa currents were, however, different in the two cell types such that the intrinsic excitability of excitatory neurons was enhanced but that of inhibitory neurons was suppressed. We further showed that the expression of NaV channel subunits, particularly that of NaV1.6, is upregulated and that the length of the axon initial segment (AIS) and of axonal NaV immunostaining is increased in both neuron types. We found that the proximity of the AIS to the soma is shorter in excitatory neurons than in inhibitory neurons of the mutant animals, potentially contributing to the different effects on membrane excitability. Our study on the coordinate regulation of KNa currents and the expression of NaV channels may provide a new avenue for understanding and treating epilepsies and other neurological disorders. In briefIn a genetic mouse model of Na+-activated K+ potassium channel gene Slack-related childhood epilepsy, Wu et al. show that a disease-causing gain-of-function (GOF) mutation R455H in Slack channel causes opposite effects on excitability of cortical excitatory and inhibitory neurons. In contrast to heterologous expression systems, they find that the increase in potassium current substantially alters the expression of sodium channel subunits, resulting in increased lengths of axonal initial segments. HighlightsGOF mutations in Slack potassium channel cause elevated outward K+currents and inward voltage-dependent Na+ (NaV) currents in cortical neurons Slack GOF does not alter the expression of Slack channel but upregulates the expression of NaV channel Slack GOF enhances the excitability of excitatory neurons but suppresses the firing of inhibitory interneurons Slack GOF alters the length of AIS in both excitatory and inhibitory neurons Proximity of AIS to the soma is different between excitatory neuron and inhibitory neuron

neuroscience↗

bioRxiv2023

LEA: Latent Eigenvalue Analysis in application to high-throughput phenotypic profiling

Modeling heterogeneous disease states by data-driven methods has great potential to advance biomedical research. However, a comprehensive analysis of phenotypic heterogeneity is often challenged by the complex nature of biomedical datasets and emerging imaging methodologies. Here, we propose a novel GAN Inversion-enabled Latent Eigenvalue Analysis (GILEA) framework and apply it to phenome profiling and editing. As key use cases for fluorescence and natural imaging, we demonstrate the power of GILEA using publicly available SARS-CoV-2 datasets stained with the multiplexed fluorescence cell-painting protocol as well as real-world medical images of common skin lesions captured by dermoscopy. The quantitative results of GILEA can be biologically supported by editing latent representations and simulating dynamic phenotype transitions between physiological and pathological states. In conclusion, GILEA represents a new and broadly applicable approach to the quantitative and interpretable analysis of biomedical image data. The GILEA code and video demos are publicly available at https://github.com/CTPLab/GILEA.

bioinformatics↗

bioRxiv2023

Targeting GDF15 as a potential therapy for low back pain originating from endplate

The overactivation of osteoclasts in the endplate is one of the most important causes of low back pain (LBP) originating from endplate. Transforming growth factor-{beta} family has been demonstrated to play an important role during osteoclast differentiation. GDF15 was reported to participate in several pathological states. In this study, we reported that the lumbar spine instability (LSI) induced the overactivation of osteoclasts and CD31hiEmcnhi endothelial vessels in the bony endplate. In addition, the expression of GDF15 in human disc samples and mice models were also increased. GDF15 could promote the fusion of preosteoclasts via Rac1/Cdc42/PAK/Cofilin axis, and facilitate the angiogenesis via the secretion of PDGF-BB. Furthermore, we proved that the GDF15 inhibitor, CTL-002 could reduce the expression of GDF15 in the endplate and alleviate the overactivation of osteoclasts and CD31hiEmcnhi endothelial vessels induced by LSI in vivo. In conclusion, we demonstrated that GDF15 could regulates the fusion of preosteoclasts and targeting GDF15 in the endplate served as a novel anabolic therapy for low back pain treatment.

cell biology↗

bioRxiv2023

Genomic adaptation of giant viruses in polar oceans

Despite being perennially frigid, polar oceans form an ecosystem hosting high and unique biodiversity. Various organisms show different adaptative strategies in this habitat, but how viruses adapt to this environment is largely unknown. Viruses of phyla Nucleocytoviricota and Mirusviricota are groups of eukaryote-infecting large and giant DNA viruses with genomes encoding a variety of functions. Here, by leveraging the Global Ocean Eukaryotic Viral database, we investigate the biogeography and functional repertoire of these viruses at a global scale. We first confirm the existence of an ecological barrier that clearly separates polar and nonpolar viral communities, and demonstrate that temperature drives dramatic changes in the virus-host network at the polar/nonpolar boundary. Ancestral niche reconstruction suggests that adaptation of these viruses to polar conditions has occurred repeatedly over the course of evolution, with polar-adapted viruses in the modern ocean being scattered across their phylogeny. Numerous viral genes are specifically associated with polar adaptation, although most of their homologues are not identified as polar-adaptive genes in eukaryotes. These results suggest that giant viruses adapt to cold environments by changing their functional repertoire, and this viral evolutionary strategy is independent of the polar adaptation of their hosts.

microbiology↗

bioRxiv2023

Epoxyeicosatrienoic acids and sEH inhibition prevent cardiac dysfunction in CVB3-induced myocarditis by positively regulating type I interferon signaling

Myocarditis is a challenging inflammatory disease of the heart and better understanding of its etiology is needed to develop specific drug therapies. Epoxyeicosatrienoic acids (EETs), active molecules synthesized by cytochrome P450 enzymes from arachidonic acids and hydrolyzed to less active dihydroxyeicosatrienoic acids by soluble epoxide hydrolase (sEH), have been attributed anti-inflammatory activity. Here, we investigated whether EETs have immunomodulatory activity and exert protective effects on coxsackie B3 virus (CVB3)-induced myocarditis. Viral infection altered eicosanoid epoxide and diol levels in both patients with myocarditis and, in the murine heart, and correlated with the increased expression and activity of the sEH after CVB3 infection. Administration of a sEH inhibitor prevented CVB3-induced cardiac dysfunction and inflammatory infiltration. Importantly, EET/sEH inhibitor treatment attenuated vial infection/ improved viral resistance by activating type I interferon (IFN) signaling. At the molecular level, EETs enhanced the interaction between glycogen synthase kinase 3{beta} (GSK3{beta}) and TANK-binding kinase 1 (TBK1) to promote IFN-{beta} production. Our findings revealed that EETs and sEH inhibitors prevent the progress of CVB3-induced myocarditis, particularly by promoting viral resistance by increasing IFN production.

immunology↗

bioRxiv2023

Differential exon usage and cryptic exon profiles of TDP-43 loss of function in amyotrophic lateral sclerosis brain tissue

TDP-43 dysfunction is a molecular hallmark of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). A major hypothesis of TDP-43 dysfunction in disease is the loss of normal nuclear function, resulting in impaired RNA regulation and the emergence of cryptic exons. Cryptic exons and exon changes are emerging as promising markers of lost TDP-43 function in addition to revealing biological pathways involved in neurodegeneration in ALS/FTD. In this brief report, we identified markers of TDP-43 loss of function by depleting TARDBP from post-mortem human brain pericytes, a manipulable in vitro primary human brain cell model, and identifying differential exon usage events with bulk RNA-sequencing analysis. We present these data in an interactive database (https://www.scotterlab.auckland.ac.nz/research-themes/tdp43-lof-db-v2/) together with seven other TDP-43-depletion datasets we meta-analysed previously, for user analysis of differential expression and splicing signatures. Differential exon usage events that were validated by qPCR were then compiled into a differential exon usage panel with other well-established TDP-43 loss-of-function exon markers. This differential exon usage panel was investigated in ALS and control motor cortex tissue to verify whether, and to what extent, TDP-43 loss of function occurs in ALS. We find that profiles of TDP-43-regulated cryptic exons and changed exon usage discriminate ALS brain tissue from controls, verifying TDP-43 loss of function as a pathomechanism in ALS. We propose that TDP-43-regulated splicing markers with most predictive value for therapeutic intervention will be those based on splicing events that occur both in tissues/biofluids amenable to sampling, and in brain tissue susceptible to disease.

neuroscience↗

bioRxiv2023

Integrates JA and ethylene signals in defense against brown spot disease: the role of NaWRKY70

Production of phytoalexins scopoletin and scopolin is regulated by jasmonate (JA) and ethylene signals in Nicotiana species in response to Alternaria alternata, the necrotrophic fungal pathogen causing brown spot disease. However, how these two signals are coordinated to control this process remains unclear. Here, we found that levels of these two phytoalexins and transcripts of their key enzyme gene feruloyl-CoA 6-hydroxylase 1 (NaF6H1) were synergistically induced in wild tobacco N. attenuata by co-treatments of methyl jasmonate (MeJA) and ethephon, but were not altered by treatments with either MeJA or ethephon along. Through co-expression and functional analysis we identified NaWRKY70 as the key regulator for this synergistic induction. NaWRKY70 not only directly bound to NaF6H1 promoter and activated its expression but also served as a regulation node to integrate JA and ethylene signals. Acting like locks, NaJAZe1, NaJAZe2 and NaEBF2 interacted with NaWRKY70 separately to suppress NaF6H1 expression. Meanwhile, NaMYC2b and NaEIN3-like 1functioned as transcription regulators of NaWRKY70 and activated of NaF6H1 expression by protein interaction with NaWRKY70. Finally, NaWRKY70 controlled JA-Ile production by binding and activating its biosynthetic genes. Thus, our data uncovers a novel but complicate regulation network of phytoalexins by two phytohormonal signals, and demonstrates that NaWRKY70 integrates both JA and ethylene signals through transcriptional regulation and protein interaction to regulate scopoletin and scopolin biosynthesis and plant resistance to A. alternata.

plant biology↗

bioRxiv2023

Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex

Mammalian cortex features a vast diversity of neuronal cell types, each with characteristic anatomical, molecular and functional properties. Synaptic connectivity powerfully shapes how each cell type participates in the cortical circuit, but mapping connectivity rules at the resolution of distinct cell types remains difficult. Here, we used millimeter-scale volumetric electron microscopy1 to investigate the connectivity of all inhibitory neurons across a densely-segmented neuronal population of 1352 cells spanning all layers of mouse visual cortex, producing a wiring diagram of inhibitory connections with more than 70,000 synapses. Taking a data-driven approach inspired by classical neuroanatomy, we classified inhibitory neurons based on the relative targeting of dendritic compartments and other inhibitory cells and developed a novel classification of excitatory neurons based on the morphological and synaptic input properties. The synaptic connectivity between inhibitory cells revealed a novel class of disinhibitory specialist targeting basket cells, in addition to familiar subclasses. Analysis of the inhibitory connectivity onto excitatory neurons found widespread specificity, with many interneurons exhibiting differential targeting of certain subpopulations spatially intermingled with other potential targets. Inhibitory targeting was organized into "motif groups," diverse sets of cells that collectively target both perisomatic and dendritic compartments of the same excitatory targets. Collectively, our analysis identified new organizing principles for cortical inhibition and will serve as a foundation for linking modern multimodal neuronal atlases with the cortical wiring diagram.

neuroscience↗

bioRxiv2023

An efficient context-aware approach for whole slide image classification

Computational pathology for gigapixel whole slide images (WSIs) at slide-level is helpful in disease diagnosis and remains challenging. We propose a context-aware approach termed WSI Inspection via Transformer (WIT) for slide-level classification via holistically modeling dependencies among patches on the WSI. WIT automatically learns feature representation of WSI by aggregating features of all image patches. We evaluate classification performance of WIT along with state-of-the-art baseline method. WIT achieved an accuracy of 82.1% (95% CI, 80.7% - 83.3%) in the detection of 32 cancer types on the TCGA dataset, 0.918 (0.910 - 0.925) in diagnosis of cancer on the CPTAC dataset and 0.882 (0.87 - 0.890) in the diagnosis of prostate cancer from needle biopsy slide, outperforming the baseline by 31.6%, 5.4% and 9.3%, respectively. WIT can pinpoint the WSI regions that are most influential for its decision. WIT represents a new paradigm for computational pathology, facilitating the development of effective tools for digital pathology.

pathology↗

bioRxiv2023

Activation-induced cytidine deaminase-based in vivo continuous evolution system enables rapid protein engineering

Directed evolution is a powerful tool to modify the properties of proteins. However, due to multi-round and stage combinations, directed evolution usually requires time- and labor-intensive manual intervention, which limits the efficiency of protein modification to some extent. Therefore, in vivo continuous evolution system is highly preferred because it can couple the multiple rounds and steps of direction evolution with the host growth cycle, leading to the advantages of effort-saving and accuracy. However, the existing types of this kind of systems can not meet the booming demand. Herein, this paper describes promoted Escherichia coli-assisted continuous evolution (PEACE) that allows for in vivo continuous evolution of target genes. This system polymorphisms the target gene by activation-induced cytidine deaminase-T7 RNA polymerase (AID-T7 PNAP) fusion protein, then it couples the enzymatic properties of desired variants with the expression of antitoxins to achieve efficient growth-coupled screen using the toxin-antitoxin system (TAS). In this study, T7 RNAP was finally employed for validation of PEACE system, and its specificity to the promoter was successfully altered. These results demonstrated the feasibility and further application potential of PEACE.

molecular biology↗

bioRxiv2023

A human iPSC-based in vitro neural network formation assay to investigate neurodevelopmental toxicity of pesticides

Proper brain development is based on the orchestration of key neurodevelopmental processes, including the formation and function of neural networks. If at least one key neurodevelopmental process is affected by a chemical, an adverse outcome is expected. To allow a higher testing throughput than the guideline animal experiments, a developmental neurotoxicity (DNT) in vitro testing battery (DNT IVB) has been set up that includes a variety of assays, which model several key neurodevelopmental processes. Gap analyses of the DNT IVB revealed the need of a human-based assay to assess neural network formation and function (NNF). Therefore, here we established the human NNF (hNNF) assay. A co-culture comprised of human-induced pluripotent stem cell (hiPSC)- derived excitatory and inhibitory neurons, as well as primary human astroglia, was differentiated for 35 days on micro-electrode arrays (MEA) and spontaneous electrical activity, together with cytotoxicity, was assessed on a weekly basis after washout of the compounds 24 h prior to measurements. In addition to the characterization of the test system, the assay was challenged with 28 compounds, mainly pesticides, identifying their DNT potential by evaluation of specific spike-, burst- and network parameters. This approach confirmed the suitability of the assay for screening environmental chemicals. Comparison of benchmark concentrations (BMC) with an NNF in vitro assay (rNNF) based on primary rat cortical cells, revealed differences in sensitivity. Together with the successful implementation of hNNF data into a postulated stressor-specific adverse outcome pathway (AOP) network associated with a plausible molecular initiating event for deltamethrin, this study suggests the hNNF assay as a useful complement to the current DNT IVB.

pharmacology and toxicology↗