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Zhou, H.

Publications and source records attributed to Zhou, H..

At least 415 records · Page 23Linked to original sources
bioRxiv2020

Repurposing Pyramax for the Treatment of Ebola Virus Disease: Additivity of the Lysosomotropic Pyronaridine and Non-Lysosomotropic Artesunate

We have recently identified three molecules (tilorone, quinacrine and pyronaridine tetraphosphate) which all demonstrated efficacy in the mouse model of infection with mouse-adapted Ebola virus (EBOV) model of disease and had similar in vitro inhibition of an Ebola pseudovirus (VSV-EBOV-GP), suggesting they interfere with viral entry. Using a machine learning model to predict lysosomotropism these compounds were evaluated for their ability to inhibit via a lysosomotropic mechanism in vitro. We now demonstrate in vitro that pyronaridine tetraphosphate is an inhibitor of Lysotracker accumulation in lysosomes (IC50 = 0.56 M). Further, we evaluated synergy between pyronaridine and artesunate (Pyramax(R)), which are used in combination to treat malaria. Artesunate was not found to have lysosomotropic activity in vitro and the combination effect on EBOV inhibition was shown to be additive. Pyramax(R) may represent a unique example of the repurposing of a combination product for another disease.

pharmacology and toxicology↗
bioRxiv2020

CREB1 contributes colorectal cancer cell plasticity by regulating lncRNA CCAT1 and NF-κB pathways

The CREB1 gene encodes a pleiotropic transcription factor that frequently dysregulated in cancers. CREB1 can regulates tumour cell status of proliferation or migration, however, the molecular basis for this switch involvement in cell plasticity has not been fully understood. Here, we show that knocking out CREB1 triggered a remarkable effect of epithelial-mesenchymal transition (EMT) and led to the occurrence of inhibited proliferation and enhanced motility in cancer cells. Mechanistically, CREB1-knockout cells showed arrest in the G0/G1 phase as a result of impaired CREB1-dependent transcription of CCAT1 and E2F1. Interestingly, the competition between the coactivator CBP/p300 for CREB1 and p65 leads to the activation of the NF-{kappa}B pathway in cells with CREB1 disrupted, which induces an EMT phenotype and enhances motility. These studies identified previously unknown mechanisms of CREB1 in cell plasticity via its lncRNA and protein effector pathways, revealing an important feature that should be considered in CREB1-targeted tumour therapies.

cell biology↗
bioRxiv2020

Introduction of the Aspergillus fumigatus α-1,2-mannosidase MsdS into Trichoderma reesei leads to abnormal polarity and improves the ligno-cellulose degradation

-1,2-Mannosidase is an important enzyme essential for N-glycan processing and plays a significant role in the biosynthesis and organization of fungal cell wall. Lacking of -1,2-mannosidase leads to cell wall defect in yeast and filamentous fungi. Trichoderma reesei is known to be non-toxic to human, and its N-glycan on secreted glycoprotein is Man8GlcNAc2. To evaluate the significance of the N-glycan processing in T. reesei, in this study Aspergillus fumigatus -1, 2-mannosidase MsdS, an enzyme that cleaves N-linked Man8GlcNAc2 in Golgi to produce Man6GlcNAc2 on secreted glycoprotein, was introduced into T. reesei. The msdS-expressing strain Tr-MsdS produced a major glycoform of Man6GlcNAc2 on its secreted glycoproteins, instead of Man8GlcNAc2 in the parent strain. Although the cell wall content of msdS-expressing strain Tr-MsdS was changed, it appeared that the cell wall integrity was not affected. However, phenotypes such as increased conidiation, multiple budding and random branching were observed in strain Tr-MsdS. In addition, expression of MsdS into T. ressei also affected protein secretion and improved the ligno-cellulose degradation of T. reesei. Our results indicate that processing of the N-glycan is species-specific and plays an important role in protein secretion in T. reesei, specially cellulases. Also, our results provide a new strategy to improve cellulases production by interfering the N-glycan processing in T. reesei. ImportanceFor the first time, the N-glycan processing is shown to play an important role in polarized growth and protein secretion in T. reesei. In addition, our results show that alterated N-glycan processing enhances cellulose degradation, which provides a strategy to improve cellulases production in T. reesei.

bioengineering↗
bioRxiv2020

Structure of intact human MCU supercomplex with the auxiliary MICU subunits

The mitochondrial Ca2+ uniporter (MCU) supercomplex is essential for mitochondrial Ca2+ uptake. Here, we present high-resolution cryo-EM structures of human MCU-EMRE supercomplex (MES, 3.41 [A]) and MCU-EMRE-MICU1-MICU2 supercomplex (MEMMS, 3.64 [A]). MES adopts a V-shaped dimer architecture comprising two hetero-octamers, and a pair of MICU1-MICU2 hetero-dimers form a bridge across the two halves of MES to constitute an O-shaped architecture of MEMMS. The MES and MEMMS pore profiles are almost identical, with Ca2+ in the selectivity filters and no obstructions, indicating both channels are conductive. Contrary to the current model in which MICUs block the MCU pore, MICU1-MICU2 dimers are located on the periphery of the MCU pores and do not occlude them. However, MICU1-MICU2 dimers may modulate MCU gating by affecting the matrix gate through the EMRE lever.

molecular biology↗
bioRxiv2020

Interpretable machine learning framework reveals novel gut microbiome features in predicting type 2 diabetes

Gut microbiome targets for type 2 diabetes (T2D) prevention among human cohorts have been controversial. Using an interpretable machine learning-based analytic framework, we identified robust human gut microbiome features, with their optimal threshold, in predicting T2D. Based on the results, we constructed a microbiome risk score (MRS), which was consistently associated with T2D across 3 independent Chinese cohorts involving 9111 participants (926 T2D cases). The MRS could also predict future glucose increment, and was correlated with a variety of gut microbiota-derived blood metabolites. Faecal microbiota transplantation from humans to germ-free mice demonstrated a causal role of the identified combination of microbes in the T2D development. We further identified adiposity and dietary factors which could prospectively modulate the MRS, and found that body fat distribution may be the key factor modulating the gut microbiome-T2D relationship. Taken together, we proposed a new analytical framework for the investigation of microbiome-disease relationship. The identified microbiota may serve as potential drug targets for T2D in future.

microbiology↗
bioRxiv2020

iCellR: Combined Coverage Correction and Principal Component Alignment for Batch Alignment in Single-Cell Sequencing Analysis

Under-sampling RNA molecules and low-coverage sequencing in some single cell sequencing technologies introduce zero counts (also known as drop-outs) into the expression matrices. This issue may complicate the processes of dimensionality reduction and clustering, often forcing distinct cell types to falsely resemble one another, while eliminating subtle, but important differences. Considering the wide range in drop-out rates from different sequencing technologies, it can also affect the analysis at the time of batch/sample alignment and other downstream analyses. Therefore, generating an additional harmonized gene expression matrix is important. To address this, we introduce two separate batch alignment methods: Combined Coverage Correction Alignment (CCCA) and Combined Principal Component Alignment (CPCA). The first method uses a coverage correction approach (analogous to imputation) in a combined or joint fashion between multiple samples for batch alignment, while also correcting for drop-outs in a harmonious way. The second method (CPCA) skips the coverage correction step and uses k nearest neighbors (KNN) for aligning the PCs from the nearest neighboring cells in multiple samples. Our results of nine scRNA-seq PBMC samples from different batches and technologies shows the effectiveness of both these methods. All of our algorithms are implemented in R, deposited into CRAN, and available in the iCellR package.

bioinformatics↗
bioRxiv2020

AfRip3, a RIP3-like kinase, is identified as a key modulator of necroptotic death in Aspergillus fumigatus

Aspergillus fumigatus exhibits autophagic and necroptotic process when its GPI anchor synthesis is suppressed. A putative kinase (AFUA_6G02590) is found to be overexpressed in response to GPI anchor suppression and identified as a RIP3-like protein, namely AfRip3. To elucidate its function, in this study a Afrip3-overexpressing strain OE-Afrip3 was constructed. Although OE-Afrip3 strain exhibited an increased cell death, neither apoptotic nor autophagic process was activated. Our evidences demonstrated that overexpression of Afrip3 gene in A. fumigatus only led to necroptosis, while the Afrip3-knockout mutant was unable to activate necroptotic process. Further analysis revealed that both JNK and SMase pathways were activated in OE-Afrip3 strain, by which an increase of reactive oxygen species (ROS) was induced. We also showed that expression of Afrip3 gene was induced by Ca2+. In addition, eEF1B{gamma} and adenylylsulfate kinase (ASK) were identified as potential candidates to interact with AfRip3. These results indicate that AfRip3 is a key modulator that activates necroptotic process in A. fumigatus, which can be induced by Ca2+ and in turn activate JNK (c-Jun NH2-terminal kinase) and SMase (sphingomyelinase) pathway. Our findings suggest that necroptotic pathway in A. fumigatus is distinct from that in mammalian cell and may provide a new strategy for development of anti-fungal drug. Author summaryAspergillus fumigatus is a human fungal pathogen and causes invasive aspergillosis (IA) in immunocompromised patients with high mortality (30-95%). Development of novel therapies is urgently needed. In this study, we confirm AfRip3 (AFUA_6G02590), a RIP3-like protein, is a key modulator that activates necroptotic process in A. fumigatus. We also find that cytosolic Ca2+ can induce the expression of Afrip3 and activated AfRip3 in turn activate JNK (c-Jun NH2-terminal kinase) and SMase (sphingomyelinase) pathway. Our findings suggest that necroptotic pathway in A. fumigatus is distinct from that in mammalian cell and may provide a new strategy for development of anti-fungal drug.

microbiology↗
bioRxiv2020

Pyronaridine Tetraphosphate Efficacy Against Ebola Virus Infection in Guinea Pig

The recent outbreaks of the Ebola virus (EBOV) in Africa have brought global visibility to the shortage of available therapeutic options to treat patients infected with this or closely related viruses. We have recently computationally identified three molecules which have all demonstrated statistically significant efficacy in the mouse model of infection with mouse adapted Ebola virus (ma-EBOV). One of these molecules is the antimalarial pyronaridine tetraphosphate (IC50 range of 0.82-1.30 {micro}M against three strains of EBOV and IC50 range of 1.01-2.72 {micro}M against two strains of Marburg virus (MARV)) which is an approved drug in the European Union and used in combination with artesunate. To date, no small molecule drugs have shown statistically significant efficacy in the guinea pig model of EBOV infection. Pharmacokinetics and range-finding studies in guinea pigs directed us to a single 300mg/kg or 600mg/kg oral dose of pyronaridine 1hr after infection. Pyronaridine resulted in statistically significant survival of 40% at 300mg/kg and protected from a lethal challenge with EBOV. In comparison, oral favipiravir (300 mg/kg dosed once a day) had 43.5 % survival. The in vitro metabolism and metabolite identification of pyronaridine and another of our EBOV active molecules, tilorone, which suggests significant species differences which may account for the efficacy or lack thereof, respectively in guinea pig. In summary, our studies with pyronaridine demonstrates its utility for repurposing as an antiviral against EBOV and MARV, providing justification for future testing in non-human primates. ImportanceThere is currently no antiviral small molecule drug approved for treating Ebola Virus infection. We have previously used machine learning models to identify new uses for approved drugs and demonstrated their activity against the Ebola virus in vitro and in vivo. We now describe the pharmacokinetic properties of the antimalarial pyronaridine in the guinea pig. In addition, we show that this drug is effective against multiple strains of EBOV and MARV in vitro and in the guinea pig model of Ebola virus infection. These combined efforts indicate the need to further test this molecule in larger animal efficacy studies prior to clinical use in humans. These findings also may be useful for repurposing this drug for use against other viruses in future.

pharmacology and toxicology↗
bioRxiv2020

O-GlcNAcylation of SAMHD1 Indicating a Link between Metabolic Reprogramming and Anti-HBV Immunity

Viruses hijack the host cell machinery to promote viral replication; however, the mechanism by which metabolic reprogramming regulates innate antiviral immunity in the host remains elusive. Herein, we found that Hepatitis B virus (HBV) infection upregulates glucose transporter 1expression, promotes hexosamine biosynthesis pathway (HBP) activity, and enhances O-linked {beta}-N-acetylglucosamine (O-GlcNAc) modification of downstream proteins. HBP-mediated O-GlcNAcylation positively regulates host antiviral response against HBV in vitro and in vivo. Mechanistically, O-GlcNAc transferase (OGT)-mediated O-GlcNAcylation of sterile alpha motif and histidine/aspartic acid domain-containing protein 1 (SAMHD1) on Ser93 stabilizes SAMHD1 and enhances its antiviral activity. In addition, O-GlcNAcylation of SAMHD1 promoted its antiviral activity against human immunodeficiency virus-1 in vitro. In conclusion, the results of our study reveal a link between HBP, O-GlcNAc modification, and innate antiviral immunity by targeting SAMHD1. Therefore, the results of this study demonstrate a strategy for the potential treatment of HBV infection by modulating HBP activity.

microbiology↗
bioRxiv2020

Structural basis for capsid recruitment and coat formation during HSV-1 nuclear egress

During herpesvirus infection, egress of nascent viral capsids from the nucleus is mediated by the viral nuclear egress complex (NEC). NEC deforms the inner nuclear membrane (INM) around the capsid by forming a hexagonal array. However, how the NEC coat interacts with the capsid and how curved coats are generated to enable budding is yet unclear. Here, by structure-guided truncations, confocal microscopy, and cryoelectron tomography, we show that binding of the capsid protein UL25 promotes the formation of NEC pentagons rather than hexagons. We hypothesize that during nuclear budding, binding of UL25 situated at the pentagonal capsid vertices to the NEC at the INM promotes formation of NEC pentagons that would anchor the NEC coat to the capsid. Incorporation of NEC pentagons at the points of contact with the vertices would also promote assembly of the curved hexagonal NEC coat around the capsid, leading to productive egress of UL25-decorated capsids.

microbiology↗
bioRxiv2020

Standardization and Harmonization of Distributed Multi-National Proteotype Analysis supporting Precision Medicine Studies

Cancer has no borders: Generation and analysis of molecular data across multiple centers worldwide is necessary to gain statistically significant clinical insights for the benefit of patients. Here we conceived and standardized a proteotype data generation and analysis workflow enabling distributed data generation and evaluated the quantitative data generated across laboratories of the international Cancer Moonshot consortium. Using harmonized mass spectrometry (MS) instrument platforms and standardized data acquisition procedures, we demonstrated robust, sensitive, and reproducible data generation across eleven sites in nine countries on seven consecutive days in a 24/7 operation mode. The data presented from the high-resolution MS1-based quantitative data-independent acquisition (HRMS1-DIA) workflow shows that coordinated proteotype data acquisition is feasible from clinical specimens using such standardized strategies. This work paves the way for the distributed multi-omic digitization of large clinical specimen cohorts across multiple sites as a prerequisite for turning molecular precision medicine into reality.

molecular biology↗
bioRxiv2020

Excessive Polyamine Generation in Keratinocytes Promotes Self-RNA Endosomal Sensing by Dendritic Cells in Psoriasis

The mechanisms underlying tissue-specific chronic inflammation are elusive. Here we report that mice lacking Protein Phosphatase 6 in keratinocytes are predisposed to psoriasis-like skin inflammation, with an inordinate urea cycle and enhanced oxidative phosphorylation that supports hyperproliferation. This phenotype is mediated by increased Arginase-1 production resulting from CCAAT/enhancer-binding protein beta activation. Single-cell RNA-seq of the psoriatic epidermis revealed that the rate-limiting enzyme for Arginine biosynthesis, Argininosuccinate synthetase 1, maintains the Arginine pool, which is indispensable for immune responses. Accumulated polyamines branched from the urea cycle promote endosomal Tlr7-dependent self-RNA sensing by myeloid dendritic cells. This process is achieved with the assistance of an RNA-binding peptide that originates from the heterogeneous nuclear ribonucleoprotein A1, a probable autoantigen in psoriasis. Finally, targeting urea cycle wiring with an arginase inhibitor markedly improved skin inflammation in murine and non-human primate models of psoriasis. Our findings suggest that urea cycle alteration and excessive polyamine production by psoriatic keratinocytes promote self-RNA sensing by dendritic cells, which links the hyperproliferation of stationary cells with innate-immune activation in an auto-inflammatory condition.

immunology↗
bioRxiv2020

A novel bat coronavirus reveals natural insertions at the S1/S2 cleavage site of the Spike protein and a possible recombinant origin of HCoV-19

The unprecedented epidemic of pneumonia caused by a novel coronavirus, HCoV-19, in China and beyond has caused public health concern at a global scale. Although bats are regarded as the most likely natural hosts for HCoV-191,2, the origins of the virus remain unclear. Here, we report a novel bat-derived coronavirus, denoted RmYN02, identified from a metagenomics analysis of samples from 227 bats collected from Yunnan Province in China between May and October, 2019. RmYN02 shared 93.3% nucleotide identity with HCoV-19 at the scale of the complete virus genome and 97.2% identity in the 1ab gene in which it was the closest relative of HCoV-19. In contrast, RmYN02 showed low sequence identity (61.3%) to HCoV-19 in the receptor binding domain (RBD) and might not bind to angiotensin-converting enzyme 2 (ACE2). Critically, however, and in a similar manner to HCoV-19, RmYN02 was characterized by the insertion of multiple amino acids at the junction site of the S1 and S2 subunits of the Spike (S) protein. This provides strong evidence that such insertion events can occur in nature. Together, these data suggest that HCoV-19 originated from multiple naturally occurring recombination events among those viruses present in bats and other wildlife species.

microbiology↗
bioRxiv2020

Expanding the Coverage of the Metabolic Landscape in Cultivated Rice with Integrated Computational Approaches

Genome-scale metabolomics analysis is increasingly used for pathway and function discovery in post-genomics era. The great potential offered by developed mass spectrometry (MS)-based technology has been hindered by the obstacle that only a small portion of detected metabolites were identifiable so far. To address the critical issue of low identification coverage in metabolomics, we adopted a deep metabolomics analysis strategy by integrating advanced algorithms and expanded reference databases. The experimental reference spectra, and in silico reference spectra were adopted to facilitate the structural annotation. To further characterize the structure of metabolites, two approaches, structural motif search combined with neutral loss scanning, and metabolite association network were incorporated into our strategy. An untargeted metabolomics analysis was performed on 150 rice cultivars using Ultra Performance Liquid Chromatography (UPLC)-Quadrupole (Q)-Orbitrap mass spectrometer. 1939 of 4491 metabolite features in MS/MS spectral tag (MS2T) library were annotated, representing an extension of annotation coverage by an order of magnitude on rice. The differential accumulation patterns of flavonoids between indica and japonica cultivars were revealed, especially O-sulfated flavonoids. A series of closely-related flavonolignans were characterized, adding further evidence for the crucial role of tricin-oligolignols in lignification. Our study provides a great template in the exploration of phytochemical diversity for more plant species.

bioinformatics↗
bioRxiv2020

Prediction of Protein-Protein Interactions Based on L1-Regularized Logistic Regression and Gradient Tree Boosting

Protein-protein interactions (PPIs) are of great importance to understand genetic mechanisms, disease pathogenesis, and guide drug design. With the increase of PPIs sequence data and development of machine learning, the prediction and identification of PPIs have become a research hotspot in proteomics. In this paper, we propose a new prediction pipeline for PPIs based on gradient tree boosting (GTB). First, the initial feature vector is extracted by fusing pseudo amino acid composition (PseAAC), pseudo-position-specific scoring matrix (PsePSSM), reduced sequence and index-vectors (RSIV) and autocorrelation descriptor (AD). Second, to remove redundancy and noise, we employ L1-regularized logistic regression to select an optimal feature subset. Finally, GTB-PPI model based on GTB is constructed. Five-fold cross-validation showed GTB-PPI achieved the accuracies of 95.15% and 90.47% on Saccharomyces cerevisiae and Helicobacter pylori, respectively. In addition, GTB-PPI could be applied to predict Caenorhabditis elegans, Escherichia coli, Homo sapiens, and Mus musculus independent test sets, the one-core PPIs network for CD9, and the crossover PPIs network. The results show that GTB-PPI can significantly improve prediction accuracy of PPIs. The code and datasets of GTB-PPI can be downloaded from https://github.com/QUST-AIBBDRC/GTB-PPI/.

bioinformatics↗
bioRxiv2020

Metabolites alleviate staphylococcal bloodstream infection in a NO-dependent manner via arginase inhibition

Staphylococcus aureus is a notorious bacterial pathogen that often causes soft tissue and bloodstream infections and invariably garners resistance mechanisms against new antibiotics. Host innate immunity modulated by metabolites has been proved as a powerful strategy against bacterial infections. However, few studies focus on the application of this strategy against S. aureus infection. Here, we identified four metabolite biomarkers, L-proline, L-isoleucine, L-leucine, and L-valine (PILV), by a metabolomics study. In animal models of S. aureus bloodstream infection, exogenous administration of each metabolite or PILV shows an anti-infective effect, while PILV treatment has higher protection than individual metabolite treatment. Each metabolite targets nitric oxide (NO) to kill S. aureus via arginase inhibition, and PILV exhibits additive inhibition of arginase activity that causes further killing. This suppression also contributes to the metabolite-mediated phagocytic killing of S. aureus in human blood. Our finding demonstrates the metabolite-mediated innate immunity as a therapeutic intervention for S. aureus infection.

microbiology↗
bioRxiv2020

Mutations, Recombination and Insertion in the Evolution of 2019-nCoV

BackgroundThe 2019 novel coronavirus (2019-nCoV or SARS-CoV-2) has spread more rapidly than any other betacoronavirus including SARS-CoV and MERS-CoV. However, the mechanisms responsible for infection and molecular evolution of this virus remained unclear. MethodsWe collected and analyzed 120 genomic sequences of 2019-nCoV including 11 novel genomes from patients in China. Through comprehensive analysis of the available genome sequences of 2019-nCoV strains, we have tracked multiple inheritable SNPs and determined the evolution of 2019-nCoV relative to other coronaviruses. ResultsSystematic analysis of 120 genomic sequences of 2019-nCoV revealed co-circulation of two genetic subgroups with distinct SNPs markers, which can be used to trace the 2019-nCoV spreading pathways to different regions and countries. Although 2019-nCoV, human and bat SARS-CoV share high homologous in overall genome structures, they evolved into two distinct groups with different receptor entry specificities through potential recombination in the receptor binding regions. In addition, 2019-nCoV has a unique four amino acid insertion between S1 and S2 domains of the spike protein, which created a potential furin or TMPRSS2 cleavage site. ConclusionsOur studies provided comprehensive insights into the evolution and spread of the 2019-nCoV. Our results provided evidence suggesting that 2019-nCoV may increase its infectivity through the receptor binding domain recombination and a cleavage site insertion. One Sentence SummaryNovel 2019-nCoV sequences revealed the evolution and specificity of betacoronavirus with possible mechanisms of enhanced infectivity.

microbiology↗
bioRxiv2020

Artesunate interacts with Vitamin D receptor to reverse mouse model of sepsis-induced immunosuppression via enhancing autophagy

Background and PurposeImmunosuppression is the predominant cause of mortality for sepsis due to failure to eradicate invading pathogens. Unfortunately, no effective and specific drugs capable of reversing immunosuppression are available for clinical use. Increasing evidence implicates vitamin D receptor (VDR) involved in sepsis-induced immunosuppression. Herein, artesunate (AS) was discovered to reverse sepsis-induced immunosuppression and its molecular mechanism is investigated. Experimental ApproachEffect of artesunate on sepsis-induced immunosuppression was investigated in mice and in vitro. VDR was predicted to be an interacted candidate of AS by bioinformatics predict, then identified using PCR and immunoblotting. VDR, ATG16L1 and NF-{kappa}B p65 were modified to investigate the alteration of ASs effect on pro-inflammatory cytokines release, bacteria clearance and autophagy activities in sepsis-induced immunosuppression. Key ResultsAS significantly reduced the mortality of cecal ligation and puncture (CLP)-induced sepsis immunosuppression mice challenged with Pseudomonas Aeruginosa, and enhanced proinflammatory cytokines release and bacterial clearance to reverse sepsis-induced immunosuppression in vivo and in vitro. Mechanically, AS interacted with VDR thereby inhibited the nuclear translocation of VDR, then influencing ATG16L1 transcription and subsequent autophagy activity. In addition, AS inhibited physical interaction between VDR and NF-{kappa}B p65 in LPS tolerance macrophages, then promoted nuclear translocation of NF-{kappa}B p65, which activated the transcription of NF-{kappa}B p65 target genes such as pro-inflammatory cytokines. Conclusion and ImplicationsOur findings provide an evidence that AS interacted with VDR to reverse sepsis-induced immunosuppression in an autophagy and NF-{kappa}B dependent way, highlighting a novel approach for sepsis treatment and drug repurposing of AS in the future.

pharmacology and toxicology↗