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Ye, C.

Publications and source records attributed to Ye, C..

At least 145 records · Page 8Linked to original sources

Ambroxol and Ciprofloxacin Show Activity Against SARS-CoV2 in Vero E6 Cells at Clinically-Relevant Concentrations

We studied the activity of a range of weakly basic and moderately lipophilic drugs against SARS CoV2 in Vero E6 cells, using Vero E6 survival, qPCR of viral genome and plaque forming assays. No clear relationship between their weakly basic and hydrophobic nature upon their activity was observed. However, the approved drugs ambroxol and ciprofloxacin showed potent activity at concentrations that are clinically relevant and within their known safety profiles, and so may provide potentially useful agents for preclinical and clinical studies in COVID-19.

microbiology↗

Rapid in vitro assays for screening neutralizing antibodies and antivirals against SARS-CoV-2

Towards the end of 2019, a novel coronavirus (CoV) named severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), genetically similar to severe acute respiratory syndrome coronavirus-1 (SARS-CoV-1), emerged in Wuhan, Hubei province of China, and has been responsible of coronavirus disease 2019 (COVID-19) in humans. Since its first report, SARS-CoV-2 has resulted in a global pandemic, with over 10 million human infections and over 560,000 deaths reported worldwide at the end of June 2020. Currently, there are no United States (US) Food and Drug Administration (FDA)-approved vaccines and/or antivirals licensed against SARS-CoV-2, and the high economical and health impact of SARS-CoV-2 has placed global pressure on the scientific community to identify effective prophylactic and therapeutic treatments for the treatment of SARS-CoV-2 infection and associated COVID-19 disease. While some compounds have been already reported to reduce SARS-CoV-2 infection and a handful of monoclonal antibodies (mAbs) have been described that neutralize SARS-CoV-2, there is an urgent need for the development and standardization of assays which can be used in high through-put screening (HTS) settings to identify new antivirals and/or neutralizing mAbs against SARS-CoV-2. Here, we described a rapid, accurate and highly reproducible plaque reduction microneutralization (PRMNT) assay that can be quickly adapted for the identification and characterization of both neutralizing mAbs and antivirals against SARS-CoV-2. Importantly, our MNA is compatible with HTS settings to interrogate large and/or complex libraries of mAbs and/or antivirals to identify those with neutralizing and/or antiviral activity, respectively, against SARS-CoV-2.

microbiology↗

Rescue of SARS-CoV-2 from a single bacterial artificial chromosome

An infectious coronavirus disease 2019 (COVID-19) emerged in the city of Wuhan (China) in December 2019, causing a pandemic that has dramatically impacted public health and socioeconomic activities worldwide. A previously unknown coronavirus, Severe Acute Respiratory Syndrome CoV-2 (SARS-CoV-2), has been identified as the causative agent of COVID-19. To date, there are no United States (US) Food and Drug Administration (FDA)-approved vaccines or therapeutics available for the prevention or treatment of SARS-CoV-2 infection and/or associated COVID-19 disease, which has triggered a large influx of scientific efforts to develop countermeasures to control SARS-CoV-2 spread. To contribute to these efforts, we have developed an infectious cDNA clone of the SARS-CoV-2 USA-WA1/2020 strain based on the use of a bacterial artificial chromosome (BAC). Recombinant (r)SARS-CoV-2 was readily rescued by transfection of the BAC into Vero E6 cells. Importantly, the BAC-derived rSARS-CoV-2 exhibited growth properties and plaque sizes in cultured cells comparable to those of the SARS-CoV-2 natural isolate. Likewise, rSARS-CoV-2 showed similar levels of replication to that of the natural isolate in nasal turbinates and lungs of infected golden Syrian hamsters. This is, to our knowledge, the first BAC based reverse genetics system for the generation of infectious rSARS-CoV-2 that displays similar features in vivo to that of a natural viral isolate. This SARS-CoV-2 BAC-based reverse genetics will facilitate studies addressing several important questions in the biology of SARS-CoV-2, as well as the identification of antivirals and development of vaccines for the treatment of SARS-CoV-2 infection and associated COVID-19 disease.

microbiology↗

Lethality of SARS-CoV-2 infection in K18 human angiotensin converting enzyme 2 transgenic mice

ABSTRACTVaccine and antiviral development against SARS-CoV-2 infection or COVID-19 disease currently lacks a validated small animal model. Here, we show that transgenic mice expressing human angiotensin converting enzyme 2 (hACE2) by the human cytokeratin 18 promoter (K18 hACE2) represent a susceptible rodent model. K18 hACE2-transgenic mice succumbed to SARS-CoV-2 infection by day 6, with virus detected in lung airway epithelium and brain. K18 ACE2-transgenic mice produced a modest TH1/2/17 cytokine storm in the lung and spleen that peaked by day 2, and an extended chemokine storm that was detected in both lungs and brain. This chemokine storm was also detected in the brain at day 4. K18 hACE2-transgenic mice are, therefore, highly susceptible to SARS-CoV-2 infection and represent a suitable animal model for the study of viral pathogenesis, and for identification and characterization of vaccines (prophylactic) and antivirals (therapeutics) for SARS-CoV-2 infection and associated severe COVID-19 disease.

microbiology↗

Lineage recording of zebrafish embryogenesis reveals historical and ongoing lineage commitments

It has been challenging to characterize the lineage relationships among cells in vertebrates, which comprise a great number of cells. Fortunately, recent progress has been made by combining the CRISPR barcoding system with single-cell sequencing technologies to provide an unprecedented opportunity to track lineage at single-cell resolution. However, due to errors and/or dropouts introduced by amplification and sequencing, reconstruction of accurate lineage relationships in complex organisms remains a challenge. Thus, improvements in both experimental design and computational analysis are necessary for lineage inference. In this study, we employed single-cell Lineage tracing On Endogenous Scarring Sites (scLOESS), a lineage recording strategy based on the CRISPR-Cas9 system, to trace cell fate commitments for zebrafish larvae. With rigorous quality control, we demonstrated that lineage commitments of complex organisms could be inferred from a limited number of barcoding sites. Together with cell-type characterization, our method could homogenously recover lineage information. In combination with the cell-type and lineage information, we depicted the development histories for germ layers as well as cell types. Furthermore, when combined with trajectory analysis, our methods could capture and resolve the ongoing lineage commitment events to gain further biological insights into later development and differentiation in complex organisms.

developmental biology↗

A High Accurate Machine Learning Meta-Strategy for the Prediction of Intrinsically Disorder Proteins

BackgroundMany proteins or partial regions of proteins do not have stable and well-defined three-dimensional structures in vitro. Understanding intrinsically disorder proteins (IDPs) is significant for interpreting biological function as well as studying many diseases. Although more than 70 disorder predictors have been invented, many existing predictors are limited on the characteristics of proteins and do not have very high accuracy. Therefore, it is critical to formulate new strategies on disorder protein prediction. ResultsHere, we propose a machine learning meta-strategy to improve the accuracy of disordered proteins and disordered regions prediction. We first use logistic forward parameter selection to select eight most significant predictors from the current available IDP predictors. Then we design a novel meta-strategy using several machine learning models, including Decision-tree based algorithm, Naive Bayes, Random forest, and Convolutional Neural Network (CNN). By applying different strategies, the results suggest Random forest can improve the predicted single amino acid accuracy significantly to 93.35%. Using the combination vector data of eight most significant predictors as input, the Convolution Neural Network can improve the whole protein prediction to 95.62%. ConclusionAccording to the performance of our machine learning meta-strategy, the Random forest and CNN models can improve the accuracy to predict intrinsically disorder proteins.

bioinformatics↗

Establishment of a stable transgenic g6pdM1315-1443 zebrafish line with glucose-6-phosphate dehydrogenase deficiency

ABSTRACTGlucose-6-phosphate dehydrogenase (G6PD) deficiency is the most common inherited enzymopathy in humans and is associated with a predisposition to hemolysis. However, there are few animal models to that adequately mimic associated human disease states that could be used to evaluate strategies to address clinical syndromes attributable to G6PD deficiency. In the present study, we aimed to establish a stable transgenic zebrafish model of G6PD deficiency that recapitulates the clinical manifestations of G6PD deficiency. We incorporated a stable transgene of G6PD lacking nucleotides from 1315 to 1443 denoted Tg(zgata1:g6pdM1315-1443-egfp). Functional analysis showed that Tg(zgata1:g6pdM1315-1443-egfp) transgenic zebrafish demonstrate a decrease in g6pd activity, reduced GSH levels and hemoglobin content, and increases in pericardial edema in response to α-naphthol exposure, similar to human subjects with G6PD deficiency. We detected no other significant phenotypic abnormalities compared to controls. Taken together, these observations indicate that the Tg(zgata1:g6pdM1315-1443-egfp) zebrafish line mirrors key clinical manifestations of G6PD deficiency in humans. This model may facilitate mechanistic studies and promote translational research related to G6PD deficiency.Competing Interest StatementThe authors have declared no competing interest.View Full Text

zoology↗

A phenotype-specific framework for identifying the eye abnormalities causative nonsynonymous-variants

The most important role of variant pathogenicity predictors is to identify the disease-phenotype causative variant in studying monogenic diseases. In the last decade, machine-learning based predictors exhibited a relatively accurate performance for distinguishing the pathogenic variants and contributed a significant role for all disease-spectrums. Yet, few predictors can investigate the phenotypic significance of variants. Here we presented a phenotype-specific framework aimed to directly point out the phenotypic significance of predicted candidates, and showed its advancing performance in eye abnormalities. By training on eye-abnormalities causative variants, our method presented 96.2% accuracy, 96.1% precision, 93.4% recall for pathogenicity identification. Inconsistent with the modeling performance, identifying the single phenotype-causative variant from various sequencing variants is challenging for all predictors. Underlying the phenotype-oriented, our method significantly promoted the precision and reduced the cost for identifying the single causative variant from thousands of candidates. These advances highlight the significance of the phenotype-specific training method for studying disease.

bioinformatics↗

Remdesivir inhibits renal fibrosis in obstructed kidneys

AimKidney impairment is observed in patients with COVID-19. We aimed to demonstrate the effect of anti-COVID-19 agent remdesivir on renal fibrosis. MethodsRemdesivir and its active nucleoside metabolite GS-441524 were used to treat TGF-{beta} stimulated renal fibroblasts (NRK-49F) and human renal epithelial cells (HK2). Cell viability was determined by CCK8 assay, and fibrotic markers were measured by Western blotting. Vehicle or remdesivir were given by intraperitoneal injection or renal injection through the left ureter in unilateral ureteral obstruction (UUO) mice. Serum and kidneys were harvested. The concentrations of remdesivir and GS-441524 were measured using LC-MS/MS. Renal and liver function were assessed. Renal fibrosis was evaluated by Massons trichrome staining and Western blotting. ResultsRemdesivir and GS-441524 inhibited cell proliferation and the expression of fibrotic markers (fibronectin, pSmad3, and aSMA) in NRK-49F and HK2 cells. Intraperitoneal injection or renal injection of remdesivir attenuated renal fibrosis of UUO kidneys. Renal and liver function were not changed in remdesivir treated UUO mice. Remdesivir can not be detected, but two remdesivir metabolites were detected after injection. ConclusionRemdesivir inhibits renal fibrosis in obstructed kidneys.

pharmacology and toxicology↗

An engineered Abcb4 expressing model reveals the central role of NF-κB in the regulation of drug resistance in zebrafish

Multidrug resistance (MDR) represents the major cause of unsatisfaction in the application of chemotherapy for cancer treatment. So far, an in vivo robust high-throughput screening system for anti-tumor drug MDR is still lacking and the molecular mechanisms for MDR still remain elusive. Given a myriad of merits of zebrafish relative to other animal models, we aimed to establish MDR system in zebrafish stably expressing ATP-binding cassette (ATP-cassette) superfamily transporters and study the potential regulatory mechanism. We first constructed a Tg(abcb4:EGFP) transgenic zebrafish stably expressing both Abcb4 and EGFP using Tol2-mediated approach. The expression level of Abcb4 and EGFP was significantly induced when Tg(abcb4:EGFP) transgenic zebrafish embryos were exposed to doxorubicin (DOX) or vincristine (VCR), accompany with a marked decrease in rhodamine B (RhB) accumulation in embryos, which indicates a remarkable increase in drug efflux upon the exposure to DOX or VCR. Mechanistically, AKT and ERK signaling were activated when treated with DOX or VCR. With the application of AKT and ERK inhibitors, the drug resistance phenomena could be reversed with differential responsive effects. Of note, downstream NF-κB played a central role in the regulation of Abcb4-mediated drug resistance. Taken together, the engineered Tg(abcb4:EGFP) transgenic zebrafish model provides a new platform for drug resistance screening in vivo, which could facilitate and accelerate the process of drug development.View Full Text

zoology↗

A broad and potent H1-specific human monoclonal antibody produced in plants prevents influenza virus infection and transmission in guinea pigs

Although seasonal influenza vaccines block most predominant influenza types and subtypes, humans still remain vulnerable to waves of seasonal and new potential pandemic influenza viruses for which no immunity may exist because of viral antigenic drift and/or shift, respectively. Previously, we have described a human monoclonal antibody (hMAb), KPF1, which was produced in human embryonic kidney 293T cells (KPF1-HEK) with broad and potent neutralizing activity against H1N1 influenza A viruses (IAV) in vitro, and prophylactic and therapeutic activities in vivo. In this study, we produced hMAb KPF1 in tobacco plants (KPF1-Antx) and demonstrate how the plant-produced KPF1-Antx hMAb possesses similar biological activity compared with the mammalian produced KPF1-HEK hMAb. KPF1-Antx hMAb shows broad binding to recombinant HA proteins and H1N1 IAV, including A/California/04/2009 (pH1N1) in vitro, that are comparable to those observed with KPF1-HEK hMAb. Importantly, prophylactic administration of KPF1-Antx hMAb to guinea pigs prevented pH1N1 infection and transmission in both prophylactic and therapeutic experiments, substantiating its clinical potential to prevent and treat H1N1 infections. Collectively, this study demonstrates, for the first time, that plant-produced influenza hMAbs have similar in vitro and in vivo biological properties to those produced in mammalian cells. Because of the many advantages of plant-produced hMAbs, such as rapid batch production, low cost, and the absence of mammalian cell products, they represent an alternative strategy for the production of immunotherapeutics for the treatment of influenza viral infections, including emerging seasonal and/or pandemic strains.

immunology↗

Separation or Integration of Sequential Arrays in VWM Depends On the interval Between Them

The visual information can be stored as either "active" representations in the active state or "activity-silent" representations in the passive state during the retention period in visual working memory (VWM). Catering to the dynamic nature of visual world, we explored how the temporally dynamic visual input was stored in VWM. In the current study, the memory arrays were presented sequentially, and the contralateral delay activity (CDA), an electrophysiological measure, was used to identify whether the memory representations were transferred into the passive state. Participants were instructed to encode two sequential arrays and retrieve them respectively, with two conditions of interval across the two arrays: 400ms and 800ms. These results provided strong evidence for the state-separated storage of two sequential arrays in different neural states if the interval between them was long enough, and the concurrent storage of them in the active state if the interval was relatively short. This conclusion was valid only when the participants encountered the task for the first time. Once participants have formed their mindset, they would apply the same storage mode to the subsequently extended or shortened interval condition.

neuroscience↗

Molecular characterization of carbapenem-resistant Klebsiella pneumoniae isolates with focus on antimicrobial resistance

The enhancing incidence of carbapenem-resistant Klebsiella pneumoniae (CRKP)-mediated infections in Mengchao Hepatobiliary Hospital of Fujian Medical University in 2017 is the motivation behind this investigation to study gene phenotypes and resistance-associated genes of emergence regarding the CRKP strains. In current study, seven inpatients are enrolled in the hospital with complete treatments. The carbapenem-resistant K. pneumoniae whole genome is sequenced using MiSeq short-read and Oxford Nanopore long-read sequencing technology. Prophages are identified to assess genetic diversity within CRKP genomes. The investigation encompassed eight CRKP strains that collected from the patients enrolled as well as the environment, which illustrate that blaKPC-2 is responsible for phenotypic resistance in six CRKP strains that K. pneumoniae sequence type (ST11) is informed. The plasmid with IncR, ColRNAI and pMLST type with IncF[F33:A-:B-] co-exist in all ST11 with KPC-2-producing CRKP strains. Along with carbapenemases, all K. pneumoniae strains harbor two or three extended spectrum {beta}-lactamase (ESBL)-producing genes. fosA gene is detected amongst all the CRKP strains. The single nucleotide polymorphisms (SNP) markers are indicated and validated among all CRKP strains, providing valuable clues for distinguishing carbapenem-resistant strains from conventional K. pneumoniae. In conclusion, ST11 is the main CRKP type, and blaKPC-2 is the dominant carbapenemase gene harbored by clinical CRKP isolates from current investigations.

bioengineering↗

Methyl-Metabolite Depletion Elicits Adaptive Responses to Support Heterochromatin Stability and Epigenetic Persistence

S-adenosylmethionine (SAM) is the methyl-donor substrate for DNA and histone methyltransferases that regulate cellular epigenetic states. This metabolism-epigenome link enables the sensitization of chromatin methylation to altered SAM abundance. However, a chromatin-wide understanding of the adaptive/responsive mechanisms that allow cells to actively protect epigenetic information during life-experienced fluctuations in SAM availability are unknown. We identified a robust response to SAM depletion that is highlighted by preferential cytoplasmic and nuclear de novo mono-methylation of H3 Lys 9 (H3K9) at the expense of global losses in histone di- and tri-methylation. Under SAM-depleted conditions, de novo H3K9 mono-methylation preserves heterochromatin stability and supports global epigenetic persistence upon metabolic recovery. This unique chromatin response was robust across the mouse lifespan and correlated with improved metabolic health, supporting a significant role for epigenetic adaptation to SAM depletion in vivo. Together, these studies provide the first evidence for active epigenetic adaptation and persistence to metabolic stress.

biochemistry↗

Surface protein imputation from single cell transcriptomes by deep neural networks

While single cell RNA sequencing (scRNA-seq) is invaluable for studying cell populations, cell-surface proteins are often integral markers of cellular function and serve as primary targets for therapeutic intervention. Here we propose a transfer learning framework, single cell Transcriptome to Protein prediction with deep neural network (cTP-net), to impute surface protein abundances from scRNA-seq data by learning from existing single-cell multi-omic resources.

bioinformatics↗

The intestinal microbiota programs diurnal rhythms in host metabolism through histone deacetylase 3

Circadian rhythmicity is a defining feature of mammalian metabolism that synchronizes metabolic processes to day-night light cycles. Here, we show that the intestinal microbiota programs diurnal metabolic rhythms in the mouse small intestine through histone deacetylase 3 (HDAC3). The microbiota induced expression of intestinal epithelial HDAC3, which was recruited rhythmically to chromatin and produced synchronized diurnal oscillations in histone acetylation, metabolic gene expression, and nutrient uptake. HDAC3 also functioned non-canonically to coactivate estrogen related receptor (ERR), inducing microbiota-dependent rhythmic transcription of the lipid transporter gene Cd36 and promoting lipid absorption and diet-and jet lag-induced obesity. Our findings reveal that HDAC3 integrates microbial and circadian cues to regulate diurnal metabolic rhythms, and pinpoint a key mechanism by which the microbiota controls host metabolism. One sentence summaryThe intestinal microbiota induces daily metabolic rhythms and controls lipid uptake through the enzyme histone deacetylase 3.

microbiology↗

Translational regulation of non-autonomous mitochondrial stress response promotes longevity

Inhibition of mRNA translation delays aging, but the underlying mechanisms remain underexplored. Mutations in both DAF-2 (IGF-1 receptor) and RSKS-1 (ribosomal S6 kinase/S6K) cause synergistic lifespan extension in C. elegans. To understand the roles of S6K-mediated translational regulation in this process, we performed genome-wide translational profiling and genetic screens to identify genes that are not only regulated at the translational level in the daf-2 rsks-1 mutant, but also affect lifespan. Inhibition of CYC-2.1 (cytochrome c) in the germline significantly extends lifespan through non-autonomous activation of the mitochondrial unfolded protein response (UPRmt) and AMP-activated kinase (AMPK) in the metabolic tissue. Furthermore, the RNA-binding protein GLD-1-mediated translational repression of cytochrome c in the germline is important for the non-autonomous activation of UPRmt and synergistic longevity of the daf-2 rsks-1 mutant. Together, these results illustrate a translationally regulated non-autonomous mitochondrial stress response mechanism in the modulation of lifespan by insulin-like signaling and S6K. HighlightsO_LILongevity of the daf-2 rsks-1 mutant is mediated by translational repression of ribosomal proteins and CYC-2.1/cytochrome c. C_LIO_LIGermline inhibition of cyc-2.1 non-autonomously activates UPRmt and AMPK to extend lifespan. C_LIO_LIGLD-1 represses germline cyc-2.1 translation in the daf-2 rsks-1 mutant. C_LIO_LITranslational regulation of cyc-2.1 and UPRmt contribute to the synergistic longevity of the daf-2 rsks-1 mutant. C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/533695v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@9f3ce7org.highwire.dtl.DTLVardef@576930org.highwire.dtl.DTLVardef@bb0c09org.highwire.dtl.DTLVardef@133ce4_HPS_FORMAT_FIGEXP M_FIG C_FIG

developmental biology↗

Beyond a ribosomal RNA methyltransferase, the wider role of MraW in DNA methylation, motility and colonization in Escherichia coli O157:H7

MraW (RsmH) is an AdoMet-dependent 16S rRNA methyltransferase conserved in bacteria and plays a role in the fine-tuning of the ribosomal decoding center. It was recently found to contribute to the virulence of Staphylococcus aureus in host animals. In this study, we examined the function of MraW in Escherichia coli O157:H7 and found that deletion of mraW led to decreased motility and flagellar production. Whole-genome bisulfite sequencing showed genome wide decrease of methylation of 336 genes and 219 promoters in the mraW mutant. The methylation level of 4 flagellar gene sequences were further confirmed by bisulfite PCR sequencing. Quantitative reverse transcription PCR results indicated the transcription of these genes was also affected. MraW was observed to directly bind to the four flagellar gene sequences by electrophoretic mobility shift assay (EMSA). A common motif in differentially methylated regions of promoters and coding regions of the 4 flagellar genes was identified. Reduced methylation was correlated with altered expression of 21 of the 24 genes tested. DNA methylation activity of MraW was confirmed by DNA methyltransferase (DNMT) activity assay in vitro. The mraW mutant colonized poorer than wild type in mice. we further found that the expression of mraZ in the mraW mutant was increased confirming the antagonistic effect of mraW on mraZ. In conclusion, mraW was found to be a DNA methylase and has a wide-ranging effect on E. coli O157:H7 including motility and virulence in vivo via genome wide methylation and mraZ antagonism.\n\nIMPORTANCEMraW is a well-studied 16S rRNA methyltransferase and was recently found have an impact on bacterial virulence. Here we demonstrated its new function as a DNA methylase and effect on motility, colonization in mice, DNA methylation in genome wide and contribution to virulence. Its direct binding of differentially methylated flagellar-encoding DNA sequences was observed, indicating a correlation between DNA methylation and regulation of flagellar genes. In addition, the expression of mraZ which function as an antagonist of mraW was increased in the mraW mutant. mraW plays an important role in gene regulation likely through DNA methylation. Clearly it plays a role in virulence in E. coli O157:H7. It also opens a new research field for virulence study in bacteria.

microbiology↗