Biology subjects

Zhu, J.

Publications and source records attributed to Zhu, J..

At least 487 records · Page 27Linked to original sources

bioRxiv2020

Graph Theoretical Design of Biomimetic Aramid Nanofiber Nanocomposites as Insulation Coatings for Implantable Bioelectronics

An insulation material combining crack and delamination resistance, flexibility, strong adhesion, and biocompatibility is vital for implantable bioelectronic devices of all types. Creating a material with the combination of all these properties is a particularly distinct challenge for implantable electrodes. Here we describe a nanocomposite material addressing these technological challenges based on aramid nanofibers (ANFs) whose unique mechanical properties are complemented by the epoxy resins with strong adhesion to various surfaces. The nanoscale structure of the ANF/epoxy nanocomposite coating replicates the nanofibrous organization of human cartilage, which is known for its exceptional toughness and longevity. The structural analogy between percolating networks of cartilage and ANF was demonstrated using Graph Theory (GT) analysis. The match of multiple GT indexes indicated the near identical organization pattern of cartilage and ANF/epoxy nanocomposite. When compared with the standard insulating material for bioelectronics, Parylene C, the ANF/epoxy nanocomposite demonstrates excellent interfacial adhesion, biocompatibility, and low inflammatory response. This study opens the possibility for the development of insulation materials suitable for different types of electronics for neural engineering and other biomedical applications. Also important, GT analysis makes possible structural characterization of complex biological and biomimetic materials.

bioengineering↗

bioRxiv2020

High-resolution Cell Atlas of Pig Lung and Online Platform Exploring for Lung Single Cell

Due to the comparable organ sizes and physiology to human beings, genetically engineered pig is gradually regarded as an optimal source of human for transplantation and an excellent model for human diseases research. The major barrier between pig and human is mainly cellular heterogeneity and immune incompatibilities. Myriad scRNA-seq data of human has been reported, but the counterpart in pig is scarce. Here, we applied scRNA-seq technology to study the cellular heterogeneity of 3 months old pig lungs, generating the single-cell atlas of 13,580 cells covering 16 major cell types. Based on this data, we systematically characterized transcription factor regulatory networks, cell-cell communications in each cell type, and comparison of them and those in human lung. We first presented a comprehensive and openly accessible online platform, ScdbLung, which was composed of three functional modules (Marker, Cluster, and Download) and dedicated to exploiting the valuable resources of lung scRNA-seq data across four mammalian species. Overall, our scRNA-seq atlas of domestic pig lung, conserved transcription factor regulatory networks and cell-cell communications between domestic pig and human, and ScdbLung could provide guidance for porcine lung research and clinical applicability.

cell biology↗

bioRxiv2020

Polyamine biosynthesis and eIF5A hypusination are modulated by the DNA tumor virus KSHV and promote KSHV viral infection

Polyamines are critical metabolites involved in various cellular processes and often dysregulated in cancers. Kaposis sarcoma associated Herpesvirus (KSHV) is a defined oncogenic virus belonging to the sub-family of human gamma-herpesviruses. KSHV infection leads to the profound alteration of host metabolic landscape to favor the development of KSHV-associated malignancies. In our studies, we identified that polyamine biosynthesis and eIF5A hypusination are dynamically regulated by KSHV infection likely through the modulation of key enzymes of these pathways, such as ODC1, and that in return these metabolic pathways are required for both KSHV lytic switch from latency and de novo infection. The further analysis unraveled that translation of critical KSHV latent and lytic proteins (LANA, RTA) depends on eIF5A hypusination. We also demonstrated that KSHV infection can be efficiently and specifically suppressed by using inhibitors targeting either polyamine biosynthesis or eIF5A hypusination. Above all, our results illustrated that the dynamic and profound interaction of a DNA tumor virus (KSHV) with host polyamine biosynthesis and eIF5A hypusination metabolic pathways promote viral propagation and oncogenesis, which serve as new therapeutic targets to treat KSHV-associated malignancies.

microbiology↗

bioRxiv2020

Overexpression of EiKCS confers paraquat-tolerance in rice (Oryza sativa L.) by promoting polyamine pathway

Paraquat is an important bipyridine herbicide by acting on the photosynthetic system of the plants and generating reactive oxygen species leading to cell death, whereas the mechanism of the paraquat resistance remains to be explored. In this study, a putative paraquat-resistant gene EiKCS from goosegrass (Eleusine indica L.) was isolated and overexpressed in a transgenic rice (Oryza sativa L.). This transgenic rice (KCSox) was treated by exogenous spermidine and paraquat and then was analyzed by qualitative and quantitative proteomics. Overexpressing of EiKCS enhanced paraquat tolerance in KCSox by the accumulation of endogenous polyamines whose dominant presences of polyamines benzoylation derivatizations in rice were C18H20N2O2, C28H31N3O3, and C38H42N4O4. The mechanism underlying the improving tolerance enhanced antioxidant capacity of ROS systems and light-harvesting in photosynthesis in KCSox rice leaves to reducing paraquat toxicity. The protein {beta}-Ketoacyl-CoA Synthase (EiKCS) encoded by the EiKCS gene promoted the synthesis and metabolism of proteins of the polyamine pathway. Three cofactors CERs were identified and positively correlated with the function of EiKCS on very-long-chain fatty acids (VLCFAs) biosynthesis via promoting the polyamine pathway and inhibiting the links with the TCA pathway and fatty acid pathway to responding to the paraquat tolerance in the KCSox rice, which also caused the prolongation of the overproduction of spermine and a transient increase of intracellular malondialdehyde (MDA). These results expanded the polyamines pathway manipulated in cereals using genetic engineering to clarify the mechanism of paraquat-tolerance. One Sentence SummaryA putative paraquat-resistant EiKCS gene from the goosegrass overexpressing in the rice resulted in the accumulation of polyamines, especially the spermine, and promoted the proteins in polyamine pathways by its EiKCS protein under paraquat stress.

physiology↗

bioRxiv2020

Neutralizing antibodies induced by first-generation gp41-stabilized HIV-1 envelope trimers and nanoparticles

Antigen-specific B-cell sorting and next-generation sequencing (NGS) were combined to isolate HIV-1 neutralizing antibodies (NAbs) from mice and rabbits immunized with BG505 trimers and nanoparticles. Three mouse NAbs potently neutralize BG505.T332N and recognize a glycan epitope centered at the C3/V4 region, as revealed by electron microscopy (EM), x-ray crystallography, and epitope mapping. Three potent NAbs were sorted from rabbit B cells that target glycan holes on the BG505 envelope glycoprotein (Env) and account for a significant portion of autologous NAb response. We then determined a 3.4[A]-resolution crystal structure for the clade C transmitted/founder Du172.17 Env with a redesigned heptad repeat 1 (HR1) bend. This clade C Env, as a soluble trimer and attached to a ferritin nanoparticle, along with a clade A Q482-d12 Env trimer, elicited distinct NAb responses in rabbits. Our study demonstrates that nanoparticles presenting gp41-stabilized trimers can induce potent NAb responses in mice and rabbits with Env-dependent breadth. TEASERMouse and rabbit NAbs elicited by gp41-stabilized trimers and nanoparticles neutralize autologous HIV-1 by targeting different epitopes

microbiology↗

bioRxiv2020

Optimization of Spectral Library Size Improves DIA-MS Proteome Coverage

Efficient peptide and protein identification from data-independent acquisition mass spectrometric (DIA-MS) data typically rely on an experiment-specific spectral library with a suitable size. Here, we report a computational strategy for optimizing the spectral library for a specific DIA dataset based on a comprehensive spectral library, which is accomplished by a priori analysis of the DIA dataset. This strategy achieved up to 44.7% increase in peptide identification and 38.1% increase in protein identification in the test dataset of six colorectal tumor samples compared with the comprehensive pan-human library strategy. We further applied this strategy to 389 carcinoma samples from 15 tumor datasets and observed up to 39.2% increase in peptide identification and 19.0% increase in protein identification. In summary, we present a computational strategy for spectral library size optimization to achieve deeper proteome coverage of DIA-MS data.

bioinformatics↗

bioRxiv2020

Gene mutations in members of the PI3K/Akt signalling pathway are related to immune thrombocytopenia pathogenesis

PurposeImmune thrombocytopenic (ITP) is an autoimmune bleeding disease with genetic susceptibility. In this research, we conducted an in-depth genomic analysis of a cohort of patients and elucidated the molecular features associated with the pathogenesis of ITP. MethodHigh-molecular-weight genomic DNA was extracted from freshly frozen bone marrow blood mononuclear cells (BMBMCs) from 20 active ITP patients. Next, the samples were subjected to molecular genetic analysis by whole-exome sequencing (WES), and the results were confirmed by Sanger sequencing. The signalling pathways and cellular processes associated with the mutated genes were identified with gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. ResultsThe results of this study revealed 3,998 missense mutations involving 2,269 genes in more than 10 individuals. Some unique genetic variants, including phosphatase and tensin homologue (PTEN), insulin receptor (INSR) and coagulation factor C homology (COCH) variants, were the most associated with the pathogenesis of ITP. Functional analysis revealed that these gene mutations mainly affected the phosphoinositide 3 kinase (PI3K)/protein kinase B (Akt) signalling pathways (signal transduction) and platelet activation (immune system). ConclusionsOur findings demonstrate the functional connections between these gene variants and ITP. Although the underlying mechanisms and the impact of these genetic variants remain to be revealed through further investigation, the application of next-generation sequencing in ITP in this paper is valuable for revealing the genetic mechanisms of ITP. SummaryImmune thrombocytopenic (ITP) is an autoimmune bleeding disease with genetic susceptibility. DNA mutation profile of ITP patient bone marrow samples (n=20) were investigated by using next-generation sequencing (NGS), and then confirmed by sanger sequencing method. Our results showed PTEN, INSR and COCH were mutated in all ITP patients. Functional analysis revealed these mutation genes mainly participate PI3K/Akt signaling pathways and platelet activation. These results suggest that genetic alterations might be involved in the pathogenesis of ITP.

cell biology↗

bioRxiv2020

Cloning and Functional characterization of seed-specific LEC1A promoter from peanut (Arachis hypogaea L.)

LEAFY COTYLEDON1 (LEC1) is a HAP3 subunit of CCAAT-binding transcription factor, which controls several aspects of embryo and postembryo development, including embryo morphogenesis, storage reserve accumulation and skotomorphogenesis. Herein, using the method of chromosomal walking, a 2707bp upstream sequence from the ATG initiation codon site of AhLEC1A which is a homolog of Arabidopsis LEC1 was isolated in peanut. Its transcriptional start site confirmed by 5 RACE was located at 82 nt from 5 upstream of ATG. The bioinformatics analysis revealed that there existed many tissue-specific elements and light responsive motifs in its promoter. To identify the functional region of the AhLEC1A promoter, seven plant expression vectors expressing the GUS ({beta}-glucuronidase) gene, driven by 5 terminal series deleted fragments of AhLEC1A promoter, were constructed and transformed into Arabidopsis. Results of GUS histochemical staining showed that the regulatory region containing 82bp of 5 UTR and 2228bp promoter could facilitate GUS to express preferentially in the embryos at different development periods of Arabidopsis. Taken together, it was inferred that the expression of AhLEC1A during seed development of peanut might be controlled positively by several seed-specific regulatory elements, as well as negatively by some other regulatory elements inhibiting its expression in other organs. Moreover, the GUS expression pattern of transgenic seedlings in darkness and in light was relevant to the light-responsive elements scattered in AhLEC1A promoter segment, implying that these light-responsive elements harbored in the AhLEC1A promoter regulate skotomorphogenesis of peanut seeds, and AhLEC1A expression was inhibited after the germinated seedlings were transferred from darkness to light.

molecular biology↗

bioRxiv2020

Identification of Cross-Reactive CD8+ T Cell Receptors with High Functional Avidity to a SARS-CoV-2 Immunodominant Epitope and Its Natural Mutant Variants

Despite the growing knowledge of T cell responses and their epitopes in COVID-19 patients, there is a lack of detailed characterizations for T cell-antigen interactions and T cell functions. Using a peptide library predicted with HLA class I-restriction, specific CD8+ T cell responses were identified in over 75% of COVID-19 convalescent patients. Among the 15 SARS-CoV-2 epitopes identified from the S and N proteins, N361-369 (KTFPPTEPK) was the most dominant epitope. Importantly, we discovered 2 N361-369-specific T cell receptors (TCRs) with high functional avidity, and they exhibited complementary cross-reactivity to reported N361-369 mutant variants. In dendritic cells (DCs) and the lung organoid model, we found that the N361-369 epitope could be processed and endogenously presented to elicit the activation and cytotoxicity of CD8+ T cells ex vivo. Our study evidenced potential mechanisms of cellular immunity to SARS-CoV-2, illuminating natural ways of viral clearance with high relevancy in the vaccine development.

immunology↗

bioRxiv2020

A cysteine protease inhibitor blocks SARS-CoV-2 infection of human and monkey cells

K777 is a di-peptide analog that contains an electrophilic vinyl-sulfone moiety and is a potent, covalent inactivator of cathepsins. Vero E6, HeLa/ACE2, Caco-2, A549/ACE2, and Calu-3, cells were exposed to SARS-CoV-2, and then treated with K777. K777 reduced viral infectivity with EC50 values of inhibition of viral infection of: 74 nM for Vero E6, <80 nM for A549/ACE2, and 4 nM for HeLa/ACE2 cells. In contrast, Calu-3 and Caco-2 cells had EC50 values in the low micromolar range. No toxicity of K777 was observed for any of the host cells at 10-100 M inhibitor. K777 did not inhibit activity of the papain-like cysteine protease and 3CL cysteine protease, encoded by SARS-CoV-2 at concentrations of [≤] 100 M. These results suggested that K777 exerts its potent anti-viral activity by inactivation of mammalian cysteine proteases which are essential to viral infectivity. Using a propargyl derivative of K777 as an activity-based probe, K777 selectively targeted cathepsin B and cathepsin L in Vero E6 cells. However only cathepsin L cleaved the SARS-CoV-2 spike protein and K777 blocked this proteolysis. The site of spike protein cleavage by cathepsin L was in the S1 domain of SARS-CoV-2, differing from the cleavage site observed in the SARS CoV-1 spike protein. These data support the hypothesis that the antiviral activity of K777 is mediated through inhibition of the activity of host cathepsin L and subsequent loss of viral spike protein processing. SIGNIFICANCEThe virus causing COVID-19 is highly infectious and has resulted in a global pandemic. We confirm that a cysteine protease inhibitor, approved by the FDA as a clinical-stage compound, inhibits SARS-CoV-2 infection of several human and monkey cell lines with notable(nanomolar) efficacy. The mechanism of action of this inhibitor is identified as a specific inhibition of host cell cathepsin L. This in turn inhibits host cell processing of the coronaviral spike protein, a step required for cell entry. Neither of the coronaviral proteases are inhibited, and the cleavage site of spike protein processing is different from that reported in other coronaviruses. Hypotheses to explain the differential activity of the inhibitor with different cell types are discussed.

biochemistry↗

bioRxiv2020

Enhanced ultrasound neuromodulation in vitro using nanobubble actuators

Ultrasound neuromodulation is a promising new method to manipulate brain activity noninvasively. Here, we detail a neurostimulation scheme using gas-filled nanostructures, gas vesicles (GVs), as actuators for improving the efficacy and precision of ultrasound stimuli. Sonicated primary neurons displayed dose-dependent, repeatable Ca2+ responses, closely synced to stimuli, and increased nuclear expression of the activation marker c-Fos only in the presence of GVs but not without. We identified mechanosensitive ion channels as important mediators of this effect, and neurons heterologously expressing the mechanosensitive MscL-G22S channel showed greater activation at lower acoustic pressure. This treatment scheme was also found not to induce significant cytotoxicity, apoptosis or membrane poration in treated cells. Altogether, we demonstrate a simple and effective method to achieve enhanced and more selective ultrasound neurostimulation. Graphical abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

neuroscience↗

bioRxiv2020

The wheat 55K SNP-based exploration of loci for spikelet number per spike from a tetraploid wheat (Triticum turgidum L.) recombinant inbred line population derived from a Chinese landrace Ailanmai and a wild emmer accession

The spikelet number per spike (SNS) is a primary factor determining wheat yield. Common wheat breeding reduces the genetic diversity among elite germplasm resources, leading to a detrimental effect on future wheat production. It is, therefore, necessary to explore new genetic resources for SNS to increase wheat yield. A tetraploid landrace Ailanmai x wild emmer wheat recombinant inbred line (RIL) population was used to construct a genetic map using the wheat 55K single nucleotide polymorphism (SNP) array. The linkage map containing 1150 bin markers with a total genetic distance of 2411.8 cM was obtained. Based on phenotypic data from eight environments and best linear unbiased prediction (BLUP) values, five quantitative trait loci (QTL) for SNS were identified, explaining 6.71-29.40% of the phenotypic variation. Two of them, QSns.sau-AM-2B.3 and QSns.sau-AM-3B.2, were detected as the major and novel QTL. Their effects were further validated in two additional F2 populations using tightly linked Kompetitive Allele-Specific PCR (KASP) markers. Potential candidate genes within the physical intervals of corresponding QTL were predicted to participate in inflorescence development and spikelet formation. Genetic associations between SNS and other agronomic traits were also detected and analyzed. This study demonstrates the feasibility of wheat 55K SNP array developed for common wheat in genetic mapping of tetraploid population and shows the potential application of wheat related species in wheat improvement programs.

genetics↗

bioRxiv2020

Compensatory hepatic adaptation accompanies permanent absence of intrahepatic biliary network due to YAP1 loss in liver progenitors

YAP1 regulates cell plasticity during liver injury, regeneration and cancer, but its role in liver development is unknown. YAP1 activity was detected in biliary cells and in cells at the hepato-biliary bifurcation in single-cell RNA-sequencing analysis of developing livers. Hepatoblast deletion of Yap1 led to no impairment in Notch-driven SOX9+ ductal plate formation, but prevented the formation of the abutting second layer of SOX9+ ductal cells, blocking the formation of a patent intrahepatic biliary tree. Intriguingly, the mice survived for 8 months with severe cholestatic injury and without any hepatocyte-to-biliary transdifferentiation. Ductular reaction in the perihilar region suggested extrahepatic biliary proliferation likely seeking the missing intrahepatic biliary network. Long-term survival of these mice occurred through hepatocyte adaptation via reduced metabolic and synthetic function including altered bile acid metabolism and transport. Overall, we show YAP1 as a key regulator of bile duct development while highlighting a profound adaptive capability of hepatocytes.

pathology↗

bioRxiv2020

Emergence of prefrontal neuron maturation properties by training recurrent neural networks in cognitive tasks

Working memory and response inhibition are functions that mature relatively late in life, after adolescence, paralleling the maturation of the prefrontal cortex. The link between behavioral and neural maturation is not obvious, however, making it challenging to understand how neural activity underlies the maturation of cognitive function. To gain insights into the nature of observed changes in prefrontal activity between adolescence and adulthood, we investigated the progressive changes in unit activity of Recurrent Neural Networks (RNNs) as they were trained to perform working memory and response inhibition tasks. These included increased delay period activity during working memory tasks, and increased activation in antisaccade tasks. These findings reveal universal properties underlying the neuronal computations behind cognitive tasks and explicate the nature of changes that occur as the result of developmental maturation.

neuroscience↗

bioRxiv2020

Inhibition of Polo-like kinase 1 (PLK1) to facilitate the reactivation and elimination of latent gamma-herpesviruses.

Both Kaposis sarcoma-associated herpesvirus (KSHV) and Epstein-Barr virus (EBV) establish the persistent, life-long infection primarily at the latent status, and contribute to certain types of tumors, including B cell lymphomas, especially in immuno-compromised individuals, such as people living with HIV (PLWH). Lytic reactivation of these viruses can be employed to kill tumor cells harboring latently infected viral episomes, through the viral cytopathic effects and the subsequent antiviral immune responses. In this study, we identified that polo-like kinase 1 (PLK1) is induced by KSHV de novo infection as well as lytic switch from KSHV latency. We further demonstrated that PLK1 depletion or inhibition facilitates KSHV reactivation and promotes cell death of KSHV-reactivated lymphoma cells. Mechanistically, PLK1 regulates Myc that is critical to both maintenance of KSHV latency and support of cell survival, and preferentially affects the level of H3K27me3 inactive mark both globally and at certain loci of KSHV viral episomes. Lastly, we recognized that PLK1 inhibition synergizes with STAT3 inhibition to efficiently induce KSHV reactivation. Furthermore, we also confirmed that PLK1 depletion or inhibition yields the similar effect on EBV reactivation and cell death of EBV-reactivated lymphoma cells. Additionally, we noticed the PLK1 in B cells is elevated in the context of HIV infection and by HIV Nef protein, which would favor KSHV/EBV latency. Above all, our findings illustrated that PLK1 is a novel host target that can be inhibited to benefit the viral oncolysis to eliminate KSHV/EBV-infected lymphoma cells, particularly for PLWH.

cancer biology↗

bioRxiv2020

CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction

Protein functions are largely determined by the final details of their tertiary structures, and the structures could be accurately reconstructed based on inter-residue distances. Residue co-evolution has become the primary principle for estimating inter-residue distances since the residues in close spatial proximity tend to co-evolve. The widely-used approaches infer residue co-evolution using an indirect strategy, i.e., they first extract from the multiple sequence alignment (MSA) of query protein some handcrafted features, say, co-variance matrix, and then infer residue co-evolution using these features rather than the raw information carried by MSA. This indirect strategy always leads to considerable information loss and inaccurate estimation of inter-residue distances. Here, we report a deep neural network framework (called CopulaNet) to learn residue co-evolution directly from MSA without any handcrafted features. The CopulaNet consists of two key elements: i) an encoder to model context-specific mutation for each residue, and ii) an aggregator to model correlations among residues and thereafter infer residue co-evolutions. Using the CASP13 (the 13th Critical Assessment of Protein Structure Prediction) target proteins as representatives, we demonstrated the successful application of CopulaNet for estimating inter-residue distances and further predicting protein tertiary structure with improved accuracy and efficiency. Head-to-head comparison suggested that for 24 out of the 31 free modeling CASP13 domains, ProFOLD outperformed AlphaFold, one of the state-of-the-art prediction approaches.

bioinformatics↗

bioRxiv2020

CancerMIRNome: a web server for interactive analysis and visualization of cancer miRNome data

MicroRNAs (miRNAs), which play critical roles in gene regulatory networks, have emerged as promising diagnostic and prognostic biomarkers for human cancer. In particular, circulating miRNAs that are secreted into circulation exist in remarkably stable forms, and have enormous potential to be leveraged as non-invasive biomarkers for early cancer detection. Novel and user-friendly tools are desperately needed to facilitate data mining of the vast amount of miRNA expression data from The Cancer Genome Atlas (TCGA) and large-scale circulating miRNA profiling studies. To fill this void, we developed CancerMIRNome, a comprehensive database for the interactive analysis and visualization of miRNA expression profiles based on 10,998 samples from 33 TCGA projects and 21,993 samples from 40 public circulating miRNome datasets. A series of cutting-edge bioinformatics tools and machine learning algorithms have been packaged in CancerMIRNome, allowing for the pan-cancer analysis of a miRNA of interest across multiple cancer types and the comprehensive analysis of miRNome profiles to identify dysregulated miRNAs and develop diagnostic or prognostic signatures. The data analysis and visualization modules will greatly facilitate the exploit of the valuable resources and promote translational application of miRNA biomarkers in cancer. The CancerMIRNome database is publicly available at http://bioinfo.jialab-ucr.org/CancerMIRNome.

bioinformatics↗

bioRxiv2020

Scaffolded Learning of Bipedal Walkers: Bootstrapping Ontogenetic Development

Bipedal locomotion has several key challenges, such as balancing, foot placement, and gait optimization. We reach optimality from a very early age by using natural supports, such as our parents hands, chairs, and training wheels, and bootstrap a new knowledge from the recently acquired one. In this paper, we propose a scaffolded learning method from an evolutionary robotics perspective, where a biped creature achieves stable and independent bipedal walking while exploiting the natural scaffold of its changing morphology to create a third limb. Hence, we compare three conditions of scaffolded learning to reach bipedalism, and we prove that a performance-based scaffold is the most conducive to accelerate the learning of ontogenetic bipedal walking. Beyond a pedagogical experiment, this work presents a powerful tool to accelerate learning on robots.

animal behavior and cognition↗