Biology subjects

Yu, H.

Publications and source records attributed to Yu, H..

At least 397 records · Page 22Linked to original sources

bioRxiv2020

The N-glycosylation sites and Glycan-binding ability of S-protein in SARS-CoV-2 Coronavirus

The emerging acute respiratory disease, COVID-19, caused by SARS-CoV-2 Coronavirus (SARS2 CoV) has spread fastly all over the word. As a member of RNA viruses, the glycosylation of envelope glycoprotein plays the crucial role in protein folding, evasing host immune system, invading host cell membrane, even affecting host preference. Therefore, detail glyco-related researches have been adopted in the Spike protein (S-protein) of SARS2 CoV from the bioinformatic perspective. Phylogenic analysis of S-protein sequences revealed the evolutionary relationship of N-glycosylation sites in different CoVs. Structural comparation of S-proteins indicated their similarity and distributions of N-glycosylation sites. Further potential sialic acid or galactose affinity domains have been described in the S-protein by docking analysis. Molecular dynamic simulation for the glycosylated complexus of S-protein-ACE2 implied that the complicate viral binding of receptor-binding domain may be influenced by peripheric N-glycans from own and adjacent monoers. These works will contribute to investigate the N-glycosylation in S-protein and explain the highly contagious of COVID-19.

evolutionary biology↗

bioRxiv2020

Lipidation of a bacterial effector is critical for bacterial evasion of host-defense

The Rab32 antimicrobial pathway has been shown to restrict Salmonella Typhi, in mouse macrophages. The broad-host pathogen Salmonella Typhimurium however has evolved a strategy to evade the Rab32 antimicrobial pathway, via its effector protein GtgE. GtgE is a cysteine protease that specifically mediates the cleavage and inactivation of Rab32. Here we show that GtgE association and targeting to membranes is critical for its efficient proteolytic activity. The C-terminus of GtgE contains a CaaX motif, which can be post-translationally modified by the hosts prenylation machinery. Using a combination of confocal microscopy and subcellular fractionation we show that a cysteine in the CaaX motif is crucial for GtgE membrane targeting and, more importantly, GtgE localization to the Salmonella-containing vacuole. We also demonstrated that prenylation of CaaX is important for an effective and fast Rab32 cleavage, which in turn helps Salmonella to successfully survive in macrophages and establish an in vivo infection in mice. Our findings shed light on the importance of a host mediated post-translational modification that targets GtgE to the membranes where it can efficiently cleave and inactivate Rab32, leading to a better Salmonella survival in macrophages. Author summarySalmonella species includes a large group of bacteria that cause disease in different hosts. While some serovars are host generalists, others are restricted to humans. This is the case of Salmonella Typhi, responsible for Typhoid fever, a disease that affects millions globally. We have previously discovered an antimicrobial activity in macrophages that is controlled by Rab32. While the broad-host bacterium Salmonella Typhimurium effectively counteracts this mechanism through the delivery of two effectors, GtgE and SopD2, Salmonella Typhi does not express those effectors and cannot survive in mouse macrophages. In this article, we demonstrate how Salmonella Typhimurium exploits a host machinery to modify GtgE. We show that this host mediated modification is important for GtgE intracellular localization and effective Rab32 targeting, resulting in both a better intracellular survival and infection in vivo.

microbiology↗

bioRxiv2020

A 3D Structural Interactome to Explore the Impact of Evolutionary Divergence, Population Variation, and Small-molecule Drugs on SARS-CoV-2-Human Protein-Protein Interactions

The recent COVID-19 pandemic has sparked a global public health crisis. Vital to the development of informed treatments for this disease is a comprehensive understanding of the molecular interactions involved in disease pathology. One lens through which we can better understand this pathology is through the network of protein-protein interactions between its viral agent, SARS-CoV-2, and its human host. For instance, increased infectivity of SARS-CoV-2 compared to SARS-CoV can be explained by rapid evolution along the interface between the Spike protein and its human receptor (ACE2) leading to increased binding affinity. Sequence divergences that modulate other protein-protein interactions may further explain differences in transmission and virulence in this novel coronavirus. To facilitate these comparisons, we combined homology-based structural modeling with the ECLAIR pipeline for interface prediction at residue resolution, and molecular docking with PyRosetta. This enabled us to compile a novel 3D structural interactome meta-analysis for the published interactome network between SARS-CoV-2 and human. This resource includes docked structures for all interactions with protein structures, enrichment analysis of variation along interfaces, predicted {Delta}{Delta}G between SARS-CoV and SARS-CoV-2 variants for each interaction, predicted impact of natural human population variation on binding affinity, and a further prioritized set of drug repurposing candidates predicted to overlap with protein interfaces{dagger}. All predictions are available online{dagger} for easy access and are continually updated when new interactions are published. {dagger}Some sections of this pre-print have been redacted to comply with current bioRxiv policy restricting the dissemination of purely in silico results predicting potential therapies for SARS-CoV-2 that have not undergone thorough peer-review. The results section titled "Prioritization of Candidate Inhibitors of SARS-CoV-2-Human Interactions Through Binding Site Comparison," Figure 4, Supplemental Table 9, and all links to our web resource have been removed. Blank headers left in place to preserve structure and item numbering. Our full manuscript will be published in an appropriate journal following peer-review.

systems biology↗

bioRxiv2020

Degradation of SARS-CoV-2 receptor ACE2 by tobacco carcinogen-induced Skp2 in lung epithelial cells

An unexpected observation among the COVID-19 pandemic is that smokers constituted only 1.4-18.5% of hospitalized adults, calling for an urgent investigation to determine the role of smoking in SARS-CoV-2 infection. Here, we show that cigarette smoke extract (CSE) and carcinogen benzo(a)pyrene (BaP) increase ACE2 mRNA but trigger ACE2 protein catabolism. BaP induces an aryl hydrocarbon receptor (AhR)-dependent upregulation of the ubiquitin E3 ligase Skp2 for ACE2 ubiquitination. ACE2 in lung tissues of non-smokers is higher than in smokers, consistent with the findings that tobacco carcinogens downregulate ACE2 in mice. Tobacco carcinogens inhibit SARS-CoV-2 Spike protein pseudovirions infection of the cells. Given that tobacco smoke accounts for 8 million deaths including 2.1 million cancer deaths annually and Skp2 is an oncoprotein, tobacco use should not be recommended and cessation plan should be prepared for smokers in COVID-19 pandemic.

cell biology↗

bioRxiv2020

Structure and mechanism of TRAPPIII-mediated Rab1 activation

The GTPase Rab1 is a master regulator of both the early secretory pathway and autophagy. Rab1 activation is controlled by its GEF (guanine nucleotide exchange factor), the multi-subunit TRAPPIII complex. The Trs85 regulatory subunit is critical for robust activation of Rab1 but its mechanistic role within the complex has remained unclear. Here we report the cryo-EM structure of the intact yeast TRAPPIII complex bound to its substrate Rab1/Ypt1. The orientation of the Rab1/Ypt1 hypervariable domain when bound to the complex leads to a model for how TRAPPIII associates with and activates Rab1/Ypt1 at the membrane surface. We identify a conserved amphipathic -helix motif within Trs85 and demonstrate that this helix is required for stable membrane binding and Rab1/Ypt1 activation by TRAPPIII. Taken together, our results provide a comprehensive analysis of the structure and function of the yeast TRAPPIII complex and reveal that the key function of Trs85 is to serve as a membrane anchor, via its amphipathic helix, for the entire TRAPPIII complex.

cell biology↗

bioRxiv2020

Genome-wide association study reveals the genetic architecture of 27 yield-related traits in tomato

Tomato (Solanum lycopersicum) is a highly valuable vegetable crop and yield is one of the most important traits. Uncovering the genetic architecture of yield-related traits in tomato is critical for the management of vegetative and reproductive development, thereby enhancing yield. Here we perform a comprehensive genome-wide association study for 27 yield-related traits in tomato. A total of 239 significant associations corresponding to 129 loci, harboring many reported and novel genes related to vegetative and reproductive development, were identified, and these loci explained an average of [~]8.8% of the phenotypic variance. A total of 51 loci associated with 25 traits have been under selection, especially during tomato improvement. Furthermore, a candidate gene, SlALMT15 that encodes an aluminum-activated malate transporter, was functionally characterized and shown to act as a pivotal regulator of leaf stomata formation through increasing photosynthesis and drought resistance. This study provides valuable information for tomato genetic research and breeding.

plant biology↗

bioRxiv2020

Modeling multiple phenotypes in wheat using data-driven genomic explanatory factor analysis and Bayesian network learning

Inferring trait networks from a large volume of genetically correlated diverse phenotypes such as yield, architecture, and disease resistance can provide information on the manner in which complex phenotypes are interrelated. However, studies on statistical methods tailored to multi-dimensional phenotypes are limited, whereas numerous methods are available for evaluating the massive number of genetic markers. Factor analysis operates at the level of latent variables predicted to generate observed responses. The objectives of this study were to illustrate the manner in which data-driven exploratory factor analysis can map observed phenotypes into a smaller number of latent variables and infer a genomic latent factor network using 45 agro-morphological, disease, and grain mineral phenotypes measured in synthetic hexaploid wheat lines (Triticum Aestivum L.). In total, eight latent factors including grain yield, architecture, flag leaf-related traits, grain minerals, yellow rust, two types of stem rust, and leaf rust were identified as common sources of the observed phenotypes. The genetic component of the factor scores for each latent variable was fed into a Bayesian network to obtain a trait structure reflecting the genetic interdependency among traits. Three directed paths were consistently identified by two Bayesian network algorithms. Flag leaf-related traits influenced leaf rust, and yellow rust and stem rust influenced grain yield. Additional paths that were identified included flag leaf-related traits to minerals and minerals to architecture. This study shows that data-driven exploratory factor analysis can reveal smaller dimensional common latent phenotypes that are likely to give rise to numerous observed field phenotypes without relying on prior biological knowledge. The inferred genomic latent factor structure from the Bayesian network provides insights for plant breeding to simultaneously improve multiple traits, as an intervention on one trait will affect the values of focal phenotypes in an interrelated complex trait system.

genetics↗

bioRxiv2020

PhenoImage: an open-source GUI for plant image analysis

High-throughput genotyping coupled with molecular breeding approaches has dramatically accelerated crop improvement programs. More recently, improved plant phenotyping methods have led to a shift from manual measurements to automated platforms with increased scalability and resolution. Considerable effort has also gone into the development of large-scale downstream processing of the imaging datasets derived from high-throughput phenotyping (HTP) platforms. However, most available tools require some programing skills. We developed PhenoImage - an open-source GUI based cross-platform solution for HTP image processing with the aim to make image analysis accessible to users with either little or no programming skills. The open-source nature provides the possibility to extend its usability to meet user-specific requirements. The availability of multiple functions and filtering parameters provides flexibility to analyze images from a wide variety of plant species and platforms. PhenoImage can be run on a personal computer as well as on high-performance computing clusters. To test the efficacy of the application, we analyzed the LemnaTec Imaging system derived RGB and fluorescence shoot images from two plant species: sorghum and wheat differing in their physical attributes. In the study, we discuss the development, implementation, and working of the PhenoImage. HighlightPhenoImage is an open-source application designed for analyzing images derived from high-throughput phenotyping.

plant biology↗

bioRxiv2020

Comparison of antimicrobial activity between intraoperatively soaked bacitracin sutures and triclosan coated suture

With the easily available option for surgeons to soak their suture in anti-biotic irrigating solution intraoperatively in mind, this study was designed to evaluate the ability of suture soaked in bacitracin irrigating solution to inhibit the growth of Staphylococcus aureus and Methicillin-resistant Staphylococcus aureus. Using standard experimental procedure, sterile suture was soaked in Bacitracin suture, and dried for 10 minutes or 6 hours, incubated for 24 h on inoculated plates, and examined for zone of inhibition around the suture. This was compared to control unsoaked suture and antimicrobial suture (AMS) currently on the market to determine if the minor intra operative procedural change of placing suture in antibiotic irrigation solution instead of on the sterile table could confer some antimicrobial activity. The study found the Bacitracin soaked suture (BSS) consistently inhibited the growth of the test organisms. For both organisms, the BSS exhibited a significantly larger zone of inhibition compared to the unsoaked control suture. However, the AMS currently on the market exhibited a larger zone of inhibition compared to the BSS. Placing sutures in a bacitracin irrigation solution intraoperatively instead of directly on the sterile table can achieve some of the in vitro antimicrobial effect seen from AMS currently on the market. This may result in reduced rates of SSIs and associated costs without major procedural change and at reduced overhead.

microbiology↗

bioRxiv2020

Caloric Restriction Remodels Energy Metabolic Pathways of Gut Microbiota and Promotes Host Autophagy

Calorie restriction (CR) can improve the metabolic balance of adults and elevate the relative abundance of probiotic bacteria in the gut while promoting longevity. However, the interaction between remodeled intestinal flora and metabolic improvement, as well as the mechanism for probiotic bacterial increase, are still unclear. In this study, using a metabolomics platform, we demonstrate for the first time, that CR leads to increased levels of malate and its related metabolites in biological samples. Next, we investigated the effects of CR on the gut microbial genome and the expression of mRNA related to energy metabolism which revealed a partially elevated TCA cycle and a subsequently promoted glyoxylate cycle, from which large amounts of malate can be produced to further impact malate related pathways in the host liver. Through the identification of key "hungry" metabolites produced by the gut microbiota that function in the promotion of autophagy in the host, further insight has been gained about a functional metabolic network important for both host-microbial symbiosis and maintenance of host health.

systems biology↗

bioRxiv2020

Variants in RABL2A causing male infertility and ciliopathy

PurposeApproximately 7% of men suffer from infertility worldwide and sperm abnormalities are the major cause. Though genetic defects are thought to underlie a substantial fraction of all male infertility cases, the actual molecular bases are usually undetermined. Because the consequences of most genetic variants in populations are unknown, this complicates genetic diagnosis even after genome sequencing of patients. Some patients with ciliopathies, including primary ciliary dyskinesia (PCD) and Bardet-Biedl syndrome (BBS), also suffer from infertility because sperm flagella, which share several characteristics with cilia, are also affected in these patients. MethodsTo identify infertility-causing genetic variants in human populations, we used in silico predictions to identify potentially deleterious SNP (single nucleotide polymorphism) alleles of RABL2A, a gene essential for normal cilia and flagella function. Candidate variants were assayed for protein stability in vitro, and the destabilizing variants were modeled in mice using CRISPR/Cas9-mediated genome editing. The resulting mice were characterized phenotypically for reproductive and developmental defects. ResultsTwo of the SNP alleles, Rabl2L119F (rs80006029) and Rabl2V158F (rs200121688), destabilized the protein. Mice bearing these alleles exhibited PCD- and BBS-associated disorders including male infertility, early growth retardation, excessive weight gain in adulthood, heterotaxia, pre-axial polydactyly, neural tube defects (NTD) and hydrocephalus. ConclusionOur study identified and validated pathogenicity of two variants causing ciliopathies and male infertility in human populations, and identified phenotypes not previously described for null alleles of Rabl2.

genetics↗

bioRxiv2020

Virus-free and live-cell visualizing SARS-CoV-2 cell entry for studies of neutralizing antibodies and compound inhibitors

The ongoing COVID-19 pandemic, caused by SARS-CoV-2 infection, has resulted in hundreds of thousands of deaths. Cellular entry of SARS-CoV-2, which is mediated by the viral spike protein and host ACE2 receptor, is an essential target for the development of vaccines, therapeutic antibodies, and drugs. Using a mammalian cell expression system, we generated a recombinant fluorescent protein (Gamillus)-fused SARS-CoV-2 spike trimer (STG) to probe the viral entry process. In ACE2-expressing cells, we found that the STG probe has excellent performance in the live-cell visualization of receptor binding, cellular uptake, and intracellular trafficking of SARS-CoV-2 under virus-free conditions. The new system allows quantitative analyses of the inhibition potentials and detailed influence of COVID-19-convalescent human plasmas, neutralizing antibodies and compounds, providing a versatile tool for high-throughput screening and phenotypic characterization of SARS-CoV-2 entry inhibitors. This approach may also be adapted to develop a viral entry visualization system for other viruses.

microbiology↗

bioRxiv2020

High expression of angiotensin-converting enzyme-2 (ACE2) on tissue macrophages that may be targeted by virus SARS-CoV-2 in COVID-19 patients

Angiotensin-converting enzyme-2 (ACE2) has been recognized as the binding receptor for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that infects host cells, causing the development of the new coronavirus infectious disease (COVID-19). To better understand the pathogenesis of COVID-19 and build up the host anti-viral immunity, we examined the levels of ACE2 expression on different types of immune cells including tissue macrophages. Flow cytometry demonstrated that there was little to no expression of ACE2 on most of the human peripheral blood-derived immune cells including CD4+ T, CD8+ T, activated CD4+ T, activated CD8+ T, CD4+CD25+CD127low/- regulatory T cells (Tregs), Th17 cells, NKT cells, B cells, NK cells, monocytes, dendritic cells (DCs), and granulocytes. Additionally, there was no ACE2 expression (< 1%) found on platelets. Compared with interleukin-4-treated type 2 macrophages (M2), the ACE2 expression was markedly increased on the activated type 1 macrophages (M1) after the stimulation with lipopolysaccharide (LPS). Immunohistochemistry demonstrated that high expressions of ACE2 were colocalized with tissue macrophages, such as alveolar macrophages found within the lungs and Kupffer cells within livers of mice. Flow cytometry confirmed the very low level of ACE2 expression on human primary pulmonary alveolar epithelial cells. These data indicate that alveolar macrophages, as the frontline immune cells, may be directly targeted by the SARS-CoV-2 infection and therefore need to be considered for the prevention and treatment of COVID-19.

immunology↗

bioRxiv2020

Acidosis, Zinc and HMGB1 in Sepsis: A Common Connection Involving Sialoglycan Recognition

Blood pH is tightly regulated between 7.35-7.45, with values below 7.3 during sepsis being associated with lactic acidosis, low serum zinc, and release of proinflammatory HMGB1 from activated and/or necrotic cells. Using an ex vivo whole blood system to model lactic acidosis, we show that while HMGB1 does not engage leukocyte receptors at physiological pH, lowering pH with lactic acid facilitates binding. At normal pH, micromolar zinc supports plasma sialoglycoprotein binding by HMGB1, which is markedly reduced when pH is adjusted with lactic acid to sepsis levels. Glycan array studies confirmed zinc and pH-dependent HMGB1 binding to sialoglycans typical of plasma glycoproteins. Thus, proinflammatory effects of HMGB1 are suppressed via plasma sialoglycoproteins until drops in pH and zinc release HMGB1 to trigger downstream immune activation. Significance StatementHMGB1 sequestered by plasma sialoglycoproteins at physiological pH is released when pH and zinc concentrations fall in sepsis.

immunology↗

bioRxiv2020

SeedExtractor: an open-source GUI for seed image analysis

ABSTRACTAccurate measurement of seed size parameters is essential for both: breeding efforts□aimed at□enhancing yields and basic research□focused on discovering genetic components that regulate seed size. To address this need, we have developed an open-source graphical user interface (GUI) software, SeedExtractor that□determines seed size and shape (including area, perimeter, length, width, circularity, and centroid), and seed color with capability to process a large number of images in a time-efficient manner. In this context, our application takes ∼2 seconds for analyzing an image, i.e. significantly less compared to the other tools. As this software is open-source, it can be modified by users□to serve more specific needs. The adaptability of SeedExtractor was demonstrated by analyzing scanned seeds from multiple crops. We further validated the utility of this application by analyzing mature-rice seeds from 231 accessions in Rice Diversity Panel 1. The derived seed-size traits, such as seed length, width, were subjected to genome-wide association analysis. We identified well-known loci for regulating seed length (GS3) and width (qSW5/GW5) in rice, which demonstrated the accuracy of this application to extract seed phenotypes and accelerate trait discovery. In summary, we present a publicly available application that can be used to determine key yield-related traits in crops.HIGHLIGHT SeedExtractor is an open-source application designed to accurately measure seed size and seed color in a time-efficient manner for a wide variety of plant species.Competing Interest StatementThe authors have declared no competing interest.View Full Text

plant biology↗

bioRxiv2020

Wild emmer introgressions alter root-to-shoot growth dynamics under water stress

Water deficit is a major limiting factor for wheat (Triticum sp.) development and productivity. One approach to increase water stress adaptation in wheat is incorporating novel alleles from the drought-adapted wheat progenitor, wild emmer (T. turgidum ssp. dicoccoides). We explored this idea in the context of vegetative growth by examining the phenotypic consequence of a series of wild emmer (acc. Zavitan) introgressions into elite durum wheat (cv. Svevo) under water-limited conditions. Using image-based phenotyping we cataloged divergent (from Svevo) growth responses to water stress ranging from high plasticity to high stability among the introgression lines. We identified an introgression line (IL20) that exhibits a highly plastic response to water stress by shifting its root-to-shoot biomass ratio for detailed characterization. By combining genotypic information with root transcriptome analysis, we propose several candidate genes (including a root-specific kinase) that can confer the shoot-to-root carbon resource allocation in IL20 under water stress. Discovery of high plasticity trait in IL20 in response to water stress highlights the potential of wild introgressions for enhancing stress adaptation via mechanisms that may be absent or rare in elite breeding material.

plant biology↗

bioRxiv2020

Activity-specificity trade-off gives PI5P4Kβ a nucleotide preference to function as a GTP-sensing kinase.

Most kinases function with ATP. However, contrary to the prevailing dogma, phosphatidylinositol 5-phosphate 4-kinase {beta} (PI5P4K{beta}) utilizes GTP as a primary phosphate donor with a unique binding mode for GTP. Although PI5P4K{beta} is evolved from a primordial ATP-utilizing enzyme, PI4P5K, how PI5P4K{beta} evolutionarily acquired the GTP preference to function as a cellular GTP sensor remains unclear. In this study, we show that the short nucleotide base-recognition motif, TRNVF, is responsible for the GTP binding of PI5P4K{beta}, and also confers onto PI5P4K{beta} an unexpected specificity that extends to inosine triphosphate (ITP) and xanthosine triphosphate (XTP). A mutational study with GTP analogues suggests that the extended specificity is an obligatory consequence to the acquisition of GTP-dependent activity. However, as the cellular concentrations of ITP and XTP are typically negligible, PI5P4K{beta} can still function as a GTP sensor, suggesting that the cellular physiological conditions leave room for the functional evolution of PI5P4K{beta}.

biochemistry↗

bioRxiv2020

Loss of hepatic aldolase B activates Akt and promotes hepatocellular carcinogenesis by destabilizing Aldob/Akt/PP2A protein complex

Loss of hepatic fructose-1, 6-bisphosphate aldolase B (Aldob) leads to a paradoxical upregulation of glucose metabolism to favor hepatocellular carcinogenesis but the upstream signaling events remain poorly defined. Akt is highly activated in HCC and targeting Akt is being explored as a potential therapy for HCC. Herein we demonstrate that Aldob suppresses Akt activity through a protein complex containing Aldob, Akt, and protein phosphatase 2A (PP2A), leading to inhibition of cell viability, cell cycle progression, glucose metabolism and tumor growth. Interestingly, Aldob directly interacts with phosphorylated Akt (p-Akt) and promotes the recruitment of PP2A to dephosphorylate p-Akt, and this scaffolding effect of Aldob is independent of its enzymatic activity. Loss of Aldob or disruption of Aldob/Akt interaction in Aldob R304A mutant restores Akt activity and tumor promoting effects. Consistently, Aldob and p-Akt expression are inversely correlated in human HCC tissues, and Aldob downregulation coupled with p-Akt upregulation predicts a poor prognosis for HCC. We have further discovered that a specific small-molecule activator of PP2A (SMAP) efficiently attenuates HCC tumorigenesis in Aldob-deficient cell lines and xenografts. Our work reveals a novel non-glycolytic role of Aldob in negative regulation of Akt activation, suggesting that inhibiting Akt activity and reactivating PP2A may be a potential therapeutic approach for HCC treatment.

cancer biology↗