Biology subjects

Zhang, N.

Publications and source records attributed to Zhang, N..

At least 289 records · Page 16Linked to original sources

bioRxiv2020

Performance characterization of PCR-free whole genome sequencing for clinical diagnosis

PurposeTo evaluate the performance of PCR-free whole genome sequencing (WGS) for clinical diagnosis, and thereby revealing how experimental parameters affect variant detection. MethodsAll the 5 NA12878 samples were sequenced using MGISEQ-2000. NA12878 samples underwent WGS with differing DNA input and library preparation protocol (PCR-based versus PCR-free protocols for library preparation). The DP (depth of coverage) and GQ (genotype quality) of each sample were compared. We developed a systematic WGS pipeline for the analysis of down-sampling samples of the 5 NA12878 samples. The performance of each sample was measured for sensitivity, coverage of depth and breadth of coverage of disease-related genes and CNVs. ResultsIn general, NA12878-2 (PCR-free WGS) showed better DP and GQ distribution than NA12878-1 (PCR-based WGS). With a mean depth of ~40X, the sensitivity of homozyous and heterozygous SNPs of NA12878-2 showed higher sensitivity (>99.77% and > 99.82%) than NA12878-1, and positive predictive value (PPV) exceeded 99.98% and 99.07%. The sensitivity and PPV of homozygous and heterozygous indels for NA12878-2 (PCR-free WGS) showed great improvement than NA128878-1. The breadths of coverage for disease-related genes and CNVs are slightly better for samples with PCR-free library preparation protocol than the sample with PCR-based library preparation protocol. DNA input also influences the performance of variant detection in samples with PCR-free WGS. ConclusionDifferent experimental parameters may affect variant detection for clinical WGS. Clinical scientists should know the range of sensitivity of variants for different methods of WGS, which would be useful when interpreting and delivering clinical reports.

genetics↗

bioRxiv2020

The disordered regions of SETD2 govern H3K36me3 deposition by regulating its proteasome-mediated decay

SETD2 is the sole methyltransferase that tri-methylates histone H3 at lysine 36 in mammals. It has an extended N-terminal region which is absent in its yeast homolog Set2. The function of this poorly characterized region in regulating SETD2 stability has been reported. However, how this region regulates SETD2 half-life and the consequences of the cellular accumulation of SETD2 is unclear. Here we show that the SETD2 N-terminal region contains disordered regions and is targeted for degradation by the proteasome. The marked increase in global H3K36me3 that occurs on the removal of the N-terminal segment results in a non-canonical distribution including reduced enrichment over gene bodies and exons. An increased SETD2 abundance leads to widespread changes in transcription and alternative splicing. Thus, the regulation of SETD2 levels through intrinsically disordered region-facilitated proteolysis is important to maintain the fidelity of transcription and splicing related processes.

biochemistry↗

bioRxiv2020

The histone methyltransferase SETD2 couples transcription and splicing by engaging pre-mRNA processing factors through its SHI domain

Heterogeneous ribonucleoproteins (hnRNPs) are RNA binding molecules that are involved in key processes such as RNA splicing and transcription. One such hnRNP protein, hnRNP L, regulates alternative splicing (AS) by binding to pre-mRNA transcripts. However, it is unclear what factors contribute to hnRNP L-regulated AS events. Using proteomic approaches, we identified several key factors that co-purify with hnRNP L. We demonstrate that one such factor, the histone methyltransferase SETD2, specifically interacts with hnRNP L in vitro and in vivo. This interaction occurs through a previously uncharacterized domain in SETD2, the SETD2-hnRNP L Interaction (SHI) domain, the deletion of which, leads to a reduced H3K36me3 deposition. Functionally, SETD2 regulates a subset of hnRNP L-targeted AS events. Our findings demonstrate that SETD2 by interacting with Pol II as well as hnRNP L, can mediate the crosstalk between the transcription and the splicing machinery.

biochemistry↗

bioRxiv2020

Regulation of SETD2 stability by its intrinsically disordered regions maintains the fidelity of H3K36me3 deposition

The histone H3K36me3 mark regulates transcription elongation, pre-mRNA splicing, DNA methylation, and DNA damage repair. However, knowledge of the regulation of the enzyme SETD2, which deposits this functionally important mark, is very limited. Here we show that the poorly characterized N-terminal region of SETD2 plays a determining role in regulating the stability of SETD2. This stretch of 1-1403 amino acids contributes to the robust degradation of SETD2 by the proteasome. Besides, the SETD2 protein is aggregate-prone and forms insoluble bodies in nuclei especially upon proteasome inhibition. Removal of the N-terminal segment results in the stabilization of SETD2 and leads to a marked increase in global H3K36me3 which, uncharacteristically, happens in a Pol II-independent manner. Thus, the regulation of SETD2 levels through proteasomal mediated decay is important to maintain the fidelity of H3K36me3 deposition.

biochemistry↗

bioRxiv2020

Broad-spectrum virucidal activity of bacterial secreted lipases against flaviviruses, SARS-CoV-2 and other enveloped viruses

Viruses are the major aetiological agents of acute and chronic severe human diseases that place a tremendous burden on global public health and economy; however, for most viruses, effective prophylactics and therapeutics are lacking, in particular, broad-spectrum antiviral agents. Herein, we identified 2 secreted bacterial lipases from a Chromobacterium bacterium, named Chromobacterium antiviral effector-1 (CbAE-1) and CbAE-2, with a broad-spectrum virucidal activity against dengue virus (DENV), Zika virus (ZIKV), severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), human immunodeficiency virus (HIV) and herpes simplex virus (HSV). The CbAEs potently blocked viral infection in the extracellular milieu through their lipase activity. Mechanistic studies showed that this lipase activity directly disrupted the viral envelope structure, thus inactivating infectivity. A mutation of CbAE-1 in its lipase motif fully abrogated the virucidal ability. Furthermore, CbAE-2 presented low toxicity in vivo and in vitro, highlighting its potential as a broad-spectrum antiviral drug.

microbiology↗

bioRxiv2020

Rapid adaptation of SARS-CoV-2 in BALB/c mice: Novel mouse model for vaccine efficacy

Coronavirus disease 2019 (COVID-19) threatens global public health and economy. In order to develop safe and effective vaccines, suitable animal models must be established. Here we report the rapid adaption of SARS-CoV-2 in BALB/c mice, based on which a convenient, economical and effective animal model was developed. Specifically, we found that mouse-adapted SARS-CoV-2 at passage 6 (MACSp6) efficiently infected both aged and young wild-type BALB/c mice, resulting in moderate pneumonia as well as inflammatory responses. The elevated infectivity of MACSp6 in mice could be attributed to the substitution of a key residue (N501Y) in the receptorbinding domain (RBD). Using this novel animal model, we further evaluated the in vivo protective efficacy of an RBD-based SARS-CoV-2 subunit vaccine, which elicited highly potent neutralizing antibodies and conferred full protection against SARS-CoV-2 MACSp6 challenge. This novel mouse model is convenient and effective in evaluating the in vivo protective efficacy of SARS-CoV-2 vaccine. SummaryThis study describes a unique mouse model for SARS-CoV-2 infection and confirms protective efficacy of a SARS-CoV-2 RBD subunit vaccine.

microbiology↗

bioRxiv2020

PremPRI: Predicting the Effects of Single Mutations on Protein-RNA Interactions

Protein-RNA interactions are crucial for many cellular processes, such as protein synthesis and regulation of gene expression. Missense mutations that alter protein-RNA interaction may contribute to the pathogenesis of many diseases. Here we introduce a new computational method PremPRI, which predicts the effects of single mutations occurring in RNA binding proteins on the protein-RNA interactions by calculating the binding affinity changes quantitatively. The multiple linear regression scoring function of PremPRI is composed of 11 sequence- and structure-based features, and is parameterized on 248 mutations from 50 protein-RNA complexes. Our model shows a good agreement between calculated and experimental values of binding affinity changes with Pearson correlation coefficient of 0.72 and the corresponding root-mean-square error of 0.76 kcal mol-1, outperforming three other available methods. PremPRI can be used for finding functionally important variants, understanding the molecular mechanisms, and designing new protein-RNA interaction inhibitors. PremPRI is freely available at http://lilab.jysw.suda.edu.cn/research/PremPRI/.

bioinformatics↗

bioRxiv2020

PremPS: Predicting the Effects of Single Mutations on Protein Stability

Protein stability is related to its functional activities, and effect on stability or misfolding could be one of the major disease-causing mechanisms of missense mutations. Here we developed a novel machine learning computational method PremPS, which predicts the effects of single mutations on protein stability by calculating the changes in unfolding Gibbs free energy. PremPS uses only ten evolutionary- and structure-based features and is parameterized on five thousand mutations. Our approach outperforms previous methods and shows a considerable improvement in estimating the effects of mutations increasing protein stability. In addition, PremPS presents an outstanding performance in predicting the pathogenicity of missense mutations using an experimental dataset composed of two thousand non-neutral and neutral mutations. PremPS can be applied to many tasks, including finding functionally important variants, revealing the molecular mechanisms of functional influences and protein design. It is freely available at https://lilab.jysw.suda.edu.cn/research/PremPS/. Key PointsO_LIConsiderable improvement in estimating the effects of mutations increasing protein stability; C_LIO_LIComprehensive comparison with other 25 computational methods on different test sets; C_LIO_LIAn outstanding performance in predicting the pathogenicity of missense mutations; C_LIO_LIPremPS employs only ten distinct features belonging to six categories, and the most important feature describes evolutionary conservation of the site; C_LIO_LIThe webserver allows to do large-scale mutational scanning and takes about ten minutes to perform calculations for one thousand mutations from a normal size protein. C_LI

bioinformatics↗

bioRxiv2020

Metabolomic markers of colorectal tumor with different clinicopathological features

BackgroundColorectal cancer (CRC) is the result of complex interactions between the tumors molecular profile and metabolites produced by its microenvironment. Despite recent studies identifying CRC molecular subtypes, a metabolic classification system is still lacking. We aimed to explore the distinct phenotypes and subtypes of CRC at the metabolic level. MethodsWe conducted an untargeted metabolomics analysis of 51 paired tumor tissues and adjacent mucosa using ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry. Multivariate analysis including principal component analysis, orthogonal partial least squares discriminant analysis and heat maps, univariate analysis, and pathway analysis were used to identify potential metabolic phenotypes of CRC. Unsupervised consensus clustering were used to identify robust metabolic subtypes, and evaluated their clinical relevance. ResultsA total of 173 metabolites (including nucleotides, carbohydrates, free fatty acids, and choline) were identified between CRC tumor tissue and adjacent mucosa. We found that lipid metabolism was closely related to the occurrence and progression of CRC and CRC tissues could be divided into three subtypes, and statistically significant correlations between different subtypes and clinical prognosis were observed. ConclusionsCRC tumor tissue exhibits distinct metabolic phenotypes. Metabolic differences between subtypes may provide a basis and direction for further clinical individualized treatment planning.

cancer biology↗

bioRxiv2020

Global Profiling of 2-hydroxyisobutyrylome in Common Wheat

As a novel post-translational modification (PTM), lysine 2-hydroxyisobutyrylation (Khib) has been found to play a role in active gene transcription in mammalian cells and yeast, but the function of Khib proteins in plants remains unknown. In this study, we used western blot to demonstrate that Khib is an evolutionarily-conserved PTM in wheat and its donators, with the highest Khib abundance occurring in hexaploidy wheat. Additionally, global profiling using affinity purification and mass spectroscopy of 2-hydroxyisobutyrylome revealed that there were 3348 lysine modification sites from 1074 proteins in common wheat (Triticum aestivum L.). Moreover, bioinformatic data indicated that Khib proteins participate in a wide variety of biological and metabolic pathways. Immunoprecipitation and western blot confirmed that Khib proteins had an in vivo origin. A comparison of Khib and other major PTMs revealed that Khib proteins were simultaneously modified by multiple PTMs. Using mutagenesis experiments and Co-IP, we demonstrated that Khib on K206 is a key regulatory modification of phosphoglycerate kinase enzymatic activity and found that de-Khib on K206 affects protein interactions. Furthermore, Khib production of low-molecular-weight proteins was a response to the deacetylase inhibitors nicotinamide and trichostatin A. This study provides evidence that enhances our current understanding of Khib in wheat plants, including the cooperation between this PTM and metabolic regulation.

plant biology↗

bioRxiv2020

Tomato wall-associated kinase SlWak1 acts in an Fls2- and Fls3-dependent manner to promote apoplastic immune responses to Pseudomonas syringae

Wall-associated kinases (Waks) are known to be important components of plant immunity against various pathogens including Pseudomonas syringae pv. tomato (Pst) although their molecular mechanisms are largely unknown. In tomato, SlWak1 has been implicated in immunity because its transcript abundance increases significantly in leaves after treatment with the flagellin-derived peptides flg22 and flgII-28, which activate the receptors Fls2 and Fls3, respectively. We generated two SlWak1 tomato mutants ({Delta}wak1) using CRISPR/Cas9 and investigated the role of SlWak1 in tomato-Pst interactions. PTI activated in the apoplast by flg22 or flgII-28 was compromised in {Delta}wak1 plants but PTI at the leaf surface was unaffected. The {Delta}wak1 plants developed fewer callose deposits than wild-type plants but retained the ability to generate reactive oxygen species and activate MAPKs in response to flg22 and flgII-28. The induction of Wak1 gene expression by flg22 and flgII-28 was greatly reduced in a tomato mutant lacking Fls2 and Fls3 but induction of Fls3 gene expression by flgII-28 was unaffected in {Delta}wak1 plants. After Pst inoculation, {Delta}wak1 plants developed disease symptoms more slowly than {Delta}fls2.1/fls2.2/fls3 mutant plants, although both plants ultimately were similarly susceptible. SlWak1 co-immunoprecipitated with both Fls2 and Fls3 independently of flg22/flgII-28 or Bak1. These observations suggest that SlWak1 acts in a complex with Fls2/Fls3 and plays an important role at later stages of the PTI in the apoplast.

plant biology↗

bioRxiv2020

Specificity and effector functions of non-neutralizing gB-specific monoclonal antibodies isolated from healthy individuals with human cytomegalovirus infection

Human cytomegalovirus (HCMV) is the most common congenital infection, and the leading nongenetic cause of sensorineural hearing loss (SNHL) in newborns globally. A gB subunit vaccine administered with adjuvent MF59 (gB/MF59) is the most efficacious tested to-date, achieving 50% efficacy in preventing infection of HCMV-seronegative mothers. We recently discovered that gB/MF59 vaccination elicited primarily non-neutralizing antibody responses, that HCMV strains acquired by vaccinees more often included strains with gB genotypes that are distinct from the vaccine antigen, and that protection against HCMV acquisition correlated with ability of vaccine-elicited antibodies to bind to membrane associated gB. Thus, we hypothesized that gB-specific non-neutralizing antibody binding breadth and function are dependent on their epitope and genotype specificity as well as their ability to interact with membrane-associated gB. Twenty-four gB-specific monoclonal antibodies (mAbs) isolated from naturally HCMV-infected individuals were mapped for gB domain specificity by binding antibody multiplex assay (BAMA) and for genotype preference binding to membrane-associated gB presented on transfected cells. We defined their non-neutralizing functions including antibody dependent cellular phagocytosis (ADCP) and antibody dependent cellular cytotoxicity (ADCC). The isolated gB-specific non-neutralizing mAbs were primarily specific for Domain II and linear antigenic domain 2 site 2 (AD2). We observed variability in mAb gB genotype binding preference, with increased binding to gB genotypes 2 and 4. Functional studies identified two gB-specific mAbs that facilitate ADCP and have binding specificities of AD2 and Domain II. This investigation provides novel understanding on the impact of gB domain specificity and antigenic variability on gB-specific non-neutralizing antibody responses. ImportanceHCMV is the most common congenital infection worldwide, but development of a successful vaccine remains elusive. gB-specific non-neutralizing mAbs, represent a distinct anti-HCMV Ab subset implicated in the protection against primary infection during numerous phase-II gB/MF59 vaccine trials. By studying non-neutralizing gB-specific mAbs from naturally infected individuals, this study provides novel characterization of binding site specificity, genotypic preference, and effector cell functions mediated by mAbs elicited in natural infection. We found that a panel of twenty-four gB-specific non-neutralizing mAbs bind across multiple regions of the gB protein, traditionally through to be targeted by neutralizing mAbs only, and bind differently to gB depending if the protein is soluble versus embedded in a membrane. This investigation provides novel insight into the gB-specific binding characteristics and effector cell functions mediated by non-neutralizing gB-specific mAbs elicited through natural infection, providing new endpoints for future vaccine development.

immunology↗

bioRxiv2019

Acetylation is required for NLRP3 self-aggregation and full activation of the inflammasome

The full activation of NLRP3 inflammasome needs two sequential signals: the fist priming signal and the second assembly signal. Various stimuli including infections and stress signals can provide the assembly signal. However, how NLRP3 detects diverse stimuli and becomes fully activated remain largely unknown. In this study, we found the second signal specially triggers the acetylation of NLRP3, which facilitates the aggregation of NLRP3 and its interaction with ASC and NEK7, thus promoting the assembly of inflammasome. Meanwhile, by employing pharmacological and molecular approaches, we identified KAT5 as a regulator of NLRP3 acetylation and activation. Furthermore, KAT5 specific inhibitor-NU9056 exhibited a robust suppressive effect on NLRP3 inflammasome both in vitro and in vivo. Thus, our study reveals a new mechanism for NLRP3 full activation and suggests targeting NLRP3 acetylation may provide a new approach for treatment of NLRP3 associated diseases.

immunology↗

bioRxiv2019

Na2CO3-Responsive Photosynthetic and ROS Scavenging Mechanisms in Chloroplasts of Alkaligrass Revealed by Phosphoproteomics

Alkali-salinity exerts severe osmotic, ionic and high-pH stresses to plants. To understand the alkali-salinity responsive mechanisms underlying photosynthetic modulation and reactive oxygen species (ROS) homeostasis, physiological and diverse quantitative proteomics analyses of alkaligrass (Puccinellia tenuiflora) under Na2CO3 stress were conducted. In addition, Western blot, real-time PCR, and transgenic techniques were applied to validate the proteomic results and test the functions of the Na2CO3-responsive proteins. A total of 104 and 102 Na2CO3-responsive proteins were identified in leaves and chloroplasts, respectively. In addition, 84 Na2CO3-responsive phosphoproteins were identified, including 56 new phosphorylation sites in 56 phosphoproteins from chloroplasts, which are crucial for the regulation of photosynthesis, ion transport, signal transduction and energy homeostasis. A full-length PtFBA encoding an alkaligrass chloroplastic fructose-bisphosphate aldolase (FBA) was overexpressed in wild-type cells of cyanobacterium Synechocystis sp. Strain PCC 6803, leading to enhanced Na2CO3 tolerance. All these results indicate that thermal dissipation, state transition, cyclic electron transport, photorespiration, repair of photosystem (PS) II, PSI activity, and ROS homeostasis were altered in response to Na2CO3 stress, and they have improved our understanding of the Na2CO3-responsive mechanisms in halophytes.

plant biology↗

bioRxiv2019

An open database of resting-state fMRI in awake rats

Rodent models are essential to translational research in health and disease. Investigation in rodent brain function and organization at the systems level using resting-state functional magnetic resonance imaging (rsfMRI) has become increasingly popular, owing to its high spatial resolution and whole-brain coverage. Due to this rapid progress, shared rodent rsfMRI databases can be of particular interest and importance to the scientific community, as inspired by human neuroscience and psychiatric research that are substantially facilitated by open human neuroimaging datasets. However, such databases in rats are still lacking. In this paper, we share an open rsfMRI database acquired in 90 rats with a well-established awake imaging paradigm that avoids anesthesia interference. Both raw and preprocessed data are made publically available. Procedures in data preprocessing to remove artefacts induced by the scanner, head motion, non-neural physiological noise are described in details. We also showcase inter-regional functional connectivity and functional networks calculated from the database.

neuroscience↗

bioRxiv2019

Generation and molecular characterization of CRISPR/Cas9-induced mutations in 63 immunity-associated genes in tomato reveals specificity and a range of gene modifications

The CRISPR/Cas9 system is a powerful tool for targeted gene editing in many organisms including plants. However, most of the reported uses of CRISPR/Cas9 in plants have focused on modifying one or a few genes, and thus the overall specificity, types of mutations, and heritability of gene alterations remain unclear. Here we describe the molecular characterization of 361 T0 transgenic tomato plants that were generated using CRISPR/Cas9 to induce mutations in 63 immunity-associated genes. Among the T0 transformed plants, 245 carried mutations (68%), with 20% of those plants being homozygous for the mutation, 30% being heterozygous, 32% having two different mutations (biallelic) and 18% having multiple mutations (chimeric). The mutations were predominantly short insertions or deletions, with 87% of the affected sequences being smaller than 10 bp. The majority of 1 bp insertions were A (50%) or T (29%). The mutations from the T0 generation were stably transmitted to later generations, although new mutations were detected in some T1 plants. No mutations were detected in 18 potential off-target sites among 144 plants. Our study provides a broad and detailed view into the effectiveness of CRISPR/Cas9 for genome editing in an economically important plant species.

plant biology↗

bioRxiv2019

Genome assembly of the common pheasant Phasianus colchicus, a model for speciation and ecological genomics

The common pheasant (Phasianus colchicus) in the order Galliformes and the family Phasianidae, has 30 subspecies distributed across its native range in the Palearctic realm and has been introduced to Europe, North America, and Australia. It is an important game bird often subjected to wildlife management as well as a model species to study speciation, biogeography and local adaptation. However, the genomic resources for the common pheasant are generally lacking. We sequenced a male individual of the subspecies torquatus of the common pheasant with the Illumina Hiseq platform. We obtained 94.88 Gb of usable sequences by filtering out low-quality reads of the raw data generated. This resulted in a 1.02 Gb final assembly, which equals the estimated genome size. BUSCO analysis using chicken as a model showed that 93.3% of genes were complete. The contig N50 and scaffold N50 sizes were 178 kb and 10.2 Mb, respectively. All these indicate that we obtained a high-quality genome assembly. We annotated 16,485 protein-coding genes and 123.3 Mb (12.05 % of the genome) of repetitive sequences by ab initio and homology-based prediction. Furthermore, we applied a RAD-sequencing approach for another 45 individuals of seven representative subspecies in China and identified 4,376,351 novel single nucleotide polymorphism (SNPs) markers. Using this unprecedented dataset, we uncover the geographic population structure and genetic introgression among common pheasants in China. Our results provide the first high-quality reference genome for the common pheasant and a valuable genome-wide SNP database for studying population genomics and demographic history.

genomics↗

bioRxiv2019

Prophage induction mediated by quorum sensing signals alters soil bacterial community structure

Recent findings have revealed a role for bacterial quorum sensing communication in bacteriophage (phage) reproduction decisions. However quorum sensing based phage-host interactions remain largely unknown, with the mechanistic details revealed for only a few phage-host pairs and a dearth of information available at the microbial community level. Here we report on the specific action of individual quorum-sensing signals (acyl-homoserine lactones; AHLs varying in acyl-chain length from four to 14 carbon atoms) on prophage induction in soil microbial communities. AHL treatment significantly decreased the bacterial diversity (Shannon Index) but did not significantly impact species richness. Exposure to short chain-length AHLs resulted in a decrease in the abundance of different taxa than exposure to higher molecular weight AHLs. Each AHL targeted a different subset of bacterial taxa. Our observations demonstrate that individual AHLs trigger prophage induction in different bacterial taxa leading to changes in microbial community structure.

microbiology↗