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Zhang, S.

Publications and source records attributed to Zhang, S..

At least 1,189 records · Page 66Linked to original sources
bioRxiv2019

MaXLinker: proteome-wide cross-link identifications with high specificity and sensitivity

Protein-protein interactions play a vital role in nearly all cellular functions. Hence, understanding their interaction patterns and three-dimensional structural conformations can provide crucial insights about various biological processes and underlying molecular mechanisms for many disease phenotypes. Cross-linking mass spectrometry has the unique capability to detect protein-protein interactions at a large scale along with spatial constraints between interaction partners. However, the current cross-link search algorithms follow an "MS2-centric" approach and, as a result, suffer from a high rate of mis-identified cross-links (~15%). We address this urgent problem, by designing a novel "MS3-centric" approach for cross-link identification and implemented it as a search engine called MaXLinker. MaXLinker significantly outperforms the current state of the art search engine with up to 18-fold lower false positive rate. Additionally, MaXLinker results in up to 31% more cross-links, demonstrating its superior sensitivity and specificity. Moreover, we performed proteome-wide cross-linking mass spectrometry using K562 cells. Employing MaXLinker, we unveiled the most comprehensive set of 9,319 unique cross-links at 1% false discovery rate, comprising 8,051 intraprotein and 1,268 interprotein cross-links. Finally, we experimentally validated the quality of a large number of novel interactions identified in our study, providing a conclusive evidence for MaXLinkers robust performance.

systems biology↗
bioRxiv2019

Moraxellaceae and Moraxella interact with the altered airway mycobiome in asthma

Airway microbial-microbial interaction plays an important role in chronic airway inflammatory diseases such as asthma. Moraxella is widely regarded as a human respiratory tract pathogen. We aimed to investigate the interactions among Moraxella, Moraxellaceae (to which Moraxella belongs) and the airway microbiome in asthma. Induced sputum samples were obtained from 116 asthma patients and 29 healthy individuals, and the bacterial/fungal communities were profiled using 16S rRNA and ITS1 DNA gene sequencing. We found that asthma patients harboured significantly greater airway bacterial and fungal -diversity than that of healthy individuals. Moraxellaceae, Moraxella and Moraxella otu19 (bacteria), and Schizophyllaceae, Polyporaceae, Aspergillus, Schizophyllum and Candida (fungi) were increased in the airway of asthma. Moreover, Moraxellaceae, Schizophyllaceae, Polyporaceae and Candida were positively associated with airway fungal -diversity. Correlation networks revealed Moraxellaceae and Moraxella as microbial \"hubs\" in asthma that had significant negative connections with multiple bacterial communities, such as Leptotrichiaceae, Lachnospiraceae, Peptostreptococcaceae, Porphyromonadaceae, Prevotella, Veillonella, Rothia and Leptotrichia, but positive interactions with fungal communities such as Schizophyllaceae, Polyporaceae, Candida and Meyerozyma. Together, our finding revealed an altered microbiome and complex microbial-microbial interactions in the airway of asthma. Moraxellaceae and Moraxella showed significant interactions with the airway mycobiome, providing potential insights into the novel pathogenic mechanisms of asthma.\n\nIMPORTANCEWith the advent of culture-independent techniques, growing evidence suggests that the airway microbiome is closely correlated with chronic respiratory diseases such as asthma. The complex microbial-microbial interaction exists in the airways of both healthy individuals and patients with respiratory diseases, which is of great significance for the pathogenesis and disease progression of asthma. In this study, we evaluated the airway dysbiosis in asthma patients, described the interaction between Moraxellaceae, Moraxella and airway bacterial/fungal communities, and it contributes to further understanding the pathogenic mechanisms of asthma.

microbiology↗
bioRxiv2019

Development of Human Neuroblastomas in Mouse-Human Neural Crest Chimeras

Neuroblastoma (NB), derived from the neural crest (NC), is the most common pediatric extracranial solid tumor. Here we establish a platform that allows studying human NBs in mouse-human NC chimeras. Chimeric mice were produced by injecting human NC cells carrying NB relevant oncogenes in-utero into gastrulating mouse embryos. The mice developed tumors composed of a heterogenous cell population that closely resembled that seen in primary NBs of patients but were significantly different from homogenous tumors formed in xenotransplantation models. The human tumors emerged in immunocompetent hosts and were extensively infiltrated by mouse cytotoxic T cells reflecting a vigorous host anti-tumor immune response. However, the tumors blunted the immune response by inducing infiltration of regulatory T cells and expression of immune checkpoints similar to escape mechanisms seen in human cancer patients. Thus, this experimental platform allows studying human tumor initiation, progression, manifestation and tumor - immune-system interactions in an animal model system.

cancer biology↗
bioRxiv2019

Introducing RpsA Point Mutation Δ438A or D123A into the Chromosome of M. tuberculosis Confirms its Role in Causing Resistance to Pyrazinamide

Pyrazinamide (PZA) is a unique frontiline drug for shortening tuberculosis treatment, but its mechanisms of action are elusive. We previously identified RpsA as a target of PZA and found an alanine deletion at position 438 ({Delta}438A) in RpsA associated with PZA resistance, but its role in PZA resistance is controversial. Here, we introduced RpsA mutation {Delta}438A or D123A into M. tuberculosis chromosome and demonstrated that the introduced RspA mutations are indeed responsible for PZA resistance.

microbiology↗
bioRxiv2019

Depression and Anxiety in Healthcare Staffs in A Tertiary University Hospital in Luoyang, Henan Province: A Cross-Sectional Observational Study

Abstract ObjectiveMental health condition of medical professionals in China is under-recognized. The current study aimed to determine the prevalence of depression and anxiety among healthcare professionals and explore the potential influence factors.\n\nMethodThe study employed a cross-sectional design. All employees were surveyed in the first week of September 2017. General information included gender, age, workload, workplace violence, sleep quality and so on. Depression and anxiety were evaluated using PHQ-9 and GAD-7, respectively. SPSS 22.0 was used for data analysis. Logistic regression was conducted to explore risk factors contributed to metal health.\n\nResultsA total of 1,950 questionnaires were delivered, and 1,864 were returned with a response rate of 95.6%. The prevalence of depression and anxiety were 24.1% and 28.9%. As for workload, the average number of beds in charge per month is 65.97{+/-}95.58 beds, among which internal medicine department and surgical department endure more workloads. Though workers in ER and ICU manage fewer beds, they bear the longest nonstop working length in the previous month (19.18{+/-}10.82 h). There were 78.0% had suffered WPV in the preceding year. Staffs in ER and ICU are at higher risk to physical violence, especially doctors. Regarding to sleep quality, only 9.2% participants reported that they sleep well. Logistic regression indicated that workplace violence and sleep quality were independent risk factors for both anxiety and depression.\n\nConclusionThe current study revealed the devastating conditions of mental disorders in medical workers and associated factors. Effective interventions are necessary to improve this situation.

scientific communication and education↗
bioRxiv2019

iTALK: an R Package to Characterize and Illustrate Intercellular Communication

Crosstalk between tumor cells and other cells within the tumor microenvironment (TME) plays a crucial role in tumor progression, metastases, and therapy resistance. We present iTALK, a computational approach to characterize and illustrate intercellular communication signals in the multicellular tumor ecosystem using single-cell RNA sequencing data. iTALK can in principle be used to dissect the complexity, diversity, and dynamics of cell-cell communication from a wide range of cellular processes.

cancer biology↗
bioRxiv2018

Can cancer GWAS variants modulate immune cells in the tumor microenvironment?

Genome-wide association studies (GWAS) have hitherto identified several genetic variants associated with cancer susceptibility, but the molecular functions of these risk modulators remain largely uncharacterized. Recent studies have begun to uncover the regulatory potential of non-coding GWAS SNPs by using epigenetic information in corresponding cancer cell types and matched normal tissues. However, this approach does not explore the potential effect of risk germline variants on other important cell types that constitute the microenvironment of tumor or its precursor. This paper presents evidence that the breast cancer-associated variant rs3903072 may regulate the expression of CTSW in tumor infiltrating lymphocytes. CTSW is a candidate tumor-suppressor gene, with expression highly specific to immune cells and also positively correlated with breast cancer patient survival. Integrative analyses suggest a putative causative variant in a GWAS-linked enhancer in lymphocytes that loops to the 3 end of CTSW through three-dimensional chromatin interaction. Our work thus poses the possibility that a cancer-associated genetic variant might regulate a gene not only in the cell of cancer origin, but also in immune cells in the microenvironment, thereby modulating the immune surveillance by T lymphocytes and natural killer cells and affecting the clearing of early cancer initiating cells.

cancer biology↗
bioRxiv2018

Genome sequencing analysis identifies high-risk Epstein-Barr virus subtypes for nasopharyngeal carcinoma

Epstein-Barr virus (EBV) infection is ubiquitous worldwide and associated with multiple cancers including nasopharyngeal carcinoma (NPC). The role of EBV viral genomic variation in NPC development and its striking endemicity in southern China has been poorly explored. Through large-scale genome sequencing and association study of EBV isolates from China, we identified two non-synonymous EBV variants within BALF2 strongly associated with NPC risk (conditional P value 1.75x10-6 for SNP162476_C and 3.23x10-13 for SNP163364_T), whose cumulative effects contributed to 83% of the overall risk in southern China. Phylogenetic analysis of the risk variants revealed a unique origin in southern China followed by clonal expansion. EBV BALF2 haplotype carrying the risk variants were shown to reduce viral lytic DNA replication, as a result potentially promoting viral latency. Our discovery has not only provided insight to the unique endemic pattern of NPC occurrence in southern China, but also paved the way for the identification of individuals at high risk of NPC and effective intervention program to reduce the disease burden in southern China.

genetics↗
bioRxiv2018

Early detection of retinal alteration by visible and near-infrared optical coherence tomography (vnOCT) in a dexamethasone-induced ocular hypertension mouse model

PurposeTo apply a novel visible and near-infrared optical coherence tomography (vnOCT) in the dexa-methasone-induced ocular hypertension mouse model, and test the capability of four optical markers, peri-papillary retinal nerve fiber layer (RNFL) thickness, total retinal blood flow, VN ratio and hemoglobin oxygen saturation (sO2), in detecting retinal ganglion cell (RGC) damage in association with ocular hyper-tension.\n\nMethodsTwelve mice (C57BL/6J) were separated into a control (n=6) and a dexamethasone group (n=6) receiving twice daily saline or dexamethasone eye drops, respectively, for 7 weeks. Intraocular pressure (IOP) measurements were taken at baseline and weekly. Optical measurements by vnOCT were longitudinally taken at baseline, 4 weeks and 7 weeks. Following week 7, ex vivo RGC counting was performed by immunostaining.\n\nResultsThe dexamethasone group showed a measurable rise in IOP by week 2. Despite the IOP differences between the dexamethasone and control groups, there was not a statistical difference in RNFL thickness or total blood flow over 7 weeks. The dexamethasone group did show an increase in retinal arteriovenous sO2 difference (A-V sO2) that was significant at week 4 and 7. The RNFL VN ratio showed a significant decrease at week 4 and 7 in dexamethasone group associated with a decreased RGC count.\n\nConclusionsRNFL VN ratio and A-V sO2 are capable of detecting early retinal alterations in the dexamethasone-induced ocular hypertension mouse model. Data analysis suggests VN ratio and A-V sO2 are corralated with RGC loss secondary to ocular hypertension, while being independent of IOP.

bioengineering↗
bioRxiv2018

Both Fallopian Tube and Ovarian Surface Epithelium Can Act as Cell-of-Origin for High Grade Serous Ovarian Carcinoma

The cell-of-origin of high grade serous ovarian carcinoma (HGSOC) remains controversial, with fallopian tube epithelium (FTE) and ovarian surface epithelium (OSE) each suggested as candidates. Here, by using genetically engineered mouse models and novel organoid systems, we assessed the tumor-forming capacity and properties of FTE and OSE harboring the same oncogenic abnormalities. Combined RB family inactivation (via T121 expression) and Tp53 mutation in Pax8+ FTE caused transformation to Serous Tubal Intraepithelial Carcinoma (STIC), which rapidly metastasized to the ovarian surface. This mouse model was recapitulated by FTE organoids, which, upon orthotopic injection, generated widely metastatic HGSOC. The same genetic lesions in Lgr5+ OSE cells or organoids also caused metastatic HGSOC, although with longer latency and lower penetrance. Comparative transcriptome analysis was consistent with different human HGSOCs arising from FTE and OSE. Furthermore, FTE- and OSE-derived organoids showed differential sensitivity to HGSOC chemotherapeutics. Our results comport with a dualistic origin for HGSOC and suggest the cell-of-origin could influence therapeutic response.\n\nSIGNIFICANCEThe cell-of-origin for high grade serous ovarian carcinoma (HGSOC) has been controversial. By generating novel GEMMs and organoid models with the same oncogenic defects, we demonstrate that HGSOC can originate from either fallopian tube epithelium (FTE) or ovarian surface epithelium (OSE). Importantly, FTE- and OSE-derived tumors differ significantly in biologic properties.

cancer biology↗
bioRxiv2018

Physiological and transcriptomic analysis of yellow leaf

As important deciduous tree, Populus deltoides Marsh possesses a high ornamental value for its leaves remaining yellow during the non-dormant period. However, little is known about the regulatory mechanism of leaf coloration in Populus deltoides Marsh. Thus, we analyzed physiological and transcriptional differences of yellow leaves (mutant) and green leaves (wild-type) of Populus deltoides Marsh. Physiological experiments showed that the contents of chlorophyll (Chl) and carotenoid are lower in mutant, the flavonoid content is not differed significantly between mutant and wild-type. Transcriptomic sequencing was further used to identify 153 differentially expressed genes (DEGs). Functional classifications based on Gene Ontology enrichment and Genomes enrichment analysis indicated that the DEGs were involved in Chl biosynthesis and flavonoid biosynthesis pathway. Among these, geranylgeranyl diphosphate (CHLP) genes associated with Chl biosynthesis showed down-regulation, while chlorophyllase (CLH) genes associated with Chl degradation were up-regulated in yellow leaves. The expression levels of these genes were further confirmed using quantitative real-time PCR (RT-qPCR). Furthermore, the measurement of the main precursors of Chl confirmed that CHLP is vital enzymes for the yellow leaf color phenotype. Consequently, the formation of yellow leaf color is due to disruption of Chl synthesis and catabolism rather than flavonoid content. These results contribute to our understanding of mechanisms and regulation of leaf color variation in poplar at the transcriptional level.

bioinformatics↗
bioRxiv2018

Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods

N6-methyladenosine (m6A) is the most abundant methylation, existing in >25% of human mRNAs. Exciting recent discoveries indicate the close involvement of m6A in regulating many different aspects of mRNA metabolism and diseases like cancer. However, our current knowledge about how m6A levels are controlled and whether and how regulation of m6A levels of a specific gene can play a role in cancer and other diseases is mostly elusive. We propose in this paper a computational scheme for predicting m6A-regulated genes and m6A-associated disease, which includes Deep-m6A, the first model for detecting condition-specific m6A sites from MeRIP-Seq data with a single base resolution using deep learning and a new network-based pipeline that prioritizes functional significant m6A genes and its associated diseases using the Protein-Protein Interaction (PPI) and gene-disease heterogeneous networks. We applied Deep-m6A and this pipeline to 75 MeRIP-seq human samples, which produced a compact set of 709 functionally significant m6A-regulated genes and nine functionally enriched subnetworks. The functional enrichment analysis of these genes and networks reveal that m6A targets key genes of many critical biological processes including transcription, cell organization and transport, and cell proliferation and cancer-related pathways such as Wnt pathway. The m6A-associated disease analysis prioritized five significantly associated diseases including leukemia and renal cell carcinoma. These results demonstrate the power of our proposed computational scheme and provide new leads for understanding m6A regulatory functions and its roles in diseases.\n\nAuthor summaryThe goal of this work is to identify functional significant m6A-regulated genes and m6A-associated diseases from analyzing an extensive collection of MeRIP-seq data. To achieve this, we first developed Deep-m6A, a CNN model for single-base m6A prediction. To our knowledge, this is the first condition-specific single-base m6A site prediction model that combines mRNA sequence feature and MeRIP-Seq data. The 10-fold cross-validation and test on an independent dataset showthat Deep-m6A outperformed two sequence-based models. We applied Deep-m6A followed by network-based analysis using HotNet2 and RWRH to 75 human MeRIP-Seq samples from various cells and tissue under different conditions to globally detect m6A-regulated genes and further predict m6A mediated functions and associated diseases. This is also to our knowledge the first attempt to predict m6A functions and associated diseases using only computational methods in a global manner on a large number of human MeRIP-Seq samples. The predicted functions and diseases show considerable consistent with those reported in the literature, which demonstrated the power of our proposed pipeline to predict potential m6A mediated functions and associated diseases.

bioinformatics↗
bioRxiv2018

Inferring novel lncRNA associated with Ventricular septal defect by DNA methylation interaction network

Ventricular septal defect (VSD) is one of the most common types of congenital heart disease. To find more and more molecular alteration is conducive to explore the mechanism and biomarker in VSD. Herein we devised a predictive strategy to uncover novel lncRNA of VSD integrating DNA methylation, gene expression and lncRNA expression of early embryo and VSD by profiles from GEO database. In totally, 175 lncRNAs, 7290 genes and 3002 DNA methylation genes were obtained by logistic regression analysis associated with embryonic development. Moreover, 7304 DMGs were significant differential methylated by Wilcoxon rank test and Students test in VSD. We constructed the lncRNA-mRNA co-expression network in embryo (LMCNe). Then, a reconstructed co-expression weighted network (RCWN) was built integrated LMCNe and the DNA methylation associated network (DMAN) based on the correlation of the DNA methylation level and protein interaction network between embryonic development and VSD. We extracted top 10 lncRNAs with higher score performing DRaWR from the weight network, which as potential VSD related lncRNAs. Six lncRNAs showed a high level of expression in the heart tissue recorded in the NONOCOND database. Furthermore, associated lncRNA genes DCAF8L1, NIT1, SH2D7 and DOCK9-AS2 in validated samples showed a prominently association with VSD. These outcomes provide a reference for lncRNA involved in VSD initialization and a new insight for studies of VSD-associated lncRNAs. Author SummaryVentricular septal defect (VSD) is one of the most common types of congenital heart disease and has a high mortality rate in infants. Many molecular markers have proved effective as biomarker in VSD like DNA methylation and lncRNA. lncRNA is a type of non-coding RNA which has important effect in regulation gene expression and disease occurrence. VSD is an embryonic stage developmental disease. Therefore we hypothesized that lncRNA which was associated with DNA methylation and mRNA in early embryonic development may also affect the occurrence of VSD. So in this work, from the perspective of embryonic development, we devised a predictive strategy to uncovering novel lncRNA of VSD. In our result, four lncRNA associated genes were found differential expressed in VSD and normal samples by qPCR validation. The identification of lncRNA associated with ventricular septal defect is beneficial to further study the mechanism of VSD from the molecular level and also provides a good molecular marker for clinical therapeutic and diagnosis. At the same time, it also provides a new insight for the researches of lncRNA associated with VSD.

developmental biology↗
bioRxiv2018

Intraflagellar transport protein 74 is essential for mouse spermatogenesis and male fertility by regulating axonemal microtubule assembly in mice

IFT74 is a component of the core intraflagellar transport (IFT) complex, a bidirectional movement of large particles along the axoneme microtubules for cilia formation. In this study, we investigated its role in sperm flagella formation and discovered that mice deficiency in IFT74 in male germ cells were infertile associated with low sperm counts and immotile sperm. The few developed spermatozoa displayed misshaped heads and short tails. Transmission electron microscopy revealed abnormal flagellar axoneme in the seminiferous tubules where sperm are made. Clusters of unassembled microtubules were present in the spermatids. Testicular expression levels of IFT27, IFT57, IFT81, IFT88 and IFT140 were significantly reduced in the mutant mice, with the exception of IFT20 and IFT25. The levels of ODF2 and SPAG16L proteins were also not changed. However, the processed AKAP4 protein, a major component of the fibrous sheath, a unique structure of sperm tail, was significantly reduced. Our study demonstrates that IFT74 is essential for mouse sperm formation, probably through assembly of the core axoneme and fibrous sheath, and highlights a potential genetic factor (IFT74) that contributes to human infertility in men.

developmental biology↗
bioRxiv2018

Recent invasion of P transposable element into Drosophila yakuba

Transposable elements (TEs) are self-replicating genetic units that are common across prokaryotes and eukaryotes. They have been implicated in the origin of new molecular functions and in some cases, new phenotypes. Yet, the processes that lead to their evolution and how they enter the genome of their hosts remain largely underexplored. The P-element is one of the most well-known TEs in Eukaryotes, due to its rapid expansion in Drosophila melanogaster in the 1960s and its faster invasion of D. simulans, despite its fitness consequences in both species. Here, we describe a recent invasion of P-elements into Drosophila yakuba. Overall, PEs were found in D. yakuba with no PEs detected across its sister species, D. teissieri and D. santomea. These findings are surprising due the lack of a genetic bridge between D. yakuba and other Drosophila that harbor PEs, implicating a horizontal gene transfer mechanism similar to the one that gave rise to the invasion of PEs in D. melanogaster and D. simulans. We also report that the presence of these PEs causes a mild hybrid dysgenesis phenomenon; namely they cause a reduction in female reproductive potential (lower number of ovaries and ovarioles), but only at 29{degrees}C and not at 23{degrees}C. Given the ability of PEs to cross species boundaries and the fact that both D. santomea and D. teissieri have the ability to produce fertile progeny with D. yakuba, the yakuba species complex provides an opportunity to study PE spread through vertical transmission.\n\nARTICLE SUMMARYP-elements (PEs) are transposons found in Neotropical Drosophila species. PEs have previously invaded two African Drosophila species where they rapidly increased in population frequency and fixed. We found that PEs invaded the genome of D. yakuba, an African species. In just 8 years, the frequency of the PEs increased from 0% to 18% but then decreased to 2%. This turnover shows that PE invasions can be transient. We found no evidence of full PEs in D. yakuba sister species, D. santomea and D. teissieri. PEs in this species complex can reveal the interplay between transposable elements and hybridization in nature.

evolutionary biology↗
bioRxiv2018

Tau accumulation activates STAT1 triggering memory deficits via suppressing NMDA receptor expression

Intracellular tau accumulation forming neurofibrillary tangles is hallmark pathology of Alzheimer's disease (AD), but how tau accumulation induces synapse impairment is elusive. By overexpressing human full-length wildtype tau (termed hTau) to mimic tau abnormality as seen in the brain of sporadic AD patients, we found that hTau accumulation activated JAK2 to phosphorylate STAT1 (Signal Transducer and Activator of Transcription 1) at Tyr701 leading to STAT1 dimerization, nuclear translocation and its activation. STAT1 activation suppressed expression of N-methyl-D-aspartate receptors (NMDARs) through direct binding to the specific GAS element of GluN1, GluN2A and GluN2B promoters, while knockdown STAT1 by AAV-Cre in STAT1flox/flox mice or expressing dominant negative Y701F-STAT1 efficiently rescued hTau-induced suppression of NMDARs expression with amelioration of synaptic functions and memory performance. These findings indicate that hTau accumulation impairs synaptic plasticity through JAK2/STAT1-induced suppression of NMDARs expression, revealing a novel mechanism for hTau-associated synapse and memory deficits.

neuroscience↗
bioRxiv2018

The ataxin-1 interactome reveals direct connection with multiple disrupted nuclear transport pathways

The expanded polyglutamine (polyQ) tract form of ataxin-1 drives disease progression in spinocerebellar ataxia type 1 (SCA1). Although polyQ-ataxin-1 is known to form distinctive intranuclear bodies, the cellular pathways and functions it influences remain poorly understood. Here, we identify direct and proximal partners constituting the interactome of ataxin-1[85Q] in Neuro-2a cells. Pathways analyses indicate a significant enrichment of essential nuclear transporters in the interactome, pointing to disruptions in nuclear transport processes in the presence of polyQ-ataxin-1. Our direct assessments of nuclear transporters and their cargoes reinforce these observations, revealing disrupted trafficking often with relocalisation of transporters and/or cargoes to ataxin-1[85Q] nuclear bodies. Strikingly, the nucleoporin Nup98, dependent on its GLFG repeats, is recruited into polyQ-ataxin-1 nuclear bodies. Our results highlight a disruption of multiple essential nuclear protein trafficking pathways by polyQataxin-1, a key contribution to furthering understanding of pathogenic mechanisms initiated by polyQ tract proteins.

biochemistry↗