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Guan, D.

Publications and source records attributed to Guan, D..

29 records · Page 2Linked to original sources

Genome sequence assembly evaluation using long-range sequencing data

Genome sequences are computationally assembled from millions of much shorter sequencing reads. Although this process can be impressively accurate with long reads, it is still subject to a variety of types of errors, including large structural misassembly errors in addition to localised base pair substitutions. Recent advances in long single molecule sequencing in combination with other long-range technologies such as synthetic long read clouds and Hi-C have dramatically increased the contiguity of assembly. This makes it all the more important to be able to validate the structural integrity of the chromosomal scale assemblies now being generated. Here we describe a novel assembly evaluation tool, Asset, which evaluates the consistency of a proposed genome assembly with multiple primary long-range data sets, identifying both supported regions and putative structural misassemblies. We present tests on three de novo assemblies from a human, a goat and a fish species, demonstrating that Asset can identify structural misassemblies accurately by combining regionally supported evidence from long read and other raw sequencing data. Not only can Asset be used to assess overall assembly confidence, and discover specific problematic regions for downstream genome curation, a process that leads to improvement in genome quality, but it can also provide feedback to automated assembly pipelines.

bioinformatics↗

ReDisX: a Continuous Max Flow-based framework to redefine the diagnosis of diseases based on identified patterns of genomic signatures

Diseases originate at the molecular-genetic layer, manifest through altered biochemical homeostasis, and develop symptoms later. Hence symptomatic diagnosis is inadequate to explain the underlying molecular-genetic abnormality and individual genomic disparities. The current trends include molecular-genetic information relying on algorithms to recognize the disease subtypes through gene expressions. Despite their disposition toward disease-specific heterogeneity and cross-disease homogeneity, a gap still exists to describe the extent of homogeneity within the heterogeneous subpopulation of different diseases. They are limited to obtaining the holistic sense of the whole genome-based diagnosis resulting in inaccurate diagnosis and subsequent management. To fill those gaps, we proposed ReDisX framework, a scalable machine learning algorithm that uniquely classifies patients based on their genomic signatures. It was deployed to re-categorizes the patients with rheumatoid arthritis and coronary artery disease. It reveals heterogeneous subpopulations within a disease and homogenous subpopulations across different diseases. Besides, it identifies GZMB as a subpopulation-differentiation marker that plausibly serves as a prominent indicator for GZMB-targeted drug repurposing. The ReDisX framework offers a novel strategy to redefine disease diagnosis through characterizing personalized genomic signatures. It may rejuvenate the landscape of precision and personalized diagnosis, and a clue to drug repurposing.

bioinformatics↗

Fate tracing reveals differences between Reelin+ HSCs and Desmin+ HSCs in activation, migration, and proliferation activities

The activation of hepatic stellate cells (HSCs) which comprise distinct clusters, is the main cause of liver fibrogenesis in response to different etiologies of chronic liver injuries. In this study, we constructed a novel ReelinCreERT2 transgenic mouse in which cells expressing Reelin were fully marked and demonstrated that about 50% HSCs were labeled. These ReelinCreERT2-labeled HSCs displayed distinct characteristics in migration, activation and proliferation compared to Desmin+ HSCs (total HSCs) in cholestatic (bile duct ligation; BDL) or hepatotoxic (carbon tetrachloride; CCl4) liver injuries. In BDL-induced fibrotic livers, Desmin+ HSCs were activated with increased proliferation and accumulation activities around the portal triad, but mGFP+ HSCs did not show proliferation or accumulation activity around the portal triad, and only a small part was activated. In CCl4-induced fibrotic livers, most of Desmin+ and mGFP+ HSCs were activated along with proliferation and accumulation potential around the central vein, however fewer mGFP+ HSCs were activated compared to Desmin+ HSCs. Moreover, in the regression of CCl4-induced fibrosis, mGFP+ HSCs were apoptosed whereas Desmin+ HSCs recovered to normal state. Besides, we didnt find evidence that mGFP+ HSCs transdifferentiated into hepatocytes or cholangiocytes through mesenchymal-epithelial transition (MET).

pathology↗

CaPti1/CaERF4 module positively regulates pepper resistance to bacterial wilt disease through coupling enhanced immunity and dehydration tolerance

Bacterial wilt, a severe disease that affects over 250 plant species, is caused by Ralstonia solanacearum through vascular system blockade. Although both plant immunity and dehydration tolerance might contribute to disease resistance, whether and how they are related are still unclear. Herein, we provide evidence that immunity against R. solanacearum and dehydration tolerance are coupled and regulated by CaPti1-CaERF4 module. By expression profiling, virus-induced gene silencing in pepper and overexpression in Nicotiana benthamiana, both CaPti1 and CaERF4 were upregulated by R. solanacearum inoculation, dehydration stress and exogenously applied ABA. They in turn phenocopied with each other in promoting pepper resistance to bacterial wilt not only by activating HR cell death and SA-dependent CaPR1, but also by activating dehydration tolerance related CaOSM1 and CaOSR1, and stomata closure to reduce water loss in ABA signaling dependent manner. Yeast-two hybrid assay showed that CaERF4 interacts with CaPti1, which was confirmed by co-immunoprecipitation and pull-down assays. Chromatin immunoprecipitation and electrophoretic mobility shift assay showed that, upon R. solanacearum inoculation, CaPR1, CaOSM1 and CaOSR1 were directly targeted and positively regulated by CaERF4 via binding GCC-box or DRE-box, which was potentiated by CaPti1. In addition, our data indicate that CaPti1-CaERF4 complex might act downstream ABA signaling, since the exogenously applied ABA did not alter stomata aperture regulated by CaPti1-CaERF4 module. Importantly, CaPti1-CaERF4 module was found also acts positively in pepper growth and response to dehydration stress. Collectively, the results suggest that immunity and dehydration tolerance are coupled and positively regulated by CaPti1-CaERF4 in pepper plants to enhance resistance against R. solanacearum. SummaryPepper immunity and dehydration tolerance are coupled and regulated by the CaPti1-CaERF4 module partially in a way related to ABA signaling and stomata closure.

physiology↗

Environment-Dependent Switch between Two Immune Systems against Ralstonia solanacearum Infections in Pepper

O_LIAlthough plant diseases generally cause more severe symptoms under conditions of high temperature and high humidity(HTHH), how plant respond to pathogen attack under this condition remains elusive. C_LIO_LIAs an example, we herein comparatively studied pepper(Capsicum annuum) immunity against Ralstonia solanacearum under HTHH and ambient temperature by approaches of reverse genetics. We found that pepper respond to R.solanacearum infection by activating salicylic-acid- and jasmonic-acid-mediated immunity at ambient temperature. Under HTHH, However, it no longer activates JA-mediated immunity and activates only transient SA signaling at the early stage of R.solanacearum infection, but instead induces cytokinin mediated immunity. C_LIO_LIThese two immune systems are positively regulated by CaWRKY40 via binding the WT-box and a novel W-box like (WL) box, respectively, in an environment-dependent manner: CaWRKY40 is activated upon R. solanacearum infection under HTHH, thereby upregulating ISOPENTENYLTRANSFERASE5(IPT5). The resulting cytokinin then works synergistically with CaWRKY40 in activating a subset of glutathione S-transferase genes via chromatin activation and WL-box binding, but prevent CaWRKY40 from activating ISOCHORISMATE SYNTHASE1 (ICS1) or SA-/JA-dependent pathogenesis-related genes by chromatin inactivation or by blocking WT-box binding. C_LIO_LIThese results highlight the specific pepper immune response to R. solanacearum infection under HTHH and its synergistic activation by CaWRKY40 and cytokinins. C_LI

plant biology↗

Variability in porcine microRNA genes and its association with mRNA expression phenotypes

BackgroundMature microRNAs (miRNAs) play an important role in repressing the expression of a wide range of mRNAs. The variability of miRNA genes and their corresponding 3UTR binding sites might disrupt canonical conserved miRNA-mRNA pairing, thus modifying gene expression patterns. The presence of polymorphic sites in miRNA genes and their association with gene expression phenotypes and complex traits has been poorly characterized in pigs so far. ResultsBy analyzing whole-genome sequences from 120 pigs and wild boars from Europe and Asia, we have identified 285 single nucleotide polymorphisms (SNPs) mapping to miRNA loci, as well as 109,724 SNPs located in predicted 7mer-m8 miRNA binding sites within porcine 3UTRs. Porcine miRNA genes show a reduced SNP density compared with their flanking non-miRNA regions. By sequencing the genomes of 5 Duroc boars, we have identified 12 miRNA SNPs that have been subsequently genotyped in their offspring (N = 345, Lipgen population). Association analyses between miRNA SNPs and 38 lipid-related traits as well as hepatic and muscle microarray expression phenotypes recorded in the Lipgen population were carried out. The most relevant association detected was the one between the genotype of the rs319154814 (G/A) SNP located in the apical loop of the ssc-miR-326 hairpin precursor and PPP1CC mRNA levels in the liver (q-value = 0.058). This result was subsequently confirmed by qPCR (P-value = 0.027). The rs319154814 (G/A) genotype was also associated with several fatty acid composition traits. ConclusionsPorcine miRNA genes show a reduced variability consistent with strong purifying selection, particularly in the seed region, which plays a critical role in miRNA binding. Although it is generally assumed that SNPs mapping to the seed region are the ones with the strongest consequences on mRNA expression, we show that a SNP mapping to the apical region of ssc-miR-326 is significantly associated with the hepatic mRNA levels of the PPP1CC gene, one of its predicted targets. Although experimental confirmation of such interaction has been obtained in humans but not in pigs, this result highlights the need of further investigating the functional effects of miRNA polymorphisms located outside the seed region on gene expression in pigs.

genomics↗

Iatrogenic Iron Promotes Neurodegeneration and Activates Self-protection of Neural Cells against Exogenous Iron Attacks

Metal implants are used worldwide, with millions of metal nails, plates and fixtures grafted during orthopaedic surgeries. Iron is the most common element of these metal implants. As time passes metal elements can be corroded and iron can be released from the implants in the form of ferric (Fe3+) or ferrous (Fe2+). These iron ions can permeate the surrounding tissues and enter circulation; importantly both Fe3+ and Fe2+ freely pass blood brain barrier (BBB). Can iron from implants represent a risk factor for neurological diseases? This remains an unanswered question. In this study, we discovered that the probability of metal implants delivered through orthopaedic surgeries was higher in patients of Parkinsons diseases (PD) or ischemic stroke than in healthy subjects. This finding instigated subsequent study of iron effects on neuronal cells. In experiments in vivo, we found that iron selectively decreased presence of divalent metal transporter 1 (DMT1) in neurones through increasing the expression of Ndfip1, which degrades DMT1 and rarely exists in glial cells. At the same time iron accumulation increased expression of DMT1 in astrocytes and microglial cells and triggered reactive astrogliosis and microglial activation. Facing the attack of excess iron, glial cells act as neuroprotectors to uptake more extracellular iron by up-regulating DMT1, whereas neurones limit iron uptake through decreasing DMT1 operation. Cerebral accumulation of iron was associated with impaired cognition, locomotion and mood. Excess iron thus affects neural cells and could increase the risk of neurodegeneration.

neuroscience↗

Fluoxetine improves behavioural deficits induced by chronic alcohol addiction by alleviating RNA editing of 5-HT2C receptors in astrocytes

The alcoholism and major depressive disorder are common comorbidity, with alcohol-induced depressive symptoms being eased by selective serotonin re-uptake inhibitors (SSRIs), although the mechanisms underlying pathology and therapy are poorly understood. Chronic alcohol consumption affects the activity of serotonin 2C receptors (5-HT2CR) by regulating adenosine deaminases acting on RNA (ADARs) in neurones. Astrogliopathic changes contribute to alcohol addiction, while decreased release of ATP from astrocytes can trigger depressive-like behaviours in mice. In this study, we discovered that chronic alcohol addiction increased editing of RNA of 5-HT2CR via up-regulating the expression of ADAR2, consequnetly reducing the release of ATP from astrocytes induced by 5-HT2CR agonist, MK212. At the same time SSRI antidepressant fluoxetine decreased the expression of ADAR2 through the transactivation of EGFR/PI3K/AKT/cFos signalling pathway. Reduction in ADAR2 activity eliminated the RNA editing of 5-HT2CR in vivo and increased release of astroglial ATP which was suppressed by chronic alcohol consumption. Meanwhile, fluoxetine improved the behavioural and motor symptoms induced by alcohol addiction and decreased the alcohol intake. Our study suggests that the astrocytic 5-HT2CR contribute to alcohol addiction; fluoxetine thus can be used to alleviate depression, treat alcohol addiction and improve motor coordination.

neuroscience↗

Sleep deprivation selectively down-regulates astrocytic 5-HT2B receptors and triggers depressive-like behaviors via stimulating P2X7 receptors

Chronic loss of sleep damages health and disturbs quality of life. The long-lasting sleep deprivation (SD) as well as sleep abnormalities is a substantial risk factor for major depressive disorder (MDD), although the underlying mechanisms are not clear. In our previous studies, we report the activation of nucleotide-binding domain and leucine-rich repeat protein-3 (NLRP3) inflammasome induced by long-term SD is P2X7 receptors (P2X7R) dependent, and antidepressant fluoxetine could alleviate this neuroinflammasome via 5-HT2B receptors (5-HT2BR) in astrocytes. Here, we discovered that the chronic SD activates astroglial P2X7 receptors, which in turn selectively down-regulated expression of 5-HT2BR in astrocytes. Stimulation of P2X7R induced by SD suppressed the phosphorylation of AKT and FoxO3a selectively in astrocytes, but not in neurones. The over-expression of FoxO3a in astrocytes inhibited expression of 5-HT2BR. Down-regulation of 5-HT2BR instigated by SD suppressed activation of STAT3 and relieved the inhibition of Ca2+-dependent phospholipase A2 (cPLA2). This latter cascade promoted the release of arachidonic acid (AA) and prostaglandin E2 (PGE2). The depressive-like behaviours induced by SD were alleviated in P2X7R-KO mice. Our study reveals the mechanism underlying chronic SD-induced depressive-like behaviors and highlights that blocking P2X7 receptors or activating 5-HT2BR in astrocytes could play a key role for exploring the therapeutic strategies aimed at the depression evoked by sleep disorders.\n\nMain PointsChronic SD selectively down-regulates expression of 5-HT2BR through activation of P2X7R in astrocytes. SD promotes the release of AA and PGE2 via the decreased 5-HT2BR, these factors induce depressive-like behaviors.

neuroscience↗

Identifying and removing haplotypic duplication in primary genome assemblies

MotivationRapid development in long read sequencing and scaffolding technologies is accelerating the production of reference-quality assemblies for large eukaryotic genomes. However, haplotype divergence in regions of high heterozygosity often results in assemblers creating two copies rather than one copy of a region, leading to breaks in contiguity and compromising downstream steps such as gene annotation. Several tools have been developed to resolve this problem. However, they either only focus on removing contained duplicate regions, also known as haplotigs, or fail to use all the relevant information and hence make errors.\n\nResultsHere we present a novel tool \"purge_dups\" that uses sequence similarity and read depth to automatically identify and remove both haplotigs and heterozygous overlaps. In comparison with the current standard, purge_haplotigs, we demonstrate that purge_dups can reduce heterozygous duplication and increase assembly continuity while maintaining completeness of the primary assembly. Moreover, purge_dups is fully automatic and can be easy integrated into assembly pipelines.\n\nAvailabilityThe source code is written in C and is available at https://github.com/dfguan/purge_dups.\n\nContactydwang@hit.edu.cn, rd109@cam.ac.uk

bioinformatics↗

The pomegranate (Punica granatum L.) genome provides insights into fruit quality and ovule developmental biology

Pomegranate (Punica granatum L.) with an uncertain taxonomic status has an ancient cultivation history, and has become an emerging fruit due to its attractive features such as the bright red appearance and the high abundance of medicinally valuable ellagitannin-based compounds in its peel and aril. However, the absence of genomic resources has restricted further elucidating genetics and evolution of these interesting traits. Here we report a 274-Mb high-quality draft pomegranate genome sequence, which covers approximately 81.5% of the estimated 336 Mb genome, consists of 2,177 scaffolds with an N50 size of 1.7 Mb, and contains 30,903 genes. Phylogenomic analysis supported that pomegranate belongs to the Lythraceae family rather than the monogeneric Punicaceae family, and comparative analyses showed that pomegranate and Eucalyptus grandis shares the paleotetraploidy event. Integrated genomic and transcriptomic analyses provided insights into the molecular mechanisms underlying the biosynthesis of ellagitannin-based compounds, the color formation in both peels and arils during pomegranate fruit development, and the unique ovule development processes that are characteristic of pomegranate. This genome sequence represents the first reference in Lythraceae, providing an important resource to expand our understanding of some unique biological processes and to facilitate both comparative biology studies and crop breeding.

genomics↗