Biology subjects

Yin, Z.

Publications and source records attributed to Yin, Z..

At least 91 records · Page 5Linked to original sources

bioRxiv2021

Genomic analysis based on chromosome-level genome assembly reveals an expansion of terpene biosynthesis of Azadirachta indica

Azadirachta indica (neem), an evergreen tree of the Meliaceae family, is a source of the potent biopesticide azadirachtin. The lack of a chromosome-level assembly impedes the understanding of in-depth genomic architecture and the comparative genomic analysis of A. indica. Here, a high-quality genome assembly of A. indica was constructed using a combination of data from Illumina, PacBio, and Hi-C technology, which is the first chromosome-scale genome assembly of A. indica. The genome size of A. indica is 281 Mb anchored to 14 chromosomes (contig N50=6 Mb and scaffold N50=19 Mb). The genome assembly contained 115 Mb repetitive elements and 25,767 protein-coding genes. Evolutional analysis revealed that A. indica didnt experience any whole-genome duplication (WGD) event after the core eudicot {gamma} event, but some genes and genome segment might undergo recent duplications. The secondary metabolite clusters, TPS genes, and CYP genes were also identified. Comparative genomic analysis revealed that most of the A. indica-specific TPS genes and CYP genes were located on the terpene-related clusters on chromosome 13. It is suggested that chromosome 13 may play an important role in the specific terpene biosynthesis of A. indica. And the gene duplication events may be responsible for the terpene biosynthesis expansion in A. indica. This will shed light on terpene biosynthesis in A. indica and facilitate comparative genomic research of the family Meliaceae.

genomics↗

bioRxiv2021

Compositional phylogenomic modelling resolves the 'Zoraptera problem': Zoraptera are sister to all other polyneopteran insects

The evolution of wings propelled insects to their present mega-diversity. However, interordinal relationships of early-diverging winged insects and the timescale of their evolution are difficult to resolve, in part due to uncertainties in the placement of the enigmatic and species-poor order Zoraptera. The Zoraptera problem has remained a contentious issue in insect evolution since its discovery more than a century ago. This is a key issue because different placements of Zoraptera imply dramatically different scenarios of diversification and character evolution among polyneopteran. Here, we investigate the systematic placement of Zoraptera using the largest protein-coding gene dataset available to date, deploying methods to mitigate common sources of error in phylogenomic inference, and testing historically proposed hypotheses of zorapteran evolution. We recover Zoraptera as the earliest-diverging polyneopteran order, while earwigs (Dermaptera) and stoneflies (Plecoptera) form a monophyletic clade (Dermoplectopterida) sister to the remainder of Polyneoptera. The morphology and palaeobiology of stem-zorapterans are informed by Mesozoic fossils. The gut content and mouthparts of a male specimen of Zorotypus nascimbenei from Kachin amber (Cretaceous) reveal a fungivorous diet of Mesozoic zorapterans, akin to extant species. Based on a set of 42 justified fossil and stratigraphic calibrations, we recover a Devonian origin of winged insects and Polyneoptera, suggesting that these groups coincided with the rise of arborescence during the diversification of early terrestrial plants, fungi, and animals. Our results provide a robust framework for understanding the pattern and timescale of early winged insect diversification.

zoology↗

bioRxiv2021

IFITM3 regulates virus-induced inflammatory cytokine production by titrating Nogo-B orchestration of TLR responses

Interferon induced transmembrane protein 3 (IFITM3) is an important viral restriction factor in viral pathogenesis that also exhibits poorly understood immune regulatory functions. Here, using human and mouse models, we demonstrate that IFITM3 regulates MyD88-dependent TLR-mediated cytokine production following dendritic cell exposure to cytomegalovirus (CMV), and this process limits viral pathogenesis in vivo. IFITM3 also restricted pro-inflammatory (IL-6) cytokine production in response to influenza. IFITM3 bound to and promoted ubiquitination and proteasomal degradation of the reticulon 4 isoform Nogo-B. We reveal that Nogo-B mediates TLR-dependent pro-inflammatory cytokine production and promotes viral pathogenesis in vivo, and this process involved alteration of TLR dynamics. The anti-inflammatory function of IFITM3 was intrinsically linked to its ability to regulate Nogo-B. Thus, we uncover Nogo-B as an unappreciated driver of viral pathogenesis and highlight a novel immune regulatory pathway where IFITM3 fine-tunes TLR responsiveness of myeloid cells to viral stimulation.

immunology↗

bioRxiv2021

CRISPRa screen on a genetic risk locus shared by multiple autoimmune diseases identifies a dysfunctional enhancer that affects IRF8 expression through cooperative lncRNA and DNA methylation machinery

Dysregulated transcription factors represent a major class of drug targets that mediate the abnormal expression of many critical genes involved in SLE and other autoimmune diseases. Although strong evidence suggests that natural human genetic variation affects basal and inducible gene expression, it is still a considerable challenge to establish a biological link between GWAS-identified non-coding genetic risk variants and their regulated gene targets. Here, we combine genetic data, epigenomic data, and CRISPR activation (CRISPRa) assays to screen for functional variants regulating IRF8 expression. Using CRISPR-mediated deletion and 3D chromatin structure analysis, we demonstrate that the locus containing rs2280381 is a cell-type-specific distal enhancer for IRF8 that spatially interacts with the IRF8 promoter. Further, rs2280381 mediates IRF8 expression through enhancer RNA AC092723.1, which recruits TET1 to the IRF8 promoter to modulate IRF8 expression by affecting methylation levels. The alleles of rs2280381 modulate PU.1 binding and chromatin state to differentially regulate AC092723.1 and IRF8 expression. Our work illustrates a strategy to define the functional genetic variants modulating transcription factor gene expression levels and identifies the biologic mechanism by which autoimmune diseases risk genetic variants contribute to the pathogenesis of disease.

genetics↗

bioRxiv2021

Sex-specific transcriptome of spinal microglia in neuropathic pain due to peripheral nerve injury

Recent studies have suggested a sexually dimorphic role of microglia in the maintenance of neuropathic pain in rodents. Here, we utilized RNA sequencing analysis and in vitro primary cultures of microglia to characterize the sex differences in microglia in pain-related regions in nerve injury and chemotherapy-induced peripheral neuropathy mouse models. Whilst mechanical allodynia and behavioral changes were observed in all models, transcriptomic analysis revealed a substantial change in microglial gene expression only within the ipsilateral lumbar spinal cord 7-days after nerve injury. Both sexes upregulated genes associated with inflammation, phagosome, and lysosome activation, though males revealed a prominent global transcriptional shift not observed in female mice, reflecting acute activation. Further, in vitro studies revealed that only male microglia from nerve-injured mice developed a reactive phenotype with increased phagocytotic activity. This study indicates distinct sex differences in spinal microglia and suggests they contribute to the sex-specific pain processing following nerve injury.

neuroscience↗

bioRxiv2021

Three bacterium-plasmid golden combinations facilitate the spread of ST11/CG258 carbapenemase-producing Klebsiella pneumoniae in China

Carbapenemase-producing Klebsiella pneumoniae (cpKP) poses serious threats to public health. Previous studies showed that only ST11/CG258-cpKP successfully disseminated in China, however, the underlying genetic bases are still unknown. We conducted a comprehensive genomic-epidemiology analysis on 420 cpKP isolates from 70 hospitals in 24 Chinese provinces during 2009-2017 based on short-/long-reads sequencing. Three golden combinations of host--blaKPC-carrying plasmids (Clade 3.1+3.2--IncFIIpHN7A8, Clade 3.1+3.2--IncFIIpHN7A8:IncR, Clade 3.3--IncFIIpHN7A8:IncpA1763-KPC) endowed cpKP with advantages both in genotypes (strong-correlation/co-evolution) and phenotypes (resistance/growth/competition), thereby facilitating nationwide spread of ST11/CG258-cpKP. Intriguingly, Bayesian skyline illustrated that the three golden combinations might directly lead to the strong population expansion during 2007-2008 and subsequent maintenance of the dissemination of ST11/CG258-cpKP after 2008. We tested drug-resistance profiles and proposed combination treatment regimens for CG258/non-CG258 cpKP. Our findings systematically revealed the molecular-epidemiology and genetic-basis for dissemination of Chinese ST11/CG258 cpKP and reminded us to monitor the golden combinations of cpKP- plasmid closely.

microbiology↗

bioRxiv2021

The impact of viral mutations on recognition by SARS-CoV-2 specific T-cells

We identify amino acid variants within dominant SARS-CoV-2 T-cell epitopes by interrogating global sequence data. Several variants within nucleocapsid and ORF3a epitopes have arisen independently in multiple lineages and result in loss of recognition by epitope-specific T-cells assessed by IFN-{gamma} and cytotoxic killing assays. These data demonstrate the potential for T-cell evasion and highlight the need for ongoing surveillance for variants capable of escaping T-cell as well as humoral immunity.

immunology↗

bioRxiv2020

Precision methylome and in vivo methylation kinetics characterization of Klebsiella pneumoniae

Klebsiella pneumoniae (K. pneumonia) is an important pathogen that can cause severe hospital-/community-acquired infections. To panoramically analyze K. pneumoniaes methylation features, we completed the whole genome sequences of 14 K. pneumoniae strains covering various serotypes, multilocus-sequence typings (MLSTs), clonal groups (CG), viscosity/virulence and drug-resistances, and further characterized their methylomes using PacBio-SMRT and bisulfite technologies. We identified 15 methylation motifs (13 6mA and two 5mC motifs), among which eight were novel ones. Their corresponding MTases were further validated. Additionally, we analyzed the genomic distribution of GATC and CCWGG methylation motifs shared by all strains, and identified differential distributive patterns of some hemi/un-methylated GATC motifs tending to locate in the intergenic regions (IGRs). Specifically, we characterized the in vivo methylation kinetics at single-base resolution on a genome-wide scale by simulating the dynamic processes of replication-mediated passive demethylation and MTase-catalyzed re-methylation. The slower methylation-rates of the GATC motifs in the replication origins (oriC) and IGRs suggest an epigenetic mechanism implicated in the regulation of replication-initiation and transcription. Our findings illustrate the first comprehensive dynamic methylome map of K. pneumonia at single base resolution, and provide an efficient means and important reference for a better understanding of epigenetic regulation in bacteria.

genomics↗

bioRxiv2020

BATF3-dependent induction of IL-27 by B cells bridges the innate and adaptive stages of the antibody response

B cells are exposed to innate and T cell stimuli during the antibody response, although whether and how they functionally integrate such signals are unclear. Here we have identified IL-27 as the cytokine specifically produced by murine B cells upon sequential stimulation by TLR ligands and then CD154 and IL-21, the hallmark factors of T follicular helper cells, and during the T-dependent antibody response to a conjugated hapten or virus infection. B-cell Il27p28 transcription is concomitant with increased locus accessibility and depends on newly induced BATF3 transcription factor. IL-27-producing B cells are inefficient in antibody secretion, but cooperate with IFN{gamma} to promote proliferation, survival, class-switching and plasma cell differentiation of CD40-activated B cells, leading to optimal IgG2a and IgG1 responses. Overall, IL-27-producing B cells function as "helper" B cells that integrate the innate and adaptive stages of the antibody response. One-sentence summaryB cells integrate innate TLR and adaptive CD40 signals to induce BATF3 transcription factor for production of IL-27, which together with INFg optimizes antibody responses.

immunology↗

bioRxiv2020

DReSS: A difference measurement based on reachability between state spaces of Boolean networks

Researches on dynamical features of biological systems are mostly based on fixed network structure. However, both biological factors and data factors can cause structural perturbations to biological regulatory networks. There are researches focus on the influence of such structural perturbations to the systems dynamical features. Reachability is one of the most important dynamical features, which describe whether a state can automatically evolve into another state. However, there is still no method can quantitively describe the reachability differences of two state spaces caused by structural perturbations. DReSS, Difference based on Reachability between State Spaces, is proposed in this research to solve this problem. First, basic properties of DReSS such as non-negativity, symmetry and subadditivity are proved based on the definition. And two more indexes, diagDReSS and iDReSS are proposed based on the definition of DReSS. Second, typical examples like DReSS = 0 or 1 are shown to explain the meaning of DReSS family, and the differences between DReSS and traditional graph distance are shown based on the calculation steps of DReSS. Finally, differences of DReSS distribution between real biological regulatory network and random networks are compared. Multiple interaction positions in real biological regulatory network show significant different DReSS value with those in random networks while none of them show significant different diagDReSS value, which illustrates that the structural perturbations tend to affect reachability inside and between attractor basins rather than to affect attractor set itself. Author summaryBoolean network is a kind of networks which is widely used to model biological regulatory systems. There are structural perturbations in biological systems based on both biological factors and data-related factors. We propose a measurement called DReSS to describe the difference between state spaces of Boolean networks, which can be used to evaluate the influence of specific structural perturbations of a network to its state space quantitively. We can use DReSS to detect the sensitive interactions in a regulatory network, where structural perturbations can influence its state space significantly. We proved properties of DReSS including non-negativity, symmetry and subadditivity, and gave examples to explain the meaning of some special DReSS values. Finally, we present an example of using DReSS to detect sensitive vertexes in yeast cell cycle regulatory network. DReSS can provide a new perspective on how different interactions affect the state space of a specific regulatory network differently.

bioinformatics↗

bioRxiv2020

Broad and strong memory CD4+ and CD8+ T cells induced by SARS-CoV-2 in UK convalescent COVID-19 patients.

COVID-19 is an ongoing global crisis in which the development of effective vaccines and therapeutics will depend critically on understanding the natural immunity to the virus, including the role of SARS-CoV-2-specific T cells. We have conducted a study of 42 patients following recovery from COVID-19, including 28 mild and 14 severe cases, comparing their T cell responses to those of 16 control donors. We assessed the immune memory of T cell responses using IFN{gamma} based assays with overlapping peptides spanning SARS-CoV-2 apart from ORF1. We found the breadth, magnitude and frequency of memory T cell responses from COVID-19 were significantly higher in severe compared to mild COVID-19 cases, and this effect was most marked in response to spike, membrane, and ORF3a proteins. Total and spike-specific T cell responses correlated with the anti-Spike, anti-Receptor Binding Domain (RBD) as well as anti-Nucleoprotein (NP) endpoint antibody titre (p<0.001, <0.001 and =0.002). We identified 39 separate peptides containing CD4+ and/or CD8+ epitopes, which strikingly included six immunodominant epitope clusters targeted by T cells in many donors, including 3 clusters in spike (recognised by 29%, 24%, 18% donors), two in the membrane protein (M, 32%, 47%) and one in the nucleoprotein (Np, 35%). CD8+ responses were further defined for their HLA restriction, including B*4001-restricted T cells showing central memory and effector memory phenotype. In mild cases, higher frequencies of multi-cytokine producing M- and NP-specific CD8+ T cells than spike-specific CD8+ T cells were observed. They furthermore showed a higher ratio of SARS-CoV-2-specific CD8+ to CD4+ T cell responses. Immunodominant epitope clusters and peptides containing T cell epitopes identified in this study will provide critical tools to study the role of virus-specific T cells in control and resolution of SARS-CoV-2 infections. The identification of T cell specificity and functionality associated with milder disease, highlights the potential importance of including non-spike proteins within future COVID-19 vaccine design.

immunology↗

bioRxiv2020

FPfilter: A false-positive-specific filter for whole-genome sequencing variant calling from GATK

1.MotivationAs whole genome sequencing (WGS) is becoming cost-effective progressivelly, it has been applied increasingly in medical and scientific fields. Although the traditional variant-calling pipeline (BWA+GATK) has very high accuracy, false positives (FPs) are still an unavoidable problem that might lead to unfavorable outcomes, especially in clinical applications. As a result, filtering out FPs is recommended after variant calling. However, loss of true positives (TPs) is inevitable in FP-filtering methods, such as GATK hard filtering (GATK-HF). Therefore, to minimize the loss of TPs and maximize the filtration of FPs, a comprehensive understanding of the features of TPs and FPs, and building an improved model of classification are necessary. To obtain information about TPs and FPs, we used Platinum Genome (PT) as the mutation reference and its 300x deep sequenced dataset NA12878 as the simulation template. Then random sampling across depth gradients from NA12878 was performed to study the depth effect. ResultsFPs among heterozygous mutations were found to have pattern distinct from that of FPs among homozygous mutations. FPfilter makes use of this model to filter out FPs specifically. We evaluated FPfilter on a training dataset with depth gradients from NA12878 and a test dataset from NA12877 and NA24385. Compared with GATK-HF, FPfilter showed a significantly higher FP/TP filtration ratio and F-measure score. Our results indicate that FPfilter provides an improved model for distinguishing FPs from TPs and filters FPs with high specificity. AvailabilityFPfilter is freely available for download on GitHub (https://github.com/yuxiangtan/FPfilter). Users can easily install it from anaconda.

bioinformatics↗

bioRxiv2020

DPSN: standardizing the short names of amplicon-sequencing primers to avoid ambiguity

BackgroundAmplicon sequencing is the most widely used sequencing method to evaluate microbial diversity in virtually all environments. Thus, appropriate and specific primers are needed to amplify amplicon regions in amplicon sequencing. For this purpose, the community currently uses probeBase, which curates rRNA-targeted probes and primers. Main BodyWe found that 63.58% of the primers in probeBase have problematic issues in the short name, full name, and/or position. Furthermore, the current convention for short names causes ambiguity. We here introduce our new Database of Primer Scientific Names (DPSN), which is a manually curated database for the 173 primers in probeBase complete with a new short name convention. Building on the work of probeBase, we provide a more user-friendly and standardized system. The new short primer naming convention has three basic components: 5{square} position on the sense strand, version, and direction. An additional character for the name of the taxonomic group is also added in front of the name for convenient use. Furthermore, DPSN contains primers for large subunit as well. In order to separate them from the primers for small subunit, a header character is also recommended. ConclusionAll 173 primers in probeBase were corrected according to this new rule, and are stored in DPSN, which is expected to facilitate accurate primer selection and better standardized communication in this field. Database URLThe DPSN database is available in a user-interactive website at http://dpsn.leidailab.cn/

microbiology↗

bioRxiv2019

Low basal expression and slow induction of IFITM3 puts immune cells at risk of influenza A infection

The interferon-induced transmembrane protein, IFITM3, has been shown to restrict influenza virus infection in murine and in vitro settings for ten years, but no explanation has been found to explain why this virus infection is so highly contagious and infects most individuals it comes in contact with. We confirm that the expression level of IFITM3 plays a role in determining the level of viral infection through manipulation of IFITM3 levels with interferon (IFN) stimulation and overexpression systems. Low basal expression may put some immune cells, including lymphocytes and lung-resident macrophages, at risk of influenza virus infection. Investigating the induction of IFITM3 by IFN, we find a strong preference for Type I IFN in IFITM3 induction in both cell lines and primary human cells. While myeloid cells can increase expression following stimulation by Type I IFN, lymphocytes show minimal induction of IFITM3 following IFN stimulation, suggesting that they are always at risk of viral infection. Surprisingly, we found that the time it takes for maximal induction of IFITM3 is relatively slow for an interferon-stimulated gene at around 36 hours. Low basal expression and slow induction of IFITM3 could increase the risk of influenza virus infection in selected immune cells. ImportanceInfluenza virus infection remains one of the top ten threats to global health, causing significant deaths and hospitalisations across the world each year. Understanding mechanisms for controlling influenza virus infection remain a priority. The interferon-induced transmembrane protein IFITM3 can restrict influenza infection by limiting replication of the virus. The precise mechanisms of how IFITM3 reduced replication of influenza are unknown, although it is predicted to prevent release of viral contents into the cytosol by preventing pore formation on the endosomal compartments where it is suggested to reside. Here we have shown that the expression level of IFITM3 is important in determining the control of influenza virus infection. We find an expression pattern for IFITM3 that varies based on cell type, tissue locality, differentiation state and cell naivety, all of which highlights cells that may be at the highest risk of influenza infection.

immunology↗

bioRxiv2019

Single-Cell RNA-Seq Reveals Novel Mitochondria-related Musculoskeletal Cell Populations during Adult Axolotl Limb Regeneration Process

While the capacity to regenerate tissues or limbs is limited in mammals including humans, unlike us, axolotls are able to regrow entire limbs and major organs. The wound blastema have been extensively studied in limb regeneration. However, due to the inadequate characterization and coordination of cell subpopulations involved in the regeneration process, it hinders the discovery of the key clue for human limb regeneration. In this study, we applied unbiased large-scale single-cell RNA sequencing to classify cells throughout the adult axolotl limb regeneration process. We computationally identified 7 clusters in regenerating limbs, including the novel regeneration-specific mitochondria-related cluster supporting regeneration through energy providing and the COL2+ cluster contributing to regeneration through cell-cell interactions signals. We also discovered the dedifferentiation and re-differentiation of the COL1+/COL2+ cellular subpopulation and uncovered a COL2-mitochondria sub-cluster supporting the musculoskeletal system regeneration. On the basis of these findings, we reconstructed the dynamic single-cell transcriptome atlas of adult axolotl limb regenerative process, and identified the novel regenerative mitochondria-related musculoskeletal populations, which yielded deeper insights into the crucial interactions between cell clusters within the regenerative microenvironment.

genomics↗

bioRxiv2019

Structural basis of Q-dependent antitermination

Lambdoid bacteriophage Q protein mediates the switch from middle to late bacteriophage gene expression by enabling RNA polymerase (RNAP) to read through transcription terminators preceding bacteriophage late genes. Q loads onto RNAP engaged in promoter-proximal pausing at a Q binding element (QBE) and an adjacent sigma-dependent pause element (SDPE) to yield a \"Q-loading complex,\" and Q subsequently translocates with RNAP as a pausing-deficient, termination-deficient \"Q-loaded complex.\" Here, we report high-resolution structures of four states on the pathway of antitermination by Q from bacteriophage 21 (Q21): Q21, the Q21-QBE complex, the Q21-loading complex, and the Q21-loaded complex. The results show that Q21 forms a torus--a \"nozzle\"--that narrows and extends the RNAP RNA-exit channel, extruding single-stranded RNA and preventing formation of pause and terminator hairpins.\n\nOne Sentence SummaryQ forms a \"nozzle\" that narrows the RNA polymerase RNA-exit channel and extrudes ssRNA, preventing formation of RNA hairpins.

molecular biology↗

bioRxiv2019

Long noncoding RNAs sustain high expression of exogenous Oct4 by sponging miRNA during reprogramming

Long noncoding RNAs (lncRNAs) modulate gene expression as competing endogenous RNAs (ceRNAs) via sponging microRNAs (miRNAs). However, the extent and functional consequences of ceRNAs in diverse cellular context still need to be proven. Using a doxycycline inducible expression of Yamanaka four factors to generate induced pluripotent stem cells (iPSCs) from mouse embryonic fibroblasts (MEFs), we found the miRNAs from MEFs remained highly expressed from day 0 to day 6 after doxycycline induction; unexpectedly, many genes targeted by these miRNAs were actually up-regulated; meanwhile, long intergenic noncoding RNAs (lincRNAs) and circular RNAs (circRNAs) which have complementary binding sites with the miRNAs were highly expressed, indicating lincRNAs and circRNAs (linc/circRNAs) may serve as sponges for miRNAs to block their activities during reprogramming. Intriguingly, the knockdown of the linc/circRNAs sponging the miRNAs targeting Oct4 mRNA resulted in down-regulation of exogenous Oct4 expression, decrease of reprogramming efficiency, and low-grade chimera forming iPSCs. Our results suggest that the ceRNA network plays an important role in reprogramming somatic cells to pluripotent stem cells.

cell biology↗

bioRxiv2019

Genomic analysis reveals selection signatures of Yucatan miniature pig on its X chromosome during domestication

Yucatan miniature pig (YMP), a naturally small breed, has been domesticated in the hot and arid Yucatan Peninsula for a long time. However, its selection signatures on the X chromosome remain poorly understood. In this study, we focused on elucidating the selection signatures of YMP on the X chromosome during its domestication and breeding, using the whole-genome sequencing data. We performed population admixture analyses to determine its genetic relationships with other domesticated breeds and wild boars. Subsequently, we used two approaches, the fixation index (Fst) and {pi} ratios, to identify the selection signatures with 100 kb windows sliding in 10 kb steps. As a result, we found that the ectodysplasin A (EDA) gene was related with hypoplasia or absence of hair and sweat glands. This could uncover the relative lack of odor in YMP and the presence of hypoplasia or absence of hair in pigs. Furthermore, we found several genes under selection in other animals. A bioinformatics analysis of the genes in selection regions showed that they were associated with growth, lipid metabolism, reproduction, and immune system. Our findings will lead to a better understanding of the unique genetic and phenotypic characteristics of YMP and offer a plausible method for their utilization as an animal model for hair and odor disease research.

genomics↗