Biology subjects

Xia, Y.

Publications and source records attributed to Xia, Y..

At least 217 records · Page 12Linked to original sources

bioRxiv2019

HeveaDB: a genetic resource database for rubber tree genomic study

With the proceedings in the genome study in rubber tree, more and more data were produced. However, these data are still deposited in public databases as raw format, and the utilization of these NGS data is hindered for the researchers in rubber tree community. HeveaDB was therefore constructed and maintained under the organization of International Rubber Research and Development Board. The HeveaDB 1.0 (http://hevea.catas.cn) mainly stores 4 versions of Hevea draft genome, 99 NGS transcriptomes, 18451annotated EST sequences, 12 curated gene families, 30200 gene annotations, 5049 wild germplasm phenotype data, and 18328 Wickham rubber clonal information. Several bioinformatic tools are integrated in the database to facilitate the utilization of the data for the users who are not skilled in bioinformatics. With the periodical update and functional improvement, the HeveaDB will serve as a potential platform for genomic studies and breeding technology in rubber tree.

bioinformatics↗

bioRxiv2019

The succession pattern of bacterial diversity in compost using pig manure mixed with wood chips analyzed by 16S rRNA gene analysis

The pig manure mixed with wood chips and formed compost by means of fermentation. We found that the protease activity, organic matter content and ammonium nitrogen concentration were higher in the early stage of composting. Meanwhile, the urease activity was highest in the high temperature period. The carbon to nitrogen ratio of the compost decreased continuously with fermentation. The dynamic change in the composition of bacterial overtime in the compost of a 180 kg piles were explored using microbial diversity analysis. The results showed that the microbial species increased with the compost fermentation. At the early stage of composting, the phyla of Firmicutes and Actinomycetes were dominant. The microbes in the high temperature period were mainly composed of Firmicutes and Proteobacteria while the proportion of Bacteroides was increased during the cooling period. In the compost of maturity stage, the proportion of Chloroflexi increased, becoming dominant species with other microorganisms including Firmicutes, Proteobacteria, Bacteroides, Chloroflexi but not Actinomycetes. Bacteria involved in lignocellulose degradation, such as those of the Thermobifida, Cellvibrio, Mycobacterium, Streptomyces and Rhodococcus, were concentrated in the maturity stages of composting. Through correlation analysis, the environmental factors including organic matter, ammonium nitrogen and temperature were consistent with the succession of microbial including Rhodocyclaceae, Anaerolineaceae, Thiopseudomonas, Sinibacillus and Tepidimicrobium. The change of urease activity and carbon to nitrogen ratio corresponded to microbial communities, mainly containing Anaerolineaceae, Rhodocyclaceae, Luteimoas, Bacillaceae, Corynebacterium, Bacillus, Anaerococcus, Lactobacillus, Ignatzschineria, and Bacillaceae.

microbiology↗

bioRxiv2019

In vivo microstructural heterogeneity of white matter lesions in Alzheimer’s disease using tissue compositional analysis of diffusion MRI data

White matter hyperintensities (WMH) are commonly observed in elderly individuals, and are typically more prevalent in Alzheimers disease subjects than in healthy subjects. These lesions can be identified on fluid attenuated inversion recovery (FLAIR) MRI, on which they are hyperintense compared to their surroundings. These MRI-visible lesions appear homogeneously hyperintense despite known heterogeneity in their pathological underpinnings, and are commonly regarded as surrogate markers of small vessel disease in in vivo studies. Consequently, the extent to which these lesions contribute to Alzheimers disease remains unclear, likely due to the somewhat limited way in which these lesions are assessed in vivo. Diffusion MRI is sensitive to white matter microstructure, and might thus be used to investigate microstructural changes within WMH. In this study, we applied a method called single-shell 3-tissue constrained spherical deconvolution, which models white matter microstructure while also accounting for other tissue compartments, to investigate WMH in vivo. Diffusion MRI data and FLAIR images were obtained from Alzheimers disease (n = 48) and healthy elderly control (n = 94) subjects from the Australian Imaging, Biomarkers and Lifestyle study of ageing. WMH were automatically segmented and classified as periventricular or deep lesions from FLAIR images based on their continuity with the lateral ventricles, and the 3-tissue profile of different classes of WMH was characterised by three metrics, which together characterised the relative tissue profile in terms of the white matter-, grey matter-, and fluid-like characteristics of the diffusion signal. Our findings revealed that periventricular and deep lesion classes could be distinguished from one another, and from normal-appearing white matter based on their 3-tissue profile, with substantially higher free water content in periventricular lesions than deep. Given the higher lesion load of periventricular lesions in Alzheimers disease patients, the 3-tissue profile of these WMH could be interpreted as reflecting the more deleterious pathological underpinnings that are associated with disease. However, when alternatively classifying lesion sub-regions in terms of distance contours from the ventricles to account for potential heterogeneity within confluent lesions, we found that the highest fluid content was present in lesion areas most proximal to the ventricles, which were common to both Alzheimers disease subjects and healthy controls. We argue that whatever classification scheme is used when investigating WMH, failure to account for heterogeneity within lesions may result in classification-scheme dependent conclusions. Future studies of WMH in Alzheimers Disease would benefit from inclusion of microstructural information when characterising lesions.

neuroscience↗

bioRxiv2019

Potential role of heat shock protein 90 in regulation of hyperthermia-driven differentiation of neural stem cells

ObjectiveOur previous studies indicated that hyperthermia may play a role in differentiation of neural stem cells and that hypoxia inducible factor-1(HIF-1) was critical in this process. Heat shock protein 90 (Hsp90) is one of the most common heat-related proteins and involved in HIF-1 expression by regulating its activity and stabilization. Here, we hypothesized that HSP90 may be involved in regulation of hyperthermia-driven differentiation of neural stem cells(NSCs). We also investigated whether the HSP90 activity exert its regulatory action via HIF-1 pathway and the transcriptional level of the target genes of HIF-1.\n\nMethodThe cultured NSCs were divided into three groups: an hyperthermic treatment group(40NSC) which NSCs was induced under 40{degrees}C temperature; a control group(37NSC) which NSCs was induced under 37{degrees}C temperature; an hyperthermic treatment and HSP90-inhibited group(40NSC+GA) which NSCs was induced with 0.5M HSP90 inhibitor Geldanamycin(GA) under 40{degrees}C temperature. We examined cells HSPa and HIF-1a expression during a time window of 5 days(12h, 1d, 3d, 5d) post-differentiation. The expression HSP, HIF-1, VEGF (vascular endothelial growth factor) and erythmpoietin(EPO) of during a time window was evaluated by RT-qPCR. The proportion of Tuj-1 positive differentiated cells were observed by flow cytometry.\n\nResultHyperthermia promoted neuronal differentiation of NSC, and this effect could be blocked by HSP90 inhibitor GA. We observed the up-regulation of HSP90 during hyperthermia treatment, and that the protein levels of HIF-1 changed depending of the GA treatment. GA could not inhibited HSP90 expression but suppressed HSP activity and decreased the expression HIF-1 protein. Inhibition of HIF-1 expression by GA could consequently affect expression of its targeted genes such as VEGF and EPO.\n\nConclusionHyperthermia promote differentiation of NSCs into neurons. HSP90 involved in the regulation of hyperthermia-driven differentiation of NSC, and the mechanism is related to HIF-1 and its downstream gene activation.

cell biology↗

bioRxiv2019

Mechanosensing by the lamina protects against nuclear rupture, DNA damage, and cell cycle arrest

Whether cell forces or extracellular matrix (ECM) can impact genome integrity is largely unclear. Here, acute perturbations (~1hr) to actomyosin stress or ECM elasticity cause rapid and reversible changes in lamin-A, DNA damage, and cell cycle. Embryonic hearts, differentiated iPS-cells, and various nonmuscle cell types all show that actomyosin-driven nuclear rupture causes cytoplasmic mis-localization of DNA repair factors and excess DNA damage. Binucleation and micronuclei increase as telomeres shorten, which all favor cell cycle arrest. Deficiencies in lamin-A and repair factors exacerbate these effects, but lamin-A-associated defects are rescued by repair factor overexpression and by contractility modulators in clinical trials. Contractile cells on stiff ECM normally exhibit low phosphorylation and slow degradation of lamin-A by matrix-metalloprotease-2 (MMP2), and inhibition of this lamin-A turnover and also actomyosin contractility is seen to minimize DNA damage. Lamin-A is thus stress-stabilized to mechano-protect the genome.

cell biology↗

bioRxiv2019

OxyR senses reactive sulfane sulfur and activates genes for its removal in Escherichia coli

Reactive sulfane sulfur species such as hydrogen polysulfide and organic persulfide are newly recognized as normal cellular components, involved in signaling and protecting cells from oxidative stress. Their production is extensively studied, but their removal is less characterized. Herein, we showed that reactive sulfane sulfur is toxic at high levels, and it is mainly removed via reduction by thioredoxin and glutaredoxin with the release of H2S in Escherichia coli. OxyR is best known to respond to H2O2, and it also played an important role in responding to reactive sulfane sulfur under both aerobic and anaerobic conditions. It was modified by hydrogen polysulfide to OxyR C199-SSH, which activated the expression of thioredoxin 2 and glutaredoxin 1. This is a new type of OxyR modification. Bioinformatics analysis showed that OxyRs are widely present in bacteria, including strict anaerobic bacteria. Thus, the OxyR sensing of reactive sulfane sulfur may represent a conserved mechanism for bacteria to deal with sulfane sulfur stress.

microbiology↗

bioRxiv2019

Non-catalytic binding sites induce weaker long-range evolutionary rate gradients than catalytic sites in enzymes

Enzymes exhibit a strong long-range evolutionary constraint that extends from their catalytic site and affects even distant sites, where site-specific evolutionary rate increases monotonically with distance. While protein-protein sites in enzymes was previously shown to induce only a weak conservation gradient, a comprehensive relationship between different types of functional sites in proteins and the magnitude of evolutionary rate gradients they induce has yet to be established. Here, we systematically calculate the evolutionary rate (dN/dS) of sites as a function of distance from different types of binding sites on enzymes and other proteins: catalytic sites, non-catalytic ligand binding sites, allosteric binding sites, and protein-protein interaction sites. We show that catalytic binding sites indeed induce significantly stronger evolutionary rate gradient than all other types of non-catalytic binding sites. In addition, catalytic sites in enzymes with no known allosteric function still induce strong long-range conservation gradients. Notably, the weak long-range conservation gradients induced by non-catalytic binding sites on enzymes is nearly identical in magnitude to those induced by ligand binding sites on non-enzymes. Finally, we show that structural determinants such as local solvent exposure of sites cannot explain the observed difference between catalytic and non-catalytic functional sites. Our results suggest that enzymes and non-enzymes share similar evolutionary constraints only when examined from the perspective of non-catalytic functional sites. Hence, the unique evolutionary rate gradient from catalytic sites in enzymes is likely driven by the optimization of catalysis rather than ligand binding and allosteric functions.

evolutionary biology↗

bioRxiv2019

Recent origin of an XX/XY sex-determination system in the ancient plant lineage Ginkgo biloba

Sexual dimorphism like dioecy (separate male and female individuals) have evolved in diverse multicellular eukaryotes while the molecular mechanisms underlying the development of such a key biological trait remains elusive (1). The living fossil Ginkgo biloba represents an early diverged lineage of land plants with dioecy. However, its sex-determination system and molecular basis have long been controversial or unknown. In the present research, we assembled the first and largest to date chromosome-level genome of a non-model tree species using Hi-C data. With this reference genome, we addressed both questions using genome resequencing data gathered from 97 male and 265 female trees of ginkgo, as well as transcriptome data from three developmental stages for both sexes. Our results support vertebrate-like XY chromosomes for ginkgo and five potential sex-determination genes, which may originate ~14 million years ago. This is the earliest diverged sex determination region in all reported plants as yet. The present research resolved a long-term controversy, lay a foundation for future studies on the origin and evolution of plant sexes, and provide genetic markers for sex identification of ginkgo which will be valuable for both nurseries and field ecology of ginkgo.

evolutionary biology↗

bioRxiv2018

Live cell monitoring for factors affecting genome variation

Cancer cells and pluripotent stem cells frequently exhibit gains or losses of entire chromosomes and chromosome segments, and the typical terminal analyses of genomes suggest this aneuploidy is ongoing and particularly variable in solid tumors. Here, we quantify aneuploidy-inducing perturbations by live cell fluorescence monitoring for changes in chromosome-5 in a lung cancer line and in normal diploid iPS cells. Inhibition of the spindle assembly checkpoint (SAC) and knockdown of DNA repair factors cause chromosome mis-segregation to increase several-fold above a low baseline level, and both perturbations also generate several-fold more rare fluorescent-null cells. Loss of chromosome-5 is confirmed by single cell karyotyping, SNP arrays on stable isolated clones, and downregulated expression of genes on chromosome-5 in single cell transcriptomics. The iPS cells also show loss of fluorescence in infrequent cells after SAC inhibition and upon growth as teratomas in mice. Viability, selection, and altered expression can thus be tracked to reveal molecular mechanisms in aneuploidy.

genomics↗

bioRxiv2018

WBC-Profiler: an Unsupervised Feature Learning System for Leukocytes Characterization and Classification

The characterization and classification of white blood cells (WBC) is critical for the diagnosis of anemia, leukemia and many other hematologic diseases. We developed WBC-Profiler, an unsupervised feature learning system for quantitative analysis of leukocytes. We demonstrate that WBC-Profiler enables automatic extraction of complex signatures from microscopic images without human-intervention and thereafter effective construction of leukocytes profiles, which decouples large scale complex leukocytes characterization from limitations in both human-based feature engineering/optimization and the end-to-end solutions provided by modern deep neural networks, and therefore has the potential to provide new opportunities towards meaningful studies/applications with scientific and/or clinical impact

bioinformatics↗

bioRxiv2018

Rescue of DNA damage in cells after constricted migration reveals bimodal mechano-regulation of cell cycle

Migration through constrictions can clearly rupture nuclei and mis-localize nuclear proteins but damage to DNA remains uncertain as does any effect on cell cycle. Here, myosin-II inhibition rescues rupture and partially rescues the DNA damage marker {gamma}H2AX, but an apparent delay in cell cycle is unaffected. Co-overexpression of multiple DNA repair factors and antioxidant inhibition of break formation also have partial effects, independent of rupture. However, there seems to be a bimodal dependence of cell cycle on DNA damage. Migration through custom-etched pores yields the same bimodal, with ~4-m pores causing intermediate levels of damage and cell cycle delay. Micronuclei (generated in faulty division) of the smallest diameter appear similar to ruptured nuclei, with high DNA damage and entry of chromatin-binding cGAS (cyclic-GMP-AMP-synthase) from cytoplasm but low repair factor levels. Increased genomic variation after constricted migration is quantified in expanding clones and is consistent with (mis)repair of excess DNA damage and subsequent proliferation.

cell biology↗

bioRxiv2018

Overexpressed microRNA-141-3p enhance proliferation via targeting PLAG1 in non-diabetic macrosomia

Several studies have shown microRNAs (miRNAs) could regulate the placental development, yet the role and mechanism of miRNAs in the development of non-diabetic macrosomia (NDFMS) remains unclear. The key miRNA that abnormal expressed in NDFMS placentas was screened out by miRNA microarray and verified using qRT-PCR in 91 subjects. The effects of the key miRNA were verified by proliferation assay and invasion assay in HTR-8/SVneo cell, and also in pregnant C57BL/6J mice. miR-141-3p was determined as the key miRNA with the most significant difference, which could promote the proliferation and invasion by regulating the expression of target gene PLAG1. Overexpression of PLAG1 could reverse the effect of cell proliferation and invasion ability caused by miR-141-3p overexpression. Significant difference in fetal birth weight was observed between the control group and treated group with miR-141-3p agomir in late pregnancy, but not in early pregnancy. This study revealed miR-141-3p could increase the proliferation of placenta to participate in the occurrence and development of NDFMS through regulating PLAG1 expression.

developmental biology↗

bioRxiv2018

Desynchronizing to be faster? Perceptual- and attentional-modulation of brain rhythms in sub-millisecond scale

Neural oscillatory signals has been associated with many high-level functions (e.g. attention and working memory), because they reflect correlated behaviors of neural population that would facilitate the information transfer in the brain. On the other hand, a decreased power of oscillation (event-related desynchronization or ERD) has been associated with an irregular state in which many neurons behave in an uncorrelated manner. In contrast to this view, here we show that the human ERD is linked to the increased regularity of oscillatory signals. Using magnetoencephalography, we found that presenting a visual stimulus not only induced the ERD of alpha (8-13 Hz) and beta (13-30 Hz) rhythms in the contralateral visual cortex but also reduced the mean and variance of their inter-peak intervals (IPIs). This indicates that the suppressed alpha/beta rhythms became faster (reduced mean) and more regular (reduced variance) during visual stimulation. The same changes in IPIs, especially those of beta rhythm, were observed when subjects allocated their attention to a contralateral visual field. Those results revealed a new role of the ERD and further suggested that our brain regulates and accelerates a clock for neural computations by actively inducing the desynchronization in task-relevant regions.

neuroscience↗

bioRxiv2018

csuWGCNA: a combination of signed and unsigned WGCNA to capture negative correlations

Network analysis helps us to understand how genes jointly affect biological functions. Weighted Gene Co-expression Network Analysis (WGCNA) is a frequently used method to build gene co-expression networks. WGCNA may be calculated with signed or unsigned correlations, with both methods having strengths and weaknesses, but both methods fail to capture weak and moderate negative correlations, which may be important in gene regulation. Combining the advantages and removing the disadvantages of both methods in one analysis would be desirable. In this study, we present a combination of signed and unsigned WGCNA (csuWGCNA), which combines the signed and unsigned methods and improves the detection of negative correlations. We applied csuWGCNA in 14 simulated datasets, six ground truth datasets and two large human brain datasets. Multiple metrics were used to evaluate csuWGCNA at gene pair and gene module levels. We found that csuWGCNA provides robust module detection and captures more negative correlations than the other methods, and is especially useful for non-coding RNA such as microRNA (miRNA) and long non-coding RNA (lncRNA). csuWGCNA enables detection of more informative modules with biological functions than signed or unsigned WGCNA, which enables discovery of novel gene regulation and helps interpretations in systems biology.

bioinformatics↗

bioRxiv2018

A novel GATA-binding protein 4 gene variation associated with familial atrial septal defect

Atrial septal defect (ASD) is the most common congenital heart defect. Part of ASD exhibits familial predisposition, but the genetic mechanism remains largely unknown. In the current study, we use multiple methods to identify and confirm the gene associated with a familial ASD. Chromosomal microarray analyses, whole exome sequencing, Sanger sequencing, multiple bioinformatics programs, in silico protein structure modeling and molecular dynamics simulation were performed to predict the pathogenic of the variant gene. Dual-Luciferase reporter gene assay was performed to evaluate the influence of downstream target gene of the target variation. A novel, heterozygous, missense variant GATA-binding protein 4 (GATA4):c.958C>T, p.R320W was identified. An autosomal dominant inheritance pattern with incomplete penetrance was observed in the family. Multiple prediction indicate the variant in GATA4 to be deleterious. Molecular dynamics simulation further revealed that the variation of p.R320W could prevent the zinc finger of GATA4 from interacting with the DNA. Dual-Luciferase reporter assay demonstrated a significant decrease in transcriptional activity (0.90{+/-}0.099 vs 1.50{+/-}0.079, p = 0.001) of the variant GATA4 compared with the wild type. We believe the novel variation of GATA4 (c.958C>T, p.R320W) with a pattern of incomplete inheritance that may be highly associated with this familial ASD. The finding enriched our knowledge of variations that may associated with ASD.

genetics↗

bioRxiv2018

Proteome-scale detection of drug-target interactions using correlations in transcriptomic perturbations

The development of an expanded chemical space for screening is an essential step in the challenge of identifying chemical probes for new, genomic-era protein targets. However, the difficulty of identifying targets for novel compounds leads to the prioritization of synthesis linked to known active scaffolds that bind familiar protein families, slowing the exploration of available chemical space. To change this paradigm, we validated a new pipeline capable of identifying compound-protein interactions even for compounds with no similarity to known drugs. Based on differential mRNA profiles from drug treatments and gene knockdowns across multiple cell types, we show that drugs cause gene regulatory network effects that correlate with those produced by silencing their target protein-coding gene. Applying supervised machine learning to exploit compound-knockdown signature correlations and enriching our predictions using an orthogonal structure-based screen, we achieved top-10/top-100 target prediction accuracies of 26%/41%, respectively, on a validation set 152 FDA-approved drugs and 3104 potential targets. We further predicted targets for 1680 compounds and validated a total of seven novel interactions with four difficult targets, including non-covalent modulators of HRAS and KRAS. We found that drug-target interactions manifest as gene expression correlations between drug treatment and both target gene knockdown and up/down-stream knockdowns. These correlations provide biologically relevant insight on the cell-level impact of disrupting protein interactions, highlighting the complex genetic phenotypes of drug treatments. Our pipeline can accelerate the identification and development of novel chemistries with potential to become drugs by screening for compound-target interactions in the full human interactome.

genomics↗

bioRxiv2018

Local Delivery of Stromal Cell-Derived Factor-1α Improves the Pregnancy Rate of Injured Uterus through the Promotion of Endometrial and Vascular Regeneration

Severe infection and mechanical injury of the uterus may lead to infertility and miscarriage. Currently, there is a lack of effective treatment modality for functional repair of uterine injury. To address this clinical challenge, this study aimed to develop a chemotactic composite scaffold by incorporating recombinant human stromal cell-derived factor-1 (rhSDF-1) into a silk fibroin-bacterial cellulose (SF-BC) membrane carrier. A rat model of uterine injury was utilized for this study, which was composed of three groups: blank control, implantation with SF-BC only or SF-BC loaded with rhSDF-1. The tissue regeneration efficacy of the three groups were analyzed and compared. The results showed that SF-BC loaded with rhSDF-1 significantly enhanced endometrial regeneration and arteriogenesis of the injured rat uterus, which led to improved pregnancy outcomes, thus indicating much promise for functional uterine repair and regeneration.

bioengineering↗

bioRxiv2017

Cell cycle repression and DNA repair defects follow constricted migration

Cancer cell invasion into tissue or narrow capillaries often elongates the nucleus and sometimes damages it, but cell cycle effects are unknown and highly relevant to tumorigenesis. Here, nuclear rupture and DNA breaks caused by constricted migration are quantified in different phases of cell cycle - which is effectively repressed. Cancer lines with varying levels of contact inhibition and lamina proteins exhibit diverse frequencies of nuclear lamina rupture after migration, with prerupture dilation of gene-edited RFP-Lamin-B1 preceding DNA repair factor leakage in pressure-controlled distension. Post-migration rupture indeed associates with mis-localized DNA repair factors and increased DNA breaks as quantified by pan-nucleoplasmic foci of {gamma}H2AX, with foci counts always suppressed in late cell cycle. When contact-inhibited cells migrate through large pores into sparse microenvironments, cells re-enter cell cycle consistent with release from contact inhibition. In contrast, constricting pores effectively delay re-entry, but the excess DNA damage nonetheless exceeds any cell cycle dependence. Partial depletion of topoisomerase does not strongly affect cell cycle or the excess DNA damage, consistent with weak dependencies on replication stress. Constricted migration thus impacts cell cycle as well as DNA damage.

biophysics↗