Biology subjects

Xie, F.

Publications and source records attributed to Xie, F..

52 records · Page 3Linked to original sources

bioRxiv2021

Asymmetric Redundancy of Soybean Nodule Inception (NIN) Genes in Root Nodule Symbiosis

NIN is one of the most important root nodule symbiotic genes as it is required for both infection and nodule organogenesis in legume. Unlike most legumes with a sole NIN gene, there are four putative NIN genes in soybean (Glycine max). Whether and how these orthologs NIN genes contribute to soybean-rhizobia symbiotic interaction remain unknown. In this study, we found that all four GmNIN genes are induced by rhizobia, and that conserved CE and CYC binding motifs in their promoter regions are required for their expression in the nodule formation process. By generation of multiplex Gmnin mutants, we found that Gmnin1a nin2a nin2b triple mutant and Gmnin1a nin1b nin2a nin2b quadruple mutant displayed similar defects in rhizobia infection and root nodule formation, Gmnin2a nin2b produced less nodules but displayed hyper infection phenotype than wild type, while a Gmnin1a nin1b double mutant nodulated as wild type. Overexpression of GmNIN1a, GmNIN1b, GmNIN2a, and GmNIN2b reduced nodule numbers after rhizobia inoculation, with GmNIN1b overexpression having the weakest effect. In addition, overexpression of GmNIN1a, GmNIN2a, or GmNIN2b, but not GmNIN1b, produced malformed pseudo-nodule like structures without rhizobia inoculation. In conclusion, GmNIN1a, GmNIN2a and GmNIN2b play functionally redundant yet complicated roles for soybean nodulation. GmNIN1b, although is expressed at comparable level with other homologs, plays a minor role in root nodule symbiosis. Our work provides insight into the understanding of asymmetrically redundant function of GmNIN genes in soybean.

developmental biology↗

bioRxiv2021

Principles of ecDNA random inheritance drive rapid genome change and therapy resistance in human cancers

The foundational principles of Darwinian evolution are variation, selection, and identity by descent. Oncogene amplification on extrachromosomal DNA (ecDNA) is a common event, driving aggressive tumour growth, drug resistance, and shorter survival in patients1-4. Currently, the impact of non-chromosomal oncogene inheritance--random identity by descent--is not well understood. Neither is the impact of ecDNA on variation and selection. Here, integrating mathematical modeling, unbiased image analysis, CRISPR-based ecDNA tagging, and live-cell imaging, we identify a set of basic "rules" for how random ecDNA inheritance drives oncogene copy number and distribution, resulting in extensive intratumoural ecDNA copy number heterogeneity and rapid adaptation to metabolic stress and targeted cancer treatment. Observed ecDNAs obligatorily benefit host cell survival or growth and can change within a single cell cycle. In studies ranging from well-curated, patient-derived cancer cell cultures to clinical tumour samples from patients with glioblastoma and neuroblastoma treated with oncogene-targeted drugs, we show how these ecDNA inheritance "rules" can predict, a priori, some of the aggressive features of ecDNA-containing cancers. These properties are entailed by their ability to rapidly change their genomes in a way that is not possible for cancers driven by chromosomal oncogene amplification. These results shed new light on how the non-chromosomal random inheritance pattern of ecDNA underlies poor outcomes for cancer patients.

cancer biology↗

bioRxiv2021

Inhibition of aryl hydrocarbon receptor signaling promotes the terminal differentiation of human erythrocytes

The aryl hydrocarbon receptor (AHR) plays an important role during mammalian embryo development. Inhibition of AHR signaling promotes the development of hematopoietic stem/progenitor cells. AHR also regulates the functional maturation of blood cells, such as T cells and megakaryocytes. However, little is known about the role of AHR modulation during the development of erythroid cells. In this study, we used the AHR antagonist StemRegenin 1 (SR1) and the AHR agonist 2, 3, 7, 8-tetrachlorodibenzo-p-dioxin (TCDD) during different stages of human erythropoiesis to elucidate the function of AHR. We found that antagonizing AHR signaling improved the production of human embryonic stem cell (hESC)-derived erythrocytes and enhanced erythroid terminal differentiation. RNA-sequencing showed that SR1 treatment of proerythroblasts upregulated the expression of erythrocyte differentiation-related genes and downregulated actin organization-associated genes. We found that SR1 promoted F-actin remodeling in terminally differentiated erythrocytes, favoring the maturation of the cytoskeleton and enucleation. We demonstrated that the effects of AHR inhibition on erythroid maturation resulted from an increase in F-actin remodeling. Our findings help uncover the mechanism for AHR-mediated human erythroid cell differentiation. We also provide a new approach toward the large-scale production of functionally mature hPSC-derived erythrocytes for use in translational applications.

cell biology↗

bioRxiv2021

GPI anchor remodeling by the plant PGAP1 ortholog HLD1 is essential for Papaver self-incompatibility

In eukaryotes, glycosylphosphatidylinositol anchored proteins (GPI-APs) are tethered to the outer leaflet of the plasma membrane where they function as key regulators of a plethora of biological processes. Self-incompatibility (SI) plays a pivotal role regulating fertilization in higher plants through recognition and rejection of self pollen. Here we used Arabidopsis thaliana lines engineered to be self-incompatible by expression of Papaver SI determinants for an SI suppressor screen. We identify HLD1, an ortholog of human GPI-inositol deacylase PGAP1, whose mutation completely abolishes the SI response. We show that HLD1 functions as a GPI-inositol deacylase and that this GPI-remodeling activity is essential for SI. Using GFP-SKU5 as a representative GPI-AP, we show that HLD1 mutation does not affect GPI-AP production and targeting, but alters the configuration of mature GPI-APs. This prevents GPI-AP release from the plasma membrane, suggesting that this process plays a critical role in the regulation of SI. Our data not only identify GPI anchoring as a new pathway of SI providing new directions to investigate SI mechanisms, but identifies for the first time a function for GPI-AP remodeling by inositol deacylation in plants. One sentence summaryThe Papaver self-incompatibility response requires GPI-anchor modification by HLD1, an ortholog of the mammalian PGAP1.

plant biology↗

bioRxiv2021

Hydroxyl-radical scavenging activity of hydrogen does not significantly contribute to its biological function

Since Ohsawa et al. reported a biological antioxidant function of hydrogen in 2007, researchers have now shown it to exert protective effects in a wide range of human and animal disease models. Clinical observations and scientific arguments suggest that a selective scavenging property of H2 cannot adequately explain the beneficial effects of hydrogen. However, there is no experiment challenging the original published data, which suggested that molecular hydrogen dissolved in solution reacts with hydroxyl radicals in cell-free systems. Here we report that a hydrogen-saturated solution (0.6 mM) did not significantly reduce hydroxyl radicals in the Fenton system using 1 mM H2O2. We replicated the same condition as Ohsawas study (i.e. 5 {micro}M H2O2), and observed a decrease in *OH radicals in both the H2-rich and N2-rich solutions, which may be caused by a decreased dissolved oxygen concentration. Finally, we determined the effect of hydrogen on a high-valence iron enzyme, horseradish peroxidase (HRP), and found that hydrogen could directly increase HRP activity in a dose-dependent manner. Overall, these results indicate that although H2 and *OH can react, the reaction rate is too low to have physiological function. The target of hydrogen is more complex, and its interaction with enzymes or other macro-molecules deserve more attention and in-depth study.

biochemistry↗

bioRxiv2020

TRAF4 inhibits bladder cancer progression by promoting BMP/SMAD signalling pathway

Bladder cancer is one of the most prevalent cancer types in the world, frequently exhibiting invasion and metastasis and therefore associated with poor prognosis. It is a progressive disease with high recurrence rates even after surgery, which calls for the urgent need for early intervention and diagnosis. The E3 ubiquitin ligase TNF Receptor Associated Factor 4 (TRAF4) has been largely implicated as a tumour-promoting element in a wide range of cancers. Over-expression and amplification of this gene product has been a common observation in breast and other metastatic tumours. In contrast, we observed that expression of TRAF4 negatively correlated with overall patient survival. Moreover, its expression was repressed at epigenetic levels in aggressive bladder cancer cells. We also describe an ERK kinase phosphorylation site on TRAF4 that inhibits its stability and localization to plasma membrane in such cells. Furthermore, knockdown of TRAF4 in epithelial bladder cancer cell lines leads to gain of mesenchymal genes and a loss of epithelial integrity. Reciprocally, stable over-expression of TRAF4 in mesenchymal cells leads to decreased migratory and invasive properties. Transcriptomic analysis upon TRAF4 mis-expression in bladder cancer cell lines revealed that higher TRAF4 expression enhanced BMP/SMAD and dampened NF-{kappa}B signalling pathways. Importantly, this notion was confirmed in bladder cancer patient material. Mechanistically, we showed that TRAF4 targets the E3 ubiquitin ligase SMURF1, a negative regulator of BMP/SMAD signalling, for proteasomal degradation in bladder cancer cells. We show that genetic and pharmacological inhibition of SMURF1 or its function inhibited migration of aggressive (mesenchymal) bladder cancer cells.

cancer biology↗

bioRxiv2020

Proteogenomics analysis of non-coding region encoded peptides in normal tissues and five cancer types

Previous proteogenomics studies have identified peptides encoded by non-coding sequences such as pseudogenes and long non-coding RNAs (lncRNAs) in healthy human tissues as well as in cancers. However, these studies are either limited to analyze only healthy or cancerous tissues, lacking direct comparison between them. In this study, we used an established proteogenomics analysis workflow to analyze proteomics data from 926 cancer samples of five cancer types and 31 different healthy human tissues. We observed the protein level expression of pseudogenes can be classified as ubiquitous or lineage expression. The ubiquitously translated pseudogenes are homologous to house-keeping genes. Our results suggest there is common mechanism underlying the translation of pseudogenes in both normal and tumors. Moreover, we discovered several translated non-coding genes such as DGCR5 and RHOXF1P3 that were up-regulated in tumors compared to normal. These translated pseudogenes imply the biological function of pseudogenes extends to protein level yet to be studied. Further, from the non-coding region encoded peptides specifically detected in tumors we have predicted a large number of potential neoantigens which can be developed as cancer vaccine.

bioinformatics↗

bioRxiv2020

An integrated transcriptomic and epigenomic atlas of mouse primary motor cortex cell types

Single cell transcriptomics has transformed the characterization of brain cell identity by providing quantitative molecular signatures for large, unbiased samples of brain cell populations. With the proliferation of taxonomies based on individual datasets, a major challenge is to integrate and validate results toward defining biologically meaningful cell types. We used a battery of single-cell transcriptome and epigenome measurements generated by the BRAIN Initiative Cell Census Network (BICCN) to comprehensively assess the molecular signatures of cell types in the mouse primary motor cortex (MOp). We further developed computational and statistical methods to integrate these multimodal data and quantitatively validate the reproducibility of the cell types. The reference atlas, based on more than 600,000 high quality single-cell or -nucleus samples assayed by six molecular modalities, is a comprehensive molecular account of the diverse neuronal and non-neuronal cell types in MOp. Collectively, our study indicates that the mouse primary motor cortex contains over 55 neuronal cell types that are highly replicable across analysis methods, sequencing technologies, and modalities. We find many concordant multimodal markers for each cell type, as well as thousands of genes and gene regulatory elements with discrepant transcriptomic and epigenomic signatures. These data highlight the complex molecular regulation of brain cell types and will directly enable design of reagents to target specific MOp cell types for functional analysis.

neuroscience↗

bioRxiv2020

Exploring spatiotemporal changes in ecosystem service values and hotspots in Southwest of China, Mekong Region

Xishuangbanna in the southwestern border of China is located in the upper reaches of the Mekong River between the Indo-China Peninsula and the East Asian continent. It is the largest tropical rain forest and monsoon forest in China. They have an irreplaceable ecological service function and are an important barrier to maintaining the ecological security of the Mekong River transboundary basin of the Lancang River. Based on three sets of remote sensing data (1996, 2003, 2010 and 2016), this study has made an exploration on spatio-temporal changes of Xishuangbanna, and also made an assessment on different ecosystem values of six types of ecosystem in Xishuangbanna based on related theories of ecological economics. Results showed that the values of Xishuangbanna ecosystem services in 1996, 2003, 2010, and 2016 were 70.4014billion yuan, 70.2115 billion yuan, 68.5129 billion yuan and 63.6098 billion yuan, respectively. The total value shows a continuous decreasing trend, reflecting the continuous decline in the ability of the Xishuangbanna ecosystem to provide services to humans. If divided by ecosystem types, forest and rubber were two types that have the greatest proportion of service values. In the perspective of service types, soil formation and protection account for the largest proportion, followed by gas regulation and biodiversity protection. Studying Xishuangbannas ecosystem service values is helpful to explore the sustainable development of resources and economy. HighlightThis paper used coefficient of sensitivity to determine the dependence of ESV on the change of ecosystem value coefficient over time. The total amount of ESV shows a continuous downward trend, indicating that the ecological environment of Xishuangbanna is still severe. The temporal-spatial change of ESV was analyzed for two decades.

ecology↗

bioRxiv2020

Hydrogen evolution and absorption phenomena in plasma membrane of higher plants

Molecular hydrogen (H2) exhibits a wide breadth of botanical effects especially in improving the resistance to abiotic stress. However, the primary target is not clear. Bidirectional hydrogenases have been well studied in microbes and alga, but there is a paucity of research in higher plants. Here, we used real-time spectrophotometry, gas chromatography and H2 sensor to detect the H2-evolving and H2-uptake activity of the plasma membrane (PM) vesicles of higher plants. Net H+, Na+ and K+ fluxes were measured using Non-invasive Micro-test Technology (NMT). We found that the PM vesicles of Vigna radiata hypocotyls and Capsicum annuum stems have the ability of both oxidizing and producing H2. This two-way enzymatic activity coupled with the redox of ferricyanide/ferrocyanide and NADH/NAD+. H2 affected the H+ and Na+ fluxes on the surface of V. radiata hypocotyls. These results demonstrate that the PM vesicles of higher plants have the abilities of H2 evolution and absorption. The bidirectional activities may act as a valve to regulate the energy balance in plant cells.

biochemistry↗

bioRxiv2019

Single nucleus multi-omics links human cortical cell regulatory genome diversity to disease risk variants

Single-cell technologies enable measure of unique cellular signatures, but are typically limited to a single modality. Computational approaches allow integration of diverse single-cell datasets, but their efficacy is difficult to validate in the absence of authentic multi-omic measurements. To comprehensively assess the molecular phenotypes of single cells in tissues, we devised single-nucleus methylCytosine, Chromatin accessibility and Transcriptome sequencing (snmC2T-seq) and applied it to post-mortem human frontal cortex tissue. We developed a computational framework to validate fine-grained cell types using multi-modal information and assessed the effectiveness of computational integration methods. Correlation analysis in individual cells revealed distinct relations between methylation and gene expression. Our integrative approach enabled joint analyses of the methylome, transcriptome, chromatin accessibility and conformation for 63 human cortical cell types. We reconstructed regulatory lineages for cortical cell populations and found specific enrichment of genetic risk for neuropsychiatric traits, enabling prediction of cell types with causal roles in disease.

genomics↗

bioRxiv2019

The key miRNAs for metastasis and survival of colon adenocarcinoma

WGCNA (weighted gene co-expression network analysis) can provide a system-level insight into molecular interaction. To understand the co-expression pattern of miRNA in the progress of colon cancer development, this study constructed the WGCNA co-expression network to find the key microRNA of clinical significance and therefor provide possible personalized treatment targets. The miRNA expression data and clinical follow-up information of 442 valid colon cancer samples were obtained from TCGA. After the co-expression network was constructed, we found the turquoise module has the strongest correlation with stage IV. The miRNAs of the key module are enriched by GO and analyzed by KEGG, and the HUB-miRNAs are screened out through the network node degree. For clinical significance validation, data of 65 cases of colon cancer in GES29623 were analyzed by Cox regression and Kaplan-Meier, in 9 HUB-miRNAs, 2 miRNAs associated with overall survival rate were screened out. They can divide patients into high-risk group and low-risk group. Conclusion: has-miR-126-3p and has-miR-137 are the key miRNAs of COAD metastasis, they are of prognostic value in COAD.

bioinformatics↗

bioRxiv2019

Heart Rate n-Variability (HRnV) and Its Application to Risk Stratification of Chest Pain Patients in the Emergency Department

BackgroundChest pain is one of the most common complaints among patients presenting to the emergency department (ED). Causes of chest pain can be benign or life threatening, making accurate risk stratification a critical issue in the ED. In addition to the use of established clinical scores, prior studies have attempted to create predictive models with heart rate variability (HRV). In this study, we proposed heart rate n-variability (HRnV), an alternative representation of beat-to-beat variation in electrocardiogram (ECG) and investigated its association with major adverse cardiac events (MACE) for ED patients with chest pain. MethodsWe conducted a retrospective analysis of data collected from the ED of a tertiary hospital in Singapore between September 2010 and July 2015. Patients >20 years old who presented to the ED with chief complaint of chest pain were conveniently recruited. Five to six-minute single-lead ECGs, demographics, medical history, troponin, and other required variables were collected. We developed the HRnV-Calc software to calculate HRnV parameters. The primary outcome was 30-day MACE, which included all-cause death, acute myocardial infarction, and revascularization. Univariable and multivariable logistic regression analyses were conducted to investigate the association between individual risk factors and the outcome. Receiver operating characteristic (ROC) analysis was performed to compare the HRnV model (based on leave-one-out cross-validation) against other clinical scores in predicting 30-day MACE. ResultsA total of 795 patients were included in the analysis, of which 247 (31%) had MACE within 30 days. The MACE group was older and had a higher proportion of male patients. Twenty-one conventional HRV and 115 HRnV parameters were calculated. In univariable analysis, eleven HRV parameters and 48 HRnV parameters were significantly associated with 30-day MACE. The multivariable stepwise logistic regression identified 16 predictors that were strongly associated with the MACE outcome; these predictors consisted of one HRV, seven HRnV parameters, troponin, ST segment changes, and several other factors. The HRnV model outperformed several clinical scores in the ROC analysis. ConclusionsThe novel HRnV representation demonstrated its value of augmenting HRV and traditional risk factors in designing a robust risk stratification tool for patients with chest pain at the ED.

bioengineering↗

bioRxiv2019

Clinical manifestations and phenotypic analysis of new ANK1 gene mutations in 12 Chinese children with hereditary spherocytosis

ObjectiveTo summarize the clinical features and laboratory examination of ANK1 gene in 12 children with hereditary spherocytosis in China, and to determine the genetic mutations in those children.\n\nMethodsThe clinical data of children and their parents were collected and analyzed. The sequence of related genes was analyzed by second-generation sequencing technology. The suspected pathogenic mutations were detected by Sanger sequencing\n\nResultsNew mutations in the coding region of ANK1 was detected in 12 patients, which caused amino acid changes in the gene encoding, causing structural changes or loss of function.\n\nConclusionANK1 (c.1914_c.1918delTTTG), ANK1 (c.399T>G), ANK1 (c.1564delC), ANK1 (c.4439dupA ), ANK1 (c.4510_4513del), ANK1 (c.2961delC), ANK1 (c.2142dupT), ANK1 (c.2858+1G>C), ANK1 (c.3235delG), ANK1 (c.4739A>G), ANK1 (c.2638-2 A>G), ANK1 (c. 4739A>G) mutations in the coding region of the gene are the cause of suspicious disease in these 12 Chinese children. At the same time, second-generation gene sequencing technology is an effective means of confirming HS. Different types of mutations (P=0.388)and different mutation areas (P=0.660)had no significant effect on the severity of anemia. The 12 gene mutation sites in this study have not been included in the human genome database, dbSNP (v138) and ExAC databases. The new ANK1 gene mutations found in HS children can provide further exploration of the genetic etiology of HS in Chinese population.

genetics↗

bioRxiv2018

Bidirectional Control of Coronary Vascular Resistance by Eicosanoids via a Novel GPCR

Arachidonic acid metabolites epoxyeicosatrienoates (EETs) and hydroxyeicosatetraenoates (HETEs) are important regulators of myocardial blood flow and coronary vascular resistance (CVR), but their mechanisms of action are not fully understood. We identified G protein-coupled receptor 39 (GPR39) as a microvascular smooth muscle cell (mVSMC) receptor antagonistically regulated by two endogenous eicosanoids: 15-HETE, which stimulates GPR39 to increase mVSMC intracellular calcium and augment microvascular CVR, and 14,15-EET, which inhibits these actions. Furthermore, zinc ion acts as an allosteric modulator of GPR39 to potentiate the efficacy of the two ligands. Our findings will have a major impact on understanding the roles of eicosanoids in cardiovascular physiology and disease, and provide an opportunity for the development of novel GPR39-targeting therapies for cardiovascular disease.\n\nOne Sentence SummaryGPR39 is a microvascular smooth muscle cell receptor regulated by two vasoactive eicosanoids with opposing actions.

physiology↗

bioRxiv2017

BayCount: A Bayesian Decomposition Method for Inferring Tumor Heterogeneity using RNA-Seq Counts

Tumors are heterogeneous - a tumor sample usually consists of a set of subclones with distinct transcriptional profiles and potentially different degrees of aggressiveness and responses to drugs. Understanding tumor heterogeneity is therefore critical for precise cancer prognosis and treatment. In this paper, we introduce BayCount, a Bayesian decomposition method to infer tumor heterogeneity with highly over-dispersed RNA sequencing count data. Using negative binomial factor analysis, BayCount takes into account both the between-sample and gene-specific random effects on raw counts of sequencing reads mapped to each gene. For the posterior inference, we develop an efficient compound Poisson based blocked Gibbs sampler. Simulation studies show that BayCount is able to accurately estimate the subclonal inference, including number of subclones, the proportions of these subclones in each tumor sample, and the gene expression profiles in each subclone. For real-world data examples, we apply BayCount to The Cancer Genome Atlas lung cancer and kidney cancer RNA sequencing count data and obtain biologically interpretable results. Our method represents the first effort in characterizing tumor heterogeneity using RNA sequencing count data that simultaneously removes the need of normalizing the counts, achieves statistical robustness, and obtains biologically/clinically meaningful insights. The R package BayCount implementing our model and algorithm is available for download.

bioinformatics↗