25 research outputs found
CoreāShell Bimetallic Carbide Nanoparticles Confined in a Three-Dimensional NāDoped Carbon Conductive Network for Efficient Lithium Storage
Carbides represent a class of functional materials with unique properties and increasing importance. However, the harsh conditions in conventional synthetic strategies impede subtle control over size and morphology of carbides, which is highly imperative for their practical applications. Herein, we report a facile, simple approach to prepare porous Co<sub>3</sub>ZnC/N-doped carbon hybrid nanospheres. In this structure, the Co<sub>3</sub>ZnC nanoparticles exhibit a coreāshell structure and they are uniformly confined in N-doped carbon conductive networks forming rather uniform nanospheres. The hybrid nanospheres have a specific surface area as high as 170.5 m<sup>2</sup> g<sup>ā1</sup>. When evaluated as an anode material for lithium ion batteries, they show an excellent lithium storage performance, which can be attributed to the combined effect of the coreāshell Co<sub>3</sub>ZnC nanoparticles, the pore structure and the highly conductive and elastic N-doped carbon networks. This work provides an efficient route for the facile production of nanoscale carbides with desirable manipulation over size and morphology for many of important applications
Statistical landslide susceptibility assessment using Bayesian logistic regression and Markov Chain Monte Carlo (MCMC) simulation with consideration of model class selection
Landslide susceptibility mapping (LSM) plays an essential role in landslide management and contributes to decision-makers and planners to formulate landslide prevention policies. It is often carried out by predicting possibility of landslide occurrence first from numerous landslides conditioning factors (LCFs), followed by partitioning areas with different landslide susceptibility levels. Numerous methods have been proposed for such a purpose, saying logistic regression (LR), deep learning methods, etc. Among these methods, LR is the most widely used in literature, which may be attributed to its good performance and easy-to-follow. However, few studies explore uncertainty and reliability of the LR in LSM. Furthermore, not all LCFs contribute significantly to the landslide occurrence, saying elevation, distance to roads, etc. How to objectively determine the most relevant LCFs is another issue that remains unsolved. This study proposes a Bayesian LR method for landslide susceptibility assessment (LSA), together with Markov Chain Monte Carlo (MCMC) simulation for parameter estimation. MCMC samples are used to determine the optimal model, and to quantify the uncertainty associated with the LSM. Real-life data from Shaanxi Province are used for illustration. Results show that the proposed method works reasonably well in determination of the optimal model and in uncertainty quantification in LSM.</p
Table_5_Integrated transcriptome and metabolome profiling reveals mechanisms underlying the infection of Cytospora mali in āJin Hongā branches.XLSX
IntroductionValsa canker, caused by Cytospora mali, is a destructive disease in apple production. However, the mechanism by which apple defend against C. mali infection remains unclear.MethodsIn this study, the integrative transcriptional and metabolic analysis were used to investigate the responses of the āJin Hongā apple branches to the invasion of C. mali.Results and DiscussionResults showed that the differentially expressed genes were mainly enriched in the pathways of carbon metabolism, photosynthesis-antenna proteins, and biosynthesis of amino acids pathways. Additionally, the differentially accumulated metabolites were significantly enriched in aminoacyl-tRNA biosynthesis, fructose and mannose metabolism, and alanine, aspartate, and glutamate metabolism pathways. Conjoint analysis revealed that C. mali infection significantly altered 5 metabolic pathways, 8 highly relevant metabolites and 15 genes of apples. Among which the transcription factors WRKY and basic domain leucine zipper transcription family were induced, the Ī±-linolenic acid and betaine were significantly accumulated in C. mali infected apple stems. This work presents an overview of the changes in gene expression and metabolic profiles in apple under the inoculation of C. mali, which may help to further screen out the mechanism of plant-pathogen interaction at the molecular level.</p
Table_4_Integrated transcriptome and metabolome profiling reveals mechanisms underlying the infection of Cytospora mali in āJin Hongā branches.XLSX
IntroductionValsa canker, caused by Cytospora mali, is a destructive disease in apple production. However, the mechanism by which apple defend against C. mali infection remains unclear.MethodsIn this study, the integrative transcriptional and metabolic analysis were used to investigate the responses of the āJin Hongā apple branches to the invasion of C. mali.Results and DiscussionResults showed that the differentially expressed genes were mainly enriched in the pathways of carbon metabolism, photosynthesis-antenna proteins, and biosynthesis of amino acids pathways. Additionally, the differentially accumulated metabolites were significantly enriched in aminoacyl-tRNA biosynthesis, fructose and mannose metabolism, and alanine, aspartate, and glutamate metabolism pathways. Conjoint analysis revealed that C. mali infection significantly altered 5 metabolic pathways, 8 highly relevant metabolites and 15 genes of apples. Among which the transcription factors WRKY and basic domain leucine zipper transcription family were induced, the Ī±-linolenic acid and betaine were significantly accumulated in C. mali infected apple stems. This work presents an overview of the changes in gene expression and metabolic profiles in apple under the inoculation of C. mali, which may help to further screen out the mechanism of plant-pathogen interaction at the molecular level.</p
Table_2_Integrated transcriptome and metabolome profiling reveals mechanisms underlying the infection of Cytospora mali in āJin Hongā branches.XLSX
IntroductionValsa canker, caused by Cytospora mali, is a destructive disease in apple production. However, the mechanism by which apple defend against C. mali infection remains unclear.MethodsIn this study, the integrative transcriptional and metabolic analysis were used to investigate the responses of the āJin Hongā apple branches to the invasion of C. mali.Results and DiscussionResults showed that the differentially expressed genes were mainly enriched in the pathways of carbon metabolism, photosynthesis-antenna proteins, and biosynthesis of amino acids pathways. Additionally, the differentially accumulated metabolites were significantly enriched in aminoacyl-tRNA biosynthesis, fructose and mannose metabolism, and alanine, aspartate, and glutamate metabolism pathways. Conjoint analysis revealed that C. mali infection significantly altered 5 metabolic pathways, 8 highly relevant metabolites and 15 genes of apples. Among which the transcription factors WRKY and basic domain leucine zipper transcription family were induced, the Ī±-linolenic acid and betaine were significantly accumulated in C. mali infected apple stems. This work presents an overview of the changes in gene expression and metabolic profiles in apple under the inoculation of C. mali, which may help to further screen out the mechanism of plant-pathogen interaction at the molecular level.</p
Table_1_Integrated transcriptome and metabolome profiling reveals mechanisms underlying the infection of Cytospora mali in āJin Hongā branches.XLSX
IntroductionValsa canker, caused by Cytospora mali, is a destructive disease in apple production. However, the mechanism by which apple defend against C. mali infection remains unclear.MethodsIn this study, the integrative transcriptional and metabolic analysis were used to investigate the responses of the āJin Hongā apple branches to the invasion of C. mali.Results and DiscussionResults showed that the differentially expressed genes were mainly enriched in the pathways of carbon metabolism, photosynthesis-antenna proteins, and biosynthesis of amino acids pathways. Additionally, the differentially accumulated metabolites were significantly enriched in aminoacyl-tRNA biosynthesis, fructose and mannose metabolism, and alanine, aspartate, and glutamate metabolism pathways. Conjoint analysis revealed that C. mali infection significantly altered 5 metabolic pathways, 8 highly relevant metabolites and 15 genes of apples. Among which the transcription factors WRKY and basic domain leucine zipper transcription family were induced, the Ī±-linolenic acid and betaine were significantly accumulated in C. mali infected apple stems. This work presents an overview of the changes in gene expression and metabolic profiles in apple under the inoculation of C. mali, which may help to further screen out the mechanism of plant-pathogen interaction at the molecular level.</p
Table_3_Integrated transcriptome and metabolome profiling reveals mechanisms underlying the infection of Cytospora mali in āJin Hongā branches.XLSX
IntroductionValsa canker, caused by Cytospora mali, is a destructive disease in apple production. However, the mechanism by which apple defend against C. mali infection remains unclear.MethodsIn this study, the integrative transcriptional and metabolic analysis were used to investigate the responses of the āJin Hongā apple branches to the invasion of C. mali.Results and DiscussionResults showed that the differentially expressed genes were mainly enriched in the pathways of carbon metabolism, photosynthesis-antenna proteins, and biosynthesis of amino acids pathways. Additionally, the differentially accumulated metabolites were significantly enriched in aminoacyl-tRNA biosynthesis, fructose and mannose metabolism, and alanine, aspartate, and glutamate metabolism pathways. Conjoint analysis revealed that C. mali infection significantly altered 5 metabolic pathways, 8 highly relevant metabolites and 15 genes of apples. Among which the transcription factors WRKY and basic domain leucine zipper transcription family were induced, the Ī±-linolenic acid and betaine were significantly accumulated in C. mali infected apple stems. This work presents an overview of the changes in gene expression and metabolic profiles in apple under the inoculation of C. mali, which may help to further screen out the mechanism of plant-pathogen interaction at the molecular level.</p
Additional file 1: of Prediction of protein solvent accessibility using PSO-SVR with multiple sequence-derived features and weighted sliding window scheme
PSI-BLAST-based Features
Additional file 2: of Prediction of protein solvent accessibility using PSO-SVR with multiple sequence-derived features and weighted sliding window scheme
Performance of Various window sizes for the least square linear regression model
Image_8_TP53I13 promotes metastasis in glioma via macrophages, neutrophils, and fibroblasts and is a potential prognostic biomarker.jpeg
BackgroundTP53I13 is a protein coding tumor suppression gene encoded by the tumor protein p53. Overexpression of TP53I13 impedes tumor cell proliferation. Nevertheless, TP53I13 role and expression in the emergence and progression of glioma (low-grade glioma and glioblastoma) are yet to be identified. Thus, we aim to use comprehensive bioinformatics analyses to investigate TP53I13 and its prognostic value in gliomas.MethodsMultiple databases were consulted to evaluate and assess the expression of TP53I13, such as the Cancer Genome Atlas (TCGA), the Chinese Glioma Genome Atlas (CGGA), GeneMANIA, and Gene Expression Profiling Interactive. TP53I13 expression was further explored using immunohistochemistry (IHC) and multiplex immunohistochemistry (mIHC). Through Gene Set Enrichment Analysis (GSEA), the biological functions of TP53I13 and metastatic processes associated with it were studied.ResultsThe expression of TP53I13 was higher in tumor samples compared to normal samples. In samples retrieved from the TCGA and CGGA databases, high TP53I13 expression was associated with poor survival outcomes. The analysis of multivariate Cox showed that TP53I13 might be an independent prognostic marker of glioma. It was also found that increased expression of TP53I13 was significantly correlated with PRS type, status, 1p/19q codeletion status, IDH mutation status, chemotherapy, age, and tumor grade. According to CIBERSORT (Cell-type Identification by Estimating Relative Subsets of RNA Transcript), the expression of TP53I13 correlates with macrophages, neutrophils, and dendritic cells. GSEA shows a close correlation between TP53I13 and p53 signaling pathways, DNA replication, and the pentose phosphate pathway.ConclusionOur results reveal a close correlation between TP53I13 and gliomas. Further, TP53I13 expression could affect the survival outcomes in glioma patients. In addition, TP53I13 was an independent marker that was crucial in regulating the infiltration of immune cells into tumors. As a result of these findings, TP53I13 might represent a new biomarker of immune infiltration and prognosis in patients with gliomas.</p