Susceptibility Analysis of Glacier Debris Flow Based on Remote Sensing Imagery and Deep Learning: A Case Study along the G318 Linzhi Section.

Glacial debris flow is a common natural disaster, and its frequency has been increasing in recent years due to the continuous retreat of glaciers caused by global warming. To reduce the damage caused by glacial debris flows to human and physical properties, glacier susceptibility assessment analysis is needed. Most research efforts consider the effect of existing glacier area and ignore the effect of glacier ablation volume change. In this paper, we consider the impact of glacier ablation volume change to investigate the susceptibility of glacial debris flow. The susceptibility to mudslide was evaluated by taking the glacial mudslide-prone ditch of G318 Linzhi section of Sichuan-Tibet Highway as the research object. First, by using a simple band ratio method with manual correction, we produced a glacial mudslide remote sensing image dataset, and second, we proposed a deep-learning-based approach using a weight-optimized glacial mudslide semantic segmentation model for accurately and automatically mapping the boundaries of complex glacial mudslide-covered remote sensing images. Then, we calculated the ablation volume by the change in glacier elevation and ablation area from 2015 to 2020. Finally, glacial debris flow susceptibility was evaluated based on the entropy weight method and Topsis method with glacial melt volume in different watersheds as the main factor. The research results of this paper show that most of the evaluation indices of the model are above 90%, indicating that the model is reasonable for glacier boundary extraction, and remote sensing images and deep learning techniques can effectively assess the glacial debris flow susceptibility and provide support for future glacial debris flow disaster prevention.

CircWHSC1 serves as a prognostic biomarker and promotes malignant progression of non-small-cell lung cancer via miR-590-5p/SOX5 axis.

Dysregulated circWHSC1 has been shown to play potential roles in diverse cancer types, including ovarian cancer, endometrial cancer and hepatocellular carcinoma (HCC). The objective of this study was to investigate its expression, underlying role and regulatory mechanism in non-small-cell lung cancer (NSCLC). The expression of circWHSC1 was determined by real-time PCR. After knockdown of circWHSC1 expression in NSCLC cells, the proliferation, migration, and invasion were detected using CCK-8, colony formation, and Transwell assays, and the effects of circWHSC1 on NSCLC tumorigenesis in vivo was also investigated. With the help of luciferase reporter and pull-down assays, we further explored the downstream mechanism of circWHSC1 in NSCLC cells. CircWHSC1 was highly expressed in NSCLC tissues and cell lines. The inhibition of circWHSC1 suppressed the malignant properties of NSCLC cells, as evidenced by the reduction of proliferation, migration and invasion. CircWHSC1 sponged miR-590-5p and functioned as an oncogene in NSCLC by increasing sex determining region Y-boxprotein 5 (SOX5) expression. CircWHSC1 may contribute to the oncogenicity of NSCLC via the regulation of miR-590-5p/SOX5 axis, which might be a novel therapeutic target in NSCLC.

Identification of a novel diagnosis model based on 5 hub genes for chronic thromboembolic pulmonary hypertension.

BACKGROUND: As a type of precapillary pulmonary hypertension, chronic thromboembolic pulmonary hypertension (CTEPH) results from incomplete pulmonary embolism resolution. In this study, we aimed to determine biomarker genes for predicting the prognosis of CTEPH. METHOD: RNAseq of CTEPH was collected from the public database, namely Gene Expression Omnibus (GEO), including GSE84538 and GSE188938, which combined a dataset (GSE). Differentially expressed genes (DEG) or miRNA (DEM) were identified by limma package. Functional enrichment analysis was performed by the WebGestaltR package. Then, the miRNA-mRNA network was presented by Cytoscape, and the protein-protein interactions (PPI) network was constructed by STRING. MCODE was mined by mature MCODE algorithm. Immune infiltration analysis was conducted by ESTIMATER and ssGSEA analysis. A diagnosis model was established by SVM algorithm. RESULT: In the GSE dataset, CTEPH samples had a lower GOBP_RESPONSE_TO_OXIDATIVE_STRESS score. A total of 628 DEGs and 31 DEMs were identified between CTEPH and normal samples. Afterward, DEGs were intersected with genes, which correlated with the GOBP_RESPONSE_TO_OXIDATIVE_STRESS score. A 26 DEMs-152 DEGs network was constructed, and a PPI network was established based on 152 DEGs to find 149 target genes. From the above 149 target genes, 3 modules were extracted to obtain 15 core targets. Finally, 5 hub genes were obtained by the intersection of 15 core targets and genes in MCODE2. A total of 5 hub genes were positively correlated with most immune cell scores as well as GOBP_RESPONSE_TO_OXIDATIVE_STRESS. It was found that a diagnosis model based on 5 hub genes had a well diagnostic ability for CTEPH. CONCLUSION: We identified 5 hub genes associated with oxidative stress. It can be concluded that they may be beneficial in diagnosing CTEPH.

Bioinformatics analysis based on DNA methylation data identified in lung adenocarcinoma subgroups with different immune characteristics and clinical outcomes.

Background: DNA methylation can be used to predict clinical outcomes and improve the classification of tumors. The present study aimed to develop a new lung adenocarcinoma (LUAD) classification system according to the immune cell gene-related methylation sites and to reveal the survival outcomes, clinical characteristics, immune cell infiltration, stem cell characteristics, and genomic variations of each molecular subgroup. Methods: The DNA methylation sites of LUAD samples collected from The Cancer Genome Atlas (TCGA) database were analyzed, and the prognosis-related differential methylation sites (DMS) were screened. Consistent clustering of the samples was conducted using ConsensusClusterPlus, and the classification results were verified by principal component analysis (PCA). The survival and clinical results, immune cell infiltration, stemness, DNA mutation, and copy number variation (CNV) of each molecular subgroup were analyzed. Results: A total of 40 DMS were obtained by difference and univariate COX analyses, and the TCGA LUAD samples were divided into three subgroups: cluster 1 (C1), cluster 2 (C2), and cluster 3 (C3). Among these subgroups, the overall survival (OS) of C3 was significantly higher than that of C1 and C2. Compared with C1 and C3, C2 had the lowest innate immune cell and adaptive immune cell infiltration scores; the lowest stromal score, immune score, and iconic immune checkpoint expression; and the highest expression of messenger RNA (mRNA) expression-based stemness indices (mRNAsi), DNA methylation-based stemness index (mDNAsi), and tumor mutational burden (TMB). Conclusions: In this study, we proposed a LUAD typing system based on DMS, which was closely related to the survival, clinical features, immune characteristics, and genomic variations of LUAD, and may contribute to the development of personalized therapy for new specific subtypes.

Applications of Diacylglycerol Acyltransferase for Triacylglycerol Production in Mortierella alpina.

Triacylglycerol (TG) with high-value long-chain polyunsaturated fatty acids is beneficial to human health; consequently, there is an urgent need to broaden its sources due to the current growing demand. Mortierella alpina, one of the most representative oleaginous fungi, is the only certificated source of dietary arachidonic acid-rich oil supplied in infant formula. This study was conducted to improve TG production in M. alpina by homologous overexpression of diacylglycerol acyltransferase (DGAT) and linseed oil (LSO) supplementation. Our results showed that the homologous overexpression of MaDGAT1B and MaDGAT2A strengthened TG biosynthesis and significantly increased the TG content compared to the wild-type by 12.24% and 14.63%, respectively. The supplementation with an LSO concentration of 0.5 g/L elevated the TG content to 83.74% and total lipid yield to 4.26 ± 0.38 g/L in the M. alpina-MaDGAT2A overexpression strain. Our findings provide an effective strategy for enhancing TG production and highlight the role of DGAT in TG biosynthesis in M. alpina.

Reprogramming the immunosuppressive microenvironment of IDH1 wild-type glioblastoma by blocking Wnt signaling between microglia and cancer cells.

The vast majority (>90%) of glioblastoma (GBM) patients belong to the isocitrate dehydrogenase 1 wild type (IDH1WT) group which exhibits a poor prognosis with a median survival of less than 15 months. This study demonstrated numerous immunosuppressive genes as well as ß-catenin gene, pivotal for Wnt/ß-catenin signaling, were upregulated in 206 IDH1WT glioma patients using the Chinese Glioma Genome Atlas (CGGA) database. The increase in microglia with an immunosuppressive phenotype and the overexpression of ß-catenin protein were further verified in IDH1WT GBM patients and IDH1WT GL261 glioma allografts. Subsequently, we found that IDH1WT GL261 cell-derived conditioned medium activated Wnt/ß-catenin signaling in primary microglia and triggered their transition to an immunosuppressive phenotype. Blocking Wnt/ß-catenin signaling not only attenuated microglial polarization to the immunosuppressive subtype but also reactivated immune responses in IDH1WT GBM allografts by simultaneously enhancing cytotoxic CD8+ T cell infiltration and downregulating regulatory T cells. Positron emission tomography imaging demonstrated enhanced proinflammatory activities in IDH1WT GBM allografts after the blockade of Wnt signaling. Finally, gavage administration of a Wnt signaling inhibitor significantly restrained tumor proliferation and improved the survival of model mice bearing IDH1WT GBM allografts. Depletion of CD8+ T cells remarkably abrogated the therapeutic efficacy induced by the Wnt signaling inhibitor. Overall, the present work indicates that the crosstalk between IDH1WT glioma cells and immunosuppressive microglia is important in maintaining the immunosuppressive glioma microenvironment. Blocking Wnt/ß-catenin signaling is a promising complement for IDH1WT GBM treatment by improving the hostile immunosuppressive microenvironment.

Spatio-Temporal Differentiation and Driving Mechanism of the "Resource Curse" of the Cultivated Land in Main Agricultural Production Regions: A Case Study of Jianghan Plain, Central China.

Cultivated land resources are an important component of natural resources and significant in stabilizing economic and social order and ensuring national food security. Although the research on resource curse has progressed considerably, only a few studies have explored the existence and influencing factors of the resource curse of non-traditional mineral resources. The current study introduced resource curse theory to the cultivated land resources research and directly investigated the county-level relationship between cultivated land resource abundance and economic development. Meanwhile, the spatiotemporal dynamic pattern and driving factors of the cultivated land curse were evaluated on the cultivated land curse coefficient in China's Jianghan Plain from 2001 to 2017. The results indicated that the curse coefficient of cultivated land resources in Jianghan Plain generally shows a downward trend. That is, the curse phenomenon of the cultivated land resources in large regions did not improve significantly in 2001-2017. The influencing factors of the cultivated land resource curse in different cursed degree areas varied and the spatial interaction of the cursed degree areas differed as well. This study proposed a transmission mechanism of the cultivated land resource curse in Jianghan Plain. Policies from throughout the entire and within the main agricultural producing areas were proposed to adjust the cultivated land resource curse. The results and conclusions of this study will be beneficial in improving future land-use policies in major agricultural areas and reducing lag in economic development caused by the strict protection of cultivated land resources.

Advances in targeting and heterologous expression of genes involved in the synthesis of fungal secondary metabolites.

The revolutionary discovery of penicillin only marks the start of our exploration for valuable fungal natural products. Advanced genome sequencing technologies have translated the fungal genome into a huge reservoir of "recipes" - biosynthetic gene clusters (BGCs) - for biosynthesis. Studying complex fungal genetics demands specific gene manipulation strategies. This review summarizes the current progress in efficient gene targeting in fungal cells and heterologous expression systems for expressing fungal BGCs of fungal secondary metabolites.