Effect of Coal Particle Size on the Kinetics of Gas Hydrate Formation.

Coal and gas outbursts are one of the main factors that restrict access to high-quality coal, and the adoption of gas hydration solidification technology is expected to reduce the chance of such accidents. In this study, experiments were conducted on the kinetics of CH4 and CO2 hydrate formation in four coal particle size systems (C1:0.425-0.850 mm, C2:0.250-0.425 mm, C3:0.180-0.250 mm, and C4:0.150-0.180 mm). An experimental apparatus for high-pressure visualization of gas hydrate generation was used to obtain kinetic parameters such as gas consumption and the average growth rate during hydrate formation. The results showed that gas consumption and average growth rate of CO2 hydrate decreased with decreasing coal grain size, while gas consumption and average growth rate of CH4 hydrate decreased and then increased slightly with decreasing coal grain size, indicating that larger coal grains were beneficial to hydrate formation within a certain particle size range. The results of this research study are expected to provide an experimental reference for the development and application of technology for the solidification of gas hydrates to limit surges.

Multi-omics integration analysis unveils heterogeneity in breast cancer at the individual level.

Identifying robust breast cancer subtypes will help to reveal the cancer heterogeneity. However, previous breast cancer subtypes were based on population-level quantitative gene expression, which is affected by batch effects and cannot be applied to individuals. We detected differential gene expression, genomic, and epigenomic alterations to identify driver differential expression at the individual level. The individual driver differential expression reflected the breast cancer patients' heterogeneity and revealed four subtypes. Mesenchymal subtype as the most aggressive subtype harbored deletion and downregulated expression of genes in chromosome 11q23 region. Specifically, silencing of the SDHD gene in 11q23 promoted the invasion and migration of breast cancer cells in vitro by the epithelial-mesenchymal transition. The immunologically hot subtype displayed an immune-hot microenvironment, including high T-cell infiltration and upregulated PD-1 and CTLA4. Luminal and genomic-unstable subtypes showed opposite macrophage polarization, which may be regulated by the ligand-receptor pairs of CD99. The integration of multi-omics data at the individual level provides a powerful framework for elucidating the heterogeneity of breast cancer.

Synthetic viability induces resistance to immune checkpoint inhibitors in cancer cells.

BACKGROUND: Immune checkpoint inhibitors (ICI) have revolutionized the treatment for multiple cancers. However, most of patients encounter resistance. Synthetic viability (SV) between genes could induce resistance. In this study, we established SV signature to predict the efficacy of ICI treatment for melanoma. METHODS: We collected features and predicted SV gene pairs by random forest classifier. This work prioritized SV gene pairs based on CRISPR/Cas9 screens. SV gene pairs signature were constructed to predict the response to ICI for melanoma patients. RESULTS: This study predicted robust SV gene pairs based on 14 features. Filtered by CRISPR/Cas9 screens, we identified 1,861 SV gene pairs, which were also related with prognosis across multiple cancer types. Next, we constructed the six SV pairs signature to predict resistance to ICI for melanoma patients. This study applied the six SV pairs signature to divide melanoma patients into high-risk and low-risk. High-risk melanoma patients were associated with worse response after ICI treatment. Immune landscape analysis revealed that high-risk melanoma patients had lower natural killer cells and CD8+ T cells infiltration. CONCLUSIONS: In summary, the 14 features classifier accurately predicted robust SV gene pairs for cancer. The six SV pairs signature could predict resistance to ICI.

The Effect of GPX2 on the Prognosis of Lung Adenocarcinoma Diagnosis and Proliferation, Migration, and Epithelial Mesenchymal Transition.

Objective: To investigate the expression of glutathione peroxidase 2 (GPX2) in human lung adenocarcinoma tissues and its effect on the biological function of lung adenocarcinoma A549 cells. Methods: The expression of GPX2 in lung adenocarcinoma and its effect on survival were analyzed by the TCGA database and the GEPIA 2 database. A total of 45 cases of primary lung adenocarcinoma tissue specimens and 45 cases of their paracancerous tissue specimens were collected, and the expression of GPX2 in the two types of tissues was detected by immunohistochemistry. Lung adenocarcinoma A549 cells were divided into the GPX2 overexpression group (GPX2), the GPX2 knockdown group (si-GPX2), the empty vector group (Vector), the siRNA negative control group (si-NC), and the WT group; the mRNA level and protein expression of GPX2 in each group of A549 cells were detected by real-time fluorescence quantitative PCR and Western blotting; the proliferation activity of each group of cells was detected by the CCK-8 assay; the effect of GPX2 on cell migration and invasion ability was detected by the scratch assay and the Transwell invasion assay; the apoptosis of each group of cells was detected by flow cytometry; Western blotting was performed to detect the expression levels of Bax, Bcl-2, E-cadherin, vimentin, and MMP2 and MMP9 proteins in each group of cells. Results: Bioinformatics analysis showed that the expression of GPX2 was strongly correlated with the prognosis of lung adenocarcinoma patients (P < 0.01). The positive expression rates of GPX2 in lung adenocarcinoma and its paracancerous tissues were 66.0% and 15.7%, respectively (P < 0.05). The results of RT-qPCR and Western blotting showed that the expression level of GPX2 mRNA and protein in A549 cells in the GPX2 group increased, which was significantly higher than that in the WT group (P < 0.05); the expression levels of GPX2 mRNA and protein in A549 cells in the si-GPX2 group were the same, that is, significantly lower than the WT group (P < 0.05). GPX2 overexpression promoted the proliferation, migration, and invasion of A549 cells and inhibited their apoptosis; the results in the si-GPX2 group were opposite to those in the GPX2 group. Compared with the WT group, the expression of Bcl-2, vimentin, and MMP2 and MMP9 protein in the GPX2 group increased (P < 0.05), while the expression of Bax and E-cadherin protein decreased in the GPX2 group (P < 0.05); the results in the si-GPX2 group were opposite to those in the GPX2 group. Conclusion: The expression of GPX2 in lung adenocarcinoma is related to the prognosis of patients. It is proved that GPX2 can promote the migration and invasion of lung adenocarcinoma cells and is related to the EMT/ß-catenin pathway. Thus, GPX2 is expected to be an important target for the diagnosis and treatment of lung adenocarcinoma.

Detection and Genomic Characterization of a Morganella morganii Isolate From China That Produces NDM-5.

The increasing prevalence and transmission of the carbapenem resistance gene bla NDM-5 has led to a severe threat to public health. So far, bla NDM-5 has been widely detected in various species of Enterobacterales and different hosts across various cities. However, there is no report on the bla NDM-5- harboring Morganella morganii. In January 2016, the first NDM-5-producing Morganella morganii L241 was found in a stool sample of a patient diagnosed as recurrence of liver cancer in China. Identification of the species was performed using 16S rRNA gene sequencing. Carbapenemase genes were identified through both PCR and sequencing. To investigate the characteristics and complete genome sequence of the bla NDM-5-harboring clinical isolate, antimicrobial susceptibility testing, S1 nuclease pulsed field gel electrophoresis, Southern blotting, transconjugation experiment, complete genome sequencing, and comparative genomic analysis were performed. M. morganii L241 was found to be resistant to broad-spectrum cephalosporins and carbapenems. The complete genome of L241 is made up from both a 3,850,444 bp circular chromosome and a 46,161 bp self-transmissible IncX3 plasmid encoding bla NDM-5, which shared a conserved genetic context of bla NDM-5 (ΔIS3000-ΔISAba125-IS5-bla NDM-5-ble-trpF-dsbC-IS26). BLASTn analysis showed that IncX3 plasmids harboring bla NDM genes have been found in 15 species among Enterobacterales from 13 different countries around the world thus far. In addition, comparative genomic analysis showed that M. morganii L241 exhibits a close relationship to M. morganii subsp. morganii KT with 107 SNPs. Our research demonstrated that IncX3 is a key element in the worldwide dissemination of bla NDM-5 among various species. Further research will be necessary to control and prevent the spread of such plasmids.

Expression of IL-17A, E, and F and their receptors in human prostatic cancer: Comparison with benign prostatic hyperplasia.

BACKGROUND: Benign prostatic hyperplasia (BPH) and prostate cancer (PCa) are the most common urological diseases in elderly men. Although studies suggest the cytokine family might be associated with BPH and PCa, there has been no systematic comparisons of expression of IL-17A, E, F and their receptors, infiltration of inflammatory cells, and changes in structural cells in PCa and BPH. METHODS: Immunohistochemistry was employed to evaluate immunoreactivity for IL-17A, E, F and their receptors IL-17RA, IL-17BR, and IL-17CR, infiltration of inflammatory cells, and changes in structural cells including endothelial cells, fibroblasts, and smooth muscle cells in prostate tissues from subjects with PCa or BPH as well as controls. RESULTS: Immunostaining showed that expression of immunoreactivity for IL-17A, IL-17RA, IL-17E, and IL-17F was significantly elevated in prostatic tissue from BPH and PCa compared with that in controls, which was accompanied by increased numbers of infiltrating inflammatory cells and CD31(+) blood vessels. Compared with BPH, PCa was characterized by reduced immunoreactivity for IL-17BR and reduced numbers of CD68(+) macrophages, fibroblasts, and smooth muscle cells, although there was a trend for these changes to correlate with disease severity in both PCa and BPH. CONCLUSION: Our data are compatible with hypothesis that IL-17A acting through IL-17RA, but not IL-17CR contribute to the pathogenesis of BPH and PCa. In contrast, IL-17E interacting with the IL-17BR might have an anti-tumor effect.

Exploring membrane and cytoplasm proteomic responses of Alkalimonas amylolytica N10 to different external pHs with combination strategy of de novo peptide sequencing.

Identification of differentially proteomic responses to external pHs would pave an access for understanding of survival mechanisms of bacteria living at extreme pH environment. We cultured Alkalimonas amylolytica N10 (N10), a novel alkaliphilic bacterium found in Lake Chahannor, in media with three different pHs and extracted the correspondent membrane and cytoplasm proteins for proteomic analysis through 2-DE. The differential 2-DE spots corresponding to the altered pHs were delivered to MALDI TOF/TOF MS for protein identification. Since the genomic data of strain N10 was unavailable, we encountered a problem at low rate of protein identification with 18.1%. We employed, therefore, a combined strategy of de novo sequencing to analyze MS/MS signals generated from MALDI TOF/TOF MS. A significantly improved rate of protein identification was thus achieved at over than 70.0%. Furthermore, we extensively investigated the expression of these pH-dependent N10 genes using Western blot and real-time PCR. The conclusions drawn from immunoblot and mRNA measurements were mostly in agreement with the proteomic observations. We conducted the bioinformatic analysis to all the pH-dependent N10 proteins and found that some membrane proteins participated in iron transport were differentially expressed as external pH elevated and most of differential proteins with increased or bell-shape mode of pH-dependence were involved in bioenergetic process and metabolism of carbohydrates, fatty acid, amino acids, and nucleotides. Our data thus provide a functional profile of the pH-responsive proteins in alkaliphiles, leading to elucidation of alkaliphilic-adaptive mechanism.