RESUMEN
Most ferroelectric oxides exhibit relatively wide bandgaps, which pose limitations on their suitability for photovoltaics application. CuNbO3 possesses potential ferroelectric properties with an R3c polar structure that facilitate the separation of charge carriers under illumination, promoting the generation of photovoltaic effects. The optical and ferroelectric properties of R3c-CuNbO3, as well as the effect of strain on the properties are investigated by first-principles calculation in this paper. The calculated results indicate that R3c-CuNbO3 possesses a moderate band gap to absorb visible light. The interaction of Cu-O and Nb-O bonds is considered to have a crucial role in the photovoltaic properties of CuNbO3, contributing to the efficient absorption of visible light. The bandgap of CuNbO3 becomes smaller and the density of states near the conduction and valence bands becomes relatively uniform in distribution under compressive conditions, which improves the photoelectric conversion efficiency to 29.9% under conditions of bulk absorption saturation. The ferroelectric properties of CuNbO3 are driven by the Nb-O bond interactions, which are not significantly weakened by the compressive strain. CuNbO3 is expected to be an excellent ferroelectric photovoltaic material by modulation of compressive strain due to the stronger visible light absorption and excellent ferroelectric behavior.
RESUMEN
Background: Neutrophil extracellular traps (NETs) are web-like structures formed by neutrophils, and their main function is antimicrobial defense. Moreover, NETs have numerous roles in the pathogenesis and progression of cancers. However, the potential roles of NET-related genes in renal cell carcinoma remain unclear. In this study, we comprehensively investigated the NETs patterns and their relationships with tumor environment (TME), clinicopathological features, prognosis, and prediction of therapeutic benefits in the clear cell renal cell carcinoma (ccRCC) cohort. Methods: We obtained the gene expression profiles, clinical characteristics, and somatic mutations of patients with ccRCC from The Cancer Genome Atlas database (TCGA), Gene Expression Omnibus (GEO), and ArrayExpress datasets, respectively. ConsensusCluster was performed to identify the NET clusters. The tumor environment scores were evaluated by the "ESTIMATE," "CIBERSORT," and ssGSEA methods. The differential analysis was performed by the "limma" R package. The NET-scores were constructed based on the differentially expressed genes (DEGs) among the three cluster patterns using the ssGSEA method. The roles of NET scores in the prediction of immunotherapy were investigated by Immunophenoscores (TCIA database) and validated in two independent cohorts (GSE135222 and IMvigor210). The prediction of targeted drug benefits was implemented using the "pRRophetic" and Gene Set Cancer Analysis (GSCA) datasets. Real-time quantitative reverse transcription polymerase chain reaction (RT-PCR) was performed to identify the reliability of the core genes' expression in kidney cancer cells. Results: Three NET-related clusters were identified in the ccRCC cohort. The patients in Cluster A had more metabolism-associated pathways and better overall survival outcomes, whereas the patients in Cluster C had more immune-related pathways, a higher immune score, and a poorer prognosis than those in Cluster B. Based on the DEGs among different subtypes, patients with ccRCC were divided into two gene clusters. These gene clusters demonstrated significantly different immune statuses and clinical features. The NET scores were calculated based on the ten core genes by the Gene Set Variation Analysis (GSVA) package and then divided ccRCC patients into two risk groups. We observed that high NET scores were associated with favorable survival outcomes, which were validated in the E-MTAB-1980 dataset. Moreover, the NET scores were significantly associated with immune cell infiltration, targeted drug response, and immunotherapy benefits. Subsequently, we explored the expression profiles, methylation, mutation, and survival prediction of the 10 core genes in TCGA-KIRC. Though all of them were associated with survival information, only four out of the 10 core genes were differentially expressed genes in tumor samples compared to normal tissues. Finally, RT-PCR showed that MAP7, SLC16A12, and SLC27A2 decreased, while SLC3A1 increased, in cancer cells. Conclusion: NETs play significant roles in the tumor immune microenvironment of ccRCC. Identifying NET clusters and scores could enhance our understanding of the heterogeneity of ccRCC, thus providing novel insights for precise individual treatment.
RESUMEN
This study was purposed to evaluate whether the safe concentration of magnetic nanoparticles of Fe3O4(MNPs-Fe3O4) for monocytes could induce the SKM-1 cell apoptosis. The average size and Zeta potential of MNPs-Fe3O4were determined by transmission electron microscopy and the Malvern Zetasizer 3000 HS, respectively. The cell viability after being exposed to MNPs-Fe3O4for 12, 24, 48, and 72 hours was detected by using cell count Kit-8. The cell apoptosis was evaluated by flow cytometry with Annexin V/PI double staining and Wright-Giemsa staining. The cell cycle was measured by flow cytometry. The levels of active caspase-3, survivin and bcl-rambo in cells treated with MNPs-Fe3O4and/or trolox for 48 hours were detected with Western blot. The results showed that the cell viability decreased in SKM-1 cells after exposure to 50 µmol/L and 100 µmol/L MNPs-Fe3O4(P < 0.05), but did not in monocytes (P > 0.05), compared with that of each non-MNPs-Fe3O4-treated group. This exposure also induced the SKM-1 cells to be arrested in G0/G1. Annexin V/PI staining assay showed that cell apoptotic rate induced by 100 µmol/L MNPs-Fe3O4was significantly high in SKM-1 cells while not so high in monocytes, and the pretreatment with trolox could attenuate the apoptosis. Moreover, the active caspase-3 increased in SKM-1 cells after the exposure to MNPs-Fe3O4, while that was not in monocytes, and the increased expression of BCL-rambo and the decreased expression of survivin involved in the process were also observed. It is concluded that MNPs-Fe3O4can induce the caspase 3-dependent SKM-1 cell apoptosis by increasing the BCL-rambo expression and decreasing the survivin expression, but this cytotoxic effect can not be observed in monocyte's.