Introducing Electron Buffers into Intermetallic Pt Alloys against Surface Polarization for High-Performing Fuel Cells.

Surface polarization under harsh electrochemical environments usually puts catalysts in a thermodynamically unstable state, which strictly hampers the thermodynamic stability of Pt-based catalysts in high-performance fuel cells. Here, we report a strategy by introducing electron buffers (variable-valence metals, M = Ti, V, Cr, and Nb) into intermetallic Pt alloy nanoparticle catalysts to suppress the surface polarization of Pt shells using the structurally ordered L10-M-PtFe as a proof of concept. Operando X-ray absorption spectra analysis suggests that with the potential increase, electron buffers, especially Cr, could facilitate an electron flow to form a electron-enriched Pt shell and thus weaken the surface polarization and tensile Pt strain. The best-performing L10-Cr-PtFe/C catalyst delivers superb oxygen reduction reaction (ORR) activity (mass activity = 1.41/1.02 A mgPt-1 at 0.9 V, rated power density = 14.0/9.2 W mgPt-1 in H2-air under a total Pt loading of 0.075/0.125 mgPt cm-2, respectively) and stability (20 mV voltage loss at 0.8 A cm-2 after 60,000 cycles of accelerated durability test) in a fuel cell cathode, representing one of the best reported ORR catalysts. Density functional theory calculations reveal that the optimized surface strain by introducing Cr on L10-PtFe/C accounts for the enhanced ORR activity, and the durability enhancement stems from the charge transfer contribution of Cr to the Pt shells and the increased kinetic energy barrier for Pt dissolution/Fe diffusion.

Review of the Perspectives and Study of Thermo-Responsive Polymer Gels and Applications in Oil-Based Drilling Fluids.

Thermoresponsive polymer gels are a type of intelligent material that can react to changes in temperature. These materials possess excellent innovative properties and find use in various fields. This paper systematically analyzes the methods for testing and regulating phase transition temperatures of thermo-responsive polymer gels based on their response mechanism. The report thoroughly introduces the latest research on thermo-responsive polymer gels in oil and gas extraction, discussing their advantages and challenges across various environments. Additionally, it elucidates how the application limitations of high-temperature and high-salt conditions can be resolved through process optimization and material innovation, ultimately broadening the scope of application of thermo-responsive polymer gels in oil and gas extraction. The article discusses the technological development and potential applications of thermo-responsive polymer gels in oil-based drilling fluids. This analysis aims to offer researchers in the oil and gas industry detailed insights into future possibilities for thermo-responsive polymer gels and to provide helpful guidance for their practical use in oil-based drilling fluids.

Identification of crucial modules and genes associated with backfat tissue development by WGCNA in Ningxiang pigs.

Fat deposition is an economically important trait in pigs. Ningxiang pig, one of the four famous indigenous breeds in China, is characterized by high fat content. The underlying gene expression pattern in different developmental periods of backfat tissue remains unclear, and the purpose of this investigation is to explore the potential molecular regulators of backfat tissue development in Ningxiang pigs. Backfat tissue (three samples for each stage) was initially collected from different developmental stages (60, 120, 180, 240, 300, and 360 days after birth), and histological analysis and RNA sequencing (RNA-seq) were then conducted. Fragments per kilobase of transcript per million (FPKM) method was used to qualify gene expressions, and differentially expressed genes (DEGs) were identified. Furthermore, strongly co-expressed genes in modules, which were named by color, were clustered by Weighted gene co-expression network analysis (WGCNA) based on dynamic tree cutting algorithm. Gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) enrichment were subsequently implemented, and hub genes were described in each module. Finally, QPCR analysis was employed to validate RNA-seq data. The results showed that adipocyte area increased and adipocyte number decreased with development of backfat tissue. A total of 1,024 DEGs were identified in five comparison groups (120 days vs. 60 days, 180 days vs. 120 days, 240 days vs. 180 days, 300 days vs. 240 days, and 360 days vs. 300 days). The turquoise, red, pink, paleturquoise, darkorange, and darkgreen module had the highest correlation coefficient with 60, 120, 180, 240, 300, and 360 days developmental stage, while the tan, black and turquoise module had strong relationship with backfat thickness, adipocyte area, and adipocyte number, respectively. Thirteen hub genes (ACSL1, ACOX1, FN1, DCN, CHST13, COL1A1, COL1A2, COL6A3, COL5A1, COL14A1, OAZ3, DNM1, and SELP) were recognized. ACSL1 and ACOX1 might perform function in the early developmental stage of backfat tissue (60 days), and FN1, DCN, COL1A1, COL1A2, COL5A1, COL6A3, and COL14A1 have unignorable position in backfat tissue around 120 days developmental stage. Besides, hub genes SELP and DNM1 in modules significantly associated with backfat thickness and adipocyte area might be involved in the process of backfat tissue development. These findings contribute to understand the integrated mechanism underlying backfat tissue development and promote the progress of genetic improvement in Ningxiang pigs.

Pan-cancer evidence of prognosis, immune infiltration, and immunotherapy efficacy for annexin family using multi-omics data.

The annexin superfamily (ANXA) is made up of 12 calcium (Ca2+) and phospholipid binding protein members that have a high structural homology and play a key function in cancer cells. However, little research has been done on the annexin family's function in pan-cancer. We examined the ANXA family's expression in various tumors through public databases using bioinformatics analysis, assessed the differences in ANXA expression between tumor and normal tissues in pan-cancer, and then investigated the relationship between ANXA expression and patient survival, prognosis, and clinicopathologic traits. Additionally, we investigated the relationships among TCGA cancers' mutations, tumor mutation burden (TMB), microsatellite instability (MSI), immunological subtypes, immune infiltration, tumor microenvironment, immune checkpoint genes, chemotherapeutics sensitivity, and ANXAs expression. cBioPortal was also used to uncover pan-cancer genomic anomalies in the ANXA family, study relationships between pan-cancer ANXA mRNA expression and copy number or somatic mutations, and assess the prognostic values of these variations. Moreover, we investigated the relationship between ANXAs expression and effectiveness of immunotherapy in multiple cohorts, including one melanoma (GSE78220), one renal cell carcinoma (GSE67501), and three bladder cancer cohorts (GSE111636, IMvigor210 and our own sequencing dataset (TRUCE-01)), and further analyzed the changes of ANXAs expression before and after treatment (tislelizumab combined with nab-paclitaxel) of bladder cancer. Then, we explored the biological function and potential signaling pathway of ANXAs using gene set enrichment analysis (GSEA), and first conducted immune infiltration analysis with ANXAs family genes expression, copy number, or somatic mutations of bladder cancer by TIMER 2.0. Most cancer types and surrounding normal tissues expressed ANXA differently. ANXA expression was linked to patient survival, prognosis, clinicopathologic features, mutations, TMB, MSI, immunological subtypes, tumor microenvironment, immune cell infiltration, and immune checkpoint gene expression in 33 TCGA cancers, with ANXA family members varied. The anticancer drug sensitivity analysis showed that ANXAs family members were significantly related to a variety of drug sensitivities. In addition, we also discovered that the expression level of ANXA1/2/3/4/5/7/9/10 was positively or negatively correlated with objective responses to anti-PD-1/PD-L1 across multiple immunotherapy cohorts. The immune infiltration analysis of bladder cancer further showed the significant relationships between ANXAs copy number variations or mutation status, and infiltration level of different immune cells. Overall, our analyses confirm the importance of ANXAs expression or genomic alterations in prognosis and immunological features of various cancer and identified ANXA-associated genes that may serve as potential therapeutic targets.

Circ_0000231 promotes paclitaxel resistance in ovarian cancer by regulating miR-140/RAP1B.

Circular RNAs (circRNAs) are identified as vital regulators in a variety of cancers. However, the involvement of circ_0000231 in paclitaxel (PTX) resistant ovarian cancer (OC) remains unclear. In this study, we examined the levels of circ_0000231, microRNA-140 (miR-140) and RAP1B in PTX-resistant OC tissues and cells and found that circ_0000231 and RAP1B levels were increased, while miR-140 level was decreased in these cells. Depletion of circ_0000231 could inhibit the resistance, proliferation, invasion, migration and EMT and promoted the apoptosis of PTX-resistant OC cells. The opposite effects were observed by overexpression of circ_0000231. Furthermore, the effect of circ_0000231 on the PTX sensitivity of OC cells was investigated by using xenograft tumor models, and circ_0000231 knockdown increased PTX sensitivity of OC in vivo. Mechanistically, we demonstrated that circ_0000231 acted as a sponge for miR-140, and RAP1B was the target gene of miR-140. Taken together, these data indicated that circ_0000231 was a key molecule required for the growth, migration, and PTX-resistance of OC cells and was involved in EMT. Knockdown of circ_000231 suppressed PTX-resistant OC progression via regulating miR-140/RAP1B signaling pathway. circ_0000231 might play vital roles in the tumorigenesis and chemoresistance of OC.

HP1α promotes the progression of prostate cancer.

PURPOSE: Patients who have been diagnosed with prostate cancer (PCa) typically have a dismal outlook and few therapeutic choices available to them, because the precise pathogenesis of the disease is not yet fully understood. The presence of HP1α, also known as the heterochromatin protein 1α, is required for the creation of higher-order chromatin structures. However, little is known about HP1α that serves roles in the pathogenesis of PCa. The primary purpose of our research was to investigate alterations in the levels of HP1α expression and to plan a series of tests to validate the function of HP1α in PCa. METHOD: Information on HP1α expression in PCa and benign prostatic hyperplasia (BPH) tissues were gathered using the Cancer Genome Atlas (TCGA) and Gene Expression Profiling Interactive Analysis (GEPIA) databases. RT-qPCR, western blotting, and immunohistochemistry (IHC) were used to assess HP1α mRNA and protein expression in several human PCa tissues and cell lines. The CCK8 assay, clone formation assay, and transwell assay were used to examine biological activities including cell proliferation, migration, and invasion. The expression of proteins connected to apoptosis and the epithelial-mesenchymal transition (EMT) was examined using Western blot. The tumorigenic effect of HP1α was also verified by in vivo experiments. RESULT: HP1α expression was much higher in PCa than in BPH tissues and cells, and was positively correlated with the Gleason score of PCa. In vitro experiments showed that HP1α knockdown could inhibit the ability of proliferation, invasion, and migration of PC3 and LNCaP cells, and promote cell apoptosis and EMT. In vivo experiments showed that HP1α knockdown inhibited tumorigenesis in mice. CONCLUSION: Our findings indicate that HP1α expression promotes PCa development and might be a novel therapeutic target for the diagnosis or treatment of PCa.

PLAC8 contributes to the malignant behaviors of cervical cancer cells by activating the SOX4-mediated AKT pathway.

Cervical cancer (CC) is the primary cancer-related cause of morbidity and mortality in women. Previous studies have shown that placenta-specific 8 (PLAC8) has different functions in multiple malignancies. This study aimed to explore the function and regulatory mechanism of PLAC8 in CC. Bioinformatics and immunohistochemical analyses demonstrated that PLAC8 was significantly upregulated in CC tissues compared with normal tissues. Gain/loss-of-function experiments showed that siRNA-mediated knockdown of PLAC8 suppressed cell migration and invasion, while PLAC8 overexpression promoted cell motility. Moreover, PLAC8 was revealed to affect the epithelial-mesenchymal transition (EMT) process by upregulating epithelial (E)-cadherin and decreasing the expression of mesenchymal markers of EMT, including vimentin, zinc finger E-box binding homeobox 1 (ZEB1), neural (N)-cadherin, matrix metalloproteinase-9 (MMP-9), and MMP-2 in PLAC8-silenced cells. PLAC8 activated the AKT pathway, as proven by the downregulation of p-AKTSer473 and p-AKTThr308 expression after PLAC8 knockdown. Furthermore, PLAC8 overexpression upregulated the expression of sex-determining region Y-related high-mobility group box transcription factor 4 (SOX4), which is reported to mediate the activation of the AKT pathway, and SOX4 deficiency reversed the cellular functions caused by PLAC8 overexpression. Overall, the present study indicates that PLAC8 may facilitate CC development by activating the SOX4-mediated AKT pathway, suggesting that PLAC8 may serve as a potential biomarker for CC treatment.

Gaussian bare-bone slime mould algorithm: performance optimization and case studies on truss structures.

The slime mould algorithm (SMA) is a new meta-heuristic algorithm recently proposed. The algorithm is inspired by the foraging behavior of polycephalus slime moulds. It simulates the behavior and morphological changes of slime moulds during foraging through adaptive weights. Although the original SMA's performance is better than most swarm intelligence algorithms, it still has shortcomings, such as quickly falling into local optimal values and insufficient exploitation. This paper proposes a Gaussian barebone mutation enhanced SMA (GBSMA) to alleviate the original SMA's shortcomings. First of all, the Gaussian function in the Gaussian barebone accelerates the convergence while also expanding the search space, which improves the algorithm exploration and exploitation capabilities. Secondly, the differential evolution (DE) update strategy in the Gaussian barebone, using rand as the guiding vector. It also enhances the algorithm's global search performance to a certain extent. Also, the greedy selection is introduced on this basis, which prevents individuals from performing invalid position updates. In the IEEE CEC2017 test function, the proposed GBSMA is compared with a variety of meta-heuristic algorithms to verify the performance of GBSMA. Besides, GBSMA is applied to solve truss structure optimization problems. Experimental results show that the convergence speed and solution accuracy of the proposed GBSMA are significantly better than the original SMA and other similar products. Supplementary Information: The online version contains supplementary material available at 10.1007/s10462-022-10370-7.

Protrusion-Rich Cu@NiRu Core@shell Nanotubes for Efficient Alkaline Hydrogen Evolution Electrocatalysis.

The development of highly efficient and durable water electrolysis catalysts plays an important role in the large-scale applications of hydrogen energy. In this work, protrusion-rich Cu@NiRu core@shell nanotubes are prepared by a facile wet chemistry method and used for catalyzing hydrogen evolution reaction (HER) in an alkaline environment. The protrusion-like RuNi alloy shells with accessible channels and abundant defects possess a large surface area and can optimize the surface electronic structure through the electron transfer from Ni to Ru. Moreover, the unique 1D hollow structure can effectively stabilize RuNi alloy shell through preventing the aggregation of nanoparticles. The synthesized catalyst can achieve a current density of 10 mA cm-2 in 1.0 m KOH with an overpotential of only 22 mV and show excellent stability after 5000 cycles, which is superior to most reported Ru-based catalysts. Density functional theory calculations illustrate that the weakened hydrogen adsorption on Ru sites induced by the alloying with Ni and active electron transfer between Ru and Ni/Cu are the keys to the much improved HER activity.

RGS1 and related genes as potential targets for immunotherapy in cervical cancer: computational biology and experimental validation.

BACKGROUND: Effective treatment is needed for advanced, inoperable, or chemotherapy-resistant cervical cancer patients. Immunotherapy has become a new treatment modality for cervical cancer patients, and there is an urgent need to identify additional targets for cervical cancer immunotherapy. METHODS: In this study the core gene, RGS1, which affects immune status and the FIGO stage of cervical cancer patients was identified by WGCNA analysis and differential analysis using TCGA database. 10 related genes interacting with RGS1 were identified using PPI network, and the functional and immune correlations were analyzed. Based on the expression of RGS1 and related genes, the consensus clustering method was used to divide CESC patients into two groups (group 1, high expression of RGS1; group 2, low expression of RGS1). Then, the functional enrichment analysis was used to search for the functional differences in differentially expressed genes (DEGs) between group 1 and group 2. Immune infiltration analysis was performed using ESTIMATE, CIBERSORT, and ssGSEA, and the differences in expression of immune checkpoint inhibitors (ICIs) targets were assessed between the two groups. We investigated the effect of RGS1 on the clinical relevance of CESC patients, and experimentally verified the differences in RGS1 expression between cervical cancer patient tissues and normal cervical tissues, the role of RGS1 in cell function, and the effect on tumor growth in tumor-bearing mice. RESULTS: We found that RGS1 was associated with CD4, GNAI3, RGS2, GNAO1, GNAI2, RGS20, GNAZ, GNAI1, HLA-DRA and HLA-DRB1, especially CD4 and RGS2. Functional enrichment of DEGs was associated with T cell activation. Compared with group 2, group 1 had stronger immune infiltration and higher ICI target expression. RGS1 had higher expression in cervical cancer tissues than normal tissues, especially in HPV-E6 positive cancer tissues. In cervical cancer cell lines, knockdown of RGS1 can inhibited cell proliferation, migration, invasion, and tumor growth in nude mice and promoted apoptosis. CONCLUSIONS: RGS1, as an oncogenic gene of cervical cancer, affects the immune microenvironment of patients with cervical cancer and may be a target of immunotherapy.

Chaotic simulated annealing multi-verse optimization enhanced kernel extreme learning machine for medical diagnosis.

Classification models such as Multi-Verse Optimization (MVO) play a vital role in disease diagnosis. To improve the efficiency and accuracy of MVO, in this paper, the defects of MVO are mitigated and the improved MVO is combined with kernel extreme learning machine (KELM) for effective disease diagnosis. Although MVO obtains some relatively good results on some problems of interest, it suffers from slow convergence speed and local optima entrapment for some many-sided basins, especially multi-modal problems with high dimensions. To solve these shortcomings, in this study, a new chaotic simulated annealing overhaul of MVO (CSAMVO) is proposed. Based on MVO, two approaches are adopted to offer a relatively stable and efficient convergence speed. Specifically, a chaotic intensification mechanism (CIP) is applied to the optimal universe evaluation stage to increase the depth of the universe search. After obtaining relatively satisfactory results, the simulated annealing algorithm (SA) is employed to reinforce the capability of MVO to avoid local optima. To evaluate its performance, the proposed CSAMVO approach was compared with a wide range of classical algorithms on thirty-nine benchmark functions. The results show that the improved MVO outperforms the other algorithms in terms of solution quality and convergence speed. Furthermore, based on CSAMVO, a hybrid KELM model termed CSAMVO-KELM is established for disease diagnosis. To evaluate its effectiveness, the new hybrid system was compared with a multitude of competitive classifiers on two disease diagnosis problems. The results demonstrate that the proposed CSAMVO-assisted classifier can find solutions with better learning potential and higher predictive performance.

Chemical Polishing of Perovskite Surface Enhances Photovoltaic Performances.

The benefits of excess PbI2 on perovskite crystal nucleation and growth are countered by the photoinstability of interfacial PbI2 in perovskite solar cells (PSCs). Here we report a simple chemical polishing strategy to rip PbI2 crystals off the perovskite surface to decouple these two opposing effects. The chemical polishing results in a favorable perovskite surface exhibiting enhanced luminescence, prolonged carrier lifetimes, suppressed ion migration, and better energy level alignment. These desired benefits translate into increased photovoltages and fill factors, leading to high-performance mesostructured formamidinium lead iodide-based PSCs with a champion efficiency of 24.50%. As the interfacial ion migration paths and photodegradation triggers, dominated by PbI2 crystals, were eliminated, the hysteresis of the PSCs was suppressed and the device stability under illumination or humidity stress was significantly improved. Moreover, this new surface polishing strategy can be universally applicable to other typical perovskite compositions.

Nocardia rubra cell-wall skeleton influences the development of cervical carcinoma by promoting the antitumor effect of macrophages and dendritic cells.

BACKGROUND: As an immune enhancer, Nocardia rubra cell-wall skeleton (Nr-CWS) has been used to treat persistent human papillomavirus infection and cervical precancerous lesions. However, it is still unclear whether it can be used to treat cervical carcinoma. METHODS: In our study, the aim was to determine whether Nr-CWS affects the apoptosis of cervical carcinoma cells by enhancing the antitumor effect of dendritic cells and macrophages in vivo and in vitro. RESULTS: The experimental results showed that Nr-CWS can promote the activity of dendritic cells and macrophages and reduce their apoptosis. It also increased the cytokines IL-6, IL-12, TNF-ɑ, and IL-1ß secreted by dendritic cells and macrophages and reduced their PD-L1 expression. In vitro, Nr-CWS inhibited the proliferation, colony forming ability of HeLa and SiHa cervical carcinoma cell lines cultured with macrophages, and more cells were blocked in G2/M phase. Nr-CWS promoted TNF-ɑ/TNFR1/caspase-8-mediated apoptosis by increasing macrophages secretion of TNF-ɑ and inhibited cell migration and invasion regulated by the WNT/ß-catenin-EMT pathway. Nr-CWS also reduced the expression of the cervical carcinoma genes E6 and E7 thereby increasing expression of p53 gene and decreasing expression of PD-L1 gene. In vivo, Nr-CWS inhibited tumor growth and decreased the expression of E6, E7, PD-L1, P16, Ki67, and PCNA in tumors. CONCLUSIONS: Therefore, our results suggest that Nr-CWS can promote apoptosis of cervical carcinoma cells by enhancing the antitumor effect of dendritic cells and macrophages.

CircGNG4 Promotes the Progression of Prostate Cancer by Sponging miR-223 to Enhance EYA3/c-myc Expression.

Patients diagnosed with prostate cancer often have a poor prognosis and limited treatment options, as the specific pathogenesis remains to be elucidated. Circular RNA (circRNA) is a type of non-coding RNA that interacts with microRNA (miRNA/miR) and transcription factors to regulate gene expression. However, little is known about specific circRNAs that serve roles in the pathogenesis of prostate cancer. Findings of the present study confirmed that circRNA G protein subunit γ 4 (circGNG4) was upregulated in prostate cancer tissues and cell lines. Knockdown of circGNG4 inhibited the malignant behavior of prostate cancer cells. Furthermore, bioinformatics were used to predict targeting interactions between circGNG4 or miR-223 and EYA transcriptional coactivator and phosphatase 3 (EYA3)/c-Myc mRNA. miR-223 inhibited the malignant behavior of prostate cancer cells, while EYA3/c-Myc had the opposite effect. circGNG4 enhanced the expression of EYA3/c-Myc by sponging miR-223 to promote the growth of prostate cancer tumors in vivo. In conclusion, the circGNG4/miR-223/EYA3/c-Myc regulatory pathway promoted the malignant progression of prostate cancer. The results of the present study may provide potential new targets for the diagnosis or treatment of prostate cancer.

Modelling Farmers' Watershed Ecological Protection Behaviour with the Value-Belief-Norm Theory: A Case Study of the Wei River Basin.

Encouraging farmers to protect their environment is of great significance in improving watershed ecological environments and promoting the sustainable development of the watershed economy. To explore the factors influencing farmers' ecological protection behaviours in the river basin, we constructed a structural equation model to analyse the survey questionnaire responses of 719 farmers in the Wei River Basin, Shaanxi Province, China. The theoretical framework incorporated farmers' watershed belonging and social capital into an extended value-belief-norm model. Robustness tests revealed that incorporating these variables was valid. Personality norms, watershed belonging, and social capital all had direct positive effects on farmers' watershed ecological protection behaviour. Value orientation, environmental concern, consequences awareness, and responsibility attribution influenced the next variable in a causal chain and finally acted on watershed ecological protection behaviour indirectly through personality norms. Farmers' watershed belonging and social capital positively impacted individual norm; through this, there was an indirect positive impact on their watershed ecological protection behaviour. Moreover, watershed belonging and social capital reinforced each other.

MicroRNA-219a-2-3p modulates the proliferation of thyroid cancer cells via the HPSE/cyclin D1 pathway.

Heparanase (HPSE) is an endo-ß-D-glucuronidase overexpressed in different types of human cancer, and a predicted target of microRNA (miRNA/miR)-219a-2-3p in thyroid cancer. The present study aimed to investigate the potential role of HPSE and miR-219a-2-3p in thyroid cancer, and the molecular mechanism of miR-219a-2-3p regulating the proliferation of thyroid cancer cells via HPSE was confirmed. Immunohistochemistry analysis was performed to detect HPSE expression in thyroid cancer sections. In addition, reverse transcription-quantitative PCR analysis was performed to detect mRNA and miR-219a-2-3p expression levels in thyroid cancer samples and cell lines. miR-219-2-3p mimic or HPSE plasmid were transfected into B-CPAP and TPC-1 thyroid cancer cells. Furthermore, western blot analysis was performed to detect the protein expression levels of HPSE and cyclin D1. Cell cycle analysis was performed using propidium iodide staining and flow cytometry, and EdU incorporation was performed to detect cell proliferation. The results demonstrated that high HPSE expression was significantly associated with tumor size, extracapsular invasion and lymph node metastasis. Notably, a statistically negative correlation was observed between HPSE mRNA expression and miR-219a-2-3p expression in thyroid cancer tumors, as well as in thyroid cancer cell lines. When exogenously expressed in B-CPAP and TPC-1 cells, miR-219a-2-3p induced cell cycle arrest at the G0/G1 phase and decreased the percentage of proliferating cells. Furthermore, HPSE and cyclin D1 protein expression decreased following transfection with miR-219a-2-3p. Notably, when HPSE was ectopically expressed in miR-219a-2-3p transfected cells, cyclin D1 expression and the number of proliferative cells increased. Taken together, these results suggest that HPSE contributes to the proliferation of thyroid cancer cells. In addition, miR-219a-2-3p was confirmed to target HPSE and inhibit cell proliferation, which was associated with cyclin D1 suppression-mediated cell cycle arrest.

PRPF6 promotes metastasis and paclitaxel resistance of ovarian cancer via SNHG16/CEBPB/GATA3 axis.

Metastasis and paclitaxel (PTX) resistance are the main reason for the poor prognosis of ovarian cancer (OC). Evidence showed that RNA-binding proteins (RBPs) and long noncoding RNAs (lncRNAs) can modulate post-transcriptional regulation. The aim of this study was to determine the relationship among RBP, lncRNA and OC and to further guide clinical therapy. Immunohistochemistry revealed that pre-mRNA processing factor 6 (PRPF6) was upregulated in OC chemoresistant tissues and was closely related to advanced (Federation of International of Gynecologists and Obstetricians) FIGO stages and chemo-resistance. PRPF6 promoted progression, and PTX resistance in vitro and in vivo. And the transcripts of small nucleolar RNA host gene SNHG16-L/S were differentially expressed in OC cells and tissues as detected through real-time PCR (RT-PCR). SNHG16-L/S had opposite effects on progression and PTX resistance in OC. Mechanistically, SNHG16-L inhibited GATA-binding protein 3 (GATA3) transcription by binding to CCAAT/enhancer-binding protein B (CEBPB). Moreover, PRPF6 induced the alternative splicing of SNHG16, causing downregulation of SNHG16-L and, leading to the upregulation of GATA3 expression to further promote metastasis and PTX-resistance in OC. Totally, these data unveiled that PRPF6 promotes metastasis and PTX resistance of OC through SNHG16-L/CEBPB/GATA3 axis, which provides a new direction for OC treatment.

Functional analysis of PGI1 and ZWF1 in thermotolerant yeast Kluyveromyces marxianus.

Glycolysis and the pentose phosphate pathway (PPP) are two basic metabolic pathways that are simultaneously present in yeasts. As the main pathway in most species, the glycolysis provides ATP and NADH for cell metabolism while PPP, as a complementary pathway, supplies NADPH. In this study, the performance of Kluyveromyces marxianus using glycolysis or PPP were studied through the disruption of PGI1 or ZWF1 gene, respectively. K. marxianus using glycolysis as the only pathway showed higher ethanol production ability than that of the Kluyveromyces lactis zwf1Δ mutant; K. marxianus using only PPP showed more robustness than that of Saccharomyces cerevisiae pgi1Δ mutant. Additionally, K. marxianus pgi1Δ strain accumulated much more intracellular NADPH than the wild type strain and co-utilized glucose and xylose more effectively. These findings suggest that phosphoglucose isomerase participates in the regulation of the repression of glucose on xylose utilization in K. marxianus. The NADPH/NADP+ ratio, dependent on the activity of the PPP, regulated the expression of multiple genes related to NADPH metabolism in K. marxianus (including NDE1, NDE2, GLR1, and GDP1). Since K. marxianus is considered a promising host in industrial biotechnology to produce renewable chemicals from plant biomass feedstocks, our research showed the potential of the thermotolerant K. marxianus to produce NADP(H)-dependent chemical synthesis from multiple feedstocks. KEY POINTS: • The function of PGI1 and ZWF1 in K. marxianus has been analyzed in this study. • K. marxianus zwf1Δ strain produced ethanol but with decreased productivity. • K. marxianus pgi1Δ strain grew with glucose and accumulated NADPH. • K. marxianus pgi1Δ strain released glucose repression on xylose utilization.

The Role of Long Period Stacking Ordered Phase in Dynamic Recrystallization of a Mg-Gd-Y-Zn-Zr Alloy during Multi-Directional Forging Process.

The Mg-Gd-Y-Zn-Zr alloy containing a long period stacking ordered (LPSO) phase was subjected to multi-pass deformation by means of a multi-directional forging process, and the microstructure evolution and the influence of the LPSO phase on its dynamic recrystallization (DRX) were studied. The results showed that multi-directional forging can effectively refine the grain with the DRX fraction increased, and DRXed grains lead to the decrease of the texture intensity, which can significantly improve the mechanical properties of the alloy. The different morphologies of the LPSO phase have different degrees of promotion relative to DRX behavior. The lamellar LPSO phase with kinks promoted dislocation plugging, where there could be a potential nucleation site for DRX grains. The fragmented lamellar LPSO phase promoted the DRX process through the particle-stimulated nucleation mechanism, and the block-shaped phase was more prone to stress concentration, which promoted DRX. These effects resulted in continuous grain refinement and a more uniform microstructure.