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BACKGROUND: Early detection and treatment of colorectal cancer (CRC) is crucial for improving patient survival rates. This study aims to identify signature molecules associated with CRC, which can serve as valuable indicators for clinical hematological screening. METHOD: We have systematically searched the Human Protein Atlas database and the relevant literature for blood protein-coding genes. The CRC dataset from TCGA was used to compare the acquired genes and identify differentially expressed molecules (DEMs). Weighted Gene Co-expression Network Analysis (WGCNA) was employed to identify modules of co-expressed molecules and key molecules within the DEMs. Signature molecules of CRC were then identified from the key molecules using machine learning. These findings were further validated in clinical samples. Finally, Logistic regression was used to create a predictive model that calculated the likelihood of CRC in both healthy individuals and CRC patients. We evaluated the model's sensitivity and specificity using the ROC curve. RESULT: By utilizing the CRC dataset, WGCNA analysis, and machine learning, we successfully identified seven signature molecules associated with CRC from 1478 blood protein-coding genes. These markers include S100A11, INHBA, QSOX2, MET, TGFBI, VEGFA and CD44. Analyzing the CRC dataset showed its potential to effectively discriminate between CRC and normal individuals. The up-regulated expression of these markers suggests the existence of an immune evasion mechanism in CRC patients and is strongly correlated with poor prognosis. CONCLUSION: The combined detection of the seven signature molecules in CRC can significantly enhance diagnostic efficiency and serve as a novel index for hematological screening of CRC.
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This study focuses on understanding the behavior and activity patterns of the critically endangered Protobothrops mangshanensis in China in order to better provide scientific data for upcoming artificial breeding and propagation efforts. We conducted a long-term observation of 15 Mangshan pit vipers at different sites in Hunan Province during the summer and autumn of 2021. Our methods involved analyzing the influence of environmental factors such as temperature, relative humidity, and light condition on the snakes' day and night activity and behaviors. The results revealed that the wild behaviors of Protobothrops mangshanensis include resting, sunbathing, crawling, and exploring, with distinct rhythms in their diel behavior. The snakes' diel activity exhibits three peak periods which may be related to food activity and sunbathing. This study also highlights the complex interplay of environmental factors on the activity of Protobothrops mangshanensis. Relative humidity was identified as a critical factor accounting for the difference in activity between observation groups. There was little inter-individual variation among the 15 Protobothrops mangshanensis, even though these snakes used terrestrial and arboreal habitats under different environmental conditions. These findings enhance our understanding of Protobothrops mangshanensis behavior and provide a basis for effective conservation measures for this rare and critically endangered species.
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Purpose: Meiotic nuclear division 1 (MND1) is a meiosis-specific protein that promotes lung adenocarcinoma progression. However, its expression and biological function across cancers remain largely unexplored. Patients and Methods: The expression, prognostic significance, mutation status, and methylation profile of MND1 in various cancers were comprehensively analyzed using the TIMER, GTEX, Kaplan-Meier plotter, cBioPortal, and GSCA databases. Additionally, we constructed a PPI network, enrichment analysis and single-cell transcriptomic sequencing to elucidate the underlying mechanism of MND1. Furthermore, we investigated the association between MND1 expression and drug sensitivity using CellMiner. Moreover, we also explored the correlation between MND1 expression and immune infiltration. Finally, we validated the functional role of MND1 in breast cancer through IHC staining, CCK8, EdU, colony formation, and flow cytometry assays. Results: MND1 has been reported to be highly expressed in Pan-cancer, High MND1 expression was significantly associated with poor prognosis in cancers. Additionally, MND1 mutation frequency is high in most cancers, and its expression correlates with methylation. Furthermore, MND1 expression significantly correlates with immune checkpoint blockade (ICB) markers, including PD-L1, PD-1, and CTLA-4. The PPI network reveals interactions between MND1 and PSMC3IP, BRCA1, and BRCA2. Enrichment analysis and single-cell sequencing indicate that MND1 positively correlates with cell cycle. ROC curve reveals favorable diagnostic efficacy of MND1 in breast cancer. In vitro, MND1 overexpression promotes breast cancer cell proliferation and increases the expression of key cell cycle regulators (CDK4, CDK6, and cyclin D3), accelerating the G1/S phase transition and leading to abnormal breast cancer cell proliferation. The immunohistochemical analysis revealed a robust expression of MND1 in breast cancer tissues, exhibiting a significant positive correlation with PD-L1 and FOXP3. Conclusion: MND1 is an oncogene and may serve as a biomarker for cancer prognosis and immunotherapy. Targeting MND1 may be a potential tumor treatment strategy.
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Currently, exosomes showed appropriate potential in the repair of skin injury. However, the functions of the exosomes could be compromised rapidly due to their short half-life and high clearance rate in vivo. In addition, the controlled release of effective concentrations of exosomes could increase the utilization efficiency of exosomes in wound healing. Accordingly, the design of an effective system for the controlled delivery of exosomes during the wound treatment period was necessary. In this contribution, we designed a novel exosome-based multifunctional nanocomposite platform with photothermal-controlled release performance for the repair of skin injury. Based on the agarose hydrogel, two-dimensional Ti3C2 (Ti3C2 MXene) and human umbilical cord mesenchymal stem cell (hucMSC)-derived exosomes, the as-prepared platform (i.e., hucMSC-derived exosome/Ti3C2 MXene hydrogel) was synthesized for the first time. Apart from possessing injectability, the hucMSC-derived exosome/Ti3C2 MXene hydrogel utilized the excellent photothermal effect of Ti3C2 MXene and proper phase transition performance of agarose hydrogel to provide a photothermal-controlled release system for the hucMSC-derived exosomes, which was beneficial for the personalized on-demand drug delivery. Importantly, the hucMSC-derived exosomes maintained their inherent structure and activity after being released from the Ti3C2 MXene hydrogel. Additionally, the as-prepared hydrogel with multifunctional performance also presented remarkable biocompatibility and photothermal-antibacterial property, and could efficiently accelerate wound healing by promoting cell proliferation, angiogenesis, collagen deposition, and reducing the level of inflammation at the wound site. The results suggested that the exosome-based multifunctional nanocomposite platform with great potential for wound healing would make significant advances in the revolution of traditional treatment methods in skin injury.
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Preparaciones de Acción Retardada , Exosomas , Hidrogeles , Células Madre Mesenquimatosas , Nanocompuestos , Piel , Cicatrización de Heridas , Humanos , Cicatrización de Heridas/efectos de los fármacos , Animales , Nanocompuestos/administración & dosificación , Nanocompuestos/química , Hidrogeles/administración & dosificación , Hidrogeles/química , Piel/lesiones , Piel/metabolismo , Titanio/química , Ratones , Masculino , Antibacterianos/administración & dosificación , Sistemas de Liberación de MedicamentosRESUMEN
Synthesizing single-walled carbon nanotubes (SWCNTs) with a narrow chirality distribution is essential for obtaining pure chirality materials through postgrowth sorting techniques. Using carbon monoxide chemical vapor deposition, we devise a ruthenium (Ru) catalyst supported by silica for the bulk production of SWCNTs containing only a few (n, m) species. The result is attributed to the limited carbon dissociation on the supported Ru clusters, favoring the growth of only small-diameter SWCNTs at comparable growth rates. The resulting materials expedite high-purity single chirality separation using gel chromatography, leading to unprecedented yields of 3.5% for (9, 1) and 5.2% for (9, 2) nanotubes, which surpass those separated from HiPco SWCNTs by two orders of magnitude. This work sheds light on the large-quantity synthesis of SWCNTs with enriched species beyond near-armchair ones for their high-yield separation.
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Controlling the formation of clathrate hydrates is crucial for advancing hydrate-based technologies. However, the microscopic mechanism underlying clathrate hydrate formation through nucleation remains poorly elucidated. Specifically, the critical nucleus, theorized as a pivotal step in nucleation, lacks empirical validation. Here, we report uniform nanoparticles, e.g., graphene oxide (GO) nanosheets and gold or silver nanocubes with controlled sizes, as nanoprobes to experimentally measure the size of the critical nucleus of tetrahydrofuran (THF) clathrate hydrate formation. The capability of the nanoparticles in facilitating THF clathrate hydrate nucleation displays generally an abrupt change at a nanoparticle-size-determined specific supercooling. It is revealed that the free-energy barrier shows an abrupt change when the nanoparticles have an approximately the same size as that of the critical nucleus. Thus, it is inferred that THF clathrate hydrate nucleation involves the creation of a critical nucleus with its size being inversely proportional to the supercooling. By proving the existence and determining the supercooling-dependent size of the critical nucleus of the THF clathrate hydrates, this work brings insights in the microscopic pictures of the clathrate hydrate nucleation.
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Kinetochore-localized astrin/SPAG5-binding protein (KNSTRN) promotes the progression of bladder cancer and lung adenocarcinoma. However, its expression and biological function in breast cancer remain largely unknown. Therefore, this study aimed to analyze KNSTRN expression, prognoses, correlation with immune infiltration, expression-associated genes, and regulated signaling pathways to characterize its role in regulating the cell cycle using both bioinformatics and in vitro functional experiments. Analyses of The Cancer Genome Atlas, Gene Expression Omnibus, TIMER, and The Human Protein Atlas databases revealed a significant upregulation of KNSTRN transcript and protein levels in breast cancer. Kaplan-Meier survival analyses demonstrated a significant association between high expression of KNSTRN and poor overall survival, relapse-free survival, post-progression survival, and distant metastases-free survival in patients with breast cancer. Furthermore, multivariate Cox regression analyses confirmed that KNSTRN is an independent prognostic factor for breast cancer. Immune infiltration analysis indicated a positive correlation between KNSTRN expression and T regulatory cell infiltration while showing a negative correlation with Tgd and natural killer cell infiltration. Gene set enrichment analysis along with single-cell transcriptome data analysis suggested that KNSTRN promoted cell cycle progression by regulating the expression of key cell cycle proteins. The overexpression and silencing of KNSTRN in vitro, respectively, promoted and inhibited the proliferation of breast cancer cells. The overexpression of KNSTRN enhanced the expression of key cell cycle regulators, including CDK4, CDK6, and cyclin D3, thereby accelerating the G1/S phase transition and leading to aberrant proliferation of breast cancer cells. In conclusion, our study demonstrates that KNSTRN functions as an oncogene in breast cancer by regulating immune response, promoting G1/S transition, and facilitating breast cancer cell proliferation. Moreover, KNSTRN has potential as a molecular biomarker for diagnostic and prognostic prediction in breast cancer.
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BACKGROUND: Multiple myeloma (MM) is a malignant plasma cell disease. At present, numerous studies have shown that lncRNA plays a very important role in the occurrence, development and even drug resistance of multiple myeloma. It may become a potential diagnostic and prognostic marker of multiple myeloma and provide new ideas for targeted therapy. Based on the above research background, this study used gene chip technology to screen out the differentially expressed lncRNA in the serum of MM patients and healthy people, and verified more clinical serum samples to screen out the lncRNA with the largest difference as a biomarker for further research. METHOD: In this research, the data of hospitalized patients diagnosed with MM and healthy people in the Affiliated Hospital of Guangdong Medical University were retrospectively collected. The lncRNA expression profile of serum samples from patients with multiple myeloma and healthy controls was analyzed by lncRNA chip technology. The serum samples were verified by real-time fluorescence quantitative PCR, and the candidate diagnostic markers were screened out. The ROC working curve was drawn to evaluate the diagnostic efficacy of the candidate markers and to determine their stability at different temperatures and time. RESULT: A total of 44 MM patients and 37 healthy people were involved in this research. Among them, 4 patients with MM and 4 patients with HD were sent for microarray analysis. According to Fold Change ≥ 2 and P < 0.05, a total of 17 differentially expressed lncRNA molecules were screened, of which 9 were up-regulated RNA molecules and 8 were down-regulated RNA molecules. Through real-time fluorescence quantitative PCR verification, it was found that lncRNA CATG00000112921.1 was highly expressed in the healthy control group and diminished in patients with multiple myeloma, P < 0.001. The ROC curve demonstrated that the area under the curve (AUC) was 0.749, the sensitivity was 0.636, the specificity was 0.789, and the 95 % CI was 0.636-0.862 (P < 0.001). In addition, in order to verify the effects of temperature, time and repeated freezing and thawing on lncRNA, it was placed at 25°C, 4°C, -20°C, -80°C for 0 h, 24 h, 48 h, 72 h, and placed at-80°C repeated freezing and thawing 0 times, 2 times, 4 times, 8 times, and the expression level was not significantly changed. CONCLUSION: Serum lncRNA CATG00000112921.1 may be a potential candidate diagnostic marker for multiple myeloma. The ROC curve shows that it has good diagnostic value, and its high stability at different temperatures and different times is a required condition for becoming a diagnostic marker. As far as we know, this is the first study in the world to find differential expression of lncRNA CATG00000112921.1 in peripheral serum of healthy people and newly diagnosed multiple myeloma patients. This study also highlights the application of gene chip technology in screening differentially expressed genes.
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Mieloma Múltiple , ARN Largo no Codificante , Humanos , Biomarcadores de Tumor , Mieloma Múltiple/diagnóstico , Mieloma Múltiple/genética , Estudios Retrospectivos , Curva ROCRESUMEN
Therapeutic resistance is a major obstacle to successful treatment or effective containment of cancer. Peroxisome proliferator-activated receptors (PPARs) play an essential role in regulating energy homeostasis and determining cell fate. Despite of the pleiotropic roles of PPARs in cancer, numerous studies have suggested their intricate relationship with therapeutic resistance in cancer. In this review, we provided an overview of the roles of excessively activated PPARs in promoting resistance to modern anti-cancer treatments, including chemotherapy, radiotherapy, targeted therapy, and immunotherapy. The mechanisms through which activated PPARs contribute to therapeutic resistance in most cases include metabolic reprogramming, anti-oxidant defense, anti-apoptosis signaling, proliferation-promoting pathways, and induction of an immunosuppressive tumor microenvironment. In addition, we discussed the mechanisms through which activated PPARs lead to multidrug resistance in cancer, including drug efflux, epithelial-to-mesenchymal transition, and acquisition and maintenance of the cancer stem cell phenotype. Preliminary studies investigating the effect of combination therapies with PPAR antagonists have suggested the potential of these antagonists in reversing resistance and facilitating sustained cancer management. These findings will provide a valuable reference for further research on and clinical translation of PPAR-targeting treatment strategies.
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Neoplasias , Receptores Activados del Proliferador del Peroxisoma , Humanos , Receptores Activados del Proliferador del Peroxisoma/genética , Receptores Activados del Proliferador del Peroxisoma/metabolismo , Resistencia a Antineoplásicos , Neoplasias/tratamiento farmacológico , Transducción de Señal , Desarrollo de Medicamentos , Microambiente TumoralRESUMEN
Potassium Calcium-Activated Channel Subfamily N1 (KCNN1), an integral membrane protein, is thought to regulate neuronal excitability by contributing to the slow component of synaptic after hyperpolarization. However, the role of KCNN1 in tumorigenesis has been rarely reported, and the underlying molecular mechanism remains unclear. Here, we report that KCNN1 functions as an oncogene in promoting breast cancer cell proliferation and metastasis. KCNN1 was overexpressed in breast cancer tissues and cells. The pro-proliferative and pro-metastatic effects of KCNN1 were demonstrated by CCK8, clone formation, Edu assay, wound healing assay and transwell experiments. Transcriptomic analysis using KCNN1 overexpressing cells revealed that KCNN1 could regulate key signaling pathways affecting the survival of breast cancer cells. KCNN1 interacts with ERLIN2 and enhances the effect of ERLIN2 on Cyclin B1 stability. Overexpression of KCNN1 promoted the protein expression of Cyclin B1, enhanced its stability and promoted its K63 dependent ubiquitination, while knockdown of KCNN1 had the opposite effects on Cyclin B1. Knockdown (or overexpression) ERLNI2 partially restored Cyclin B1 stability and K63 dependent ubiquitination induced by overexpression (or knockdown) of KCNN1. Knockdown (or overexpression) ERLIN2 also partially neutralizes the effects of overexpression (or knockdown) KCNN1-induced breast cancer cell proliferation, migration and invasion. In paired breast cancer clinical samples, we found a positive expression correlations between KCNN1 and ERLIN2, KCNN1 and Cyclin B1, as well as ERLIN2 and Cyclin B1. In conclusion, this study reveals, for the first time, the role of KCNN1 in tumorigenesis and emphasizes the importance of KCNN1/ERLIN2/Cyclin B1 axis in the development and metastasis of breast cancer.
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Neoplasias de la Mama , Femenino , Humanos , Neoplasias de la Mama/patología , Carcinogénesis , Línea Celular Tumoral , Proliferación Celular/genética , Ciclina B1/genética , Regulación Neoplásica de la Expresión Génica , Proteínas de la Membrana/metabolismo , Canales de Potasio de Pequeña Conductancia Activados por el Calcio/metabolismo , UbiquitinaciónRESUMEN
Klebsiella pneumoniae carbapenemase (KPC) is a crucial enzyme that causes carbapenem resistance in Enterobacterales, and infections by these "superbugs" are extremely challenging to treat. Therefore, there is a pressing need for a rapid and accurate KPC detection test to control the prevalence of carbapenem-resistant Enterobacterales (CREs). In this study, we established a novel method for detection of blaKPC, the gene responsible for encoding KPC, based on a recombinase polymerase amplification (RPA) and a CRISPR/Cas13a reaction coupled to fluorophore activation (termed RPA-Cas13a assay). We carefully selected a pair of optimal amplification primers for blaKPC and achieved a lower limit of detection of approximately 2.5 copies/µL by repeatedly amplifying a recombinant plasmid containing blaKPC. The RPA-Cas13a assay demonstrated a sensitivity of 96.5% and specificity of 100% when tested on 57 blaKPC-positive CRE strains, which were confirmed by DNA sequencing. Moreover, in 311 sputum samples, the theoretical antibiotic resistance characteristics of blaKPC-positive strains obtained by the RPA-Cas13a assay were highly consistent with the results of antibiotic susceptibility test (Kappa = 0.978 > 0.81, P < 0.01). In conclusion, the RPA-Cas13a system is a simple and one-hour efficient technology for the detection of a potentially fatal antibiotic resistance gene.
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Gammaproteobacteria , Klebsiella pneumoniae , Klebsiella pneumoniae/genética , Carbapenémicos/farmacología , Repeticiones Palindrómicas Cortas Agrupadas y Regularmente Espaciadas , Proteínas Bacterianas/genéticaRESUMEN
Epstein-Barr virus (EBV) infects host cells and establishes a latent infection that requires evasion of host innate immunity. A variety of EBV-encoded proteins that manipulate the innate immune system have been reported, but whether other EBV proteins participate in this process is unclear. EBV-encoded envelope glycoprotein gp110 is a late protein involved in virus entry into target cells and enhancement of infectivity. Here, we reported that gp110 inhibits RIG-I-like receptor pathway-mediated promoter activity of interferon-ß (IFN-ß) as well as the transcription of downstream antiviral genes to promote viral proliferation. Mechanistically, gp110 interacts with the inhibitor of NF-κB kinase (IKKi) and restrains its K63-linked polyubiquitination, leading to attenuation of IKKi-mediated activation of NF-κB and repression of the phosphorylation and nuclear translocation of p65. Additionally, gp110 interacts with an important regulator of the Wnt signaling pathway, ß-catenin, and induces its K48-linked polyubiquitination degradation via the proteasome system, resulting in the suppression of ß-catenin-mediated IFN-ß production. Taken together, these results suggest that gp110 is a negative regulator of antiviral immunity, revealing a novel mechanism of EBV immune evasion during lytic infection. IMPORTANCE Epstein-Barr virus (EBV) is a ubiquitous pathogen that infects almost all human beings, and the persistence of EBV in the host is largely due to immune escape mediated by its encoded products. Thus, elucidation of EBV's immune escape mechanisms will provide a new direction for the design of novel antiviral strategies and vaccine development. Here, we report that EBV-encoded gp110 serves as a novel viral immune evasion factor, which inhibits RIG-I-like receptor pathway-mediated interferon-ß (IFN-ß) production. Furthermore, we found that gp110 targeted two key proteins, inhibitor of NF-κB kinase (IKKi) and ß-catenin, which mediate antiviral activity and the production of IFN-ß. gp110 inhibited K63-linked polyubiquitination of IKKi and induced ß-catenin degradation via the proteasome, resulting in decreased IFN-ß production. In summary, our data provide new insights into the EBV-mediated immune evasion surveillance strategy.
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Infecciones por Virus de Epstein-Barr , FN-kappa B , Humanos , FN-kappa B/metabolismo , Herpesvirus Humano 4/genética , Complejo de la Endopetidasa Proteasomal , beta Catenina , Interferón beta , Antivirales , GlicoproteínasRESUMEN
BACKGROUND AND OBJECTIVE: The traditional statistical screening method for thalassemia based on red blood cell (RBC) indices is being replaced by machine learning. Here, we developed deep neural networks (DNNs) that outperformed the traditional method for predicting thalassemia. METHOD: Using a dataset of 8693 records comprising genetic tests and other 11 features we constructed 11 DNN models and 4 traditional statistical models and then compared their performances and analysed feature importance for interpreting DNN models. RESULTS: The area under the receiver operating characteristic curve, accuracy, Youden's index, F1 score, sensitivity, specificity, positive predictive value and negative predictive value, were 0.960, 0.897, 0.794, 0.897, 0.883, 0.911, 0.914, and 0.882, respectively, for our best model, and compared with the traditional statistical model based on the mean corpuscular volume, these values were increased by 10.22%, 10.09%, 26.55%, 8.92%, 4.13%, 16.90%, 13.86% and 6.07%, respectively, and by 15.38%, 11.70%, 31.70%, 9.89%, 3.05%, 22.13%, 17.11% and 5.94%, respectively, for the mean cellular haemoglobin model. The DNN model performance will reduce without age, RBC distribution width (RDW), sex, or both WBC and PLT. CONCLUSIONS: Our DNN model outperformed the current screening model. In 8 features, RDW and age were the most useful, followed by sex and the combination of WBC and PLT, the remaining nearly useless.
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Talasemia , Talasemia beta , Humanos , Índices de Eritrocitos , Talasemia/diagnóstico , Talasemia/genética , Redes Neurales de la Computación , EritrocitosRESUMEN
Industrial production of single-chirality carbon nanotubes is critical for their applications in high-speed and low-power nanoelectronic devices, but both their growth and separation have been major challenges. Here, we report a method for industrial separation of single-chirality carbon nanotubes from a variety of raw materials with gel chromatography by increasing the concentration of carbon nanotube solution. The high-concentration individualized carbon nanotube solution is prepared by ultrasonic dispersion followed by centrifugation and ultrasonic redispersion. With this technique, the concentration of the as-prepared individualized carbon nanotubes is increased from about 0.19 mg/mL to approximately 1 mg/mL, and the separation yield of multiple single-chirality species is increased by approximately six times to the milligram scale in one separation run with gel chromatography. When the dispersion technique is applied to an inexpensive hybrid of graphene and carbon nanotubes with a wide diameter range of 0.8-2.0 nm, and the separation yield of single-chirality species is increased by more than an order of magnitude to the sub-milligram scale. Moreover, with present separation technique, the environmental impact and cost of producing single-chirality species are greatly reduced. We anticipate that this method promotes industrial production and practical applications of single-chirality carbon nanotubes in carbon-based integration circuits.
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Epstein-Barr virus (EBV) is a member of the lymphotropic virus family and is highly correlated with some human malignant tumors. It has been reported that envelope glycoprotein 110 (gp110) plays an essential role in viral fusion, DNA replication, and nucleocapsid assembly of EBV. However, it has not been established whether gp110 is involved in regulating the host's innate immunity. In this study, we found that gp110 inhibits tumor necrosis factor α-mediated NF- κB promoter activity and the downstream production of NF- κB-regulated cytokines under physiological conditions. Using dual-luciferase reporter assays, we showed that gp110 might impede the NF-κB promoter activation downstream of NF-κB transactivational subunit p65. Subsequently, we used coimmunoprecipitation assays to demonstrate that gp110 interacts with p65 during EBV lytic infection, and that the C-terminal cytoplasmic region of gp110 is the key interaction domain with p65. Furthermore, we determined that gp110 can bind to the N-terminal Rel homologous and C-terminal domains of p65. Alternatively, gp110 might not disturb the association of p65 with nontransactivational subunit p50, but we showed it restrains activational phosphorylation (at Ser536) and nuclear translocation of p65, which we also found to be executed by the C-terminal cytoplasmic region of gp110. Altogether, these data suggest that the surface protein gp110 may be a vital component for EBV to antagonize the host's innate immune response, which is also helpful for revealing the infectivity and pathogenesis of EBV.
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Infecciones por Virus de Epstein-Barr , FN-kappa B , Humanos , FN-kappa B/genética , FN-kappa B/metabolismo , Herpesvirus Humano 4/metabolismo , Infecciones por Virus de Epstein-Barr/genética , Factor de Transcripción ReIA/genética , Factor de Transcripción ReIA/metabolismo , Transducción de Señal , Transporte de ProteínasRESUMEN
Dielectric capacitors with high energy storage performance are highly desired for next-generation advanced high/pulsed power capacitors that demand miniaturization and integration. However, the poor energy-storage density that results from the low breakdown strength, has been the major challenge for practical applications of dielectric capacitors. Herein, we propose a heterovalent-doping-enabled atom-displacement fluctuation strategy for the design of low-atom-displacements regions in the antiferroelectric matrix to achieve the increase in breakdown strength and enhancement of the energy-storage density for AgNbO3-based multilayer capacitors. An ultrahigh breakdown strength ~1450 kV·cm-1 is realized in the Sm0.05Ag0.85Nb0.7Ta0.3O3 multilayer capacitors, especially with an ultrahigh Urec ~14 J·cm-3, excellent η ~ 85% and PD,max ~ 102.84 MW·cm-3, manifesting a breakthrough in the comprehensive energy storage performance for lead-free antiferroelectric capacitors. This work offers a good paradigm for improving the energy storage properties of antiferroelectric multilayer capacitors to meet the demanding requirements of advanced energy storage applications.
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Establishing the relationship between the electrical transport properties of single-wall carbon nanotubes (SWCNTs) and their structures is critical for the design of high-performance SWCNT-based electronic and optoelectronic devices. Here, we systematically investigated the effect of the chiral structures of SWCNTs on their electrical transport properties by measuring the performance of thin-film transistors constructed by eleven distinct (n, m) single-chirality SWCNT films. The results show that, even for SWCNTs with the same diameters but different chiral angles, the difference in the on-state current or carrier mobility could reach an order of magnitude. Further analysis indicates that the electrical transport properties of SWCNTs have strong type and family dependence. With increasing chiral angle for the same-family SWCNTs, Type I SWCNTs exhibit increasing on-state current and mobility, while Type II SWCNTs show the reverse trend. The differences in the electrical properties of the same-family SWCNTs with different chiralities can be attributed to their different electronic band structures, which determine the contact barrier between electrodes and SWCNTs, intrinsic resistance and intertube contact resistance. Our present findings provide an important physical basis for performance optimization and application expansion of SWCNT-based devices.
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Uncontrolled inflammation occurred in sepsis results in multiple organ injuries and shock, which contributes to the death of patients with sepsis. However, the regulatory mechanisms that restrict excessive inflammation are still elusive. Here, we identified an Ig-like receptor called signaling lymphocyte activation molecular family 7 (SLAMF7) as a key suppressor of inflammation during sepsis. We found that the expression of SLAMF7 on monocytes/macrophages was significantly elevated in patients with sepsis and in septic mice. SLAMF7 attenuated TLR-dependent MAPK and NF-κB signaling activation in macrophages by cooperating with Src homology 2-containing inositol-5'phosphatase 1 (SHIP1). Furthermore, SLAMF7 interacted with SHIP1 and TNF receptor-associated factor 6 (TRAF6) to inhibit K63 ubiquitination of TRAF6. In addition, we found that tyrosine phosphorylation sites within the intracellular domain of SLAMF7 and the phosphatase domain of SHIP1 were indispensable for the interaction between SLAMF7, SHIP1, and TRAF6 and SLAMF7-mediated modulation of cytokine production. Finally, we demonstrated that SLAMF7 protected against lethal sepsis and endotoxemia by downregulating macrophage proinflammatory cytokines and suppressing inflammation-induced organ damage. Taken together, our findings reveal a negative regulatory role of SLAMF7 in polymicrobial sepsis, thus providing sights into the treatment of sepsis.
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Sepsis , Factor 6 Asociado a Receptor de TNF , Animales , Ratones , Inflamación/metabolismo , Macrófagos/metabolismo , FN-kappa B/metabolismo , Monoéster Fosfórico Hidrolasas/genética , Monoéster Fosfórico Hidrolasas/metabolismo , Sepsis/genética , Sepsis/metabolismo , Factor 6 Asociado a Receptor de TNF/genéticaRESUMEN
PURPOSE: Circulating long noncoding RNAs (lncRNAs) have been reported to serve as biomarkers for cancer diagnosis. Here, we identified the clinical diagnostic value and biological function of lncRNA T376626 in triple-negative breast cancer (TNBC). METHOD: A genome-wide lncRNA microarray was used to screen promising serum-based lncRNA biomarkers. The expression of candidate serum lncRNAs was validated in 282 breast cancer (BC) patients and 78 healthy subjects. The diagnostic value of serum lncRNA T376626 was determined by receiver operating characteristic (ROC) curve. RNA fluorescent in situ hybridization (FISH) and RNAScope ISH assays were conducted to examine the expression and localization of lncRNA T376626 in TNBC cells and BC tissues. Kaplan-Meier analysis was conducted to evaluate the relationship between lncRNA T376626 and BC patients' overall survival (OS) rate. CCK-8, colony-forming, wound healing and Transwell assays were performed to investigate the biological function of lncRNA T376626 on cell proliferation, migration, and invasion in two TNBC cell lines. Cell apoptosis-, cell cycle- and epithelial-mesenchymal transition (EMT)-related biomarkers were quantified by western blots. The lncRNA T376626 binding proteins were screened and identified by RNA pulldown. RESULTS: LncRNA T376626 level was significantly higher in TNBC serums and tissues. Higher levels of lncRNA T376626 were positively associated with a higher pathological differentiation stage, more aggressive molecular subtype, and poor prognosis in BC and TNBC patients. The area under the curve (AUC) of serum lncRNA T376626 was 0.842. Overexpression (Knockdown) of lncRNA T376626 significantly promoted (inhibited) TNBC cell proliferation, migration, and invasion, possibly by regulating several cell cycle, cell apoptosis and EMT biomarkers. LAMC2 were identified as lncRNA T376626-binding proteins. LAMC2 facilitated TNBC proliferation and metastasis through lncRNA T376626. CONCLUSIONS: LncRNA T376626 may serve as a TNBC serum-based diagnostic and prognostic biomarker and play an oncogenic role in TNBC progression through binding to LAMC2.