INHBA-AS1 affects ornithine metabolism and EMT process of cervical cancer HeLa cells through c-Myc/SCD pathway / 中国肿瘤生物治疗杂志

@#[摘 要] 目的：探讨抑制素β亚基A反义RNA1（INHBA-AS1）对宫颈癌HeLa细胞EMT和鸟氨酸代谢途径的影响及其机制。方法：体外常规培养HeLa细胞，实验分为10组：对照组、阴性对照（NC）组、sh-INHBA-AS1组、PluriSIn 1[硬脂酰辅酶A去饱和酶（stearyl CoA desaturase，SCD）抑制剂]组、NC+PluriSIn 1组、sh-INHBA-AS1+PluriSIn 1组、10058-F4（c-Myc抑制剂）组、NC+10058-F4组、sh-INHBA-AS1+10058-F4组、sh-INHBA-AS1+OE-c-Myc组。平板克隆实验检测各组细胞的增殖能力，FCM检测各组细胞的凋亡情况，Transwell小室实验检测各组细胞的侵袭、迁移能力，qPCR法检测各组细胞中INHBA-AS1、c-Myc、SCD和EMT相关基因（N-cadherin、TGF-β、ZEB1）mRNA的表达，WB法检测各组细胞中c-Myc、SCD、EMT相关（N-cadherin、TGF-β、ZEB1）、S-腺苷-甲硫氨酸脱羧酶（SAMDC）和亚精胺/精胺N1-乙酰转移酶（SSAT）蛋白的表达，ELISA检测各组细胞上清液中鸟氨酸脱羧酶（ODC）的含量。结果：敲减INHBA-AS1表达使HeLa细胞的增殖、侵袭和迁移能力显著降低（均P<0.05）而细胞凋亡率显著升高（P<0.05），qPCR、WB法检测结果显示，敲减INHBA-AS1均可显著抑制HeLa细胞中c-Myc、SCD、N-cadherin、TGF-β、ZEB1和SAMDC的表达（均P<0.05），而促进SSAT的表达（P<0.05），并降低HeLa细胞上清液中ODC的含量（P<0.05）。与c-Myc抑制剂和SCD抑制剂单独处理相比，其联合敲减INHBA-AS1后上述作用更加显著（均P<0.05）；与sh-INHBA-AS1组相比，进一步过表达c-Myc后HeLa细胞的增殖能力显著升高（P<0.05）、SCD和N-cadherin蛋白表达水平显著升高（P<0.05）、细胞上清液中ODC含量显著升高（P<0.05）。结论：INHBA-AS1可通过c-Myc调控SCD的表达，从而影响HeLa细胞鸟氨酸代谢和EMT进程，进而促进HeLa细胞的增殖、侵袭和迁移能力。

Analysis of the influence of biochemical indexes of athletes under training based on the internet of things and cloud computing / Análise da influência dos índices bioquímicos dos atletas em treinamento com base na internet das coisas e na computação em nuvem / Análisis de la influencia de los índices bioquímicos de los atletas en el período de entrenamiento basado en internet de las cosas y la computación en nube

ABSTRACT For athletes under training, it is more efficient to use the Internet of Things (IoT) and cloud computing methods to collect and process biochemical indicators, and this study is about research based on the IoT and cloud computing technology for athletes under training. The problems are put forward in this study. The requirements of related algorithm design and the communication model properties are comprehensively analyzed. Scheduling the link and allocating the transmit power of the nodes are comprehensively considered, with design and analysis of wireless sensor network scheduling algorithm. The factors influencing the scheduling efficiency of the algorithm are analyzed, considering the node density and the influence of different power allocation schemes on the scheduling result. This study shows that the algorithm of this thesis can collect the biochemical index data of athletes during training period. As the number of nodes increases, the running results will gradually move towards the optimal value. This research study is of important theoretical significance for the application of IoT and cloud computing technology and the improvement of athlete training effect.

RESUMO Para os indicadores bioquímicos dos atletas durante o treino, é mais eficiente usar a internet das coisas e métodos de computação em nuvem para coletar e processar indicadores bioquímicos durante o treino de atletas. Este estudo se baseia na tecnologia da internet das coisas IoT e na computação em nuvem voltada para atletas durante o período de treino. Os problemas são apresentados neste documento. Os requisitos de concepção de algoritmos relacionados e propriedades do modelo de comunicação são amplamente analisados. A programação do link e a alocação da potência de transmissão dos nodos são considerados de forma abrangente, com projeto e análise do algoritmo de programação da rede de sensores sem fio. Os fatores que influenciam a eficiência de programação do algoritmo são analisados, considerando a densidade do nodo e a influência de diferentes sistemas de alocação de energia no resultado da programação. A pesquisa Mostra que o algoritmo desta tese pode coletar os dados do índice bioquímico dos atletas durante o período de treino. À medida que o número de nodos aumenta, os resultados de execução tenderão gradualmente para o valor ideal. Esta pesquisa tem um significado teórico importante para a aplicação da tecnologia da internet das coisas e computação em nuvem e para a melhoria do efeito dos treinos realizados por atletas.

RESUMEN Para los indicadores bioquímicos de los atletas durante el entrenamiento, es más eficiente usar la internet de las cosas y métodos de computación en nube para recolectar y procesar indicadores bioquímicos durante el entrenamiento de atletas. Este estudio se basa en la tecnología de la internet de las cosas IoT y en la computación en nube dedicada a atletas durante el período de entrenamiento. Los problemas son presentados en este documento. Los requisitos de concepción de algoritmos relacionados y propriedades del modelo de comunicación son ampliamente analizados. La programación del link y la destinación de la potencia de transmisión de los nodos son considerados de forma abarcadora, con proyecto y análisis del algoritmo de programación de la red de sensores inalámbrica. Los fatores que influencian la eficiencia de programación del algoritmo son analizados, considerando la densidad del nodo y la influencia de diferentes sistemas de destinación de energía en el resultado de la programación. La investigación muestra que el algoritmo de esta tesis puede recolectar los datos del índice bioquímico de los atletas durante el período de entrenamiento. A medida que el número de nodos aumenta, los resultados de ejecución tenderán gradualmente hacia el valor ideal. Esta investigación tiene un significado teórico importante para la aplicación de la tecnología de la internet de las cosas y computación en nube y para la mejora del efecto de los entrenamientos realizados por atletas.

Claudin-1 and Claudin-3 as Molecular Regulators of Myelination in Leukoaraiosis Patients

OBJECTIVES: Leukoaraiosis is described as white matter lesions that are associated with cognitive dysfunction, neurodegenerative disorders, etc. Myelin depletion is a salient pathological feature of, and the loss of oligodendrocytes is one of the most robust alterations evident in, white matter degeneration. Recent studies have revealed that claudin proteins are aberrantly expressed in leukoaraiosis and regulate oligodendrocyte activity. However, the roles of claudin-1 and claudin-3 in oligodendrocytes and leukoaraiosis are still not well-defined. METHODS: Quantitative polymerase chain reaction was used to measure the expression of claudin-1 (CLDN1), claudin-3 (CLDN3), and myelinogenesis-related genes such as myelin basic protein (MBP), proteolipid protein (PLP), oligodendrocyte transcription factor 2 (OLIG2), and SRY-box transcription factor 10 (SOX10) in leukoaraiosis patients (n=122) and healthy controls (n=122). The expression of claudin-1 and claudin-3 was either ectopically silenced or augmented in Oli-neu oligodendrocytes, and colony formation, apoptosis, and migration assays were performed. Finally, the expression of myelin proteins was evaluated by western blotting. RESULTS: Our results revealed that in addition to SOX10, the expression levels of claudin-1, claudin-3, and myelinogenesis-related proteins were prominently downregulated in leukoaraiosis patients, compared to those in healthy controls. Furthermore, the growth and migration of Oli-neu cells were downregulated upon silencing claudin-1 or claudin-3. However, the overexpression of claudin-1 or claudin-3 resulted in the reduction of the degree of apoptosis in Oli-neu cells. In addition, claudin-1 and claudin-3 promoted the expression of MBP, OLIG2, PLP, and SOX10 at the translational level. CONCLUSION: Our data has demonstrated that the abnormal expression of claudin-1 and claudin-3 regulates the pathological progression of leukoaraiosis by governing the viability and myelination of oligodendrocytes. These findings provide novel insights into the regulatory mechanisms underlying the roles of claudin-1 and claudin-3 in leukoaraiosis.

Downregulation of lncrna uca1 as a diagnostic and prognostic biomarker for ovarian endometriosis

SUMMARY OBJECTIVE: Ovarian endometriosis seriously affects the quality of life of females, and long non-coding RNA lncRNA urothelial carcinoma-associated 1 (UCA1) plays pivotal roles in the pathogenesis of various ovarian diseases. However, the involvement of lncRNA UCA1 in ovarian endometriosis remains unknown to date. Therefore, the present study aims to study the role of UCA1 in ovarian endometriosis. METHODS: A total of 98 patients with ovarian endometriosis and 28 healthy females were included. The expression of lncRNA UCA1 in ectopic and eutopic endometrium tissues of ovarian endometriosis patients and controls was detected using qRT-PCR. A ROC curve analysis was performed to evaluate the diagnostic values of serum lncRNA UCA1 for ovarian endometriosis. Patients were followed up for 2 years after discharge, and the recurrence of ovarian endometriosis was recorded. RESULTS: The expression level of lncRNA UCA1 was significantly higher in ectopic endometrium tissues than in paired eutopic endometrium tissues for most of the patients. The serum lncRNA UCA1 level showed no significant correlations with either patients' age or living habits. After the treatment, the serum lncRNA UCA1 level increased, and serum levels of lncRNA UCA1 on the day of discharge were significantly lower in patients with recurrence than those in patients without recurrence. Conclusion: The downregulation of lncRNA UCA1 is involved in the pathogenesis of ovarian endometriosis and may serve as a promising diagnostic and prognostic biomarker for the disease.

RESUMO OBJETIVO: A endometriose ovariana afeta seriamente a qualidade de vida das mulheres, e o carcinoma urotelial 1 de urcélio de RNA não codificador longo 1 (UCA1) desempenha um papel crucial na patogênese de várias doenças ovarianas. No entanto, o envolvimento do lncRNA UCA1 na endometriose ovariana permanece desconhecido até o momento. Portanto, o presente estudo tem como objetivo estudar o papel do UCA1 na endometriose ovariana. Métodos: Um total de 98 pacientes com endometriose ovariana e de 28 mulheres saudáveis foi incluído. A expressão de lncRNA UCA1 em tecidos de endométrio ectópico e eutópico de pacientes com endometriose ovariana e controles foi detectada por qRT-PCR. A análise da curva ROC foi realizada para avaliar os valores diagnósticos do lncRNA UCA1 sérico para endometriose ovariana. Os pacientes foram acompanhados por dois anos após a alta, e a recorrência da endometriose ovariana foi registrada. RESULTADOS: O nível de expressão do lncRNA O UCA1 foi significativamente maior nos tecidos do endométrio ectópico do que nos tecidos do endométrio eutópico pareados para a maioria dos pacientes. O nível sérico de UCA1 foi diminuído com a progressão da endometriose ovariana. O soro UCA1 pode ser usado para diagnosticar com precisão a endometriose ovariana. O nível sérico de UCA1 não apresentou correlações significativas com a idade ou com os hábitos de vida dos pacientes. Após o tratamento, o nível sérico do lncRNA UCA1 foi aumentado, e os níveis séricos de lncRNA UCA1 no dia da alta foram significativamente menores nos pacientes com recidiva do que naqueles sem recorrência. CONCLUSÃO: A regulação negativa do lncRNA UCA1 está envolvida na patogênese da endometriose ovariana e pode servir como um promissor biomarcador diagnóstico e prognóstico para a doença.

Genome-wide Identification, Classification and Expression Analysis of the Mildew Resistance Locus O ( MLO ) Gene Family in Sweet Orange ( Citrus sinensis )

ABSTRACT Mildew resistance Locus O (MLO), a gene family specific to plants, plays significant roles in the resistance to powdery mildew (PM) and response to a variety of abiotic stresses, plant growth and development. Despite their importance as barley, rice, wheat, few studies are reported in dicots except Arabidopsis; no global analysis has been performed in the burgeoning model fruit plant sweet orange (Citrus sinensis). The recent release of the genome sequences of C. sinensis provides an opportunity to conduct a comprehensive overview the evolution and features of the MLO gene family in sweet orange. In this study, amount to 14 members of the Citrus sinensis MLO gene (CisMLO) family according to their gene structures, conserved motifs, and similitude among their presumptive Arabidopsis and rice orthologs were identified in silico. Based on these analyses, all CisMLOs were grouped into six clades and expanded partly due to one tandem duplication and two segmental duplication events. Survey of their chromosomal distributions uncovered that 14 CisMLOs are localized across 6 chromosomes. Multiple-sequence alignments showed that 11 of them shared seven highly conserved transmembrane domains (TMs), while all of the sweet orange MLO proteins except CisMLO4/14 had a calmodulin-binding domain for MLO function. Expression analysis demonstrated that the MLO gene family has a diverse tissue-specific expression profiles in the sweet orange development and plays potential critical roles in stress responses. These findings will facilitate further studies of evolutionary pattern and biological functions of MLO genes in sweet orange.