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181.
Huang Yanping Wang Baowei Liu Guodong Ge Wenhua Zhang Mingai Yue Bin Kong Min 《Biological trace element research》2020,194(2):482-492
Biological Trace Element Research - This study investigated the effects of dietary supplementation of Bacillus subtilis-zinc on growth rates of the body and organs, nutrient utilization, microbial... 相似文献
182.
Guo-Pei Zhang Shun-Li Shen Yang Yu Xiao Yue Wen-Jie Hu Shao-Qiang Li 《Journal of cellular biochemistry》2020,121(11):4419-4430
Kinesin family member 2C (KIF2C), a substantial mitotic regulator, has been verified to exert a malignant function in several cancers. However, its function in hepatocellular carcinoma (HCC) remains unclear. In this study, the expression profile of KIF2C in HCC was characterized through the dataset from the TCGA and clinical tissue microarrays containing 220 pairs of resected HCC tissues and adjacent nontumor tissues in our hospital. The results indicated that KIF2C was substantially higher expression in tumor tissues than adjacent nontumor tissues. High expression of KIF2C significantly correlated with large tumor (>5.0 cm) (P = .001) and implied a dismal postoperative overall survival (OS) (hazard ratio [HR] = 1.729; P = .002) in our cohort of patients. Gain and loss of function assays displayed that KIF2C promoted HCC cell proliferation, accelerated cell cycle progression, and impeded apoptosis. By bioinformatic tools and mechanistic investigation, we found that KIF2C interacted with various cell-cycle-related proteins and was significantly involved in growth-promoting pathways. KIF2C upregulated PCNA and CDC20 expression. Subsequently, we investigated the regulation of KIF2C by competing endogenous RNA and elucidated that has-miR-6715a-3p was directly bond to the 3′-untranslated region of KIF2C through dual luciferase assays, thereby inhibiting KIF2C expression. Furthermore, the long noncoding RNA GS1-358P8.4 was found to be a candidate of KIF2C for has-miR-6715a-3p binding. HCC patients with high lncRNA-GS1-358P8.4 expression had shorter OS and relapse-free survival compared to those with low expression, which was accordance with the KIF2C. Taken together, KIC2C aggravated HCC progression, it could serve as a prognostic indicator and confer a novel target for clinical treatment. 相似文献
183.
Xi Chen Fang Lu Ganggang Luo Yue Ren Jing Ma 《Journal of biomolecular structure & dynamics》2020,38(15):4461-4470
AbstractFarnesoid X receptor (FXR), a bile acid receptor, has important roles in maintaining bile acid and cholesterol homeostasis, which is an attractive target for hyperlipidemia. Present study aimed to discover potential selective FXR agonists over G-protein coupled bile acid receptor 1 (GPBAR1, TGR5) from traditional Chinese medicine (TCM) by using virtual screening, in vitro studies and molecular dynamics simulation (MD). Ligand-based pharmacophore model for FXR was firstly built to screen FXR agonists from the Traditional Chinese Medicine Database (TCMD). Then, 21 FXR crystal structures were clustered in two types and two representative structures (PDB ID: 3OMM and 3P89) were, respectively, used to carry out molecular docking to refine the screened result. Moreover, the pharmacophore model for GPBAR1 was built to screen selective FXR agonists with no activity on GPBAR1. A set of 24 candidate selective FXR agonists which fitvalue of FXR pharmacophore model and docking score of 3OMM and 3P89 were in the top 100 and cannot match the pharmacophore model for GPBAR1 were obtained. By the lipid-lowering activity test in HepG2 cell lines, Arctigenin was identified to be potential selective FXR agonist with the activity of 20?μmol·L?1. After down-regulating FXR, Arctigenin could increase the mRNA of FXR while exerted no effect on the mRNA of GPBAR1. MD was further used to interpret the mechanism of Arctigenin with the representative structures. This research provided a new screening procedure for finding selective candidate compounds and appropriate docking models of a target by considering the structure diversity of PDB structures, which was applied to discovery novel selective FXR agonists to treat hyperlipidemia.Communicated by Ramaswamy H. Sarma 相似文献
184.
Yin Wenchao Wang Chunyan Peng Yue Yuan Wenlin Zhang Zhongjun Liu Hong Xia Zhengyuan Ren Congcai Qian Jinqiao 《Molecular biology reports》2020,47(5):3629-3639
Molecular Biology Reports - Oxidative stress induced necroptosis is important in myocardial ischemia/reperfusion injury. Dexmedetomidine (Dex), an α2-adrenoceptor (α2-AR) agonist, has... 相似文献
185.
Li Qifa Zhang Yue Ge Bi-Ying Li Na Sun Hai- Lun Ntim Michael Sun Yi-Ping Wu Xue-Fei Yang Jin-Yi Li Shao 《Neurochemical research》2020,45(10):2312-2323
Neurochemical Research - G protein-coupled receptor 50 (GPR50) belongs to the G protein-coupled receptor which is highly homologous with the sequence of melatonin receptor MT1 and MT2. GPR50... 相似文献
186.
Guihai Zhang Erxi Fan Guojun Yue Qiuyue Zhong Yu Shuai Mingna Wu Guangyong Feng Qiying Chen Xiaoxia Gou 《Journal of cellular biochemistry》2020,121(8-9):3804-3813
In this study, we purpose to investigate a novel five-gene signature for predicting the prognosis of patients with laryngeal cancer. The laryngeal cancer datasets were obtained from The Cancer Genome Atlas (TCGA). Both univariate and multivariate Cox regression analysis was applied to screening for prognostic differential expressed genes (DEGs), and a novel gene signature was obtained. The performance of this Cox regression model was tested by receiver operating characteristic (ROC) curves and area under the curve (AUC). Further survival analysis for each of the five genes was carried out through the Kaplan-Meier curve and Log-rank test. Totally, 622 DEGs were screened from the TCGA datasets in this study. We construct a five-gene signature through Cox survival analysis. Patients were divided into low- and high-risk groups depending on the median risk score, and a significant difference of the 5-year overall survival was found between these two groups (P < .05). ROC curves verified that this five-gene signature had good performance to predict the prognosis of laryngeal cancer (AUC = 0.862, P < .05). In conclusion, the five-gene signature consist of EMP1, HOXB9, DPY19L2P1, MMP1, and KLHDC7B might be applied as an independent prognosis predictor of laryngeal cancer. 相似文献
187.
Yue Yuanzheng Li Ling Li Yuli Li Haiyan Ding Wenjie Shi Tingting Chen Gongwei Yang Xiulian Wang Lianggui 《Plant Molecular Biology Reporter》2020,38(2):314-330
Plant Molecular Biology Reporter - Sweet osmanthus (Osmanthus fragrans) is an evergreen aromatic woody tree widely used in landscaping. However, O. fragrans is very sensitive to cold stress, which... 相似文献
188.
Many biomedical studies have identified important imaging biomarkers that are associated with both repeated clinical measures and a survival outcome. The functional joint model (FJM) framework, proposed by Li and Luo in 2017, investigates the association between repeated clinical measures and survival data, while adjusting for both high-dimensional images and low-dimensional covariates based on the functional principal component analysis (FPCA). In this paper, we propose a novel algorithm for the estimation of FJM based on the functional partial least squares (FPLS). Our numerical studies demonstrate that, compared to FPCA, the proposed FPLS algorithm can yield more accurate and robust estimation and prediction performance in many important scenarios. We apply the proposed FPLS algorithm to a neuroimaging study. Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. 相似文献
189.
190.
Chaoyi Li Kai Fan Yue Qu Wei Zhai Ai Huang Xiangfu Sun Shijie Xing 《Journal of cellular physiology》2020,235(4):3721-3730
Non-small-cell lung cancer (NSCLC) remains the leading cause of cancer death worldwide. As a platinum-based chemotherapeutic drug, cisplatin has been used for over 30 years in NSCLC treatment while its effects are diminished by drug resistance. Therefore, we aimed to study the potential role of UCA1 in the development of chemoresistance against cisplatin. Real-time polymerase chain reaction, western-blot analysis, and immunofluorescence were used to study the involvement of UCA1, miR-495, and NRF2 in chemoresistance against cisplatin. 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay was performed to determine the effect of cisplatin on cell proliferation. Computational analysis and luciferase assay were carried out to explore the interaction among UCA1, miR-495, and NRF2. The cisplatin-R group exhibited lower levels of UCA1 and NRF2 expression but a higher level of miR-495 expression than the cisplatin-S group. The growth rate and half-maximal inhibitory concentration of cellular dipeptidyl peptidase (cisplatinum) of the cisplatin-R group were much higher than those in the cisplatin-S group. MiR-495 contained a complementary binding site of UCA1, and the luciferase activity of wild-type UCA1 was significantly reduced after the transfection of miR-495 mimics. MiR-495 directly targeted the 3′-untranslated region (3′-UTR) of NRF2, and the luciferase activity of wild-type NRF2 3′-UTR was evidently inhibited by miR-495 mimics. Finally, UCA1 and NRF2 expressions in the effective group were much lower than that in the ineffective group, along with a much higher level of miR-495 expression. We suggested for the first time that high expression of UCA1 contributed to the development of chemoresistance to cisplatin through the UCA1/miR-495/NRF2 signaling pathway. 相似文献