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- 저자 : Ya-Lan Xiong (검색결과 2 건)
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Single-cell RNA sequencing reveals B cell–related molecular biomarkers for Alzheimer’s disease
Xiong Liu-Lin,Xue Lu-Lu,Du Ruo-Lan,Niu Rui-Ze,Chen Li,Chen Jie,Hu Qiao,Tan Ya-Xin,Shang Hui-Fang,Liu Jia,Yu Chang-Yin,Wang Ting-Hua 생화학분자생물학회 2021 Experimental and molecular medicine Vol.53 No.-
In recent years, biomarkers have been integrated into the diagnostic process and have become increasingly indispensable for obtaining knowledge of the neurodegenerative processes in Alzheimer’s disease (AD). Peripheral blood mononuclear cells (PBMCs) in human blood have been reported to participate in a variety of neurodegenerative activities. Here, a single-cell RNA sequencing analysis of PBMCs from 4 AD patients (2 in the early stage, 2 in the late stage) and 2 normal controls was performed to explore the differential cell subpopulations in PBMCs of AD patients. A significant decrease in B cells was detected in the blood of AD patients. Furthermore, we further examined PBMCs from 43 AD patients and 41 normal subjects by fluorescence activated cell sorting (FACS), and combined with correlation analysis, we found that the reduction in B cells was closely correlated with the patients’ Clinical Dementia Rating (CDR) scores. To confirm the role of B cells in AD progression, functional experiments were performed in early-stage AD mice in which fibrous plaques were beginning to appear; the results demonstrated that B cell depletion in the early stage of AD markedly accelerated and aggravated cognitive dysfunction and augmented the Aβ burden in AD mice. Importantly, the experiments revealed 18 genes that were specifically upregulated and 7 genes that were specifically downregulated in B cells as the disease progressed, and several of these genes exhibited close correlation with AD. These findings identified possible B cell-based AD severity, which are anticipated to be conducive to the clinical identification of AD progression.
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Yuan-Jian Yang,Wenhe Wang,Xin-Yin Zhang,Ya-Lan Xiong,Gui-Hua Wang 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.11
Satellite reliability has long been a critical issue in space industry. In-orbit lifetime data modelling and the corresponding reliability analysis are indispensable aspects for satellite reliability. However, limited by available in-orbit lifetime data, these two aspects have not been well studied. Aiming to mitigate this limitation, we conduct a coherent research on satellite reliability analysis based on an in-orbit database of 1584 satellites. A nonparametric reliability analysis is firstly implemented on the data set to identify the characteristics of failure rate. Then, the modified Weibull extension distribution is used to model the satellite reliability. Point estimation and interval estimation are carried out by utilizing a Bayesian method. Posterior distributions of model parameters are obtained and reserved for further reliability analysis of newly launched satellites. The results presented in this paper can provide helpful information to the space industry for design improvement and test planning of new satellites.
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