Institutional Repository of Key Laboratory of Mental Health, CAS
Identification of key genes and pathways for Alzheimer’s disease via combined analysis of genome-wide expression profiling in the hippocampus | |
Wu Mengsi1,2; Fang Kechi1; Wang Weixiao1,2; Lin Wei1,2; Guo Liyuan1,2; Wang Jing1,2 | |
心理所单位排序 | 1 |
摘要 | In this study, combined analysis of expression profiling in the hippocampus of 76 patients with Alzheimer’s disease (AD) and 40 healthy controls was performed. The effects of covariates (including age, gender, postmortem interval, and batch effect) were controlled, and differentially expressed genes (DEGs) were identified using a linear mixed-effects model. To explore the biological processes, functional pathway enrichment and protein-protein interaction (PPI) network analyses were performed on the DEGs. The extended genes with PPI to the DEGs were obtained. Finally, the DEGs and the extended genes were ranked using the convergent functional genomics method. Eighty DEGs with q\0.1, including 67 downregulated and 13 upregulated genes, were identified. In the pathway enrichment analysis, the 80 DEGs were significantly enriched in one Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, GABAergic synapses, and 22 Gene Ontology terms. These genes were mainly involved in neuron, synaptic signaling and transmission, and vesicle metabolism. These processes are all linked to the pathological features of AD, demonstrating that the GABAergic system, neurons, and synaptic function might be affected in AD. In the PPI network, 180 extended genes were obtained, and the hub gene occupied in the most central position was CDC42. After prioritizing the candidate genes, 12 genes, including five DEGs (ITGB5, RPH3A, GNAS, THY1, and SEPT6) and seven extended genes (JUN, GDI1, GNAI2, NEK6, UBE2D3, CDC42EP4, and ERCC3), were found highly relevant to the progression of AD and recognized as promising biomarkers for its early diagnosis. |
关键词 | Alzheimer’s disease Combined analysis Hippocampus Gene expression Differentially expressed genes Microarray |
2019 | |
DOI | http://dx.doi.org/10.1007/s41048-019-0086-2 |
发表期刊 | Biophysics Reports |
ISSN | 2364-3439 |
卷号 | 5期号:2页码:98-109 |
期刊论文类型 | 实证研究 |
URL | 查看原文 |
收录类别 | CSCD |
出版者 | Springer Nature B.V. |
CSCD记录号 | CSCD:6498231 |
病症 | Alzheimer |
被试数量 | 76 patients with Alzheimer’s disease (AD) ; 40 healthy controls |
国家或地区 | China |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/33988 |
专题 | 中国科学院心理健康重点实验室 |
作者单位 | 1.Chinese Academy of Sciences, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China 2.University of Chinese Academy of Sciences, Department of Psychology, Beijing, China |
第一作者单位 | 中国科学院心理健康重点实验室 |
推荐引用方式 GB/T 7714 | Wu Mengsi,Fang Kechi,Wang Weixiao,等. Identification of key genes and pathways for Alzheimer’s disease via combined analysis of genome-wide expression profiling in the hippocampus[J]. Biophysics Reports,2019,5(2):98-109. |
APA | Wu Mengsi,Fang Kechi,Wang Weixiao,Lin Wei,Guo Liyuan,&Wang Jing.(2019).Identification of key genes and pathways for Alzheimer’s disease via combined analysis of genome-wide expression profiling in the hippocampus.Biophysics Reports,5(2),98-109. |
MLA | Wu Mengsi,et al."Identification of key genes and pathways for Alzheimer’s disease via combined analysis of genome-wide expression profiling in the hippocampus".Biophysics Reports 5.2(2019):98-109. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Identification_of_ke(549KB) | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论