Identification of Biomarkers Associated With Alzheimer’s Disease by Bioinformatics Analysis
Identification of Biomarkers Associated With Alzheimer’s Disease by Bioinformatics Analysis
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DOI：
10.1177/1533317515588181
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发表时间：
2016-03
期刊：
影响因子：
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通讯作者：
Yanxin Zhao;W. Tan;Wenhua Sheng;Xiaohong Li
中科院分区：
文献类型：
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作者：
Yanxin Zhao;W. Tan;Wenhua Sheng;Xiaohong Li
背景：本研究旨在探索阿尔茨海默病（AD）的生物标志物。研究方法：GSE 16759的微阵列数据来自AD患者的4个顶叶组织和年龄匹配的对照参与者的4个顶叶组织的表达谱样本。对差异表达的微小RNA（miRNAs）和基因（DEGs）进行系统聚类和功能分析，并预测靶基因。最后，将DEGs定位到靶基因上，构建miRNA调控网络。结果：共获得427个DEG，并聚类为5个功能。将DEGs定位到预测的靶基因上，共建立了313个调控对。miRNA-206调控的靶基因SEC 22囊泡运输蛋白同源物B（SEC 22 B）和SEC 63同源物（SEC 63）、miRNA-655调控的RAS癌基因家族成员RAB 10、miRNA-30 e-3 p和miRNA-369- 3 p调控的fms相关酪氨酸激酶1（FLT 1）参与蛋白质转运和细胞运动调控的生物学过程。结论：靶基因SEC 22 B、RAB 10和FLT 1可能是AD的潜在生物标志物。
Background: This study aimed to explore the biomarkers of Alzheimer’s disease (AD). Methods: The microarray data of GSE16759 were from the expression profile samples of 4 parietal lobe tissues from patients with AD and 4 ones from age-matched control participants. The differentially expressed micro RNAs (miRNAs) and genes (DEGs) underwent hierarchical clustering and function analysis followed by target genes prediction. Finally, DEGs were mapped to the target genes to construct miRNA-regulated networks. Results: A total of 427 DEGs were obtained and clustered into 5 functions. After DEGs were mapped to the predicted target genes, 313 regulatory pairs were established. The target genes SEC22 vesicle trafficking protein homolog B (SEC22B) and SEC63 homolog (SEC63) regulated by miRNA-206, RAB10, member RAS oncogene family (RAB10) regulated by miRNA-655, and fms-related tyrosine kinase 1 (FLT1) regulated by miRNA-30e-3p and miRNA-369-3p were involved in the biological processes of protein transport and regulation of cell motion. Conclusion: The target genes SEC22B, RAB10, and FLT1 may be potential biomarkers of AD.