cDNA microarray and bioinformatic analysis for the identification of key genes in Alzheimer's disease
cDNA microarray and bioinformatic analysis for the identification of key genes in Alzheimer's disease
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DOI：
10.3892/ijmm.2013.1575
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发表时间：
2014-02-01
影响因子：
5.4
通讯作者：
Shen, Ting
中科院分区：
文献类型：
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作者：
Gu, Chao;Shen, Ting
在这项研究中，阿尔茨海默病（AD）或轻度认知障碍（MCI）患者外周血单核细胞的基因表达谱与健康个体进行了比较，以确定关键的差异表达基因（DEG），努力扩大我们对这些疾病的发病机制的理解，并确定潜在的治疗靶点。从Gene Expression Omnibus下载微阵列数据集GSE 18309，包括3个AD、3个MCI和3个正常对照（NC）样品。处理原始数据，并使用R multtest软件包进行差异分析。进行两组比较（AD与NC和MCI与NC），并获得两组DEG。选择常见的DEG，对其进行功能富集分析以及途径富集分析，以确定它们在所讨论的疾病发展中的作用。在AD与NC样品中共鉴定出405个DEG，在MCI与NC样品中共鉴定出395个DEG。共获得60个常见DEG。功能富集分析表明，DEG最常见的功能是对营养物质的反应，肌肉收缩和细胞内稳态。如途径富集分析所示，与鉴定的DEG相关的最常见途径是神经活性配体-受体相互作用途径。本研究鉴定了一系列DEG，这可能有助于揭示AD的分子机制，从而为AD的治疗提供潜在的新策略。
In this study, gene expression profiles in peripheral blood monocytes from patients with Alzheimer's disease (AD) or mild cognitive impairment (MCI) were compared with those of healthy individuals to identify key differentially expressed genes (DEGs), in an effort to broaden our understanding of the pathogenesis of these diseases and identify potential therapeutic targets. The microarray data set GSE18309 was downloaded from Gene Expression Omnibus, including 3 AD, 3 MCI and 3 normal control (NC) samples. Raw data were processed and differential analysis was performed using the R multtest package. Two groups of comparisons (AD vs. NC and MCI vs. NC) were conducted and two groups of DEGs were acquired. The common DEGs were selected, for which functional enrichment analysis, as well as pathway enrichment analysis were performed to determine their roles in the development of the diseases in question. A total of 405 DEGs were identified in the AD vs. NC samples and 395 in the MCI vs. NC samples. A total of 60 common DEGs were obtained. Functional enrichment analysis revealed that the most common functions of the DEGs identified were response to nutrients, muscle contraction and cellular homeostasis. As shown by pathway enrichment analysis, the most common pathway associated with the DEGs identifed was the neuroactive ligand-receptor interaction pathway. A range of DEGs was identified in the present study, which may help to disclose the molecular mechanisms responsible for AD and may thus provide potential novel therapeutic strategies for Ad.