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Integrated analysis of differential gene expression profiles in hippocampi to identify candidate genes involved in Alzheimers disease

机译:综合分析海马中差异基因表达谱以鉴定涉及阿尔茨海默氏病的候选基因

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摘要

Alzheimer's disease (AD) is a complex neurodegenerative disorder with largely unknown genetic mechanisms. Identifying altered neuronal gene expression in AD may provide diagnostic or therapeutic targets for AD. The present study aimed to identify differentially expressed genes (DEGs) and their further association with other biological processes that regulate causative factors for AD. The present study performed an integrated analysis of publicly available gene expression omnibus datasets of AD hippocampi. Gene ontology (GO) enrichment analyses, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and Protein-Protein interaction (PPI) network analysis were performed. The present study detected 295 DEGs (109 upregulated and 186 downregulated genes) in hippocampi between AD and control samples by integrating four datasets of gene expression profiles of hippocampi of patients with AD. Respiratory electron transport chain (GO: 0022904; P=1.64×10−11) was the most significantly enriched GO term among biological processes, while for molecular functions, the most significantly enriched GO term was that of protein binding (GO: 0005515; P=3.03×10−29), and for cellular components, the most significantly enriched GO term was that of the cytoplasm (GO: 0005737; P=8.67×10−33). The most significant pathway in the KEGG analysis was oxidative phosphorylation (P=1.61×10−13). PPI network analysis showed that the significant hub proteins contained β-actin (degree, 268), hepatoma-derived growth factor (degree, 218) and WD repeat-containing protein 82 (degree, 87). The integrated analysis performed in the present study serves as a basis for identifying novel drug targets to develop improved therapies and interventions for common and devastating neurological diseases such as AD.
机译:阿尔茨海默氏病(AD)是一种复杂的神经退行性疾病,其遗传机制尚不清楚。鉴定AD中神经元基因表达的改变可为AD提供诊断或治疗靶标。本研究旨在鉴定差异表达基因(DEG)及其与调节AD致病因素的其他生物学过程的进一步关联。本研究对AD海马的公共基因表达综合数据集进行了综合分析。进行了基因本体论(GO)富集分析,《京都基因与基因组百科全书》(KEGG)途径分析和蛋白质-蛋白质相互作用(PPI)网络分析。本研究通过整合AD患者海马基因表达谱的四个数据集,在AD和对照样品之间检测到295个DEG(109个上调基因和186个下调基因)。呼吸电子转运链(GO:0022904; P = 1.64×10 −11 )是生物过程中最富集的GO术语,而对于分子功能而言,最富集的GO术语是蛋白质的GO术语。结合(GO:0005515; P = 3.03×10 −29 ),对于细胞成分,GO术语最丰富的是细胞质(GO:0005737; P = 8.67×10 −33 )。 KEGG分析中最重要的途径是氧化磷酸化(P = 1.61×10 -13 )。 PPI网络分析表明,重要的中枢蛋白包含β-肌动蛋白(度268),肝癌衍生的生长因子(度218)和含WD重复序列的蛋白82(度87)。在本研究中进行的综合分析为确定新的药物靶标提供了基础,以开发针对常见和毁灭性神经疾病(例如AD)的改良疗法和干预措施。

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