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A graph-clustering approach to search important molecular markers and pathways of Parkinsons disease

机译:图聚类方法搜索帕金森病的重要分子标志物和途径

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Parkinson disease is the second most common neurodegenerative disorder. Therefore, it is worthwhile to search for important molecular markers and pathways that hold great promise for further treatment of patients with Parkinson’s disease. DNA-microarray-based technologies allow simultaneous analysis of expression of thousands of genes. Here, we performed a comprehensive gene level assessment of Parkinson’s disease using 16 colorectal cancer samples and nine normal samples. The results show that SLC6A3, SLC18A2, and EN1, etc., are related to Parkinson’s disease. Besides, we further mined the underlying molecular mechanism within these different genes. The results indicate that tyrosine metabolism pathway and Parkinson's disease pathway were two significant pathways, with hope to provide insights into the development of novel therapeutic targets and pathways.
机译:帕金森病是第二大最常见的神经退行性疾病。因此,寻找重要的分子标志物和途径值得进一步治疗帕金森氏病,这是值得的。基于DNA芯片的技术可同时分析数千种基因的表达。在这里,我们使用16个大肠癌样本和9个正常样本对帕金森氏病进行了全面的基因水平评估。结果表明,SLC6A3,SLC18A2和EN1等与帕金森氏病有关。此外,我们进一步挖掘了这些不同基因内的潜在分子机制。结果表明酪氨酸代谢途径和帕金森氏病途径是两个重要途径,希望为新的治疗靶点和途径的发展提供见解。

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