微阵列cDNA数据集分析揭示与2型糖尿病相关的潜在基因,以进一步探索治疗方法

S. Muhammad, W. Raza, Saba Ghafoor, Sania Sadeeq, Syeda Zahra Abbas, S. Noor
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引用次数: 0

摘要

2型糖尿病(T2DM)是一种复杂且无法充分治疗的代谢紊乱,需要通过识别基因变异作为潜在的药物靶点来改进治疗。在本研究中,我们对t2dm相关cDNA数据集进行了系统水平的遗传分析,发现ABRA、CYR61、NR4A1、KY和TMEM131等5个显著差异表达基因(DEGs)为源基因。其中3个基因下调,2个基因上调。生物学功能和基因本体显示这些基因与细胞凋亡、细胞通讯、信号转导、胰岛素抵抗等相关。这些基因主要在多种组织中表达,特别是大脑、肺、胰腺和免疫细胞。蛋白-蛋白网络揭示了这些源基因与重要标志蛋白包括FOS、IGFN1、UBC、CTNB1、ITB5、JUN、HIF1A、p53等重要基因的相互作用。本研究将有助于了解T2DM的病因,并通过鉴定T2DM相关基因来促进新药治疗的开发。
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Microarray cDNA Dataset Analysis Reveals Potential Genes Associated with Type 2 Diabetes Mellitus for Further Treatment Exploration
Type 2 diabetes mellitus (T2DM) is an intricate and inadequately treatable metabolic disorder that requires modified treatment by identifying genetic variants as potential drug targets. In this study, we performed the system-level genetic analysis of the T2DM-related cDNA dataset and revealed 5 significant differentials expressed genes (DEGs) including ABRA, CYR61, NR4A1, KY, and TMEM131 as source genes. Among, these genes, 3 were down-regulated and 2 up-regulated. The biological function and gene ontology showed the association of these genes with cell apoptosis, cell communication, signal transduction, and insulin resistance. These genes are majorly expressed in multiple tissues specifically the brain, lungs, pancreas, and immune cells. The protein-protein network revealed the interaction of these source genes with important signature proteins including FOS, IGFN1, UBC, CTNB1, ITB5, JUN, HIF1A, p53, and other important genes. This study would be helpful to understand the etiology of T2DM and also improve the development of new drug treatments by identification of genes associated with T2DM.
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