基于生物信息学和相应的mRNA表达水平的精神分裂症中差异表达基因的分析
Meiting Liu1, Shiqi Tian2, Xiaoying Liu3
1The Second Affiliated Hospital of the Army Medical University, Chongqing 400037, China.
Schizophrenia research
|April 10, 2025
概括
生物信息学确定了精神分裂症发病的关键基因. HDAC1,UBA52和FYN显示了改变的mRNA表达,这表明它们是精神分裂症的潜在生物标志物.
科学领域:
- 神经科学是一个神经科学.
- 遗传学 遗传学 是一个
- 生物信息学是一种生物信息学.
背景情况:
- 精神分裂症是一种复杂的精神疾病,具有重要的遗传成分.
- 鉴定涉及其病变发生的特定基因对于了解疾病机制至关重要.
研究的目的:
- 在精神分裂症中使用生物信息学识别差异表达基因 (DEGs).
- 在精神分裂症患者中验证关键候选基因的mRNA表达.
主要方法:
- 使用R软件对基因表达综合 (GEO) 数据集的分析.
- 功能性丰富分析 (基因本体学,KEGG) 和蛋白质与蛋白质相互作用 (PPI) 网络构建 (细胞图).
- 实时定量PCR (qPCR) 验证患者样本中的候选基因.
主要成果:
- 通过GO和PPI分析确定了813个DEG,其中6个关键基因被选择.
- 与对照组相比,精神分裂症患者的HDAC1,UBA52和FYN的mRNA表达显著不同 (P <0.05).
结论:
- HDAC1,UBA52和FYN是精神分裂症的潜在易感基因.
- 这些基因可能作为精神分裂症的诊断生物标志物.
- 这些发现为精神分裂症研究和治疗策略提供了新的方向.
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