在人类,老鼠和老鼠中识别与衰老相关的枢纽基因,基于生物信息学分析
Mona Chaurasiya1, Gajendra Prasad2
1University Department of Biotechnology, L.N. Mithila University, Darbhanga, Bihar, India.
Annals of neurosciences
|November 28, 2025
概括
这项研究确定了关键基因或枢纽,这些基因显著影响人类,老鼠和老鼠的衰老过程. 了解衰老网络中的这些关键节点可以促进与年龄有关的疾病的研究.
科学领域:
- 老年学和生物信息学
- 遗传学和分子生物学 遗传学和分子生物学
- 进行比较的基因组学.
背景情况:
- 衰老是影响所有生物体的复杂生物过程.
- 老龄化增加了对神经系统疾病的易感性,如阿尔茨海默氏症和帕金森病.
- 了解衰老的遗传基础对于健康研究至关重要.
研究的目的:
- 在复杂的衰老网络中识别关键基因 (枢纽).
- 用生物信息学分析人类和模型生物体中的这些枢纽.
- 了解如何改变关键网络节点影响生物的功能.
主要方法:
- 老龄化基因数据集从GenAge和老鼠基因组数据库中获取.
- 使用STRING (v11.5) 构建了蛋白质与蛋白质相互作用网络.
- 使用Cytoscape (v3.10.0) 与cytoHubba确定了枢纽基因;用Enrichr.com测试了功能丰富.
主要成果:
- 关键的枢纽基因显著促进衰老被确定跨物种.
- 作为重要节点,突出显示了TP53 (人类),Trp53 (老鼠) 和Actb (老鼠).
- 该研究确定了衰老网络中的关键遗传参与者.
结论:
- 已识别的枢纽基因需要进一步研究它们在衰老中的作用.
- 这项研究提高了我们对衰老分子机制的理解.
- 这些发现可以为未来关于人类和模型生物的衰老和与衰老相关的疾病的研究提供信息.
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