基于scRNA-seq数据和ANDSystem知识库的基因网络调节肝细胞癌中亡的重建和分析
A V Adamovskaya1, I V Yatsyk1, M A Kleshchev1
1Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia.
Vavilovskii zhurnal genetiki i selektsii
|January 16, 2026
概括
研究人员通过分析基因网络,确定了参与肝癌 (肝细胞癌) 的关键蛋白质. 这项研究揭示了瘤细胞中减弱的亡,为癌症治疗提供了潜在的新治疗点.
科学领域:
- 在瘤学瘤学.
- 计算生物学 计算生物学
- 分子生物学分子生物学
背景情况:
- 肝细胞癌 (HCC) 是一种致命的肝癌,具有高死亡率和耐治疗性.
- 肝细胞亡的干扰对HCC的发展和进展至关重要.
- 细胞亡或编程细胞死亡对于消除缺陷细胞和预防癌症至关重要.
研究的目的:
- 重建和分析调节人类HCC肝细胞亡的基因网络.
- 确定关键的分子参与者和参与HCC相关的亡的调节机制.
- 通过了解亡失调来发现HCC的潜在治疗点.
主要方法:
- 使用的单细胞转录组测序 (scRNA-seq) 数据.
- 采用ANDSystem知识库与人工智能和计算系统生物学.
- 在瘤和正常肝肝细胞之间进行了基因表达比较分析.
主要成果:
- 确定了116个差异表达的亡相关基因和16种相互作用蛋白质的基因网络.
- 在HCC肝细胞中发现了亡和炎症基因的减弱转录.
- 突出显示的关键蛋白质 (NFKB1,MMP9,BCL2,CDKN1A,ERBB2,等等) 需要注意. 在HCC中具有高连接性和差异表达.
- 发现了与亡途径相互作用的新型亡调节剂 (例如CDKN1A,ERBB2,IL8,EGR1).
结论:
- 这项研究提供了对HCC中亡失调的系统性理解.
- 通过调节细胞亡来确定HCC治疗的新型治疗点和方法.
- 该方法可用于分析其他癌症类型和监管网络.
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