单细胞与孟德尔随机化鉴定前列腺癌关键基因

Authors

  • 韩浩冉 山西医科大学第三临床医学院
  • 任瑞民

DOI:

https://doi.org/10.70693/cjmsr.v1i2.1161

Keywords:

前列腺癌;单细胞转录组测序;孟德尔随机化分析;表达数量性状位点;标记基因

Abstract

摘  要:目的 利用单细胞转录组中差异表达基因结合全基因组关联研究(GWAS)数据的基因eQTL关联分析,以获得因果相关的前列腺癌(PCa)关键基因。方法 本研究利用GEO数据库中的GSE193337数据集,分析了8个前列腺组织样本的单细胞测序数据。通过R语言进行细胞聚类及注释并筛选各个细胞亚型标记基因。结合前列腺癌患者的GWAS和基因eQTL数据,进行孟德尔随机化(MR)分析,采用敏感性分析和异质性检验选择显著的基因结果。最后,构建蛋白互作网络,并进行GO和KEGG通路富集分析,筛选相关的功能通路。结果 本研究纳入8例前列腺样本(癌/正常各4例),注释为8种细胞类型(如T细胞、上皮细胞等)。MR分析鉴定上皮细胞差异基因IGFBP-3(OR=0.901,P=0.017)和TGM3(OR=1.042,P=0.009)与PCa因果关联,敏感性分析证实结果稳健。蛋白互作网络结合富集分析揭示关键基因参与前列腺癌、MAPK等通路,涉及生长调控及代谢过程。结论 本研究通过结合scRNA-seq和MR分析,确定了IGFBP-3和TGM3是PCa潜在的生物标志物。

项目:中央引导地方科技发展资金项目(YDZJSX20231A066);山西省研究生实践创新项目(2024SJ170)

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Published

2025-07-17

How to Cite

韩浩冉, & 任瑞民. (2025). 单细胞与孟德尔随机化鉴定前列腺癌关键基因. 中国医学科学研究, 1(2), 16–22. https://doi.org/10.70693/cjmsr.v1i2.1161