单细胞和转录组分析揭示了糖尿病对卵巢癌的影响
Zhihao Zhao1, Qilin Wang1, Fang Zhao2
1Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China.
BMC genomics
|January 3, 2024
概括
这项研究确定了糖尿病 (DM) 和卵巢癌 (OC) 之间的共同分子目标和调节网络. 这些发现突出了潜在的生物标志物和机制,将这两种流行疾病联系起来.
科学领域:
- 在瘤学瘤学.
- 内分泌学 在内分泌学.
- 生物信息学是一种生物信息学.
- 分子生物学分子生物学
背景情况:
- 糖尿病 (DM) 的全球患病率正在上升,增加了对卵巢癌 (OC) 的易感性.
- 对于DM和OC之间的分子关系和共享机制尚不清楚.
研究的目的:
- 调查DM和OC之间共享的分子调节机制.
- 确定DM和OC的潜在常见生物标志物.
主要方法:
- 利用生物信息学分析多个基因表达综合 (GEO) 数据集,包括单细胞数据.
- 进行了免疫细胞透分析,构建了蛋白质-蛋白质相互作用 (PPI) 网络,并确定了10个核心向基因.
- 进行了基因本体学 (GO) 和基因和基因组的京都百科全书 (KEGG) 丰富分析,并建立了TF-mRNA-miRNA相关调节网络. 使用免疫组织化学 (IHC) 和实时定量PCR (RT-qPCR) 验证的核心目标.
主要成果:
- 在OC和DM中确定了119个与单核细胞相关的常见基因.
- 发现了10个枢纽基因 (例如,HSP90AA1,HSPA8,SOD1),涉及中性粒细胞脱粒化和IL-17信号传递等途径.
- 在卵巢瘤中验证了核心标的差异表达,并确定了可能调节这些基因的关键转录因子 (TF) 和微RNA (miRNA).
结论:
- 揭示了OC和DM之间共享的基因相互作用网络,涉及单细胞中的特定TF和miRNA.
- 提供了关于OC和DM共患病的潜在生物学机制的见解.
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