生物信息学分析了从不明原因的反复性自发性流产中脱落的自然杀手细胞中的竞争性内源性RNA网络
1Department of Gynecology and Obstetrics, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Medicine
|October 13, 2023
概括
这项研究确定了一种新型的竞争性RNA (ceRNA) 网络,涉及传递 RNA (mRNA),microRNA (miRNA) 和长非编码 RNA (lncRNA) 在来自不明原因的复发性自发性流产 (URSA) 患者的乳头自然杀手 (dNK) 细胞中. 这些发现表明,URSA病变的潜在RNA生物标志物.
科学领域:
- 生殖免疫学 生殖免疫学
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 脱落性自然杀手 (dNK) 细胞对于早期怀孕的维持至关重要.
- 非编码RNAs (ncRNAs) 的失调可能导致不明原因的复发性自发性流产 (URSA).
- 竞争性RNA (ceRNA) 网络在URSA病原发生中的作用尚不清楚.
研究的目的:
- 确定URSA患者dNK细胞中的mRNA-miRNA-lncRNAceRNA的调节网络.
- 阐明URSA背后的分子机制.
主要方法:
- 在URSA患者的dNK细胞中对差异表达基因 (DEGs),miRNAs和lncRNAs的生物信息分析.
- 使用STRING和Cytoscape构建蛋白质与蛋白质相互作用 (PPI) 网络.
- 使用miRTarBase和RNA22的调节相互作用的预测.
主要成果:
- 确定了634个DEGs (290个上调,344个下调) 和207个差异表达的lncRNAs (110个上调,97个下调).
- 根据节点程度确定了30个枢纽基因.
- 在dNK细胞中构建了一种与URSA病变发生相关的新型mRNA-miRNA-lncRNA ceRNA网络.
结论:
- 在URSA患者的dNK细胞中建立了一个新的mRNA-miRNA-lncRNA ceRNA调节网络.
- 鉴定到的RNA可以作为URSA病变发生的潜在生物标志物.
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