整合生物信息学和机器学习,以发现毒症中化相关的特征
Xue Teng1,2, Qi Wang3, Jinling Ma4
1Department of Anesthesiology, Heilongjiang Provincial Hospital, Harbin, Heilongjiang, China.
Scientific reports
|April 24, 2025
概括
在败血症中,小型乌比基类MO修饰剂 (SUMOylation) 的机制尚不清楚. 鉴定了六个枢纽基因 (RORA,L3MBTL2,PHC1,RPA1,CHD3,RANGAP1),为败血症提供了诊断潜力.
科学领域:
- 生物化学和分子生物学
- 基因组学和生物信息学
- 免疫学 免疫学 免疫学
背景情况:
- 小型乌比基类MO修饰剂 (SUMOylation) 在败血症中起作用,但其特定的分子机制在很大程度上仍未知.
- 了解毒症所涉及的遗传和调控因素对于开发有效的诊断和治疗策略至关重要.
研究的目的:
- 调查与败血症中SUMOylation相关的枢纽基因和调控机制.
- 为了确定毒症的潜在诊断生物标志物.
主要方法:
- 利用公共数据集 (GSE65682,GSE95233) 进行差异基因表达分析和权重基因同表达网络分析 (WGCNA).
- 应用最小绝对收缩和选择操作员 (LASSO) 和支持向量机-递归特征消除 (SVM-RFE) 来识别重要的特征基因.
- 进行功能丰富,免疫细胞相关性和调控网络分析.
主要成果:
- 确定了六个关键的枢纽基因:RORA,L3MBTL2,PHC1,RPA1,CHD3和RANGAP1,所有这些都在败血症中显著下调.
- 这些枢纽基因对败血症具有显著的诊断价值 (AUC>0.7),并且在核糖体通路中得到丰富.
- 一个涉及AC004687.1,hsa-miR-142-5p和PHC1的调节网络被阐明,RORA与激活的CD8+T细胞呈正相关性.
结论:
- 与SUMOylation相关的已识别的六个枢纽基因是毒症的潜在诊断生物标志物.
- 这些发现提供了关于败血症分子机制的见解,并可能有助于区分疾病和控制状态.
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