STmiR:一种基于XGBoost的新型框架,用于在癌症转录组学中空间解析的miRNA活动预测
Jiaqi Yuan1, Peng Xu1,2, Zheng Ye1
1Institute of Computational Science and Technology, Guangzhou University, Guangzhou, China.
PloS one
|September 9, 2025
概括
我们开发了STmiR,这是一种绘制瘤微环境 (TME) 中微RNA (miRNA) 活动的新方法. 这种工具揭示了空间miRNA-目标相互作用,有助于癌症研究和生物标志物发现.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 微RNAs (miRNAs) 是癌症中的关键基因调节者.
- 由于技术的局限性,瘤微环境 (TME) 中miRNAs的空间动态尚不清楚.
研究的目的:
- 引入STmiR,一种用于预测空间解析miRNA活动的新框架.
- 在TME中建模非线性miRNA-mRNA相互作用.
主要方法:
- 开发了STmiR,这是一个基于XGBoost的框架,集成了大量RNA-seq (TCGA,CCLE) 和空间转录组学 (ST) 数据.
- 模拟miRNA-mRNA相互作用以高准确度预测miRNA活动 (斯皮尔曼的 ρ > 0.8).
- 与实验miRNA表达数据对比的验证性能.
主要成果:
- 在四种主要癌症类型中,STmiR成功预测了miRNA活性.
- 确定了6个保存的泛癌性miRNAs,并发现了细胞类型特定的调节网络.
- 在乳腺癌病例研究中证明了实用性,揭示了与癌症途径相关的miRNA-目标关系.
结论:
- STmiR使miRNA活动的空间映射成为可能,为癌症研究提供了一个变革性的工具.
- 在癌症进展和TME重塑中促进miRNA介导机制的剖析.
- 对生物标志物发现和精确瘤学有影响.
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