一个计算框架来剖析对单细胞质素修饰数据的归算策略
Marta Moreno-González1,2, Jeroen de Ridder3, Jop Kind1,2
1Oncode Institute, Hubrecht Institute-KNAW and University Medical Center Utrecht, 3584 CT, Utrecht, The Netherlands.
NAR genomics and bioinformatics
|December 31, 2025
概括
这项研究对单细胞基因组后翻译修饰 (scHPTM) 数据进行了计算归算方法的基准测试. 研究结果显示,方法性能因任务而异,指导单细胞表观遗传学未来的算法开发.
科学领域:
- 表观遗传学和基因组学
- 计算生物学 计算生物学
- 单细胞分析的方法
背景情况:
- 对基因组转化后修饰 (scHPTMs) 的单细胞分析对于理解表观遗传调节和细胞身份至关重要.
- scHPTM数据集面临的分析挑战是由于读取深度低和固有的噪声.
研究的目的:
- 引入第一个全面的计算框架来评估scHPTM数据上的归算策略.
- 在scHPTM数据上评估原先针对单细胞RNA-seq (scRNA-seq) 和单细胞ATAC-seq (scATAC-seq) 开发的归算方法.
主要方法:
- 开发了一个模块化的R包,实现了新的性能指标.
- 评估了使用合成和公布scHPTM数据集的归算策略.
- 评估信号恢复,基因组部位的丰富,以及细胞对细胞相似性的保存.
主要成果:
- 对于 scHPTM 数据中的所有分析任务来说,没有一个归算方法是最佳的.
- 在诸如信号消噪,峰值检测和集群等任务中,性能差异很大.
- 确定了 scHPTM 数据当前归算方法的优点和局限性.
结论:
- 该研究为单细胞表观遗传学研究人员和开发人员提供了关键指导.
- 为 scHPTM 数据开发下一代任务意识的归算算法奠定了基础.
- 突出了scHPTM数据集的计算分析中的未满足需求和当前能力.
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