VDJdive和ECLIPSE通过对模两可的克隆类型的概率解析来增强单细胞TCR测序分析
bioRxiv : the preprint server for biology
|February 27, 2026
概括
新的计算方法VDJdive和ECLIPSE解决了单细胞T细胞受体测序 (scTCR-seq) 数据中的模糊性. 这些工具通过计算缺失或额外的链条来准确识别T细胞克隆,提高克隆大小的准确性和跟踪.
科学领域:
- 免疫学 免疫学 免疫学
- 计算生物学 计算生物学
- 基因组学就是基因组学.
背景情况:
- 单细胞T细胞受体测序 (scTCR-seq) 对于理解T细胞分化至关重要.
- 目前的分析管道因缺失或额外的T细胞受体 (TCR) 链而与模两可的克隆类型作斗争,导致克隆尺寸不准确.
研究的目的:
- 引入VDJdive和ECLIPSE,这些计算方法旨在解决scTCR-seq数据中的克隆模糊性.
- 为了提高T细胞克隆鉴定和跟踪在不同生物条件的准确性.
主要方法:
- 开发VDJdive和ECLIPSE,使用期望最大化算法.
- 应用方法来预测丢失的TCR链,并区分生物表达与技术文物.
- 与标准的单细胞转录工作流程的集成.
主要成果:
- 通过预测缺失的链条和识别额外的链条,成功解决了模两可的克隆类型.
- 增加了克隆大小和最小化未分配的细胞,提高了克隆跟踪忠实度.
- 在各种T细胞子集和生物环境中具有广泛的适用性.
结论:
- VDJdive和ECLIPSE提供了一个强大的解决方案,用于解决scTCR-seq数据中的克隆模糊性.
- 这些方法提高了准确追踪T细胞克隆的能力,推动了免疫学和分化研究.
- 实施的方法很容易实现,并且与现有的单细胞分析管道兼容.
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