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米托德尔塔:从单细胞RNA测序数据中以细胞类型分辨率识别线粒体DNA缺失

Haruko Nakagawa^1,2, Yasuyuki Shima^3,4, Yohei Sasagawa^1,2

¹Department of Functional Genome Informatics, Division of Biological Data Science, Medical Research Laboratory, Institute of Integrated Research, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-Ku, Tokyo, 113-8510, Japan.

|September 26, 2025

概括

MitoDelta是一种新的计算工具,可以使用单细胞RNA测序数据检测特定细胞类型中的线粒体DNA (mtDNA) 缺失. 这种方法揭示了mtDNA突变如何影响不同的细胞群,有助于疾病研究.

科学领域:

基因组学就是基因组学.
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:

线粒体DNA (mtDNA) 缺失与神经退行等疾病有关.
大量测序掩盖了特定于细胞类型的mtDNA突变模式.
单细胞分辨率对于理解mtDNA删除影响至关重要.

研究的目的:

开发一种方法,从单细胞RNA测序 (scRNA-seq) 数据中检测细胞类型特定的mtDNA删除.
在scRNA-seq数据中利用mtDNA读数的高丰度.
在单细胞分辨率下提供分析线粒体基因组改变的工具.

主要方法:

米托德尔塔管道使用敏感对齐和β-双项统计过.
分析读数按注释的单元类型聚合,以量化删除负担.
与现有工具进行基准测试,表现出卓越的性能.

主要成果:

MitoDelta准确地识别了从杂的scRNA-seq数据中删除mtDNA的情况.
量化了不同细胞群体的删除负担.
应用于帕金森病数据,揭示神经元亚型中的细胞类型特定的删除模式.

结论:

MitoDelta能够从scRNA-seq数据中进行转录组集成,细胞类型特定的mtDNA删除检测.
提供了重新分析公共数据集和研究线粒体变化的框架.
促进对细胞类型特异性疾病机制中mtDNA缺失的研究.

关键词:

删除变体删除变体线粒体DNA是线粒体的DNA.单细胞转录组学单细胞转录组学变体呼叫者的变体

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