转录组
生物
核糖核酸
单细胞分析
线粒体DNA
计算生物学
DNA测序
细胞
单细胞测序
深度测序
DNA
遗传学
突变
基因
基因组
基因表达
外显子组测序
作者
Tyler E. Miller,Caleb A. Lareau,Julia A. Verga,Erica A. K. DePasquale,Vincent Liu,Daniel Ssozi,Katalin Sándor,Yajie Yin,Leif S. Ludwig,Chadi El Farran,Duncan M. Morgan,Ansuman T. Satpathy,Gabriel K. Griffin,Andrew A. Lane,J. Christopher Love,B Bernstein,Vijay G. Sankaran,Peter van Galen
标识
DOI:10.1038/s41587-022-01210-8
摘要
The combination of single-cell transcriptomics with mitochondrial DNA variant detection can be used to establish lineage relationships in primary human cells, but current methods are not scalable to interrogate complex tissues. Here, we combine common 3' single-cell RNA-sequencing protocols with mitochondrial transcriptome enrichment to increase coverage by more than 50-fold, enabling high-confidence mutation detection. The method successfully identifies skewed immune-cell expansions in primary human clonal hematopoiesis.
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