谱系(遗传)
计算生物学
生物
谱系标记
染色质
遗传学
基因
表型
作者
Li Lin,Yufeng Zhang,Weizhou Qian,Yao Liu,Yingkun Zhang,Fanghe Lin,Cenxi Liu,Guangxing Lu,Di Sun,Xiaoxu Guo,Yanling Song,Jia Song,Chaoyong Yang,Jin Li
标识
DOI:10.1073/pnas.2119767119
摘要
Significance Lineage analysis is an important assay for developmental biology, cancer biology, etc. Traditional tools in this field are time consuming, technically challenging, and in demand of preexisting knowledge. By integrating exogenous barcodes into cells, single-cell RNA-sequencing (scRNA-seq) can be used to conduct such tasks, but these assays required significant expertise in both wet- and dry-laboratory experiments. We developed a user-friendly algorithm to conduct cell-lineage inference solely based on endogenous markers of label-free scRNA-seq. This algorithm is able to identify lineage-informative mutations from a bunch of interfering mitochondrial RNA variants with high accuracy and efficiency. With this algorithm, we removed most of the technical hurdles of lineage analysis on scRNA-seq and will dramatically accelerate its application in biological research.
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