Mapping single-cell-resolution cell phylogeny reveals cell population dynamics during organ development
Liu Kehui, Deng Shanjun, Ye Chang, Yao Zeqi, Wang Jianguo, Gong Han, Liu Li, He Xionglei
Journal:NATURE METHODS
IF:28.55
DOI:10.1038/s41592-021-01325-x
PMID:34857936
Published:2021-12-02
research field:药物递送系统免疫疗法癌症研究药学
Abstract
Mapping the cell phylogeny of a complex multicellular organism relies on somatic mutations accumulated from zygote to adult. Available cell barcoding methods can record about three mutations per barcode, enabling only low-resolution mapping of the cell phylogeny of complex organisms. Here we developed SMALT, a substitution mutation-aided lineage-tracing system that outperforms the available cell barcoding methods in mapping cell phylogeny. We applied SMALT to Drosophila melanogaster and obtained on average more than 20 mutations on a three-kilobase-pair barcoding sequence in early-adult cells. Using the barcoding mutations, we obtained high-quality cell phylogenetic trees, each comprising several thousand internal nodes with 84–93% median bootstrap support. The obtained cell phylogenies enabled a population genetic analysis that estimates the longitudinal dynamics of the number of actively dividing parental cells (Np) in each organ through development. The Np dynamics revealed the trajectory of cell births and provided insight into the balance of symmetric and asymmetric cell division.
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