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绘制单细胞分辨率的细胞系统发育图谱揭示了器官发育过程中细胞群体的动态变化。

Mapping single-cell-resolution cell phylogeny reveals cell population dynamics during organ development.

机构信息

MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.

出版信息

Nat Methods. 2021 Dec;18(12):1506-1514. doi: 10.1038/s41592-021-01325-x. Epub 2021 Dec 2.

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.

摘要

绘制复杂多细胞生物的细胞系统发育图依赖于从受精卵到成年的体细胞突变积累。现有的细胞条形码方法可以记录每个条形码大约三个突变,这使得复杂生物的细胞系统发育的低分辨率作图成为可能。在这里,我们开发了 SMALT,一种取代突变辅助谱系追踪系统,在绘制细胞系统发育图方面优于现有的细胞条形码方法。我们将 SMALT 应用于果蝇,并在成年早期细胞的三kbp 条形码序列上平均获得了 20 多个突变。利用条形码突变,我们获得了高质量的细胞系统发育树,每个树都包含数千个内部节点,中位数自举支持率为 84-93%。获得的细胞系统发育图使我们能够进行群体遗传分析,通过发育来估计每个器官中活跃分裂的亲代细胞(Np)的数量的纵向动态。Np 动态揭示了细胞出生的轨迹,并深入了解了对称和不对称细胞分裂之间的平衡。

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