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单细胞动态谱系追踪记录发育过程。

Recording development with single cell dynamic lineage tracing.

机构信息

Department of Molecular and Systems Biology, Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, USA

Center for Cell and Genome Science, University of Utah, Salt Lake City, UT 84112, USA

出版信息

Development. 2019 Jun 27;146(12):dev169730. doi: 10.1242/dev.169730.

Abstract

Every animal grows from a single fertilized egg into an intricate network of cell types and organ systems. This process is captured in a lineage tree: a diagram of every cell's ancestry back to the founding zygote. Biologists have long sought to trace this cell lineage tree in individual organisms and have developed a variety of technologies to map the progeny of specific cells. However, there are billions to trillions of cells in complex organisms, and conventional approaches can only map a limited number of clonal populations per experiment. A new generation of tools that use molecular recording methods integrated with single cell profiling technologies may provide a solution. Here, we summarize recent breakthroughs in these technologies, outline experimental and computational challenges, and discuss biological questions that can be addressed using single cell dynamic lineage tracing.

摘要

每个动物都是由一个单一的受精卵发育而成的,它形成了一个错综复杂的细胞类型和器官系统网络。这个过程被记录在谱系树中:这是一张图表,记录了每个细胞的祖先后代,可以追溯到创始的合子。生物学家一直试图在单个生物体中追踪这个细胞谱系树,并开发了各种技术来绘制特定细胞后代的图谱。然而,在复杂的生物体中有数十亿到数万亿个细胞,传统的方法在每个实验中只能绘制有限数量的克隆群体。新一代的工具,将分子记录方法与单细胞分析技术相结合,可能提供了一种解决方案。在这里,我们总结了这些技术的最新突破,概述了实验和计算方面的挑战,并讨论了使用单细胞动态谱系追踪可以解决的生物学问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c2f/6602349/de8adc61a253/develop-146-169730-g1.jpg

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