Schmidt Stephanie Tzouanas, Zimmerman Stephanie M, Wang Jianbin, Kim Stuart K, Quake Stephen R
Department of Bioengineering, Stanford University , Stanford, California 94305, United States.
Department of Genetics, Stanford University , Stanford, California 94305, United States.
ACS Synth Biol. 2017 Jun 16;6(6):936-942. doi: 10.1021/acssynbio.6b00309. Epub 2017 Mar 10.
Lineage tracing by the determination and mapping of progeny arising from single cells is an important approach enabling the elucidation of mechanisms underlying diverse biological processes ranging from development to disease. We developed a dynamic sequence-based barcode system for synthetic lineage tracing and have demonstrated its performance in C. elegans, a model organism whose lineage tree is well established. The strategy we use creates lineage trees based upon the introduction of synthetically controlled mutations into cells and the propagation of these mutations to daughter cells at each cell division. We analyzed this experimental proof of concept along with a corresponding simulation and analytical model to gain a deeper understanding of the coding capacity of the system. Our results provide specific bounds on the fidelity of lineage tracing using such approaches.
通过确定和绘制单细胞产生的后代来进行谱系追踪,是一种重要的方法,能够阐明从发育到疾病等各种生物过程背后的机制。我们开发了一种基于动态序列的条形码系统用于合成谱系追踪,并已在秀丽隐杆线虫(一种谱系树已明确建立的模式生物)中展示了其性能。我们使用的策略是通过将合成控制的突变引入细胞,并在每次细胞分裂时将这些突变传递给子细胞来创建谱系树。我们分析了这个概念验证实验以及相应的模拟和分析模型,以更深入地了解该系统的编码能力。我们的结果为使用此类方法进行谱系追踪的保真度提供了具体界限。