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用于高效体内谱系追踪和克隆多样性研究的DARLIN小鼠。

DARLIN mouse for in vivo lineage tracing at high efficiency and clonal diversity.

作者信息

Li Li, Bowling Sarah, Lin Hongying, Chen Daolong, Wang Shou-Wen, Camargo Fernando D

机构信息

Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.

School of Life Sciences, Westlake University, Hangzhou, China.

出版信息

Nat Protoc. 2025 Mar 21. doi: 10.1038/s41596-025-01141-z.

Abstract

Lineage tracing is a powerful tool to study cell history and cell dynamics during tissue development and homeostasis. An increasingly popular approach for lineage tracing is to generate high-frequent mutations at given genomic loci, which can serve as genetic barcodes to label different cell lineages. However, current lineage tracing mouse models suffer from low barcode diversity and limited single-cell lineage coverage. We recently developed the DARLIN mouse model by incorporating three barcoding arrays within defined genomic loci and combining Cas9 and terminal deoxynucleotidyl transferase (TdT) to improve editing diversity in each barcode array. We estimated that DARLIN generates 10 distinct lineage barcodes in theory, and enables the recovery of lineage barcodes in over 70% of cells in single-cell assays. In addition, DARLIN can be induced with doxycycline to generate stable lineage barcodes across different tissues at a defined stage. Here we provide a step-by-step protocol on applying the DARLIN system for in vivo lineage tracing, including barcode induction, estimation of induction efficiency, barcode analysis with bulk and single-cell sequencing, and computational analysis. The execution time of this protocol is ~1 week for experimental data collection and ~1 d for running the computational analysis pipeline. To execute this protocol, one should be familiar with sequencing library generation and Linux operation. DARLIN opens the door to study the lineage relationships and the underlying molecular regulations across various tissues at physiological context.

摘要

谱系追踪是研究组织发育和体内平衡过程中细胞历史和细胞动态的有力工具。一种越来越流行的谱系追踪方法是在给定的基因组位点产生高频突变,这些突变可以作为遗传条形码来标记不同的细胞谱系。然而,目前的谱系追踪小鼠模型存在条形码多样性低和单细胞谱系覆盖有限的问题。我们最近通过在定义的基因组位点内整合三个条形码阵列,并结合Cas9和末端脱氧核苷酸转移酶(TdT),开发了DARLIN小鼠模型,以提高每个条形码阵列中的编辑多样性。我们估计,DARLIN理论上能产生10种不同的谱系条形码,并能在单细胞分析中从超过70%的细胞中恢复谱系条形码。此外,DARLIN可以用强力霉素诱导,在特定阶段在不同组织中产生稳定的谱系条形码。在这里,我们提供了一个关于应用DARLIN系统进行体内谱系追踪的分步方案,包括条形码诱导、诱导效率评估、通过批量和单细胞测序进行条形码分析以及计算分析。该方案的执行时间为实验数据收集约1周,运行计算分析流程约1天。要执行该方案,应熟悉测序文库的构建和Linux操作。DARLIN为在生理背景下研究各种组织之间的谱系关系和潜在的分子调控打开了大门。

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