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Single-cell lineage tracing approaches to track kidney cell development and maintenance

追踪 谱系(遗传) 计算生物学 生物 细胞谱系 磁道(磁盘驱动器) 计算机科学 细胞 细胞分化 遗传学 基因 操作系统
作者
Baul Yoon,Hayoung Kim,Su Woong Jung,Jihwan Park
出处
期刊:Kidney International [Elsevier BV]
卷期号:105 (6): 1186-1199 被引量:12
标识
DOI:10.1016/j.kint.2024.01.045
摘要

The kidney is a complex organ consisting of various cell types. Previous studies have aimed to elucidate the cellular relationships among these cell types in developing and mature kidneys using Cre-loxP-based lineage tracing. However, this methodology falls short of fully capturing the heterogeneous nature of the kidney, making it less than ideal for comprehensively tracing cellular progression during kidney development and maintenance. Recent technological advancements in single-cell genomics have revolutionized lineage tracing methodologies. Single-cell lineage tracing enables the simultaneous tracing of multiple cell types within complex tissues and their transcriptomic profiles, thereby allowing for the reconstruction of their lineage tree with cell state information. While single-cell lineage tracing has been successfully applied to investigate cellular hierarchies in various organs and tissues, its application in kidney research is currently lacking. This review comprehensively consolidates the single-cell lineage tracing methodologies, divided into four categories (CRISPR/Cas9-based, transposon-based, Polylox-based, and native barcoding methods), and outlines their technical advantages and disadvantages. Furthermore, we propose potential future research topics in kidney research that could benefit from single-cell lineage tracing and suggest suitable technical strategies to apply to these topics.
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