A New Generation of Lineage Tracing Dynamically Records Cell Fate Choices
Mingze Yao, Tinglin Ren, Yuanqing Pan, Xiaoqing Xue, Rong Li, Lei Zhang, Yuhang Li, Ke Huang
Abstract
Reconstructing the development of lineage relationships and cell fate mapping has been a fundamental problem in biology. Using advanced molecular biology and single-cell RNA sequencing, we have profiled transcriptomes at the single-cell level and mapped cell fates during development. Recently, CRISPR/Cas9 barcode editing for large-scale lineage tracing has been used to reconstruct the pseudotime trajectory of cells and improve lineage tracing accuracy. This review presents the progress of the latest CbLT (CRISPR-based Lineage Tracing) and discusses the current limitations and potential technical pitfalls in their application and other emerging concepts.