A New Generation of Lineage Tracing Dynamically Records Cell Fate Choices

Overview

Journal Int J Mol Sci

Publisher MDPI

Specialties Biochemistry
Chemistry
Molecular Biology

Date 2022 May 14

PMID 35563412

Authors

Mingze Yao

Tinglin Ren

Yuanqing Pan

Xiaoqing Xue

Rong Li

Lei Zhang

Yuhang Li

Ke Huang

Affiliations

Soon will be listed here.

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.

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