REVIEW

Connecting past and present: single-cell lineage tracing

  • Cheng Chen 1 ,
  • Yuanxin Liao 1,4 ,
  • Guangdun Peng , 1,2,3
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  • 1. Center for Cell Lineage and Development, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
  • 2. Center for Cell Lineage and Atlas, Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou 510005, China
  • 3. Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
  • 4. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 03 Dec 2021

Accepted date: 06 Mar 2022

Published date: 15 Nov 2022

Copyright

2022 The Author(s)

Abstract

Central to the core principle of cell theory, depicting cells’ history, state and fate is a fundamental goal in modern biology. By leveraging clonal analysis and single-cell RNA-seq technologies, single-cell lineage tracing provides new opportunities to interrogate both cell states and lineage histories. During the past few years, many strategies to achieve lineage tracing at single-cell resolution have been developed, and three of them (integration barcodes, polylox barcodes, and CRISPR barcodes) are noteworthy as they are amenable in experimentally tractable systems. Although the above strategies have been demonstrated in animal development and stem cell research, much care and effort are still required to implement these methods. Here we review the development of single-cell lineage tracing, major characteristics of the cell barcoding strategies, applications, as well as technical considerations and limitations, providing a guide to choose or improve the single-cell barcoding lineage tracing.

Cite this article

Cheng Chen , Yuanxin Liao , Guangdun Peng . Connecting past and present: single-cell lineage tracing[J]. Protein & Cell, 2022 , 13(11) : 790 -807 . DOI: 10.1007/s13238-022-00913-7

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