首页|Reconstructing cell lineage trees with genomic barcoding:approaches and applications

Reconstructing cell lineage trees with genomic barcoding:approaches and applications

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In multicellular organisms,developmental history of cell divisions and functional annotation of terminal cells can be organized into a cell lineage tree(CLT).The reconstruction of the CLT has long been a major goal in developmental biology and other related fields.Recent technological advancements,especially those in editable genomic barcodes and single-cell high-throughput sequencing,have sparked a new wave of experimental methods for reconstructing CLTs.Here we review the existing experimental approaches to the reconstruction of CLT,which are broadly categorized as either image-based or DNA barcode-based methods.In addition,we present a summary of the related literature based on the biological insight pro-vided by the obtained CLTs.Moreover,we discuss the challenges that will arise as more and better CLT data become available in the near future.Genomic barcoding-based CLT reconstructions and analyses,due to their wide applicability and high scalability,offer the potential for novel biological discoveries,especially those related to general and systemic properties of the developmental process.

Cell lineage treeDevelopmental regulationBiotechnologyComputational biology

Zizhang Li、Wenjing Yang、Peng Wu、Yuyan Shan、Xiaoyu Zhang、Feng Chen、Junnan Yang、Jian-Rong Yang

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Advanced Medical Technology Center,The First Affiliated Hospital,Zhongshan School of Medicine,Sun Yat-sen University,Guangzhou,Guangdong 510080,China

Department of Genetics and Biomedical Informatics,Zhongshan School of Medicine,Sun Yat-sen University,Guangzhou,Guangdong 510080,China

Key Laboratory of Tropical Disease Control,Ministry of Education,Sun Yat-sen University,Guangzhou,Guangdong 510080,China

National Key Research and Development Program of ChinaNational Key Research and Development Program of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaScience and Technology Planning Project of Guangdong Province,China

2021YFF12009042021YFA130250032122022318713202014A030304053

2024

10.1016/j.jgg.2023.05.011

遗传学报
中国遗传学会 中国科学院遗传与发育生物学研究所

遗传学报

CSTPCD
影响因子：0.821
ISSN：1673-8527
年,卷(期)：2024.51(1)
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