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作 者:Zizhang Li Wenjing Yang Peng Wu Yuyan Shan Xiaoyu Zhang Feng Chen Junnan Yang Jian-Rong Yang
机构地区:[1]Advanced Medical Technology Center,The First Affiliated Hospital,Zhongshan School of Medicine,Sun Yat-sen University,Guangzhou,Guangdong 510080,China [2]Department of Genetics and Biomedical Informatics,Zhongshan School of Medicine,Sun Yat-sen University,Guangzhou,Guangdong 510080,China [3]Key Laboratory of Tropical Disease Control,Ministry of Education,Sun Yat-sen University,Guangzhou,Guangdong 510080,China
出 处:《Journal of Genetics and Genomics》2024年第1期35-47,共13页遗传学报(英文版)
基 金:supported by the National Key Research and Development Program of China(2021YFF1200904,2021YFA1302500 to J.-R.Y.);the National Natural Science Foundation of China(32122022,31871320 to J.-R.Y.);by Science and Technology Planning Project of Guangdong Province,China(2014A030304053 to X.Z.).
摘 要: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.
关 键 词:Cell lineage tree Developmental regulation BIOTECHNOLOGY Computational biology
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