@article {Chen2020.07.15.203760, author = {Zhuoxin Chen and Chang Ye and Zhan Liu and Shanjun Deng and Xionglei He and Jin Xu}, title = {Lineage recording of zebrafish embryogenesis reveals historical and ongoing lineage commitments}, elocation-id = {2020.07.15.203760}, year = {2020}, doi = {10.1101/2020.07.15.203760}, publisher = {Cold Spring Harbor Laboratory}, abstract = {It has been challenging to characterize the lineage relationships among cells in vertebrates, which comprise a great number of cells. Fortunately, recent progress has been made by combining the CRISPR barcoding system with single-cell sequencing technologies to provide an unprecedented opportunity to track lineage at single-cell resolution. However, due to errors and/or dropouts introduced by amplification and sequencing, reconstruction of accurate lineage relationships in complex organisms remains a challenge. Thus, improvements in both experimental design and computational analysis are necessary for lineage inference. In this study, we employed single-cell Lineage tracing On Endogenous Scarring Sites (scLOESS), a lineage recording strategy based on the CRISPR-Cas9 system, to trace cell fate commitments for zebrafish larvae. With rigorous quality control, we demonstrated that lineage commitments of complex organisms could be inferred from a limited number of barcoding sites. Together with cell-type characterization, our method could homogenously recover lineage information. In combination with the cell-type and lineage information, we depicted the development histories for germ layers as well as cell types. Furthermore, when combined with trajectory analysis, our methods could capture and resolve the ongoing lineage commitment events to gain further biological insights into later development and differentiation in complex organisms.Competing Interest StatementThe authors have declared no competing interest.}, URL = {https://www.biorxiv.org/content/early/2020/07/15/2020.07.15.203760}, eprint = {https://www.biorxiv.org/content/early/2020/07/15/2020.07.15.203760.full.pdf}, journal = {bioRxiv} }