A single-cell analysis of the molecular lineage of chordate embryogenesis Journal Article
| Authors: | Zhang, T.; Xu, Y.; Imai, K.; Fei, T.; Wang, G.; Dong, B.; Yu, T.; Satou, Y.; Shi, W.; Bao, Z. |
| Article Title: | A single-cell analysis of the molecular lineage of chordate embryogenesis |
| Abstract: | Progressive unfolding of gene expression cascades underlies diverse embryonic lineage development. Here, we report a single-cell RNA sequencing analysis of the complete and invariant embryonic cell lineage of the tunicate Ciona savignyi from fertilization to the onset of gastrulation. We reconstructed a developmental landscape of 47 cell types over eight cell cycles in the wild-type embryo and identified eight fate transformations upon fibroblast growth factor (FGF) inhibition. For most FGF-dependent asymmetric cell divisions, the bipotent mother cell displays the gene signature of the default daughter fate. In convergent differentiation of the two notochord lineages, we identified additional gene pathways parallel to the master regulator T/Brachyury Last, we showed that the defined Ciona cell types can be matched to E6.5-E8.5 stage mouse cell types and display conserved expression of limited number of transcription factors. This study provides a high-resolution single-cell dataset to understand chordate early embryogenesis and cell lineage differentiation. Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). |
| Journal Title: | Science Advances |
| Volume: | 6 |
| Issue: | 45 |
| ISSN: | 2375-2548 |
| Publisher: | Amer Assoc Advancement Science |
| Date Published: | 2020-11-01 |
| Start Page: | eabc4773 |
| Language: | English |
| DOI: | 10.1126/sciadv.abc4773 |
| PUBMED: | 33148647 |
| PROVIDER: | scopus |
| PMCID: | PMC7673699 |
| DOI/URL: | |
| Notes: | Article -- Export Date: 1 December 2020 -- Source: Scopus |
Altmetric
Citation Impact
BMJ Impact Analytics
Related MSK Work