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A time-resolved single-cell roadmap of the logic driving anterior neural crest diversification from neural border to migration stages.

Authors :
Kotov, Aleksandr
Seal, Subham
Alkobtawi, Mansour
Kappès, Vincent
Medina Ruiz, Sofia
Arbès, Hugo
Harland, Richard M.
Peshkin, Leonid
Monsoro-Burq, Anne H.
Source :
Proceedings of the National Academy of Sciences of the United States of America; 5/7/2024, Vol. 121 Issue 19, p1-12, 46p
Publication Year :
2024

Abstract

Neural crest cells exemplify cellular diversification from a multipotent progenitor population. However, the full sequence of early molecular choices orchestrating the emergence of neural crest heterogeneity from the embryonic ectoderm remains elusive. Gene-regulatory-networks (GRN) govern early development and cell specification toward definitive neural crest. Here, we combine ultradense single-cell transcriptomes with machine-learning and large-scale transcriptomic and epigenomic experimental validation of selected trajectories, to provide the general principles and highlight specific features of the GRN underlying neural crest fate diversification from induction to early migration stages using Xenopus frog embryos as a model. During gastrulation, a transient neural border zone state precedes the choice between neural crest and placodes which includes multiple converging gene programs. During neurulation, transcription factor connectome, and bifurcation analyses demonstrate the early emergence of neural crest fates at the neural plate stage, alongside an unbiased multipotent-like lineage persisting until epithelial-mesenchymal transition stage. We also decipher circuits driving cranial and vagal neural crest formation and provide a broadly applicable high-throughput validation strategy for investigating single-cell transcriptomes in vertebrate GRNs in development, evolution, and disease. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
121
Issue :
19
Database :
Complementary Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
178011279
Full Text :
https://doi.org/10.1073/pnas.2311685121