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

Aleksandr KotovSubham SealMansour AlkobtawiVincent KappèsSofia Medina RuizHugo ArbèsRichard M HarlandLeonid PeshkinAnne H Monsoro-Burq
Published in: Proceedings of the National Academy of Sciences of the United States of America (2024)
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.
Keyphrases
  • single cell
  • high throughput
  • rna seq
  • epithelial mesenchymal transition
  • machine learning
  • transcription factor
  • dna methylation
  • copy number
  • squamous cell carcinoma
  • genome wide
  • bone marrow
  • decision making