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XB-ART-60712
Proc Natl Acad Sci U S A 2024 May 07;12119:e2311685121. doi: 10.1073/pnas.2311685121.
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A time-resolved single-cell roadmap of the logic driving anterior neural crest diversification from neural border to migration stages.

Kotov A , Seal S , Alkobtawi M , Kappès V , Ruiz SM , Arbès H , Harland RM , Peshkin L , Monsoro-Burq AH .


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.

PubMed ID: 38683994
PMC ID: PMC11087755
Article link: Proc Natl Acad Sci U S A
Grant support: [+]

Species referenced: Xenopus tropicalis Xenopus laevis
Genes referenced: c3 c9 cyp26c1 dlx2 dpt egr2 fn1 gjb1 grn hnf1b itga4 itga5 itk mafb mmp14 myc myl1 olig4 pax3 pou5f3.3 rpe65 snai2 sox2 sox9 tfap2a tfap2b tfap2c tfap2e tnc twist1 vim.2 zic1
GO keywords: neural crest cell development [+]
Morpholinos: pax3 MO1 tfap2e MO1


Article Images: [+] show captions
References [+] :
Albergante, Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph. 2020, Pubmed