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Single-cell RNA-sequencing analysis of the developing mouse inner ear identifies molecular logic of auditory neuron diversification
- 1.0559191 - BTÚ 2023 RIV GB eng J - Journal Article
Petitpre, Ch. - Faure, L. - Uhl, P. - Fontanet, P. - Filova, Iva - Pavlínková, Gabriela - Adameyko, I. - Hadjab, S. - Lallemend, F.
Single-cell RNA-sequencing analysis of the developing mouse inner ear identifies molecular logic of auditory neuron diversification.
Nature Communications. Roč. 13, č. 1 (2022), č. článku 3878. ISSN 2041-1723. E-ISSN 2041-1723
R&D Projects: GA ČR(CZ) GA20-06927S
Institutional support: RVO:86652036
Keywords : SPIRAL GANGLION NEURONS * HAIR-CELLS * DEVELOPMENTAL REGULATION
OECD category: Developmental biology
Impact factor: 16.6, year: 2022 ; AIS: 5.767, rok: 2022
Method of publishing: Open access
Result website:
https://www.nature.com/articles/s41467-022-31580-1DOI: https://doi.org/10.1038/s41467-022-31580-1
Different types of spiral ganglion neurons (SGNs) are essential for auditory perception by transmitting complex auditory information from hair cells (HCs) to the brain. Here, we use deep, single cell transcriptomics to study the molecular mechanisms that govern their identity and organization in mice. We identify a core set of temporally patterned genes and gene regulatory networks that may contribute to the diversification of SGNs through sequential binary decisions and demonstrate a role for NEUROD1 in driving specification of a I-c-SGN phenotype. We also find that each trajectory of the decision tree is defined by initial co-expression of alternative subtype molecular controls followed by gradual shifts toward cell fate resolution. Finally, analysis of both developing SGN and HC types reveals cell-cell signaling potentially playing a role in the differentiation of SGNs. Our results indicate that SGN identities are drafted prior to birth and reveal molecular principles that shape their differentiation and will facilitate studies of their development, physiology, and dysfunction.
Permanent Link: https://hdl.handle.net/11104/0332909
File Download Size Commentary Version Access Single-cell RNA-sequencing analysis of the.pdf 0 4.1 MB Author´s preprint open-access
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