A low-level Cdkn1c/p57kip2 expression in spinal progenitors drives the transition from proliferative to neurogenic modes of division

During vertebrate neurogenesis, a transition from symmetric proliferative to asymmetric neurogenic divisions is critical to balance growth and differentiation. Using single-cell RNA-seq data from the chick embryonic neural tube, we identify the cell cycle regulator Cdkn1c as a key regulator of this transition. While Cdkn1 is classically associated with neuronal cell cycle exit, we show that its expression initiates at low levels in neurogenic progenitors. Functionally targeting the onset of this expression impacts the course of neurogenesis: Cdkn1c knockdown impairs neuron production by favoring proliferative symmetric divisions. Conversely, inducing a low-level Cdkn1c misexpression in self-expanding progenitors forces them to prematurely undergo neurogenic divisions. Cdkn1c exerts this effect primarily by inhibiting the CyclinD1-CDK4/6 complex and G1 phase lengthening. We propose that Cdkn1c acts as a dual driver of the neurogenic transition whose low level of expression first controls the progressive entry of progenitors into neurogenic modes of division before higher expression mediates cell cycle exit in daughter cells. This highlights that the precise control of neurogenesis regulators' expression sequentially imparts distinct functions essential for proper neural development.

Authors

Institutions

Publication Details

Journal
EMBO Reports
Published
2025-12-08
DOI
https://doi.org/10.1038/s44319-025-00653-9
Citations
1
Primary Topic
Neurogenesis and neuroplasticity mechanisms
Type
article
Field-Weighted Citation Impact
1.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A low-level Cdkn1c/p57kip2 expression in spinal progenitors drives the transition from proliferative to neurogenic modes of division

Isabelle Barbosa, Evelyne Fischer, Kamal Bouhali, Xavier Morin et al.
1 citations
EMBO Reports
Neurogenesis and neuroplasticity mechanisms
1.32
article

A low-level Cdkn1c/p57kip2 expression in spinal progenitors drives the transition from proliferative to neurogenic modes of division

Isabelle Barbosa, Evelyne Fischer, Kamal Bouhali, Xavier Morin, Morgane Thomas‐Chollier, Hervé Le Hir, Rosette Goïame, Nathalie Lehmann, Baptiste Mida, Fanny Coulpier
article en
1 citations

Abstract

During vertebrate neurogenesis, a transition from symmetric proliferative to asymmetric neurogenic divisions is critical to balance growth and differentiation. Using single-cell RNA-seq data from the chick embryonic neural tube, we identify the cell cycle regulator Cdkn1c as a key regulator of this transition. While Cdkn1 is classically associated with neuronal cell cycle exit, we show that its expression initiates at low levels in neurogenic progenitors. Functionally targeting the onset of this expression impacts the course of neurogenesis: Cdkn1c knockdown impairs neuron production by favoring proliferative symmetric divisions. Conversely, inducing a low-level Cdkn1c misexpression in self-expanding progenitors forces them to prematurely undergo neurogenic divisions. Cdkn1c exerts this effect primarily by inhibiting the CyclinD1-CDK4/6 complex and G1 phase lengthening. We propose that Cdkn1c acts as a dual driver of the neurogenic transition whose low level of expression first controls the progressive entry of progenitors into neurogenic modes of division before higher expression mediates cell cycle exit in daughter cells. This highlights that the precise control of neurogenesis regulators' expression sequentially imparts distinct functions essential for proper neural development.

EMBO ReportsVol. 27(2)
Centre National de la Recherche Scientifique (FR), Inserm (FR), Institut Universitaire de France (FR), École Normale Supérieure - PSL (FR), Sorbonne Université (FR), Institut de Biologie de l'École Normale Supérieure (FR)
Openalex Percentile: Top 14%
Neurogenesis and neuroplasticity mechanisms
1.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.