Single cell tracing of Pomc neurons reveals recruitment of ‘Ghost’ subtypes with atypical identity in a mouse model of obesity - Computational Biology and Bioinformatics
Journal Articles Nature Communications Year : 2024

Single cell tracing of Pomc neurons reveals recruitment of ‘Ghost’ subtypes with atypical identity in a mouse model of obesity

Lukas Steuernagel
Nasim Biglari
  • Function : Author
Xavier Fioramonti
Jens Brüning

Abstract

The hypothalamus contains a remarkable diversity of neurons that orchestrate behavioural and metabolic outputs in a highly plastic manner. Neuronal diversity is key to enabling hypothalamic functions and, according to the neuroscience dogma, it is predetermined during embryonic life. Here, by combining lineage tracing of hypothalamic pro-opiomelanocortin (Pomc) neurons with single-cell profiling approaches in adult male mice, we uncovered subpopulations of ‘Ghost’ neurons endowed with atypical molecular and functional identity. Compared to ‘classical’ Pomc neurons, Ghost neurons exhibit negligible Pomc expression and are ‘ invisible’ to available neuroanatomical approaches and promoter-based reporter mice for studying Pomc biology. Ghost neuron numbers augment in diet-induced obese mice, independent of neurogenesis or cell death, but weight loss can reverse this shift. Our work challenges the notion of fixed, developmentally programmed neuronal identities in the mature hypothalamus and highlight the ability of specialised neurons to reversibly adapt their functional identity to adult-onset obesogenic stimuli.
Fichier principal
Vignette du fichier
41467_2024_Article_47877.pdf (2.84 Mo) Télécharger le fichier
Origin Publisher files allowed on an open archive
licence

Dates and versions

hal-04591277 , version 1 (18-11-2024)

Licence

Identifiers

Cite

Stéphane Leon, Vincent Simon, Thomas Lee, Lukas Steuernagel, Samantha Clark, et al.. Single cell tracing of Pomc neurons reveals recruitment of ‘Ghost’ subtypes with atypical identity in a mouse model of obesity. Nature Communications, 2024, 15 (1), pp.3443. ⟨10.1038/s41467-024-47877-2⟩. ⟨hal-04591277⟩
18 View
0 Download

Altmetric

Share

More