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Circadian cilia transcriptome in mouse brain across physiological and pathological states.

Authors :
Chen, Kiki
Ashtiani, Kousha Changizi
Monfared, Roudabeh Vakil
Baldi, Pierre
Alachkar, Amal
Source :
Molecular Brain. 9/20/2024, Vol. 17 Issue 1, p1-15. 15p.
Publication Year :
2024

Abstract

Primary cilia are dynamic sensory organelles that continuously undergo structural modifications in response to environmental and cellular signals, many of which exhibit rhythmic patterns. Building on our previous findings of rhythmic cilia-related gene expression in diurnal primates (baboon), this study extends the investigation to the nocturnal mouse brain to identify circadian patterns of cilia gene expression across brain regions. We used computational techniques and transcriptomic data from four publicly available databases, to examine the circadian expression of cilia-associated genes within six brain areas: brainstem, cerebellum, hippocampus, hypothalamus, striatum, and suprachiasmatic nucleus. Our analysis reveals that a substantial proportion of cilia transcripts exhibit circadian rhythmicity across the examined regions, with notable overrepresentation in the striatum, hippocampus, and cerebellum. We also demonstrate region-specific variations in the abundance and timing of circadian cilia genes' peaks, indicating an adaptation to the distinct physiological roles of each brain region. Additionally, we show that the rhythmic patterns of cilia transcripts are shifted under various physiological and pathological conditions, including modulation of the dopamine system, high-fat diet, and epileptic conditions, indicating the adaptable nature of cilia transcripts' oscillation. While limited to a few mouse brain regions, our study provides initial insights into the distinct circadian patterns of cilia transcripts and highlights the need for future research to expand the mapping across wider brain areas to fully understand the role of cilia's spatiotemporal dynamics in brain functions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17566606
Volume :
17
Issue :
1
Database :
Academic Search Index
Journal :
Molecular Brain
Publication Type :
Academic Journal
Accession number :
179789678
Full Text :
https://doi.org/10.1186/s13041-024-01143-0