Evidence map›Paper›PMID 39304885›Full record

ArticleMolecular brain2024

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

Kiki Chen, Kousha Changizi Ashtiani, Roudabeh Vakil Monfared, Pierre Baldi, Amal Alachkar

Abstract read
In one paragraph

Article in Molecular brain, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. CircadiOmics: bioinformatics platform for circadian rhythms.Bioinformatics (Oxford, England) · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kiki Chen *Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of California, 356A Med Surge II, Irvine, CA, 92697-4625, USA.
Kousha Changizi Ashtiani *Departments of Computer Science, School of Information and Computer Sciences, University of California, Irvine, CA, 92697-4625, USA.
Roudabeh Vakil MonfaredDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of California, 356A Med Surge II, Irvine, CA, 92697-4625, USA.
Pierre BaldiDepartments of Computer Science, School of Information and Computer Sciences, University of California, Irvine, CA, 92697-4625, USA. pfbaldi@uci.edu.
Amal AlachkarDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University of California, 356A Med Surge II, Irvine, CA, 92697-4625, USA. aalachka@uci.edu.

Funding

Bioinformatics Tools for Circadian BiologyR01GM123558 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI Pierre Baldi · 2017 to 2026
$2.4M
The roles of neuronal primary cilia in Alzheimer's diseaseR01HL147311 · NHLBI · CHAPMAN UNIVERSITY · PI NAULI, SURYA · 2020 to 2023
$2.1M
NHLBI NIH HHS R01 HL147311NIGMS NIH HHS R01 GM123558NIH HHS GM123558NIH HHS R01HL147311-04S1
6 · The paper itself

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.

Indexed as

BrainCiliaCircadian RhythmTranscriptomeAnimalsMaleMiceMice, Inbred C57BLBrainCiliaCircadianMouseNocturnalPhysiologyTranscriptome

Identifiers

PMID39304885
PMCPMC11414107

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.