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Adolescent circadian rhythm disruption increases reward and risk-taking

GSE282275 Mus musculus (mouse) RNA-seq (gene expression) 62 samples Submitted 2024/11/25 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 62 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
62 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Adolescent circadian rhythm disruption increases reward and risk-takingFrontiers in neuroscience · 2024
Summary (written by the submitters)
Circadian rhythm disturbances have long been associated with the development of psychiatric disorders, including mood and substance use disorders. Adolescence is a particularly vulnerable time for the onset of psychiatric disorders and for circadian rhythm and sleep disruptions. Preclinical studies have found that circadian rhythm disruption (CRD) impacts the brain and behavior, but this research is largely focused on adult disruptions.
Read the full summary ↓
Here, we sought to determine the long-term behavioral and neurobiological effects of CRD during early adolescence by exposing mice to 12 h shifts in the light/dark cycle. We hypothesized that adolescent CRD would have a greater effect on psychiatric-related behaviors, relative to adult disruption. To identify possible mechanisms, we also measured gene expression in brain regions relevant to circadian rhythms, mood and reward. We found that disruption during early adolescence, but not adulthood, persistently increased exploratory drive (risk-taking behavior) and cocaine preference when tested later in life. Interestingly, we found sex differences when intravenous cocaine self-administration was tested. While female mice with a history of adolescent CRD had a greater propensity to self-administer cocaine, as well as increased motivation and cue-induced reinstatement, male adolescent CRD mice had reduced motivation and extinction responding. Overall, adolescent CRD in mice caused persistent increases in risky behavior, cocaine reward and cocaine self-administration, which suggests that CRD during adolescence may predispose individuals towards substance use disorders. Importantly, we found that many transcripts were affected by adolescent CRD and these were largely distinct across sex and brain region. Future research is required to elucidate how adolescent CRD affects behaviors relevant to mood- and substance use-related disorders across the 24-hour day, as well as to identify intervention strategies to alleviate disruption during adolescence and novel therapeutic approaches once symptoms have begun.
Published in
Adolescent circadian rhythm disruption increases reward and risk-taking
DePoy LM, Vadnie CA, Petersen KA et al. · Frontiers in neuroscience 2024 · PMID 39737435 · doi:10.3389/fnins.2024.1478508
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE282275_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1188031 and SRA study SRP546154. Searching any of these in the dataset finder brings you back here.

Samples in this study

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