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Inter-individual variations in circadian misalignment-induced NAFLD pathophysiology in mice

GSE245519 Mus musculus (mouse) RNA-seq (gene expression) 41 samples Submitted 2024/04/03 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 41 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
41 samples: 23 × A vs 18 × LGroups are read from the sample names, not from the paper. Check the list below.
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
Inter-individual variations in circadian misalignment-induced NAFLD pathophysiology in miceiScience · 2024
Summary (written by the submitters)
Pathological consequences of circadian misalignment, such as shift work, show considerable individual differences, but the lack of mechanistic understanding hinders precision prevention to prevent and mitigate disease symptoms. Here, we employed an integrative approach involving physiological, transcriptional, and histological phenotypes to examine inter-individual differences in pathological progression during the pre-symptomatic stage, prior to the development of irreversible diseases under chronic circadian misalignment, using wild-type mice exposed to chronic jet-lag (CJL).
Read the full summary ↓
We observed that CJL markedly increased the prevalence of hepatic steatosis with pronounced inter-individual differences. Stratification of individual mice based on CJL-induced hepatic transcriptomic signature, validated by histopathological analysis, pinpoints dysregulation of lipid metabolism. Moreover, the period and power of intrinsic behavioral rhythms was found to significantly correlate with CJL-induced gene signatures. Together, our results suggest circadian rhythm robustness of the animals contribute to inter-individual variations in pathogenesis of circadian misalignment-induced diseases, and arise the possibility that these physiological indicators may be available for predictive hallmarks of circadian rhythm disorders.
Published in
Inter-individual variations in circadian misalignment-induced NAFLD pathophysiology in mice
Koike N, Umemura Y, Inokawa H et al. · iScience 2024 · PMID 38533453 · doi:10.1016/j.isci.2024.108934
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 GSE245519_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 PRJNA1028642 and SRA study SRP466628. Searching any of these in the dataset finder brings you back here.

Study design
23 × A vs 18 × L

Supports a between-group comparison across 41 samples.

How we read this: 2 replicated groups read from 41 sample titles; they account for 41 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study

+ 1 more — browse all 41 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.