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Chronic sleep deprivation promotes experimental autoimmune uveitis through STAT1 phosphorylation, ISG15 expression and enhanced pathogenicity of macrophages

GSE284505 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/12/22 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × Healthy Control vs 3 × Chronic sleep deprivation treatment for 4 weeks vs 3 × Using IRBP peptide and CFA for 2 weeks vs 3 × Using IRBP peptide and CFA for an additional 2 weeks, followed with CSD for 4 weekGroups 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.
Summary (written by the submitters)
Autoimmune uveitis (AU) is a severe intraocular inflammatory disease driven by dysregulated T-cell immunity and macrophage activation, leading to retinal tissue damage. Experimental autoimmune uveitis (EAU), an animal model, closely mimics human AU, highlighting the role of macrophages in inflammation and immune regulation. Chronic sleep deprivation (CSD), caused by prolonged circadian rhythm disruption, further exacerbates immune dysfunction by activating microglia and enhancing inflammation.
Read the full summary ↓
This study investigates the combined impact of EAU and CSD on retinal transcriptomics, focusing on immune and inflammatory pathways, providing insights into the interaction between circadian rhythm disruptions and autoimmune uveitis progression.
This dataset
Open GSE284505 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE284505_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1198856 and SRA study SRP551710. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × Healthy Control vs 3 × Chronic sleep deprivation treatment for 4 weeks vs 3 × Using IRBP peptide and CFA for 2 weeks vs 3 × Using IRBP peptide and CFA for an additional 2 weeks, followed with CSD for 4 week

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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
Datasets on a similar topic

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