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Epithelial-Immune Metabolic Codependency Fuels Inflammatory Disease

GSE237772 Mus musculus (mouse) RNA-seq (gene expression) 38 samples Submitted 2024/04/01 Platform GPL24247Platform GPL24676
At a glance

RNA-seq (gene expression) · mouse · 38 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
38 samples: 8 conditions, mostly with about 4 replicates eachGroups 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
Metabolic coordination between skin epithelium and type 17 immunity sustains chronic skin inflammationImmunity · 2024
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Metabolic coordination between skin epithelium and type 17 immunity sustains chronic skin inflammation
Subudhi I, Konieczny P, Prystupa A et al. · Immunity 2024 · PMID 38772365 · doi:10.1016/j.immuni.2024.04.022
This dataset
Open GSE237772 in finder → Find more 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 GSE237772_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 PRJNA996582 and SRA study SRP450389. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38772365) ↗
Study design
8 conditions, mostly with about 4 replicates each
Imiquimod-treated WT murine skin, ×6 Psoriatic lesional skin, vehicle control, ×5 Imiquimod-treated HIF1⍺-epithelial specific K… ×5 Healthy skin, vehicle control, ×4 Psoriatic lesional skin, HIF1⍺ inhibitor, ×4 Psoriatic lesional skin, Standard of care, ×4 Healthy skin, HIF1⍺ inhibitor, ×3 Healthy skin, Standard of care, ×3 +4 more

Supports a case/control comparison: 17 samples read as cases, 10 as controls.

How we read this: 8 replicated groups read from 38 sample titles; they account for 34 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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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.