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Effect of fatty acid synthesis inhibition in IL-17-producing gamma delta T (γδT17) cells upon psoriatic inflammation

GSE256512 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/02/20 Platform GPL24247
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: 12 samples, each with a distinct title — no replicated groupsGroups 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 reprogramming of interleukin-17-producing γδ T cells promotes ACC1-mediated de novo lipogenesis under psoriatic conditionsNature metabolism · 2025
Summary (written by the submitters)
γδ T cells represent the primary innate source of IL-17 (γδT17) and are known to play a critical role in autoimmune and inflammatory diseases such as psoriasis. We here reported that psoriatic condition (IL-1b and IL-23) reshaped γδT17 cell metabolic signatures and promoted cytokine expression levels compared to homeostatic condition (IL-7).
Read the full summary ↓
Acetyl-CoA carboxylase 1 (ACC1), a rate-limiting enzyme of fatty acid synthesis (FAS), directs the fate of IL-17-producing CD4 T cells (Th17) differentiation. However, little is known about the role of ACC1-mediated FAS in their innate IL-17-producer counterpart, γδT17 cells. We further investigated the role of FAS in γδT17 by comparing the effect of pharmacological inhibitor Soraphen A (SorA) on DMSO vehicle under psoriatic conditions (IL-1b and IL-23). Interestingly, ACC inhibition shifts the lipid metabolism in γδT17 cells, which allows them to cope with lipid demand without affecting cellular viability.
Published in
Metabolic reprogramming of interleukin-17-producing γδ T cells promotes ACC1-mediated de novo lipogenesis under psoriatic conditions
Kao YS, Lauterbach M, Lopez Krol A et al. · Nature metabolism 2025 · PMID 40360755 · doi:10.1038/s42255-025-01276-z
This dataset
Open GSE256512 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 GSE256512_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 PRJNA1079810 and SRA study SRP491433. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40360755) ↗
Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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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