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HFD-inducued metabolic syndrome is promoted by JNK7b isoform [Liver_RNAseq]

GSE278155 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2026/02/27 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 16 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
Mutually exclusive alternative pre-mRNA splicing promotes adaptive metabolic stress signaling by JNKProceedings of the National Academy of Sciences of the United States of America · 2026
Summary (written by the submitters)
The JUN NH2-terminal kinase (JNK) signal transduction pathway is activated during the hepatic metabolic stress response. The pre-mRNAs expressed by the Mapk8 and Mapk9 genes (encode JNK1 and JNK2) in hepatocytes exhibit mutually exclusive inclusion exons 7a or 7b that encode a segment of the substrate binding site that is required for selective protein phosphorylation.
Read the full summary ↓
We established mice with conditional inclusion of exons 7a / 7b to test the function of JNK spliceoforms. We report that the JNK27b spliceoform plays a key role in the hepatic metabolic stress response by suppressing signaling by the nuclear hormone receptor PPARa. This function of JNK27b is mediated by an integrated mechanism involving circadian dysfunction and the phosphorylation of the PPARa partner protein RXRa on Ser265. Our analysis identifies a key role for a specific JNK spliceoform in the hepatic adaptive response to metabolic stress.
Published in
Mutually exclusive alternative pre-mRNA splicing promotes adaptive metabolic stress signaling by JNK
Lee A, Gentzler A, Fitzpatrick D et al. · Proceedings of the National Academy of Sciences of the United States of America 2026 · PMID 41843681 · doi:10.1073/pnas.2527162123
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 GSE278155_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 PRJNA1165768 and SRA study SRP535033. Searching any of these in the dataset finder brings you back here.

Study design
16 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 16 sample titles: 16 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
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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.