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Comparative gene expression profiling of RNA-seq data from islets of β-cell-specific ZZEF1 knockout mice (βZKO-Mip) and their littermate controls, treated with either azoramide or DMSO.

GSE288210 Mus musculus (mouse) RNA-seq (gene expression) 11 samples Submitted 2025/09/22 Platform GPL28330
At a glance

RNA-seq (gene expression) · mouse · 11 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
11 samples: 3 × βZKO_Mip Azoramide vs 3 × control Azoramide vs 2 × control DMSOGroups 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
Single-cell perturbations decipher ribosomal stress-surveillance regulators in type 2 diabetesNature metabolism · 2026
Summary (written by the submitters)
To investigate the global molecular mechanisms underlying the phenotype induced by ZZEF1 loss in pancreatic β-cells and subsequent treatment with azoramide, we isolated pancreatic islets from β-cell-specific ZZEF1 knockout mice (βZKO-Mip) and their littermate controls. Both groups were fed a HFD for four weeks and treated with either azoramide (10 µM) or DMSO (10 µM) for 24 hours.
Published in
Single-cell perturbations decipher ribosomal stress-surveillance regulators in type 2 diabetes
Nan J, He X, Liu X et al. · Nature metabolism 2026 · PMID 41482566 · doi:10.1038/s42255-025-01407-6
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 GSE288210_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 PRJNA1216579 and SRA study SRP560468. Searching any of these in the dataset finder brings you back here.

Study design
3 × βZKO_Mip Azoramide vs 3 × control Azoramide vs 2 × control DMSO

Supports a between-group comparison across 8 samples.

How we read this: 3 replicated groups read from 11 sample titles; they account for 8 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
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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.