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CBP/p300 deficiency induces the loss of functional pancreatic α cell mass

GSE324884 Mus musculus (mouse) RNA-seq (gene expression) 2 samples Submitted 2026/06/18 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 2 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
2 samples
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
CBP/p300 is critical for the expansion and maintenance of functional pancreatic α cell massNature communications · 2026
Summary (written by the submitters)
Pancreatic α cell senses amino acid availability to adjust secretion function and proliferation, yet the underlying molecular mechanisms remain unclear. Here, α cell-specific deletion of CBP/p300 in mice leads to hypoglucagonemia and hyperaminoacidemia, along with decreased functional pancreatic α cell mass due to impaired cell proliferation, dedifferentiation, and cell loss.
Read the full summary ↓
The knockout of CBP/p300 blocks glucagon receptor antibody-stimulated α cell proliferation and mTORC1 signaling in mice. These findings uncover a critical role for CBP/p300 in the maintenance of α cell identity and function.
Published in
CBP/p300 is critical for the expansion and maintenance of functional pancreatic α cell mass
Wang S, Li T, Sheng C et al. · Nature communications 2026 · PMID 41965878 · doi:10.1038/s41467-026-71499-5
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 GSE324884_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 PRJNA1438047 and SRA study SRP684005. Searching any of these in the dataset finder brings you back here.

Samples in this study

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