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microRNA146a suppresses pancreatitis via cross-talk with NF-kB and ASC-containing inflammasomes

GSE320220 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2026/03/20 Platform GPL28457
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 20 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.
Summary (written by the submitters)
Acute pancreatitis (AP) is a potentially lethal pancreatic inflammatory disease with no effective therapeutic options. Here, we identify microRNA-146a (miR-146a) as a targetable potent negative regulator of pancreatic inflammatory responses and associated tissue damage. Genetic ablation of miR-146a in mice exacerbated cerulein-induced AP, evidenced by elevated inflammatory cell infiltrates and acinar cell death, the former associated with activated macrophage infiltrates and upregulation of cytokines (e.g.
Read the full summary ↓
IL-1b) and chemokines (e.g. CXCL2). RNA-seq analysis on cerulein-treated mouse pancreas tissues indicated that miR-146a deficiency upregulated molecular pathways for intrinsic apoptosis, actin cytoskeleton organisation and inflammation, while gene networks for mitochondrial function and cellular respiration were downregulated. .
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 GSE320220_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 PRJNA1427173 and SRA study SRP678771. Searching any of these in the dataset finder brings you back here.

Study design
20 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 20 sample titles: 20 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.