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The effect of STING knockout on gene expression in cholestatic mice

GSE284373 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2025/10/01 Platform GPL24247
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: 5 × Sham_Wt vs 5 × Sham_KO vs 5 × BDL_Wt vs 5 × BDL_KOGroups 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)
STING has been identified to play a role in the onset and progression of various liver diseases.We aim to investigate whether STING mediates cholestatic liver injury. We here report that STING knockout significantly reversed cholestatic liver injury induced by bile duct ligation (BDL) and Mdr2 deficiency.
Read the full summary ↓
Mechanistically, BDL induced the enrichment of several signaling pathways, including those associated with programmed cell death in the liver, type I interferon, innate immune response, chemotaxis, inflammation, senescence, and extracellular matrix assembly, which were significantly reversed by STING knockdown.
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 GSE284373_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 PRJNA1198895 and SRA study SRP551804. Searching any of these in the dataset finder brings you back here.

Study design
5 × Sham_Wt vs 5 × Sham_KO vs 5 × BDL_Wt vs 5 × BDL_KO

Supports a between-group comparison across 20 samples.

How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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.