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RNA-sequencing analysis of colon RNA from mice with compound mutations of XBP1, caspase-8, TNFR1 and MLKL.

GSE244320 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2025/08/20 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples: 6 conditions, mostly with about 5 replicates eachGroups 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)
To purpose of this study was to assess how intestinal epithelial cell (IEC)-specific ablation of XBP1 or caspase-8 alone or in combination affected mucosal immune homeostastis and inflammation, and the role of TNFR1 and MLKL in the associated phenotypes. First, expression of colonic RNA from mice with combined IEC-specific XBP1 and caspase-8 ablation (Xbp1IEC-KO Casp8IEC-KO) was compared with Casp8IEC-KO, Xbp1IEC-KO, and wild-type mice.
Read the full summary ↓
In addition, Xbp1IEC-KO Casp8IEC-KO Mlkl-/- and Xbp1IEC-KO Casp8IEC-KO Tnfr1IEC-KO mice were compared with Xbp1IEC-KO Casp8IEC-KO, Casp8IEC-KO, Xbp1IEC-KO as well as wild-type control mice. For each mouse line 5 individual mice were analysed.
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 GSE244320_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 PRJNA1022402 and SRA study SRP463838. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly with about 5 replicates each
Casp8IEC-KO, ×5 XBP1IEC-KO;Casp8IEC-KO;TNFR1IEC-KO, ×5 XBP1IEC-KO, ×5 XBP1IEC-KO;Casp8IEC-KO, ×5 XBP1IEC-KO;Casp8IEC-KO;MLKLKO, ×5 WT, ×5

Supports a between-group comparison across 30 samples.

How we read this: 6 replicated groups read from 30 sample titles; they account for 30 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
Datasets on a similar topic

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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.