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Next Generation Sequencing to evaluate effects of AhR in intestinal epithelial cells on intestine

GSE314205 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2026/08/03 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × Ahrfl/fl VillinCre−, Male, vs 4 × Ahrfl/fl VillinCre+, Male, vs 4 × Ahrfl/fl VillinCre−, Female, vs 4 × Ahrfl/fl VillinCre+, Female,Groups 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
Deficiency of the aryl hydrocarbon receptor in intestinal epithelial cells, but not hepatocytes, ameliorates atherosclerosis development by sex-dependently targeting the lipid metabolismAtherosclerosis · 2026
Summary (written by the submitters)
In this study, Ahr fl/fl control mice and AhR fl/fl Villin Cre+ mice were injected with PCSK9 overexpressing AAV8 particles and placed on a HFD for 12 weeks. Intestines from these mice were used to perform NGS analysis.
Published in
Deficiency of the aryl hydrocarbon receptor in intestinal epithelial cells, but not hepatocytes, ameliorates atherosclerosis development by sex-dependently targeting the lipid metabolism
Huchzermeier R, Rakateli L, Corcini-Berndt M et al. · Atherosclerosis 2026 · PMID 42526418 · doi:10.1016/j.atherosclerosis.2026.121857
This dataset
Open GSE314205 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE314205_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1390254 and SRA study SRP656096. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42526418) ↗
Study design
4 × Ahrfl/fl VillinCre−, Male, vs 4 × Ahrfl/fl VillinCre+, Male, vs 4 × Ahrfl/fl VillinCre−, Female, vs 4 × Ahrfl/fl VillinCre+, Female,

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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

Search all mouse RNA-seq datasets in GEO →

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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.