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Dietary tyramine promotes colon cancer risk and development via increased DNA damage and enhanced inflammation [ApcMin/+]

GSE235264 Mus musculus (mouse) RNA-seq (gene expression) 69 samples Submitted 2025/03/05 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 69 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
69 samples: 69 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.
Paper
Roux-en-Y gastric bypass-associated fecal tyramine promotes colon cancer risk via increased DNA damage, cell proliferation, and inflammationMicrobiome · 2025
Summary (written by the submitters)
High consumption of dietary red or processed meat and fat are linked to increased risk of colorectal cancer (CRC). A number of potential mechanisms have been reported, such as the presence of dietary carcinogenic compounds, and elevated gut microbial degradation of proteins and glycoproteins. Tyramine is a commonly found biogenic amine in processed food and can also be produced by the gut microbiota from the dietary amino acid tyrosine.
Read the full summary ↓
The role of tyramine in intestinal mucosal health and CRC tumorigenesis has not been well studied. Therefore, we used the human colorectal HCT116 cell line and the ApcMin/+ mouse model to investigate the role of tyramine in CRC.
Published in
Roux-en-Y gastric bypass-associated fecal tyramine promotes colon cancer risk via increased DNA damage, cell proliferation, and inflammation
Glymenaki M, Curio S, Shrestha S et al. · Microbiome 2025 · PMID 40022152 · doi:10.1186/s40168-025-02049-2
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 GSE235264_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 PRJNA985636 and SRA study SRP445053. Searching any of these in the dataset finder brings you back here.

Study design
69 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 12 samples read as cases, 57 as controls.

How we read this: Read from 69 sample titles: 69 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

+ 29 more — browse all 69 samples with per-sample file links →

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.