← BioTransfer GEO Dataset Finder
GEO series

Myeloid Cell Adhesion Molecule 1 (CADM1) promotes pro-inflammatory signaling in human Inflammatory Bowel Diseases

GSE304649 Homo sapiens (human) RNA-seq (gene expression) 59 samples Submitted 2025/10/11 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 59 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
Homo sapiens (human)
Samples
59 samples: 59 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
Myeloid Cell Adhesion Molecule 1 (CADM1) Promotes Proinflammatory Signaling in Human Inflammatory Bowel DiseasesCellular and molecular gastroenterology and hepatology · 2026
Summary (written by the submitters)
Cytotoxic T cells have been postulated to facilitate the destruction of intestinal epithelium in inflammatory bowel diseases (IBDs). CADM1, which encodes a membrane adhesion protein that can bind the T cell receptor CRTAM, was markedly up regulated in colon of IBD patients compared to non-IBD (NIBD) patients. We then identified CADM1 enrichment in multiple immune cell clusters including macrophages and dendritic cells in the colons of IBD patients.
Read the full summary ↓
Increased numbers of CADM1+ myeloid cells were measured adjacent to CD8+ T cells within colons of ulcerative colitis patients compared to NIBD patients. Conditional deletion of Cadm1 in myeloid cells resulted in reduced numbers of activated T cell populations and protected mice from chemical-induced colitis. Similarly, administration of a Cadm1 ‘neutralizing’ antibody which binds its extracellular domain reduced tissue inflammation and breakdown of the intestinal epithelium and crypts after induction of colitis in mice. Lastly, serum levels of sCADM1 were elevated in IBD patients compared to NIBD controls and treatment of LPMCs with recombinant sCADM1 enhanced inflammatory STAT3 phosphorylation. Therefore, we concluded that CADM1 is a mediator of pro-inflammatory signaling cascades in the colon and a potential therapeutic target for the IBDs.
Published in
Myeloid Cell Adhesion Molecule 1 (CADM1) Promotes Proinflammatory Signaling in Human Inflammatory Bowel Diseases
Darlington KC, Shumway AJ, Sona C et al. · Cellular and molecular gastroenterology and hepatology 2026 · PMID 40882838 · doi:10.1016/j.jcmgh.2025.101618
This dataset
Open GSE304649 in finder → Find more human 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 GSE304649_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 PRJNA1302204 and SRA study SRP606924. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40882838) ↗
Study design
59 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 59 sample titles: 59 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

+ 19 more — browse all 59 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.