← BioTransfer GEO Dataset Finder
GEO series

Impact of the Multiple Sclerosis associated genetic variant CD226 Gly307Ser on human CD8 T cell functions

GSE266132 Homo sapiens (human) RNA-seq (gene expression) 80 samples Submitted 2024/09/13 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 80 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
80 samples: 80 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
Impact of the Multiple Sclerosis-Associated Genetic Variant CD226 Gly307Ser on Human CD8 T-Cell FunctionsNeurology(R) neuroimmunology & neuroinflammation · 2024
Summary (written by the submitters)
Background and Objectives: The rs763361 non-synonymous (Gly307Ser) variant in the CD226 gene has been identified as a risk factor for several immune-mediated diseases, including multiple sclerosis (MS). Compelling evidence suggests that this allele may be one of the genetic driving forces contributing to suceptibility to MS by decreasing the immune-regulatory capacity of Treg cells and increasing the pro-inflammatory potential of CD4 T cells.
Read the full summary ↓
However, the impact of this CD gene variant on CD8 T cell functions, a population that also plays a key role in MS, remain T to be determined. Methods: In order to study whether the CD226 risk variant affects human CD8 T cells functions, we used CD8 T cells isolated from PBMC of 16-age matched healthy donors homozygous for either the protective or risk allele of CD226. We characterized these CD8 T cells upon TCR stimulation using high-parametric flow cytometry, bulk RNAseq, and through characterization of canonical signaling pathways and cytokine production. Results: Upon TCR engagment, the phenotype of ex vivo CD8 T cells bearing the protective (CD226-307Gly) or the risk (CD226-307Ser) allele of CD226 was largely overlapping. However, transcriptomic signature of CD8 T cells from the donor carrying the risk allele presented an enrichment in TCR, JAK/STAT and INFg signaling.
Published in
Impact of the Multiple Sclerosis-Associated Genetic Variant CD226 Gly307Ser on Human CD8 T-Cell Functions
Morandi E, Adoue V, Bernard I et al. · Neurology(R) neuroimmunology & neuroinflammation 2024 · PMID 39231385 · doi:10.1212/NXI.0000000000200306
This dataset
Open GSE266132 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 GSE266132_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 PRJNA1105955 and SRA study SRP504685. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39231385) ↗
Study design
80 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 80 sample titles: 80 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

+ 40 more — browse all 80 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.