← BioTransfer GEO Dataset Finder
GEO series

MicroRNA-150 controls experimental autoimmune encephalomyelitis by regulating CD4 T cell differentiation and function [RNA-seq II]

GSE227844 Mus musculus (mouse) RNA-seq (gene expression) 44 samples Submitted 2025/01/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 44 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
44 samples: 9 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)
MicroRNAs are small non-coding RNA molecules that fine-tune diverse biological processes and are often found to be dysregulated in diseases, such as multiple sclerosis (MS). MS is an immune-mediated disease of the central nervous system characterized by demyelination, axonal loss and neurodegeneration. We have previously shown microRNA-150 (miR-150) levels to be elevated in cell-free cerebrospinal fluid (CSF) of MS patients compared to controls.
Read the full summary ↓
We aimed to investigate the physiopathological function of miR-150 in vivo by generating miR-150 knock-out (KO) and knock-in (KI) mice using CRISPR/Cas9 technology. To specifically interrogate the role of miR-150 upon inflammation of the central nervous system (CNS), we induced experimental autoimmune encephalomyelitis (EAE), a mouse model for MS, in these newly generated mice. After induction of EAE, miR-150KO mice developed milder disease compared to WT littermate controls while miR-150KI mice presented with exacerbated EAE. Disease amelioration in miR-150KO was accompanied by decreased infiltration of CD4+ T cells in the central nervous system compared to WT and KI mice, as well as increased FoxP3+ regulatory T (Treg) cells in inguinal lymph nodes at disease priming stage. We demonstrated that Treg cells were fundamental for EAE amelioration in miR-150KO mice, as their partial depletion during EAE priming stage in miR-150KO FoxP3DTR mice restored disease incidence and severity to the levels observed in WT and KI mice. Transcriptomic profiling of CD4+ T cells isolated from miR-150KO mice revealed upregulation of genes associated with Treg cell function, but also reduced gene translation and autophagy, as compared to WT and particularly KI cells. The role of miR-150 in affecting the fate of CD4+ T cells was further supported by the grater tendency of miR-150KO CD4+ T cells to differentiate into Treg cells in-vitro. In conclusion, miR-150 deficiency favored considerably milder CNS inflammation by promoting differentiation of a more anti-inflammatory CD4+ T cell repertoire.
This dataset
Open GSE227844 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 GSE227844_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 PRJNA947165 and SRA study SRP428451. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
9 conditions, mostly with about 5 replicates each
Th0 WT ×5 Th1 WT ×5 Treg KI ×5 Th1 KO ×5 Treg WT ×5 Th0 KO ×5 Th1 KI ×5 Treg KO ×4 +2 more

Supports a between-group comparison across 43 samples.

How we read this: 9 replicated groups read from 44 sample titles; they account for 43 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

+ 4 more — browse all 44 samples with per-sample file links →

Datasets on a similar topic

Search all mouse 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.