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Dicer deficient adult microglia negatively impacts the process of demyelination and remyelination

GSE263765 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/04/10 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 24 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
Dicer deficiency affects microglial function during demyelination and impairs remyelinationNeurobiology of disease · 2025
Summary (written by the submitters)
Microglia, the resident immune cells of the central nervous system (CNS), are important regulators of normal brain activities. In CNS demyelinating diseases like multiple sclerosis (MS), the functions of these cells are of particular interest.
Read the full summary ↓
Based on the observation of diminished Dicer positive microglia/macrophages number in demyelinating white matter lesions (WMLs) of human MS brains, here we probed the impact of impaired microRNA (miRNA)-mediated post-transcriptional gene regulation in a mouse model lacking microglia/macrophage-specific Dicer1 expression during demyelination and remyelination. Conditional Dicer1 ablation and loss of miRNAs expression in adult microglia led to extensive demyelination and impaired myelin processing. Interestingly, demyelination was accompanied by increased apoptosis of mature oligodendrocytes (OLs) and arresting oligodendrocyte progenitor cells (OPCs) in the precursor stage. At the transcriptional level, Dicer1-deficient microglia led to downregulation of microglial homeostatic genes, increased cell proliferation, and a shift towards a disease-associated phenotype. Loss of remyelination efficiency in these mice was accompanied by stalling of OPCs in the precursor stage. Collectively, finding from this study highlight a new role of microglial miRNAs in promoting a pro-regenerative phenotype in addition to promoting OPC maturation and differentiation during demyelination and remyelination.
Published in
Dicer deficiency affects microglial function during demyelination and impairs remyelination
Tripathi A, Rai NK, Perles A et al. · Neurobiology of disease 2025 · PMID 40120829 · doi:10.1016/j.nbd.2025.106879
This dataset
Open GSE263765 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 GSE263765_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 PRJNA1099194 and SRA study SRP501208. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40120829) ↗
Study design
24 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 24 sample titles: 24 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
Datasets on a similar topic

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