Omics · study · 2026
Lysosomal dysfunction drives a transcriptional and epigenetic signature found in disease-associated microglia in neurodegenerative diseases [scRNA-seq, snRNA-seq]
Listed in NCBI GEO
Lysosomal dysfunction is causally linked to neurodegeneration in many lysosomal storage disorders and is associated with various age-related neurodegenerative diseases.
Description
Here, we investigated the question of underlying mechanisms using a mouse model of mucopolysaccharidosis type IIIA caused by deficiency of the lysosomal hydrolase SGSH. Systematic imaging and transcriptomic and epigenetic studies revealed microglia to be the most profoundly impacted cell type in brains of Sgsh-deficient mice.
Further investigation identified dominant and context-dependent roles of members of the MITF/TFE family as major drivers of microglia-specific epigenetic and transcriptional changes resulting from lysosomal stress that are dependent on collaborative interactions with AP-1/ATF, C/EBP, and PU.1/ETS transcription factors. Features of the transcriptomic and epigenetic alterations observed in murine Sgsh deficiency were also observed in microglia derived from mouse models of age-related neurodegeneration and in human Alzheimer's disease patients.
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These findings reveal common and disease-specific transcriptional mechanisms associated with disease-associated microglia phenotypes.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE278nnn/GSE278451 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE278451 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1167281 ncbi.nlm.nih.gov/bioproject/PRJNA1167281 ↗
project · from NCBI GEO
- PubMed 42546694 pubmed.ncbi.nlm.nih.gov/42546694 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Disease 75% · Imaging 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE278451 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:imaging | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |