Omics · study · 2026
Astro- versus microglia-enriched transcriptomes from aged Atxn2-CAG100-knockin mice suggest underlying pathology of RNA processing at ribosomes, and possibly at U-bodies [tRNAseq]
Listed in NCBI GEO
Spinocerebellar Ataxia type 2 (SCA2) and Amyotrophic Lateral Sclerosis type 13 (ALS13) are triggered by polyglutamine expansion in Ataxin-2 (ATXN2).
Description
To understand these neurodegenerative disorders at the molecular level, the brains of 10-month-old Atxn2-CAG100-knockin mice were analyzed either as a whole or as microglial, astroglial (and neuronal) fractions via global RNA sequencing. Data was validated by comparison with spinal cord oligonucleotide microarray profile.
Here, glial fractions showed upregulation of Gpnmb (to 2082%), Cst7, Clec7a, Axl, Csf1, Lgals3, Lgals3bp, Slc11a1, and Usp18 as an unspecific neuroinflammatory signature, versus downregulation of the Nefh (to <19%), Scn4b, Camk2b, Rab15, and Grin1 synaptic mRNAs correlating with circuit disconnection. In all fractions, reductions of Kif5a, Rph3a, and Cplx1 were noted, versus disease-specific inductions of ribosomal subunits, presumably mirroring the partial loss-of-function of ATXN2 as RNA translation modulator.
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Glial tRNAs were also consistently upregulated. Selective accumulation of embryonic factors Rnu1b2 (8-fold) and Eef1a1 versus downregulation of adult Eef1a2, specify mutation impact on splicing and translation elongation. As a potential underpinning of toxic gain-of-functions, proteostasis factor Rnf213 was increased in all fractions.
These transcriptome data suggest altered spliceosome and ribosomal machinery, with massive microgliosis versus mild astrogliosis, at the core of SCA2 and ALS13. The quantity and quality of rRNA and U1 snRNA should be assessed next.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE319nnn/GSE319876 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE319876 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1425452 ncbi.nlm.nih.gov/bioproject/PRJNA1425452 ↗
project · from NCBI GEO
- PubMed 42041567 pubmed.ncbi.nlm.nih.gov/42041567 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Mus musculus · Non-coding RNA profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE319876 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:non-coding-rna-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |