Omics · study · 2026
Protective IFIH1 variant reduces islet stress and dysfunction in a type 1 diabetes genetic background
Listed in NCBI GEO
Genome-wide association studies have identified IFIH1, which encodes the double-stranded RNA sensor MDA5, as a type 1 diabetes (T1D) risk locus.
Description
The IFIH1 E627* variant is associated with protection from T1D, whereas A946T is associated with increased risk. To examine how these variants influence islet responses to inflamattory and viral stress, we used CRISPR-Cas9 to engineer E627* or A946T into human pluripotent stem cells from a T1D donor and differentiated them into stem cell-derived islets (SC-islets).
SC-islets were exposed to IFNα, poly(I:C), or coxsackievirus B3 and analyzed by single-cell RNA sequencing and functional assays. E627* SC-islets compared to A946T displayed reduced inflammatory and stress responses with lower apoptosis, viral burden, mitochondrial dysfunction, and insulin secretory impairment. These findings support a protective role for IFIH1 E627* in human islet responses to inflammatory and viral stress and provide insight into genetic mechanisms potentially linked to T1D pathogenesis.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE318nnn/GSE318038 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE318038 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1416366 ncbi.nlm.nih.gov/bioproject/PRJNA1416366 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE318038 | 15 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:expression-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[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9606 | 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 |