Omics · study · 2026
Integrative single-cell multi-omics profiling of human pancreatic islets identifies T1D-associated genes and regulatory signals [single cell]
Listed in NCBI GEO
Genome-wide association studies (GWAS) have identified over 100 signals associated with type 1 diabetes (T1D).
Description
However, it has been challenging to translate any given T1D GWAS signal into mechanistic insights, such as causal variants, their target genes, and the specific cell types involved. Here, we present a comprehensive multi-omic integrative analysis of single-cell/nucleus resolution profiles of gene expression and chromatin accessibility in human pancreatic islets under baseline and T1D-stimulating conditions.
We nominate effector cell types for all T1D GWAS signals and the regulatory elements and genes for three independent T1D signals acting through beta cells at the DLK1/MEG3, RASGRP1, and TOX loci. We validated the functional impact of these genes and regulatory regions using isogenic human embryonic stem cells (hESCs). Loss of RASGRP1 or DLK1, as well as disruption of their corresponding regulatory regions, led to increased beta cell apoptosis, and beta cells derived from isogenic hESCs carrying the T1D risk allele of rs3783355 showed elevated beta cell death.
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Through additional RNA-seq and ATAC-seq analyses, we identified five genes upregulated in both RASGRP1-/- and DLK1-/- beta-like cells, four of which are near T1D GWAS signals.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE335nnn/GSE335464 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE335464 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1478579 ncbi.nlm.nih.gov/bioproject/PRJNA1478579 ↗
project · from NCBI GEO
- PubMed 40737125 pubmed.ncbi.nlm.nih.gov/40737125 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Genome binding/occupancy profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE335464 | 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[method].geo_series_type:genome-binding-occupancy-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 (65%) |
| 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 |