Omics · study · 2026
CRISPR Screening to Investigate Stem Cell-Derived Islets
Listed in NCBI GEO
Genetically engineering human pluripotent stem cell (hPSC)-derived islets is a promising strategy for improving transplantation for diabetes cell therapy.
Description
However, genetic perturbations for improving transplantation efficacy have yet to be elucidated. To identify potential targets, we performed an unbiased whole-genome CRISPR-activation screen in transplanted stem cell-derived islets (SC-islets).
We first created a stem cell line with CRISPR-activation components (HUES8-VPR). We transduced the HUES8-VPR stem cells with a lentiviral guide RNA library targeting the whole human genome. These transduced stem cells were differentiated into SC-islets, transplanted into NOD.Cg-PrkdcscidIl2rgtm1Wjl/SzJ (NSG) immunodeficient mice, and then extracted for next-generation sequencing.
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The screen identified multiple candidates, including the Fc alpha/mu receptor (FCAMR). In vitro characterization revealed that FCAMR overexpression did not negatively affect SC-islet function or transcriptomic identity. Mice transplanted with SC-islets overexpressing FCAMR had increased blood glucose levels and increased cpeptide compared to controls.
Furthermore, mice receiving FCAMR-modified grafts maintained a higher body weight compared to controls in a diabetic setting. Our study utilizes a screening approach to identify potential candidates for improving SC-islet therapies.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE305nnn/GSE305932 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE305932 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1308484 ncbi.nlm.nih.gov/bioproject/PRJNA1308484 ↗
project · from NCBI GEO
- PubMed 41886504 pubmed.ncbi.nlm.nih.gov/41886504 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Sequencing 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE305932 | 14 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:sequencing | 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 |