Omics · study · 2026
Resolving human α versus β cell fate allocation for the generation of stem cell-derived islets
Listed in NCBI GEO
Stem cell-derived glucagon-(α) and insulin-producing (β) cells allow to engineer in vitro biomimetics of islet of Langerhans, the micro-organ controlling glycemia; however, a knowledge gap in the mechanism by which human stem cell-derived α and β cells are specified persists.
Description
Mouse studies postulated that Aristaless Related homeobox (Arx) and Paired box 4 (Pax4) transcription factors cross-inhibit each other in endocrine progenitors to promote α/β fate allocation, respectively.
To test this model in human, we combined lineage labeling with single-cell multiomic analysis in our newly generated ARXCFP/CFP; PAX4mCherry/mCherry knock-in induced pluripotent stem cell reporter line. Lineage tracing, proteomic and gene regulatory network analysis and potency assays revealed a human specific regulation of α/β cell fate allocation. Pharmacological perturbations previously proposed to trigger α-to-β transdifferentiation or identified by our gene regulatory network led to enhanced endocrine induction and directed α/β cell fate.
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Studying mechanisms of endocrinogenesis and fate segregation enables to engineer islets in vitro, and has broader implications for cell-replacement therapy, disease modelling and drug screening.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE264nnn/GSE264015 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE264015 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1100552 ncbi.nlm.nih.gov/bioproject/PRJNA1100552 ↗
project · from NCBI GEO
- PubMed 42426000 pubmed.ncbi.nlm.nih.gov/42426000 ↗
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
- Biochemistry and cell biology 71% · Disease 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE264015 | 13 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].anzsrc:group:3101 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (71%) |
| 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[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 |