Omics · dataset · 2024
Single-cell RNA Sequencing Analysis of Stem Cell-derived Beta Cells
Listed in DataCite
Diabetes cell replacement therapy has the potential to be transformed by human pluripotent stem cell-derived β cells (SC-β cells).
Description
However, the precise identity of SC-β cells in relationship to primary fetal and adult β-cells remains unclear. Here, we used single-cell sequencing datasets to characterize the transcriptional identity of islets from in vitro differentiation, fetal islets, and adult islets.
Our analysis revealed that SC-β cells share a core β-cell transcriptional identity with human adult and fetal β-cells, however SC-β cells possess a unique transcriptional profile characterized by the persistent expression and activation of progenitor and neural-biased gene networks. These networks are present in SC-β cells, irrespective of the derivation protocol used. Notably, fetal β-cells also exhibit this neural signature at the transcriptional level.
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Our findings offer insights into the transcriptional identity of SC-β cells and underscore the need for further investigation of the role of neural transcriptional networks in their development.
Links
Where it is published
- Repository landing page data.library.wustl.edu/record/103656 ↗
landing page · from DataCite
- DOI doi.org/10.7936/6rxs-103656 ↗
DOI / persistent id · from DataCite
Documentation and papers
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.7936/6rxs-103656 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.7936/6rxs-103656 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Basic medicine · Biological sciences · Health biotechnology · Health sciences
- From keywords
- Single-cell RNA sequencing
- Inferred from text
- RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.7936/6rxs-103656 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| byte_size | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:basic-medicine | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:biological-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:health-biotechnology | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:health-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[modality].local:modality:rna-seq | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['scRNA-seq'] |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |