← Search

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.

Read the rest (1 more)

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

Catalogue records · 2

Topics

Inferred from text
RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
DataCite10.7936/6rxs-10365615 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
byte_sizesource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:basic-medicinesource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:biological-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:health-biotechnologysource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:health-sciencessource · DataCiteconnector:datacite@1.0.0
concepts[modality].local:modality:rna-seqenrichment · DataCitekeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:sequencingenrichment · DataCitekeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:single-cell-rna-seqmapping · DataCitevocabulary-mapper@1.0.0keywords['scRNA-seq']
descriptionsource · DataCiteconnector:datacite@1.0.0/data/attributes/descriptions
licensesource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
publication_datesource · DataCiteconnector:datacite@1.0.0/data/attributes/dates
titlesource · DataCiteconnector:datacite@1.0.0/data/attributes/titles/0/title