Dataset Information

Charting in vitro beta cell differentiation by single cell RNA sequencing

ABSTRACT: In vitro differentiation of human stem cells can produce pancreatic beta cells, the insulin-secreting cell type whose loss underlies Type 1 Diabetes. As a step towards mastery of this process, we report on transcriptional profiling of >100,000 individual cells sampled during in vitro beta cell differentiation and describe the cells that emerge. We resolve populations corresponding to beta cells, alpha-like poly-hormonal cells, non-endocrine cells that resemble pancreatic exocrine cells and a previously unreported population resembling enterochromaffin cells. We show that the beta and alpha-like cells are stable for weeks in culture without exogenous growth factors and that gene expression changes associated with in vivo beta cell maturation are recapitulated in vitro. We demonstrate that stem-cell derived enterochromaffin cells can synthesize and secrete serotonin in vitro. To remove exocrine cells, we characterize a scalable re-aggregation technique that efficiently selects endocrine cells. Finally, we use a high-resolution sequencing time course to characterize gene expression dynamics during human pancreatic endocrine induction from which we develop a lineage model of in vitro beta cell differentiation. This study provides a deeper perspective on the current state of human stem cell differentiation and is a jumping-off point for future endeavors in in vitro differentiation of pancreatic islet cells and their application in regenerative medicine.

ORGANISM(S): Homo sapiens

PROVIDER: GSE114412 | GEO | 2019/05/10

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:deBack2012 - Lineage Specification in Pancreas Development This model of two neighbouring pancreas precursor cells, describes the exocrine versus endocrine lineage specification process. To account for the tissue scale patterns, this couplet model has been extended to hundreds of coupled cells. This model is described in the article: On the role of lateral stabilization during early patterning in the pancreas de Back W., Zhou JX, Brusch L J. R. Soc. Interface 6 February 2013 vol. 10 no. 79 20120766 Abstract: The cell fate decision of multi-potent pancreatic progenitor cells between the exocrine and endocrine lineages is regulated by Notch signalling, mediated by cell–cell interactions. However, canonical models of Notch-mediated lateral inhibition cannot explain the scattered spatial distribution of endocrine cells and the cell-type ratio in the developing pancreas. Based on evidence from acinar-to-islet cell transdifferentiation in vitro, we propose that lateral stabilization, i.e. positive feedback between adjacent progenitor cells, acts in parallel with lateral inhibition to regulate pattern formation in the pancreas. A simple mathematical model of transcriptional regulation and cell–cell interaction reveals the existence of multi-stability of spatial patterns whose simultaneous occurrence causes scattering of endocrine cells in the presence of noise. The scattering pattern allows for control of the endocrine-to-exocrine cell-type ratio by modulation of lateral stabilization strength. These theoretical results suggest a previously unrecognized role for lateral stabilization in lineage specification, spatial patterning and cell-type ratio control in organ development. This model is hosted on BioModels Database and identified by: MODEL1211010000 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

Charting in vitro beta cell differentiation by single cell RNA sequencing

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets