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1.
STAR Protoc ; 4(2): 102183, 2023 Mar 22.
Artigo em Inglês | MEDLINE | ID: mdl-36952333

RESUMO

Efforts have been made to establish a differentiation protocol mimicking pancreatic development and to derive pancreatic ß cells for regenerative medicine. Here, we present an optimized pancreatic ß cell differentiation procedure using human pluripotent stem cells. We describe steps for a short 5-h methionine deprivation pretreatment followed by the application of zinc-deprived media at definitive endoderm differentiation stages to improve differentiation efficiency. The application of methionine and zinc deprivation facilitates the generation of functional pancreatic ß cells. For complete details on the use and execution of this protocol, please refer to Sim et al. (2022).1.

2.
Cell Rep ; 40(3): 111120, 2022 07 19.
Artigo em Inglês | MEDLINE | ID: mdl-35858556

RESUMO

Pluripotent stem cells (PSCs) exhibit a unique feature that requires S-adenosylmethionine (SAM) for the maintenance of their pluripotency. Methionine deprivation in the medium causes a reduction in intracellular SAM, thus rendering PSCs in a state potentiated for differentiation. In this study, we find that methionine deprivation triggers a reduction in intracellular protein-bound Zn content and upregulation of Zn exporter SLC30A1 in PSCs. Culturing PSCs in Zn-deprived medium results in decreased intracellular protein-bound Zn content, reduced cell growth, and potentiated differentiation, which partially mimics methionine deprivation. PSCs cultured under Zn deprivation exhibit an altered methionine metabolism-related metabolite profile. We conclude that methionine deprivation potentiates differentiation partly by lowering cellular Zn content. We establish a protocol to generate functional pancreatic ß cells by applying methionine and Zn deprivation. Our results reveal a link between Zn signaling and methionine metabolism in the regulation of cell fate in PSCs.


Assuntos
Células-Tronco Pluripotentes , Zinco , Diferenciação Celular/fisiologia , Metionina/metabolismo , Células-Tronco Pluripotentes/metabolismo , S-Adenosilmetionina/metabolismo , Transdução de Sinais , Zinco/metabolismo
3.
Inflamm Regen ; 41(1): 1, 2021 Jan 05.
Artigo em Inglês | MEDLINE | ID: mdl-33402224

RESUMO

Human pluripotent stem cells (PSCs), including human embryonic stem cells and induced pluripotent stem cells, are promising cell sources in regenerating pancreatic islets through in vitro directed differentiation. Recent progress in this research field has made it possible to generate glucose-responsive pancreatic islet cells from PSCs. Single-cell RNA sequencing techniques have been applied to analyze PSC-derived endocrine beta-cells, which are then compared with human islets. This has led to the identification of novel signaling pathways and molecules involved in lineage commitment during pancreatic differentiation and maturation processes. Single-cell transcriptomics are also used to construct a detailed map of in vivo endocrine differentiation of developing mouse embryos to study pancreatic islet development. Mimicking those occurring in vivo, it was reported that differentiating PSCs can generate similar islet cell structures, while metabolomics analysis highlighted key components involved in PSC-derived pancreatic islet cell function, providing information for the improvement of in vitro pancreatic maturation procedures. In addition, cell transplantation into diabetic animal models, together with the cell delivery system, is studied to ensure the therapeutic potentials of PSC-derived pancreatic islet cells. Combined with gene-editing technology, the engineered mutation-corrected PSC lines originated from diabetes patients could be differentiated into functional pancreatic islet cells, suggesting possible autologous cell therapy in the future. These PSC-derived pancreatic islet cells are a potential tool for studies of disease modeling and drug testing. Herein, we outlined the directed differentiation procedures of PSC-derived pancreatic islet cells, novel findings through transcriptome and metabolome studies, and recent progress in disease modeling.

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