Differentiating functional human islet-like aggregates from pluripotent stem cells

We present here a robust and reliable protocol by which to differentiate pancreatic islet-like aggregates (SC-islets) from human pluripotent stem cells. The 7-stage protocol mimics developmental patterning factors that induce endocrine lineage formation and spans monolayer, microwell, and aggregate...

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Detalles Bibliográficos
Autores principales: Barsby, Tom, Ibrahim, Hazem, Lithovius, Väinö, Montaser, Hossam, Balboa, Diego, Vähäkangas, Eliisa, Chandra, Vikash, Saarimäki-Vire, Jonna, Otonkoski, Timo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508476/
https://www.ncbi.nlm.nih.gov/pubmed/36136756
http://dx.doi.org/10.1016/j.xpro.2022.101711
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author Barsby, Tom
Ibrahim, Hazem
Lithovius, Väinö
Montaser, Hossam
Balboa, Diego
Vähäkangas, Eliisa
Chandra, Vikash
Saarimäki-Vire, Jonna
Otonkoski, Timo
author_facet Barsby, Tom
Ibrahim, Hazem
Lithovius, Väinö
Montaser, Hossam
Balboa, Diego
Vähäkangas, Eliisa
Chandra, Vikash
Saarimäki-Vire, Jonna
Otonkoski, Timo
author_sort Barsby, Tom
collection PubMed
description We present here a robust and reliable protocol by which to differentiate pancreatic islet-like aggregates (SC-islets) from human pluripotent stem cells. The 7-stage protocol mimics developmental patterning factors that induce endocrine lineage formation and spans monolayer, microwell, and aggregate suspension culture. The SC-islets demonstrate dynamic glucose-sensitive insulin secretion and an endocrine cell composition similar to those of primary human islets. SC-islets generated using this optimized protocol are suitable for in vitro modeling of islet cell pathophysiology and therapeutic applications. For complete details on the use and execution of this protocol, please refer to Balboa et al. (2022).
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spelling pubmed-95084762022-09-25 Differentiating functional human islet-like aggregates from pluripotent stem cells Barsby, Tom Ibrahim, Hazem Lithovius, Väinö Montaser, Hossam Balboa, Diego Vähäkangas, Eliisa Chandra, Vikash Saarimäki-Vire, Jonna Otonkoski, Timo STAR Protoc Protocol We present here a robust and reliable protocol by which to differentiate pancreatic islet-like aggregates (SC-islets) from human pluripotent stem cells. The 7-stage protocol mimics developmental patterning factors that induce endocrine lineage formation and spans monolayer, microwell, and aggregate suspension culture. The SC-islets demonstrate dynamic glucose-sensitive insulin secretion and an endocrine cell composition similar to those of primary human islets. SC-islets generated using this optimized protocol are suitable for in vitro modeling of islet cell pathophysiology and therapeutic applications. For complete details on the use and execution of this protocol, please refer to Balboa et al. (2022). Elsevier 2022-09-21 /pmc/articles/PMC9508476/ /pubmed/36136756 http://dx.doi.org/10.1016/j.xpro.2022.101711 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Barsby, Tom
Ibrahim, Hazem
Lithovius, Väinö
Montaser, Hossam
Balboa, Diego
Vähäkangas, Eliisa
Chandra, Vikash
Saarimäki-Vire, Jonna
Otonkoski, Timo
Differentiating functional human islet-like aggregates from pluripotent stem cells
title Differentiating functional human islet-like aggregates from pluripotent stem cells
title_full Differentiating functional human islet-like aggregates from pluripotent stem cells
title_fullStr Differentiating functional human islet-like aggregates from pluripotent stem cells
title_full_unstemmed Differentiating functional human islet-like aggregates from pluripotent stem cells
title_short Differentiating functional human islet-like aggregates from pluripotent stem cells
title_sort differentiating functional human islet-like aggregates from pluripotent stem cells
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508476/
https://www.ncbi.nlm.nih.gov/pubmed/36136756
http://dx.doi.org/10.1016/j.xpro.2022.101711
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