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Electrophysiological characterisation of iPSC-derived human β-like cells and an SLC30A8 disease model
iPSC-derived human β-like cells (BLC) hold promise for both therapy and disease modelling, but their generation remains challenging and their functional analyses beyond transcriptomic and morphological assessments remain limited. Here, we validate an approach using multicellular and single cell elec...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614917/ https://www.ncbi.nlm.nih.gov/pubmed/37905040 http://dx.doi.org/10.1101/2023.10.17.561014 |
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author | Jaffredo, Manon Krentz, Nicole A. J. Champon, Benoite Duff, Claire E. Nawaz, Sameena Beer, Nicola Honore, Christian Clark, Anne Rorsman, Patrik Lang, Jochen Gloyn, Anna L. Raoux, Matthieu Hastoy, Benoit |
author_facet | Jaffredo, Manon Krentz, Nicole A. J. Champon, Benoite Duff, Claire E. Nawaz, Sameena Beer, Nicola Honore, Christian Clark, Anne Rorsman, Patrik Lang, Jochen Gloyn, Anna L. Raoux, Matthieu Hastoy, Benoit |
author_sort | Jaffredo, Manon |
collection | PubMed |
description | iPSC-derived human β-like cells (BLC) hold promise for both therapy and disease modelling, but their generation remains challenging and their functional analyses beyond transcriptomic and morphological assessments remain limited. Here, we validate an approach using multicellular and single cell electrophysiological tools to evaluate BLCs functions. The Multi-Electrode Arrays (MEAs) measuring the extracellular electrical activity revealed that BLCs are electrically coupled, produce slow potential (SP) signals like primary β-cells that are closely linked to insulin secretion. We also used high-resolution single-cell patch-clamp measurements to capture the exocytotic properties, and characterize voltage-gated sodium and calcium currents. These were comparable to those in primary β and EndoC-βH1 cells. The K(ATP) channel conductance is greater than in human primary β cells which may account for the limited glucose responsiveness observed with MEA. We used MEAs to study the impact of the type 2 diabetes protective SLC30A8 allele (p.Lys34Serfs*50) and found that BLCs with this allele have stronger electrical coupling. Our data suggest that with an adapted approach BLCs from pioneer protocol can be used to evaluate the functional impact of genetic variants on β-cell function and coupling. |
format | Online Article Text |
id | pubmed-10614917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-106149172023-10-31 Electrophysiological characterisation of iPSC-derived human β-like cells and an SLC30A8 disease model Jaffredo, Manon Krentz, Nicole A. J. Champon, Benoite Duff, Claire E. Nawaz, Sameena Beer, Nicola Honore, Christian Clark, Anne Rorsman, Patrik Lang, Jochen Gloyn, Anna L. Raoux, Matthieu Hastoy, Benoit bioRxiv Article iPSC-derived human β-like cells (BLC) hold promise for both therapy and disease modelling, but their generation remains challenging and their functional analyses beyond transcriptomic and morphological assessments remain limited. Here, we validate an approach using multicellular and single cell electrophysiological tools to evaluate BLCs functions. The Multi-Electrode Arrays (MEAs) measuring the extracellular electrical activity revealed that BLCs are electrically coupled, produce slow potential (SP) signals like primary β-cells that are closely linked to insulin secretion. We also used high-resolution single-cell patch-clamp measurements to capture the exocytotic properties, and characterize voltage-gated sodium and calcium currents. These were comparable to those in primary β and EndoC-βH1 cells. The K(ATP) channel conductance is greater than in human primary β cells which may account for the limited glucose responsiveness observed with MEA. We used MEAs to study the impact of the type 2 diabetes protective SLC30A8 allele (p.Lys34Serfs*50) and found that BLCs with this allele have stronger electrical coupling. Our data suggest that with an adapted approach BLCs from pioneer protocol can be used to evaluate the functional impact of genetic variants on β-cell function and coupling. Cold Spring Harbor Laboratory 2023-10-18 /pmc/articles/PMC10614917/ /pubmed/37905040 http://dx.doi.org/10.1101/2023.10.17.561014 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Jaffredo, Manon Krentz, Nicole A. J. Champon, Benoite Duff, Claire E. Nawaz, Sameena Beer, Nicola Honore, Christian Clark, Anne Rorsman, Patrik Lang, Jochen Gloyn, Anna L. Raoux, Matthieu Hastoy, Benoit Electrophysiological characterisation of iPSC-derived human β-like cells and an SLC30A8 disease model |
title | Electrophysiological characterisation of iPSC-derived human β-like cells and an SLC30A8 disease model |
title_full | Electrophysiological characterisation of iPSC-derived human β-like cells and an SLC30A8 disease model |
title_fullStr | Electrophysiological characterisation of iPSC-derived human β-like cells and an SLC30A8 disease model |
title_full_unstemmed | Electrophysiological characterisation of iPSC-derived human β-like cells and an SLC30A8 disease model |
title_short | Electrophysiological characterisation of iPSC-derived human β-like cells and an SLC30A8 disease model |
title_sort | electrophysiological characterisation of ipsc-derived human β-like cells and an slc30a8 disease model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614917/ https://www.ncbi.nlm.nih.gov/pubmed/37905040 http://dx.doi.org/10.1101/2023.10.17.561014 |
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