Functional identification of islet cell types by electrophysiological fingerprinting
Open accessAbstract
The α-, β- and δ-cells of the pancreatic islet exhibit different electrophysiological features. We used a large dataset of whole-cell patch-clamp recordings from cells in intact mouse islets (N= 288 recordings) to investigate whether it is possible to reliably identify cell type (α, β or δ) based on their electrophysiological characteristics. We quantified 15 electrophysiological variables in each recorded cell. Individually, none of the variables could reliably distinguish the cell types. We therefore constructed a logistic regression model that included all quantified variables, to determine whether they could together identify cell type. The model identified cell type with 94% accuracy. This model was applied to a dataset of cells recorded from hyperglycaemic βV59M mice; it correctly identified cell type in all cells and was able to distinguish cells that co-expressed insulin and glucagon. Based on this revised functional identification, we were able to improve conductance-based models of the electrical activity in α-cells and generate a model of δ-cell electrical activity. These new models could faithfully emulate α- and δ-cell electrical activity recorded experimentally.
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Cell identity in electrophysiological recordings was established by electrophysiological fingerprinting.
“Cell identity was established by electrophysiological fingerprinting34.”
From Loss of electrical β-cell to δ-cell coupling underlies impaired hypoglycaemia-induced glucagon secretion in type-1 diabetes (2024) · cites this paper as [34]
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Self-citationHeterogenous impairment of α-cell function in type 2 diabetes is linked to cell maturation state
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Self-citationThe Human Islet: Mini-Organ With Mega-Impact
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Reduced somatostatin signalling leads to hypersecretion of glucagon in mice fed a high-fat diet
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Self-citationBeta-cell hubs maintain Ca2+ oscillations in human and mouse islet simulations
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Self-citationVitamin-D-Binding Protein Contributes to the Maintenance of α Cell Function and Glucagon Secretion
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Self-citationGlucose Controls Glucagon Secretion by Regulating Fatty Acid Oxidation in Pancreatic α-Cells
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“Cell identity was established by electrophysiological fingerprinting 34 .”
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Intercellular Communication in the Islet of Langerhans in Health and Disease
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Gap junction coupling and islet delta-cell function in health and disease.
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Self-citationModelling of energy-driven switch for glucagon and insulin secretion
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Comparative analysis of reconstructed architectures from mice and human islets
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Beta-cell Ion Channels and Their Role in Regulating Insulin Secretion
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Heterogeneous alpha-cell population modeling of glucose-induced inhibition of electrical activity
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Intercellular Communication in the Islet of Langerhans in Health and Disease
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Nicotinic Signaling Stimulates Glucagon Secretion in Mouse and Human Pancreatic α-Cells
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Self-citationRandom Matrix Analysis of Ca2+ Signals in β-Cell Collectives
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Self-citationAlpha Cell Stimulus-Secretion Coupling and Intercellular Interactions in Health and Type 2 Diabetes
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Self-citationComputational modeling of the pancreas and pancreatic function
Félix‐Martínez, G. J. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-30263-3.00018-x
- Authors
- Briant, L. J. B., Zhang, Q., Vergari, E., Kellard, J. A., Rodriguez, B., Ashcroft, F. M., & Rorsman, P.
- Affiliations
- Churchill Hospital (GB)
- Department of Computer Science, University of Oxford, Oxford OX1 3QD, UK
- University of Oxford (GB)
- Corresponding author
- Briant, Linford J. B.
- Venue
- Journal of The Royal Society Interface
- Publisher
- The Royal Society
- Published
- 2017-03
- Volume
- 14
- Issue
- 128
- Pages
- 20160999
- ISSN
- 1742-5662 (ISSN-L)
- 1742-5689
- PMC
- PMC5378133
- OpenAlex
- W2592904886
- Cited by
- 59
- References
- 89
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 4 · 2023: 2 · 2022: 6 · 2021: 13 · 2020: 9 · 2019: 7 · 2018: 4 · 2017: 4
- FWCI
- 6.72
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of The Royal Society Interface (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Wellcome Trust (089795, 095531, 100246/Z/12/Z, 201325/Z/16/Z, 884655)
- European Research Council (322620)
- Engineering and Physical Sciences Research Council (EP/K503769/1)
- European Commission (675451)
- Diabetes UK
- National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC/P001076/1)
- BHF Centre of Research Excellence, Oxford (RE/13/1/30181)
- Topics
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion channel regulation and function
- Keywords
- pancreatic islet cells, alpha cells, pancreatic beta cells, delta cells, cell type annotation, logistic regression, hyperglycemia, conductance-based models
- MeSH terms
- Animals, Hyperglycemia, Islets of Langerhans, Models, Biological, Mice, Knockout, Mice, Electrophysiological Phenomena
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