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Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments

Abstract:
Mathematical models of ion channels, which constitute indispensable components of action potential models, are commonly constructed by fitting to whole-cell patch-clamp data. In a previous study, we fitted cell-specific models to hERG1a (Kv11.1) recordings simultaneously measured using an automated high-throughput system, and studied cell-cell variability by inspecting the resulting model parameters. However, the origin of the observed variability was not identified. Here, we study the source of variability by constructing a model that describes not just ion current dynamics, but the entire voltage-clamp experiment. The experimental artefact components of the model include: series resistance, membrane and pipette capacitance, voltage offsets, imperfect compensations made by the amplifier for these phenomena, and leak current. In this model, variability in the observations can be explained by either cell properties, measurement artefacts, or both. Remarkably, by assuming that variability arises exclusively from measurement artefacts, it is possible to explain a larger amount of the observed variability than when assuming cell-specific ion current kinetics. This assumption also leads to a smaller number of model parameters. This result suggests that most of the observed variability in patch-clamp data measured under the same conditions is caused by experimental artefacts, and hence can be compensated for in post-processing by using our model for the patch-clamp experiment. This study has implications for the question of the extent to which cell-cell variability in ion channel kinetics exists, and opens up routes for better correction of artefacts in patch-clamp data.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rsta.2019.0348

Authors

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Role:
Author
ORCID:
0000-0003-0904-554X
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0003-4062-3061
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author


Publisher:
Royal Society
Journal:
Philosophical transactions of the Royal Society of London. Series A: Mathematical and physical sciences More from this journal
Volume:
378
Issue:
2173
Article number:
20190348
Publication date:
2020-05-25
Acceptance date:
2020-04-08
DOI:
ISSN:
0080-4614


Language:
English
Keywords:
Pubs id:
1081277
Local pid:
pubs:1081277
Deposit date:
2020-05-25
ARK identifier:

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