Open Access
A modern automated patch-clamp approach for high throughput electrophysiology recordings in native cardiomyocytes
Fitzwilliam Seibertz
1, 2, 3
,
Markus Rapedius
4
,
Funsho E Fakuade
1, 2, 3
,
Philipp Tomsits
5, 6, 7, 8
,
Aiste Liutkute
1, 2, 3
,
Lukas Cyganek
2, 3, 9
,
Nadine Becker
4
,
Rupamanjari Majumder
2, 10
,
Sebastian Clauss
5, 6, 7, 8
,
Niels Fertig
4
,
Niels Voigt
1, 2, 3
4
Nanion Technologies GmbH, Munich, Germany
|
10
Biomedical Physics Group, Max Planck Institute for Dynamics and Self Organisation, Gottingen, Germany
|
Publication type: Journal Article
Publication date: 2022-09-15
scimago Q1
wos Q1
SJR: 2.071
CiteScore: 8.8
Impact factor: 5.1
ISSN: 23993642
PubMed ID:
36109584
General Biochemistry, Genetics and Molecular Biology
Medicine (miscellaneous)
General Agricultural and Biological Sciences
Abstract
Crucial conventional patch-clamp approaches to investigate cellular electrophysiology suffer from low-throughput and require considerable experimenter expertise. Automated patch-clamp (APC) approaches are more experimenter independent and offer high-throughput, but by design are predominantly limited to assays containing small, homogenous cells. In order to enable high-throughput APC assays on larger cells such as native cardiomyocytes isolated from mammalian hearts, we employed a fixed-well APC plate format. A broad range of detailed electrophysiological parameters including action potential, L-type calcium current and basal inward rectifier current were reliably acquired from isolated swine atrial and ventricular cardiomyocytes using APC. Effective pharmacological modulation also indicated that this technique is applicable for drug screening using native cardiomyocyte material. Furthermore, sequential acquisition of multiple parameters from a single cell was successful in a high throughput format, substantially increasing data richness and quantity per experimental run. When appropriately expanded, these protocols will provide a foundation for effective mechanistic and phenotyping studies of human cardiac electrophysiology. Utilizing scarce biopsy samples, regular high throughput characterization of primary cardiomyocytes using APC will facilitate drug development initiatives and personalized treatment strategies for a multitude of cardiac diseases. An altered automated patch-clamp (APC) approach enables high-throughput recordings from native pig cardiomyocytes and human iPSC-derived cardiomyocytes.
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51
Total citations:
51
Citations from 2024:
39
(76.47%)
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GOST
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Seibertz F. et al. A modern automated patch-clamp approach for high throughput electrophysiology recordings in native cardiomyocytes // Communications Biology. 2022. Vol. 5. No. 1. 969
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Seibertz F., Rapedius M., Fakuade F. E., Tomsits P., Liutkute A., Cyganek L., Becker N., Majumder R., Clauss S., Fertig N., Voigt N. A modern automated patch-clamp approach for high throughput electrophysiology recordings in native cardiomyocytes // Communications Biology. 2022. Vol. 5. No. 1. 969
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TY - JOUR
DO - 10.1038/s42003-022-03871-2
UR - https://doi.org/10.1038/s42003-022-03871-2
TI - A modern automated patch-clamp approach for high throughput electrophysiology recordings in native cardiomyocytes
T2 - Communications Biology
AU - Seibertz, Fitzwilliam
AU - Rapedius, Markus
AU - Fakuade, Funsho E
AU - Tomsits, Philipp
AU - Liutkute, Aiste
AU - Cyganek, Lukas
AU - Becker, Nadine
AU - Majumder, Rupamanjari
AU - Clauss, Sebastian
AU - Fertig, Niels
AU - Voigt, Niels
PY - 2022
DA - 2022/09/15
PB - Springer Nature
IS - 1
VL - 5
PMID - 36109584
SN - 2399-3642
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2022_Seibertz,
author = {Fitzwilliam Seibertz and Markus Rapedius and Funsho E Fakuade and Philipp Tomsits and Aiste Liutkute and Lukas Cyganek and Nadine Becker and Rupamanjari Majumder and Sebastian Clauss and Niels Fertig and Niels Voigt},
title = {A modern automated patch-clamp approach for high throughput electrophysiology recordings in native cardiomyocytes},
journal = {Communications Biology},
year = {2022},
volume = {5},
publisher = {Springer Nature},
month = {sep},
url = {https://doi.org/10.1038/s42003-022-03871-2},
number = {1},
pages = {969},
doi = {10.1038/s42003-022-03871-2}
}