Identifying Drug Response by Combining Measurements of the Membrane Potential, the Cytosolic Calcium Concentration, and the Extracellular Potential in Microphysiological Systems.
Identifying Drug Response by Combining Measurements of the Membrane Potential, the Cytosolic Calcium Concentration, and the Extracellular Potential in Microphysiological Systems.
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DOI:
10.3389/fphar.2020.569489
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发表时间:
2020
影响因子:
5.6
通讯作者:
Tveito A
中科院分区:
文献类型:
--
作者:
Jæger KH;Charwat V;Wall S;Healy KE;Tveito A
Cardiomyocytes derived from human induced pluripotent stem cells (hiPSC-CMs) offer a new means to study and understand the human cardiac action potential, and can give key insight into how compounds may interact with important molecular pathways to destabilize the electrical function of the heart. Important features of the action potential can be readily measured using standard experimental techniques, such as the use of voltage sensitive dyes and fluorescent genetic reporters to estimate transmembrane potentials and cytosolic calcium concentrations. Using previously introduced computational procedures, such measurements can be used to estimate the current density of major ion channels present in hiPSC-CMs, and how compounds may alter their behavior. However, due to the limitations of optical recordings, resolving the sodium current remains difficult from these data. Here we show that if these optical measurements are complemented with observations of the extracellular potential using multi electrode arrays (MEAs), we can accurately estimate the current density of the sodium channels. This inversion of the sodium current relies on observation of the conduction velocity which turns out to be straightforwardly computed using measurements of extracellular waves across the electrodes. The combined data including the membrane potential, the cytosolic calcium concentration and the extracellular potential further opens up for the possibility of accurately estimating the effect of novel drugs applied to hiPSC-CMs.
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影响因子:
4.6
作者:
Raphel, Fabien;Boulakia, Muriel;Gerbeau, Jean-Frederic
通讯作者:
Gerbeau, Jean-Frederic
影响因子:
4.6
作者:
Mathur A;Loskill P;Shao K;Huebsch N;Hong S;Marcus SG;Marks N;Mandegar M;Conklin BR;Lee LP;Healy KE
通讯作者:
Healy KE
DOI:
10.1007/978-3-319-04801-7
发表时间:
2014-01-01
期刊:
MATHEMATICAL CARDIAC ELECTROPHYSIOLOGY
影响因子:
--
作者:
Franzone, P. C.;Pavarino, L. F.;Scacchi, S.
通讯作者:
Scacchi, S.
DOI:
10.1016/j.vascn.2016.03.009
发表时间:
2016-09-01
影响因子:
1.9
作者:
Crumb, William J., Jr.;Vicente, Jose;Strauss, David G.
通讯作者:
Strauss, David G.
影响因子:
16.1
作者:
Mathur A;Ma Z;Loskill P;Jeeawoody S;Healy KE
通讯作者:
Healy KE