| RRC ID |
63770
|
| Author |
Aghasafari P, Yang PC, Kernik DC, Sakamoto K, Kanda Y, Kurokawa J, Vorobyov I, Clancy CE.
|
| Title |
A deep learning algorithm to translate and classify cardiac electrophysiology.
|
| Journal |
Elife
|
| Abstract |
The development of induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) has been a critical in vitro advance in the study of patient-specific physiology, pathophysiology, and pharmacology. We designed a new deep learning multitask network approach intended to address the low throughput, high variability, and immature phenotype of the iPSC-CM platform. The rationale for combining translation and classification tasks is because the most likely application of the deep learning technology we describe here is to translate iPSC-CMs following application of a perturbation. The deep learning network was trained using simulated action potential (AP) data and applied to classify cells into the drug-free and drugged categories and to predict the impact of electrophysiological perturbation across the continuum of aging from the immature iPSC-CMs to the adult ventricular myocytes. The phase of the AP extremely sensitive to perturbation due to a steep rise of the membrane resistance was found to contain the key information required for successful network multitasking. We also demonstrated successful translation of both experimental and simulated iPSC-CM AP data validating our network by prediction of experimental drug-induced effects on adult cardiomyocyte APs by the latter.
|
| Volume |
10
|
| Published |
2021-7-2
|
| DOI |
10.7554/eLife.68335
|
| PII |
68335
|
| PMID |
34212860
|
| PMC |
PMC8282335
|
| MeSH |
Action Potentials / physiology
Algorithms*
Cell Differentiation / physiology
Computer Simulation
Deep Learning*
ERG1 Potassium Channel / genetics
ERG1 Potassium Channel / metabolism
Electrophysiologic Techniques, Cardiac*
Electrophysiological Phenomena / physiology
Gene Expression Regulation / drug effects
Humans
Induced Pluripotent Stem Cells / physiology
Models, Biological
Myocytes, Cardiac / physiology*
Phenethylamines / pharmacology
Sulfonamides / pharmacology
|
| IF |
7.08
|
| Resource |
| Human and Animal Cells |
201B7(HPS0063) |
