In:
PLOS Computational Biology, Public Library of Science (PLoS), Vol. 17, No. 6 ( 2021-6-22), p. e1009091-
Abstract:
Lung cancer is still a leading cause of death worldwide. In recent years, knowledge has been obtained of the mechanisms modulating ion channel kinetics and thus of cell bioelectric properties, which is promising for oncological biomarkers and targets. The complex interplay of channel expression and its consequences on malignant processes, however, is still insufficiently understood. We here introduce the first approach of an in-silico whole-cell ion current model of a cancer cell, in particular of the A549 human lung adenocarcinoma, including the main functionally expressed ion channels in the plasma membrane as so far known. This hidden Markov-based model represents the electrophysiology behind proliferation of the A549 cell, describing its rhythmic oscillation of the membrane potential able to trigger the transition between cell cycle phases, and it predicts membrane potential changes over the cell cycle provoked by targeted ion channel modulation. This first A549 in-silico cell model opens up a deeper insight and understanding of possible ion channel interactions in tumor development and progression, and is a valuable tool for simulating altered ion channel function in lung cancer electrophysiology.
Type of Medium:
Online Resource
ISSN:
1553-7358
DOI:
10.1371/journal.pcbi.1009091
DOI:
10.1371/journal.pcbi.1009091.g001
DOI:
10.1371/journal.pcbi.1009091.g002
DOI:
10.1371/journal.pcbi.1009091.g003
DOI:
10.1371/journal.pcbi.1009091.g004
DOI:
10.1371/journal.pcbi.1009091.g005
DOI:
10.1371/journal.pcbi.1009091.g006
DOI:
10.1371/journal.pcbi.1009091.g007
DOI:
10.1371/journal.pcbi.1009091.t001
DOI:
10.1371/journal.pcbi.1009091.t002
DOI:
10.1371/journal.pcbi.1009091.s001
DOI:
10.1371/journal.pcbi.1009091.s002
DOI:
10.1371/journal.pcbi.1009091.s003
DOI:
10.1371/journal.pcbi.1009091.s004
DOI:
10.1371/journal.pcbi.1009091.s005
DOI:
10.1371/journal.pcbi.1009091.s006
DOI:
10.1371/journal.pcbi.1009091.s007
DOI:
10.1371/journal.pcbi.1009091.s008
DOI:
10.1371/journal.pcbi.1009091.s009
DOI:
10.1371/journal.pcbi.1009091.s010
DOI:
10.1371/journal.pcbi.1009091.s011
DOI:
10.1371/journal.pcbi.1009091.s012
DOI:
10.1371/journal.pcbi.1009091.s013
DOI:
10.1371/journal.pcbi.1009091.s014
DOI:
10.1371/journal.pcbi.1009091.s015
DOI:
10.1371/journal.pcbi.1009091.s016
DOI:
10.1371/journal.pcbi.1009091.s017
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2193340-6
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