A549 in-silico 1.0: A first computational model to simulate cell cycle dependent ion current modulation in the human lung adenocarcinoma.

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...

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Autores principales:	Sonja Langthaler, Theresa Rienmüller, Susanne Scheruebel, Brigitte Pelzmann, Niroj Shrestha, Klaus Zorn-Pauly, Wolfgang Schreibmayer, Andrew Koff, Christian Baumgartner
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/7c9b1d683b294f9d9f84e22b31257110
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spelling	oai:doaj.org-article:7c9b1d683b294f9d9f84e22b312571102021-11-25T05:40:35ZA549 in-silico 1.0: A first computational model to simulate cell cycle dependent ion current modulation in the human lung adenocarcinoma.1553-734X1553-735810.1371/journal.pcbi.1009091https://doaj.org/article/7c9b1d683b294f9d9f84e22b312571102021-06-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009091https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Lung 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.Sonja LangthalerTheresa RienmüllerSusanne ScheruebelBrigitte PelzmannNiroj ShresthaKlaus Zorn-PaulyWolfgang SchreibmayerAndrew KoffChristian BaumgartnerPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 6, p e1009091 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Sonja Langthaler Theresa Rienmüller Susanne Scheruebel Brigitte Pelzmann Niroj Shrestha Klaus Zorn-Pauly Wolfgang Schreibmayer Andrew Koff Christian Baumgartner A549 in-silico 1.0: A first computational model to simulate cell cycle dependent ion current modulation in the human lung adenocarcinoma.
description	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.
format	article
author	Sonja Langthaler Theresa Rienmüller Susanne Scheruebel Brigitte Pelzmann Niroj Shrestha Klaus Zorn-Pauly Wolfgang Schreibmayer Andrew Koff Christian Baumgartner
author_facet	Sonja Langthaler Theresa Rienmüller Susanne Scheruebel Brigitte Pelzmann Niroj Shrestha Klaus Zorn-Pauly Wolfgang Schreibmayer Andrew Koff Christian Baumgartner
author_sort	Sonja Langthaler
title	A549 in-silico 1.0: A first computational model to simulate cell cycle dependent ion current modulation in the human lung adenocarcinoma.
title_short	A549 in-silico 1.0: A first computational model to simulate cell cycle dependent ion current modulation in the human lung adenocarcinoma.
title_full	A549 in-silico 1.0: A first computational model to simulate cell cycle dependent ion current modulation in the human lung adenocarcinoma.
title_fullStr	A549 in-silico 1.0: A first computational model to simulate cell cycle dependent ion current modulation in the human lung adenocarcinoma.
title_full_unstemmed	A549 in-silico 1.0: A first computational model to simulate cell cycle dependent ion current modulation in the human lung adenocarcinoma.
title_sort	a549 in-silico 1.0: a first computational model to simulate cell cycle dependent ion current modulation in the human lung adenocarcinoma.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/7c9b1d683b294f9d9f84e22b31257110
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A549 in-silico 1.0: A first computational model to simulate cell cycle dependent ion current modulation in the human lung adenocarcinoma.

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