1. A549 in-silico 1.0: A first computational model to simulate cell cycle dependent ion current modulation in the human lung adenocarcinoma
- Author
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Wolfgang Schreibmayer, Theresa Margarethe Rienmüller, Klaus Zorn-Pauly, Susanne Scheruebel, Brigitte Pelzmann, Sonja Langthaler, Niroj Shrestha, Christian Baumgartner, and Andrew Koff
- Subjects
0301 basic medicine ,Lung Neoplasms ,Patch-Clamp Techniques ,Physiology ,Cell ,Markov models ,Biochemistry ,Ion Channels ,Lung and Intrathoracic Tumors ,Membrane Potentials ,0302 clinical medicine ,Medicine and Health Sciences ,Cell Cycle and Cell Division ,Hidden Markov models ,Biology (General) ,Membrane potential ,Ecology ,Chemistry ,Physics ,Simulation and Modeling ,Cell Cycle ,Depolarization ,Ion current ,Cell cycle ,Markov Chains ,Electrophysiology ,medicine.anatomical_structure ,Computational Theory and Mathematics ,Oncology ,Cell Processes ,030220 oncology & carcinogenesis ,Modeling and Simulation ,Physical Sciences ,Research Article ,QH301-705.5 ,Biophysics ,Neurophysiology ,Adenocarcinoma of Lung ,Research and Analysis Methods ,Models, Biological ,Membrane Potential ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,Genetics ,medicine ,Humans ,Computer Simulation ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics ,Ion channel ,Cell Proliferation ,Ion Transport ,G1 Phase ,Computational Biology ,Biology and Life Sciences ,Proteins ,Cancers and Neoplasms ,Probability theory ,Cell Cycle Checkpoints ,Cell Biology ,030104 developmental biology ,A549 Cells ,Cancer cell ,Calcium Channels ,Neuroscience ,Mathematics - 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., Author summary Advances in the understanding of functional alterations at genetic, epigenetic or protein expression and the expanding knowledge in mechanisms modulating ion channel kinetics and thus the cells’ bioelectric properties have arisen as promising cancer biomarkers and oncological targets. Our hidden Markov-based in-silico cell model represents the electrophysiology behind proliferation of the A549 cell line, explaining the cell’s rhythmic oscillation from hyperpolarized to depolarized states of the membrane potential, able to trigger the transition between cell cycle phases. The model enables the prediction of membrane potential changes over the cell cycle provoked by targeted modulation of specific ion channels, leading to cell cycle promotion or interruption. We are encouraged that the availability of this first cancer cell model will provide profound insight into possible roles and interactions of ion channels in tumor development and progression, and may aid in the testing of research hypotheses in lung cancer electrophysiology.
- Published
- 2020