ArticlePLoS computational biology2021
A549 in-silico 1.0: A first computational model to simulate cell cycle dependent ion current modulation in the human lung adenocarcinoma.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Integrated Bioinformatic and Experimental Analysis of PTEN and DNMT1 Regulation in NSCLC.Biomedicines · 2026Article
- Cancer: A bioelectric disease?Clinical and translational medicine · 2026Review
- Resolving Artifacts in Voltage-Clamp Experiments with Computational Modeling: An Application to Fast Sodium Current Recordings.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Chloride channels and mast cell function: pioneering new frontiers in IBD therapy.Molecular and cellular biochemistry · 2025Review
- The bioelectric mechanisms of local calcium dynamics in cancer cell proliferation: an extension of the A549Frontiers in molecular biosciences · 2024Article
- LINC00511 aggravates the malignancy of lung adenocarcinoma through sponging microRNA miR-4739 to regulate pyrroline-5-carboxylate reductase 1 expression.Journal of clinical laboratory analysis · 2022Article
- The world's first digital cell twin in cancer electrophysiology: a digital revolution in cancer research?Journal of experimental & clinical cancer research : CR · 2022Article
- Light Stimulation of Neurons on Organic Photocapacitors Induces Action Potentials with Millisecond Precision.Advanced materials technologies · 2022Article
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.