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Langthaler S, Zumpf C, Rienmüller T, Shrestha N, Fuchs J, Zhou R, Pelzmann B, Zorn-Pauly K, Fröhlich E, Weinberg SH, Baumgartner C. The bioelectric mechanisms of local calcium dynamics in cancer cell proliferation: an extension of the A549 in silico cell model. Front Mol Biosci 2024; 11:1394398. [PMID: 38770217 PMCID: PMC11102976 DOI: 10.3389/fmolb.2024.1394398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 04/09/2024] [Indexed: 05/22/2024] Open
Abstract
Introduction Advances in molecular targeting of ion channels may open up new avenues for therapeutic approaches in cancer based on the cells' bioelectric properties. In addition to in-vitro or in-vivo models, in silico models can provide deeper insight into the complex role of electrophysiology in cancer and reveal the impact of altered ion channel expression and the membrane potential on malignant processes. The A549 in silico model is the first computational cancer whole-cell ion current model that simulates the bioelectric mechanisms of the human non-small cell lung cancer cell line A549 during the different phases of the cell cycle. This work extends the existing model with a detailed mathematical description of the store-operated Ca2+ entry (SOCE) and the complex local intracellular calcium dynamics, which significantly affect the entire electrophysiological properties of the cell and regulate cell cycle progression. Methods The initial model was extended by a multicompartmental approach, addressing the heterogenous calcium profile and dynamics in the ER-PM junction provoked by local calcium entry of store-operated calcium channels (SOCs) and uptake by SERCA pumps. Changes of cytosolic calcium levels due to diffusion from the ER-PM junction, release from the ER by RyR channels and IP3 receptors, as well as corresponding PM channels were simulated and the dynamics evaluated based on calcium imaging data. The model parameters were fitted to available data from two published experimental studies, showing the function of CRAC channels and indirectly of IP3R, RyR and PMCA via changes of the cytosolic calcium levels. Results The proposed calcium description accurately reproduces the dynamics of calcium imaging data and simulates the SOCE mechanisms. In addition, simulations of the combined A549-SOCE model in distinct phases of the cell cycle demonstrate how Ca2+ - dynamics influence responding channels such as KCa, and consequently modulate the membrane potential accordingly. Discussion Local calcium distribution and time evolution in microdomains of the cell significantly impact the overall electrophysiological properties and exert control over cell cycle progression. By providing a more profound description, the extended A549-SOCE model represents an important step on the route towards a valid model for oncological research and in silico supported development of novel therapeutic strategies.
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Affiliation(s)
- Sonja Langthaler
- Institute of Health Care Engineering with European Testing Center for Medical Devices, Graz University of Technology, Graz, Austria
| | - Christian Zumpf
- Institute of Health Care Engineering with European Testing Center for Medical Devices, Graz University of Technology, Graz, Austria
| | - Theresa Rienmüller
- Institute of Health Care Engineering with European Testing Center for Medical Devices, Graz University of Technology, Graz, Austria
| | - Niroj Shrestha
- Institute of Health Care Engineering with European Testing Center for Medical Devices, Graz University of Technology, Graz, Austria
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Medical University of Graz, Graz, Austria
| | - Julia Fuchs
- Institute of Health Care Engineering with European Testing Center for Medical Devices, Graz University of Technology, Graz, Austria
- Research Unit on Cell Biology, Histology and Embryology, Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Medical University of Graz, Graz, Austria
| | - Rui Zhou
- Institute of Health Care Engineering with European Testing Center for Medical Devices, Graz University of Technology, Graz, Austria
| | - Brigitte Pelzmann
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Medical University of Graz, Graz, Austria
| | - Klaus Zorn-Pauly
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Medical University of Graz, Graz, Austria
| | - Eleonore Fröhlich
- Center for Medical Research, Medical University of Graz, Graz, Austria
| | - Seth H. Weinberg
- Department of Biomedical Engineering, The Ohio State University, Columbus, OH, United States
- Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Christian Baumgartner
- Institute of Health Care Engineering with European Testing Center for Medical Devices, Graz University of Technology, Graz, Austria
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Ye L, Wang L, Zeng Y. LINC00511
aggravates the malignancy of lung adenocarcinoma through sponging
microRNA miR
‐4739 to regulate pyrroline‐5‐carboxylate reductase 1 expression. J Clin Lab Anal 2022; 36:e24760. [DOI: 10.1002/jcla.24760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/24/2022] [Accepted: 10/25/2022] [Indexed: 11/15/2022] Open
Affiliation(s)
- Lu Ye
- Department of Oncology, The Second Affiliated Hospital of Chengdu Medical College China National Nuclear Corporation 416 Hospital Chengdu China
| | - Linxiu Wang
- Department of Orthopedics, The Second Affiliated Hospital of Chengdu Medical College China National Nuclear Corporation 416 Hospital Chengdu China
| | - Yu Zeng
- Department of Oncology, Jintang First People's Hospital West China Hospital Sichuan University Jintang Hospital Chengdu China
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Baumgartner C. The world's first digital cell twin in cancer electrophysiology: a digital revolution in cancer research? JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH : CR 2022; 41:298. [PMID: 36221111 PMCID: PMC9552501 DOI: 10.1186/s13046-022-02507-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 09/30/2022] [Indexed: 11/07/2022]
Abstract
Background The introduction of functional in-silico models, in addition to in-vivo tumor models, opens up new and unlimited possibilities in cancer research and drug development. The world's first digital twin of the A549 cell's electrophysiology in the human lung adenocarcinoma, unveiled in 2021, enables the investigation and evaluation of new research hypotheses about modulating the function of ion channels in the cell membrane, which are important for better understanding cancer development and progression, as well as for developing new drugs and predicting treatments. Main body The developed A549 in-silico model allows virtual simulations of the cell’s rhythmic oscillation of the membrane potential, which can trigger the transition between cell cycle phases. It is able to predict the promotion or interruption of cell cycle progression provoked by targeted activation and inactivation of ion channels, resulting in abnormal hyper- or depolarization of the membrane potential, a potential key signal for the known cancer hallmarks. For example, model simulations of blockade of transient receptor potential cation channels (TRPC6), which are highly expressed during S-G2/M transition, result in a strong hyperpolarization of the cell’s membrane potential that can suppress or bypass the depolarization required for the S-G2/M transition, allowing for possible cell cycle arrest and inhibition of mitosis. All simulated research hypotheses could be verified by experimental studies. Short conclusion Functional, non-phenomenological digital twins, ranging from single cells to cell–cell interactions to 3D tissue models, open new avenues for modern cancer research through "dry lab" approaches that optimally complement established in-vivo and in-vitro methods.
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Affiliation(s)
- Christian Baumgartner
- grid.410413.30000 0001 2294 748XInstitute of Health Care Engineering With European Testing Center of Medical Devices, Computational Cancer Electrophysiology Lab, Graz University of Technology, 8010 Graz, Austria
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Schmidt T, Jakešová M, Đerek V, Kornmueller K, Tiapko O, Bischof H, Burgstaller S, Waldherr L, Nowakowska M, Baumgartner C, Üçal M, Leitinger G, Scheruebel S, Patz S, Malli R, Głowacki ED, Rienmüller T, Schindl R. Light Stimulation of Neurons on Organic Photocapacitors Induces Action Potentials with Millisecond Precision. ADVANCED MATERIALS TECHNOLOGIES 2022; 7:2101159. [PMID: 37064760 PMCID: PMC10097427 DOI: 10.1002/admt.202101159] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 02/09/2022] [Indexed: 06/16/2023]
Abstract
Nongenetic optical control of neurons is a powerful technique to study and manipulate the function of the nervous system. This research has benchmarked the performance of organic electrolytic photocapacitor (OEPC) optoelectronic stimulators at the level of single mammalian cells: human embryonic kidney (HEK) cells with heterologously expressed voltage-gated K+ channels and hippocampal primary neurons. OEPCs act as extracellular stimulation electrodes driven by deep red light. The electrophysiological recordings show that millisecond light stimulation of OEPC shifts conductance-voltage plots of voltage-gated K+ channels by ≈30 mV. Models are described both for understanding the experimental findings at the level of K+ channel kinetics in HEK cells, as well as elucidating interpretation of membrane electrophysiology obtained during stimulation with an electrically floating extracellular photoelectrode. A time-dependent increase in voltage-gated channel conductivity in response to OEPC stimulation is demonstrated. These findings are then carried on to cultured primary hippocampal neurons. It is found that millisecond time-scale optical stimuli trigger repetitive action potentials in these neurons. The findings demonstrate that OEPC devices enable the manipulation of neuronal signaling activities with millisecond precision. OEPCs can therefore be integrated into novel in vitro electrophysiology protocols, and the findings can inspire in vivo applications.
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Affiliation(s)
- Tony Schmidt
- Gottfried Schatz Research CenterChair of BiophysicsMedical University of GrazNeue Stiftingtalstraße 6Graz8010Austria
- BioTechMed‐GrazGraz8010Austria
| | - Marie Jakešová
- Bioelectronics Materials and Devices LaboratoryCentral European Institute of TechnologyBrno University of TechnologyPurkyňova 123Brno61200Czech Republic
| | - Vedran Đerek
- Department of PhysicsFaculty of ScienceUniversity of ZagrebBijenička c. 32Zagreb10000Croatia
| | - Karin Kornmueller
- Gottfried Schatz Research CenterChair of BiophysicsMedical University of GrazNeue Stiftingtalstraße 6Graz8010Austria
- BioTechMed‐GrazGraz8010Austria
| | - Oleksandra Tiapko
- Gottfried Schatz Research CenterChair of BiophysicsMedical University of GrazNeue Stiftingtalstraße 6Graz8010Austria
| | - Helmut Bischof
- Gottfried Schatz Research CenterMolecular Biology and BiochemistryMedical University of GrazNeue Stiftingtalstraße 6/6Graz8010Austria
- Department of PharmacologyToxicology and Clinical PharmacyInstitute of PharmacyUniversity of TuebingenAuf der Morgenstelle 872076TuebingenGermany
| | - Sandra Burgstaller
- Gottfried Schatz Research CenterMolecular Biology and BiochemistryMedical University of GrazNeue Stiftingtalstraße 6/6Graz8010Austria
- Department of PharmacologyToxicology and Clinical PharmacyInstitute of PharmacyUniversity of TuebingenAuf der Morgenstelle 872076TuebingenGermany
- NMI Natural and Medical Sciences Institute at the University of Tuebingen72770ReutlingenGermany
| | - Linda Waldherr
- Gottfried Schatz Research CenterChair of BiophysicsMedical University of GrazNeue Stiftingtalstraße 6Graz8010Austria
- BioTechMed‐GrazGraz8010Austria
| | - Marta Nowakowska
- Research Unit of Experimental NeurotraumatologyDepartment of NeurosurgeryMedical University GrazAuenbruggerplatz 2.2Graz8036Austria
| | - Christian Baumgartner
- BioTechMed‐GrazGraz8010Austria
- Institute of Health Care Engineering with European Testing Center of Medical DevicesGraz University of TechnologyGraz8010Austria
| | - Muammer Üçal
- BioTechMed‐GrazGraz8010Austria
- Research Unit of Experimental NeurotraumatologyDepartment of NeurosurgeryMedical University GrazAuenbruggerplatz 2.2Graz8036Austria
| | - Gerd Leitinger
- BioTechMed‐GrazGraz8010Austria
- Gottfried Schatz Research CenterDivision of Cell BiologyHistology and EmbryologyMedical University of GrazNeue Stiftingtalstraße 6Graz8010Austria
| | - Susanne Scheruebel
- Gottfried Schatz Research CenterChair of BiophysicsMedical University of GrazNeue Stiftingtalstraße 6Graz8010Austria
| | - Silke Patz
- Research Unit of Experimental NeurotraumatologyDepartment of NeurosurgeryMedical University GrazAuenbruggerplatz 2.2Graz8036Austria
| | - Roland Malli
- BioTechMed‐GrazGraz8010Austria
- Gottfried Schatz Research CenterMolecular Biology and BiochemistryMedical University of GrazNeue Stiftingtalstraße 6/6Graz8010Austria
| | - Eric Daniel Głowacki
- Bioelectronics Materials and Devices LaboratoryCentral European Institute of TechnologyBrno University of TechnologyPurkyňova 123Brno61200Czech Republic
| | - Theresa Rienmüller
- BioTechMed‐GrazGraz8010Austria
- Institute of Health Care Engineering with European Testing Center of Medical DevicesGraz University of TechnologyGraz8010Austria
| | - Rainer Schindl
- Gottfried Schatz Research CenterChair of BiophysicsMedical University of GrazNeue Stiftingtalstraße 6Graz8010Austria
- BioTechMed‐GrazGraz8010Austria
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Langthaler S, Lozanović Šajić J, Rienmüller T, Weinberg SH, Baumgartner C. Ion Channel Modeling beyond State of the Art: A Comparison with a System Theory-Based Model of the Shaker-Related Voltage-Gated Potassium Channel Kv1.1. Cells 2022; 11:cells11020239. [PMID: 35053355 PMCID: PMC8773569 DOI: 10.3390/cells11020239] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 01/03/2022] [Accepted: 01/06/2022] [Indexed: 02/04/2023] Open
Abstract
The mathematical modeling of ion channel kinetics is an important tool for studying the electrophysiological mechanisms of the nerves, heart, or cancer, from a single cell to an organ. Common approaches use either a Hodgkin-Huxley (HH) or a hidden Markov model (HMM) description, depending on the level of detail of the functionality and structural changes of the underlying channel gating, and taking into account the computational effort for model simulations. Here, we introduce for the first time a novel system theory-based approach for ion channel modeling based on the concept of transfer function characterization, without a priori knowledge of the biological system, using patch clamp measurements. Using the shaker-related voltage-gated potassium channel Kv1.1 (KCNA1) as an example, we compare the established approaches, HH and HMM, with the system theory-based concept in terms of model accuracy, computational effort, the degree of electrophysiological interpretability, and methodological limitations. This highly data-driven modeling concept offers a new opportunity for the phenomenological kinetic modeling of ion channels, exhibiting exceptional accuracy and computational efficiency compared to the conventional methods. The method has a high potential to further improve the quality and computational performance of complex cell and organ model simulations, and could provide a valuable new tool in the field of next-generation in silico electrophysiology.
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Affiliation(s)
- Sonja Langthaler
- Institute of Health Care Engineering with European Testing Center for Medical Devices, Graz University of Technology, A-8010 Graz, Austria; (S.L.); (J.L.Š.); (T.R.)
| | - Jasmina Lozanović Šajić
- Institute of Health Care Engineering with European Testing Center for Medical Devices, Graz University of Technology, A-8010 Graz, Austria; (S.L.); (J.L.Š.); (T.R.)
- Innovation Center of the Faculty of Mechanical Engineering, University of Belgrade, 11000 Belgrade, Serbia
| | - Theresa Rienmüller
- Institute of Health Care Engineering with European Testing Center for Medical Devices, Graz University of Technology, A-8010 Graz, Austria; (S.L.); (J.L.Š.); (T.R.)
| | - Seth H. Weinberg
- Department of Biomedical Engineering, The Ohio State University, Columbus, OH 43210, USA;
- Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, OH 43081, USA
| | - Christian Baumgartner
- Institute of Health Care Engineering with European Testing Center for Medical Devices, Graz University of Technology, A-8010 Graz, Austria; (S.L.); (J.L.Š.); (T.R.)
- Correspondence:
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