Influence of Cellular Properties on the Electric Field Distribution Around a Single Cell

Ye, Hui; Cotic, Marija; Fehlings, Michael G.; Carlen, Peter L.

doi:10.2528/pierb11122705

Cited by 8 publications

(9 citation statements)

References 41 publications

(61 reference statements)

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“…The standard values assigned to these tissue types were σ i = 0.3 S/m, σ e = 1.2 S/m, σ m = 3e-7 S/m, ε i = 72.3, ε e = 72.3, ε m = 5. These values were adapted from computational studies conducting similar investigations [47]- [56]. Since a large range of properties are expected within the population of glial cells [46], different ranges of these parameters were tested to investigate how the dielectric properties of cells influence their response to TTFields (see Section II-A-2).…”

Section: A Cellular Level Modelingmentioning

confidence: 99%

A Review on Tumor-Treating Fields (TTFields): Clinical Implications Inferred From Computational Modeling

Wenger

Miranda

Salvador

et al. 2018

IEEE Rev. Biomed. Eng.

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Tumor-treating fields (TTFields) are a cancer treatment modality that uses alternating electric fields of intermediate frequency (∼100-500 kHz) and low intensity (1-3 V/cm) to disrupt cell division. TTFields are delivered by transducer arrays placed on the skin close to the tumor and act regionally and noninvasively to inhibit tumor growth. TTFields therapy is U.S. Food and Drug Administration approved for the treatment of glioblastoma multiforme, the most common and aggressive primary human brain cancer. Clinical trials testing the safety and efficacy of TTFields for other solid tumor types are underway. The objective of this paper is to review computational approaches used to characterize TTFields. The review covers studies of the macroscopic spatial distribution of TTFields generated in the human head, and of the microscopic field distribution in tumor cells. In addition, preclinical and clinical findings related to TTFields and principles of its operation are summarized. Particular emphasis is put on outlining the potential clinical value inferred from computational modeling.

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Section: A Cellular Level Modelingmentioning

confidence: 99%

A Review on Tumor-Treating Fields (TTFields): Clinical Implications Inferred From Computational Modeling

Wenger

Miranda

Salvador

et al. 2018

IEEE Rev. Biomed. Eng.

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“…The color bar indicates the amount of membrane potential change due to electric stimulation. All the parameters for this modeled cell is listed in [ 74 ]. c .…”

Section: Reviewmentioning

confidence: 99%

“…Intracellular field distribution. Figures c to e are adapted from [ 74 ], with arrows to represent the direction of the electric fields. The size of the arrows represents the intensity of the electric field in each plots.…”

Section: Reviewmentioning

confidence: 99%

“…Numerical modeling results [ 73 ] have shown that membrane conductivity affects the field distribution around and within an intact singular cell. The intracellular field increases greatly as membrane resistance decreases, and is dependent on cell radius and membrane thickness [ 74 ]. During electroporation, transit pore formation can change the direction of the field distribution and electric driving force near to the pore, thus, the magnitude of the electric field proximal to the poles is significantly decreased [ 72 , 73 , 75 ].…”

Section: Reviewmentioning

confidence: 99%

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Neuron matters: electric activation of neuronal tissue is dependent on the interaction between the neuron and the electric field

Steiger

2015

J NeuroEngineering Rehabil

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In laboratory research and clinical practice, externally-applied electric fields have been widely used to control neuronal activity. It is generally accepted that neuronal excitability is controlled by electric current that depolarizes or hyperpolarizes the excitable cell membrane. What determines the amount of polarization? Research on the mechanisms of electric stimulation focus on the optimal control of the field properties (frequency, amplitude, and direction of the electric currents) to improve stimulation outcomes. Emerging evidence from modeling and experimental studies support the existence of interactions between the targeted neurons and the externally-applied electric fields. With cell-field interaction, we suggest a two-way process. When a neuron is positioned inside an electric field, the electric field will induce a change in the resting membrane potential by superimposing an electrically-induced transmembrane potential (ITP). At the same time, the electric field can be perturbed and re-distributed by the cell. This cell-field interaction may play a significant role in the overall effects of stimulation. The redistributed field can cause secondary effects to neighboring cells by altering their geometrical pattern and amount of membrane polarization. Neurons excited by the externally-applied electric field can also affect neighboring cells by ephaptic interaction. Both aspects of the cell-field interaction depend on the biophysical properties of the neuronal tissue, including geometric (i.e., size, shape, orientation to the field) and electric (i.e., conductivity and dielectricity) attributes of the cells. The biophysical basis of the cell-field interaction can be explained by the electromagnetism theory. Further experimental and simulation studies on electric stimulation of neuronal tissue should consider the prospect of a cell-field interaction, and a better understanding of tissue inhomogeneity and anisotropy is needed to fully appreciate the neural basis of cell-field interaction as well as the biological effects of electric stimulation.

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“…Previously, geometric features of the cell, such as cell size, [45] shape, [46] and its orientation to the field [47,48] were found to be essential in understanding the consequence of electric stimulation. Furthermore, electrical properties of the biological cells, such as membrane conductivity [49] and dielectricity, [50] also play significant roles in the cellular response to the electric field. A detailed review on this topic could be found elsewhere.…”

Section: Discussionmentioning

confidence: 99%

Deformation but not migration and rotation – a model study on vesicle biomechanics in a uniform DC electric field

Curcuru

2016

JBEI

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Background: Biological cells migrate, deform and rotate in various types of electric fields, which have significant impact on the normal cellular physiology. To investigate electrically-induced deformation, researchers have used artificial giant vesicles that mimic the phospholipid bilayer cell membrane. Containing primarily the neutral molecule phosphatidylcholine, these vesicles deformed under evenly distributed, strong direct current (DC) electric fields. Interestingly, they did not migrate or rotate. A biophysical mechanism underlying the kinematic differences between the biological cells and the vesicles under electric stimulation has not been worked out. Methods: We modeled the vesicle as a leaky, dielectric sphere and computed the surface pressure, rotation torques and translation forces applied on the vesicle by a DC electric field. We compared these measurements with those in a biological cell that contains non-zero, intrinsic charges (carried by the functional groups on the membrane). Results: For both the vesicle and the cell, the electrically-induced charges interacted with the local electric field to generate radial pressure for deformation. However, due to the symmetrical distribution of both the charges and the electric field on the vesicle/cell surface, the electric field could not generate net translation force or rotational torques. For a biological cell, the intrinsic charges carried by the cell membrane could account for its migration and rotation in a DC electric field. Conclusion: Results from this work suggests an interesting control diagram of cellular kinematics and movements by the electric field: cell deformation and migration can be manipulated by directly targeting different charged groups on the membrane. Fate of the cell in an electric field depends not only on the delicately controlled field parameters, but also on the biological properties of the cell.

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Influence of Cellular Properties on the Electric Field Distribution Around a Single Cell

Cited by 8 publications

References 41 publications

A Review on Tumor-Treating Fields (TTFields): Clinical Implications Inferred From Computational Modeling

A Review on Tumor-Treating Fields (TTFields): Clinical Implications Inferred From Computational Modeling

Neuron matters: electric activation of neuronal tissue is dependent on the interaction between the neuron and the electric field

Deformation but not migration and rotation – a model study on vesicle biomechanics in a uniform DC electric field

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