Abstract
Most living organisms possess varying degrees of regenerative capabilities but how these regenerative processes are controlled is still poorly understood. Naturally occurring bioelectric voltages (like Vmem) are thought to be playing instructive role in tissue regeneration, as well as embryonic development. The different distribution of ions on the either side of the cell membrane results in intra- and extra-cellular voltage differences, known as membrane potential or Vmem. The relationship between Vmem and cell physiology is conserved in a wide range of cell types and suggests that Vmem regulation is a fundamental control mechanism for regeneration related processes e.g., proliferation and differentiation. In the present study we measured Vmem in three different cell types (human osteogenic sarcoma cell line (OSC), rat bone marrow derived mesenchymal stem cells (BM-MSC), and rat dermal fibroblasts) and characterized the relationship between their Vmem and proliferation. In order to find out if Vmem controls proliferation, or visa-versa, we blocked and then unblocked Na+/K+-exchanging ATPase using ouabain and measured the proliferation. Our results demonstrate that Vmem can be pharmacologically manipulated to control proliferation in certain cell types like BM-MSC. Taken together, it is clear that control of bioelectrical properties in non-excitable cells could prove to be potentially a useful tool in regenerative medicine efforts.
Introduction
Current reconstructive treatments aimed at restoring normal form and function to diseased, injured or missing tissues and/or organs use a patient's own tissues, tissues and organs transplanted from donors, or prosthetic devices. While these treatments enjoy varying degrees of success, they are often associated with drawbacks such as limited donor availability, infection, immunological rejection, and high costs (Mao and Mooney, ). In contrast, regenerative therapies could potentially restore normal tissue form and function, without these drawbacks (Levin and Stevenson, ; Bessonov et al., ; Tyler, ). While most living organisms possess varying degrees of regenerative capabilities, the signals that control these processes are still poorly understood. Naturally occurring bioelectric signals have been shown to play an important role in tissue regeneration, as well as embryonic development (Gurtner and Chapman, ; Tyler, ).
Bioelectricity originates at the cell membrane from a constant imbalance in charge between the intra- and extracellular compartments, caused by the passage of ions (Na+, K+, Ca2+, Cl−, etc.) through different types of ion pumps and channels. The different distribution of these ions on either side of the cell membrane results in intra- and extra-cellular voltage differences, known as membrane potential or Vmem (Levin et al., ). Such a balance is maintained via passive and active ion transport through various ion channels and transporters located within the membrane (Sundelacruz et al., ). Membrane potential forces ions to passively move in one direction: positive ions are attracted by the “negative” side of the membrane and negative ions by the “positive” one (Hammond, ). If we suppose that there is no concentration gradient for any ions (there is the same concentration of each ion in the extracellular and intracellular media), ions will diffuse according to membrane potential only positively charged ions, the cations Na+, Ca2+ and K+, will move from the extracellular medium to the intracellular one according to membrane potential. In contrast, anions (Cl−) will move from the intracellular medium to the extracellular one. Vmem is expressed relative to the extracellular environment so that a cell is “depolarized” when its Vmem is less negative, while a cell is “hyperpolarized” when its Vmem is more negative (Cervera et al., ; Erndt-Marino and Mariah, ). Accordingly, Vmem values of rapidly proliferating embryonic and tumor cells, generally have high “depolarized” Vmem values, whereas non-proliferating, terminally differentiated somatic cells, such as, skeletal muscle cells, neurons and fibroblasts typically have low “hyperpolarized” Vmem values as shown in Figure 1 (Binggeli and Weinstein, ; Chernet and Levin, ; Levin et al., ; Sundelacruz et al., ).
Figure 1
The relationship between Vmem and –cell physiology is conserved in a wide range of cell types (precursor and mature cells; proliferative and quiescent cells; normal and cancerous cells) and suggests that Vmem regulation is a fundamental control mechanism for regeneration related processes e.g., proliferation and differentiation (Sundelacruz et al.,
Materials and Methods
All experiments were performed in accordance with guidelines established by our animal care and oversight committed at the Johann Wolfgang Goethe University in Frankfurt am Main, according to German animal welfare act §4 and EU Act 2010/63 for the protection of laboratory animals.
Cell Preparation and Culture
Rat BM-MSC were purchased from Cyagen Biosciences (Santa Clara, CA, USA Cat. No. RASMD-01001), fibroblasts were extracted from the skin of already euthanized rats (Seluanov et al.,
Na+/K+-Exchanging ATPase Blocker
Na+/K+-exchanging ATPase blocking was achieved using ouabain (10 μM, Sigma-Aldrich) which was added to the medium from a fresh stock solution in distilled water. This blocking effect was reversed (unblocked) by washing the cells 5 times with 1X PBS.
Experimental Design
Each cell type was divided into two groups, (1) Cells with no blocker (control); (2) Cells with Na+/K+-exchanging ATPase blocker (ouabain). All cells/groups were cultured for 14 days during which time measurements were performed on days 0, 3, 5, 7, 10, and 14.
Vmem Measurements
To visualize and measure Vmem changes at predetermined measurement time points (0, 3, 5, 7, 10, and 14 days) during proliferation, cells were dyed with the anionic voltage-sensitive dye, Bis-(1,3-diethylthiobarbituricacid) trimethine Oxonol [DiBAC4(3), Invitrogen, Carlsbad, CA, USA], whose uptake by cells is voltage dependent. Higher dye uptake is seen in more depolarized cells (Adams and Levin,
Cell Proliferation
To measure cell proliferation, cell number was evaluated using PicoGreen assay according to the manufacture's protocol (Quant-iTTM PicoGreen, ThermoFisher, Germany) at days 0, 3, 5, 7, 10, and 14. Briefly, cells were washed two times with PBS, treated with lysis buffer (400 mM potassium phosphate buffer, 2% Triton X100, 10 mM EDTA, pH 7.0), and cell lysates were used for DNA content measurements. A serial dilution of a known number of cells was lysed with lysis buffer and used to create a calibration curve showing the correlation between cell number and fluorescence. This latter procedure allowed us to indirectly determine the number of cells in the cultured wells via a calibration curve and measurement of DNA content through fluorescence of Pico-green.
Cell Viability
To measure cell viability, AlamarBlue assay was performed at days 0, 3, 5, 7, 10, and 14. The AlamarBlue Assay incorporates an oxidation-reduction (REDOX) indicator that changes color in response to chemical reduction of growth medium resulting from cell growth. As cells being tested grow, innate metabolic activity results in a chemical reduction of AlamarBlue (resazurin) to resorufin. AlamarBlue assay was performed according to the manufacturer's protocol (AlamarBlue® Cell proliferation assay Kit, BIORAD). Briefly, the culture medium was completely aspirated from the wells and cells were washed twice with sterile PBS. One milliliter of fresh medium was added along with 100 μl of AlamarBlue reagent. Additionally, wells containing medium and AlamarBlue reagent only (no cells) were used for blank measurements. Cells and blank samples were incubated for 4 h (37°C, 5% CO2). After 4 h incubation, three aliquots (100 μl) of each sample were pipetted in a 96 well plate and absorbance was measured at 570 and 600 nm using plate reader (Infinite 200PRO Tecan, München, Germany). Absorbance mean values of triplicates for each sample were calculated and the percentage of Alamar blue reduction was calculated using a formula described in the manufacturer's protocol (AlamarBlue® Cell proliferation assay Kit, BIORAD).
Data Analysis and Statistics
All experiments were performed in triplicate and the data is presented as the box and whisker plots unless otherwise indicated. The distribution of the data was checked using Shapiro-wilk test (p < 0.05 = non-parametric, p > 0.05 = parametric). The statistical significance of differences between the groups and time points was analyzed by non-parametric Friedman test and a Bonferroni corrected p < 0.05 was used to indicate statistical significance. The p-values are indicated on the plot using asterisks (*p < 0.05, **p < 0.01). Statistics were calculated using the software Bias 11.03 (Epsilon-Verlag, Darmstadt, Germany).
Results
Vmem Profiles of Different Cell Types
Vmem was measured in the three different cell types using voltage-sensitive dye DiBAC4(3) at different time points, as shown in Figure 2. Vmem values (fluorescence intensity) of BM-MSC increased from day 0 to day 10, significant at day 3 and 10 (p < 0.05). However, Vmem values significantly decreased (p < 0.01) at day 14. Vmem in fibroblasts, was constant during the entire time course. Vmem values in OSC increased, throughout, from day 0 to 14, significant at day 3, 7, 10, and 14 day 10 (p < 0.05) (see Supplementary Table 1 for details).
Figure 2

Images and graph of BM-MSC, fibroblasts, and OSC Vmem levels. (A) Representative fluorescence images of Vmem in BM-MSC, Fibroblasts and OSC at days 0, 3, 7, and 14. (B) Vmem (fluorescence intensity), of BM-MSC, (C) fibroblasts and (D) OSC at days 0, 3, 5, 7, 10, and 14 represented using Box and whisker plots (n = 114–135, 5–10 cells/Image from 15 images). Scale bar = 200 μm. Asterisks indicate degree of significant differences between groups at the same time points, *p < 0.05, **p < 0.01.
Cell Proliferation and Vmem Measurements
Cell proliferation and Vmem in all three cell types were measured using PicoGreen assay and DiBAC4(3) voltage-sensitive fluorescent dye, respectively. Further, to determine the correlation, if any, between the cell proliferation and Vmem, non-parametric Spearman correlation analysis was performed (Figures 3A–C). A moderate correlation between the cell number and Vmem was observed in BMMSC (ρ = 0.42) and in OSC (ρ = 0.48). However, no correlation (ρ = −0.2) was found between the cell number and Vmem in fibroblasts (Figure 3B) (see Supplementary Table 2 for details).
Figure 3

Nonparametric Spearman correlation analysis. Correlation between cell proliferation (cell number) and Vmem measurements. (A) BM-MSC, (B) fibroblasts, and (C) OSC proliferation (cell number) measured via fluorescence intensity (Vmem) at days 0, 3, 5, 7, 10, and 14. The Spearman correlation coefficient (ρ) is indicated. The Vmem values are taken from Figures 2B–D.
Na+/K+-Exchanging ATPase Blocking and Cell Proliferation
Na+/K+-exchanging ATPase was blocked, using ouabain, in all three cell types. During the blocking period, cell proliferation and viability were measured using PicoGreen and AlamarBlue, respectively. In the case of BM-MSC, the control group showed a significant increase (p < 0.01) in proliferation (cell number) from day 0 through 14, while cells treated with ouabain, showed neither increase nor decrease in the cell number (Figure 4A, left graph). In addition, BM-MSC Vmem, blocked with ouabain, showed a significant reduction (p < 0.01) in cell metabolic activity at all the time points (Figure 4A, right graph). In contrasts, fibroblasts treated with ouabain, showed an increase in the cell number (significant at day 10 and day 14, p < 0.01) compared to their respective controls (Figure 4B). OSC treated with ouabain, showed a significant (p < 0.01) decrease in the cell number, especially at days 3, 5, 7, and 14 (Figure 4C, left graph). In addition, in ouabain treated OSC metabolic activity was significantly reduced (p < 0.01) at days 0, 3, 7, 10, and 14 (Figure 4C, right graph). The negligible negative values seen in OSC treated with Ouabain (Figure 4C, right) at later time points is due to the cytotoxic effect of Ouabain and drastic reduction in the cell number at later time points (Figure 4C, left graph). Apparently, there is almost no cells in these group at Day 10, 14 timepoints and therefore it is only % reduction of the culture medium. The calculations of % of reduction is always made against the negative control (medium only) samples and obtained negative values could be result of differences among mediums (pH) in samples and negative control wells since AlamarBlue is influenced by the pH of the cell growth medium (Rampersad,
Figure 4

Graphs of BM-MSC, Fibroblasts, and OSC Vmem blocking (Na+-K+ ATPase) and cell proliferation. (A) Left- BM-MSC proliferation (cell number) measured in ouabain blocked and non-treated controls. Right- BM-MSC cell metabolic activity (% reduction of Alamar blue) measured in ouabain blocked and non-treated controls. (B) Left- fibroblasts proliferation (cell number) measured in ouabain blocked and non-treated controls. Right- fibroblast cell metabolic activity (% reduction of Alamar blue) measured in ouabain blocked and non-treated controls. (C) Left- OSC proliferation (cell number) measured in ouabain blocked and non-treated controls. Right- OSC cell metabolic activity (% reduction of Alamar blue) measured in ouabain blocked and non-treated controls. Asterisks indicate degree of significant differences between groups at the same time points. **p < 0.01. The cell numbers for control values are taken from Figure 3.
Unblocking Na+/K+-Exchanging ATPase in BM-MSC
In order to unblock Na+/K+-exchanging ATPase, reversing the blocking effect of ouabain, BM-MSC were first treated with ouabain until day 3 and then washed five times using 1X PBS. The cell number and metabolic activity were visualized and measured at days 0, 3, 5, and 7 using PicoGreen and AlamarBlue, respectively. During the blocking phase, cells displayed significant (p < 0.05) reduction in number at day 3 with reduced (though not significant) cell metabolic activity (Figures 5A,B). After unblocking (washing with PBS), cell numbers were increased at days 5 and significantly at (p < 0.01) day 7. In addition, cell metabolic activity was significantly (p < 0.01) increased at day 7 (Figures 5A,B) (see Supplementary Table 5 for details).
Figure 5

Graph of blocked and unblocked Na+/K+-exchanging ATPase of BM-MSC and proliferation. (A) BM-MSC proliferation (cell number) measured during blocking (ouabain) at days 3 and 5, and after unblocking (washing) at days 5 and 7. (B) BM-MSC cell metabolic activity (% reduction of Alamar blue) measured during blocking (ouabain) of Na+/K+-exchanging ATPase at days 3 and 5 and unblocking (washing) at days 5 and 7. Asterisks indicate degree of significant differences between groups at the same time points, *p < 0.05, **p < 0.01.
Discussion
The complex processes of tissue development, healing and regeneration involve multiple cellular activities like, proliferation, migration, adhesion and differentiation, all of which are, at least partially, regulated by Vmem related bioelectric signaling (Sundelacruz et al.,
Pharmacological blocking of ion channels has been a popular method to study Vmem function. Using small molecule drugs to target specific ion channels of cells allows the precise control of a given cells' Vmem profile (Blackiston et al.,
In our experiments, we found that using ouabain to block Na+/K+-exchanging ATPase significantly decreased proliferation and reduced cell metabolic activity in BM-MSC. In order to confirm this finding, we subsequently unblocked the Na+/K+-exchanging ATPase, reversing Ouabain's effect and restoring proliferation and cell metabolic activity to their pre-blocked levels. This finding demonstrates that, by increasing or decreasing these cell's Vmem, in this case using pharmacological blockers, one can control their proliferative capacity. In summary, our results suggest that pharmacological blocking/unblocking of Na+/K+ ATPase may provide a pro-proliferative environment in therapeutic tissue engineering applications where BM-MSC are used. Ouabain, that blocks Na+/K+ ATPase, is commonly used to treat congestive heart failure and supraventricular arrhythmias (Wu et al.,
In dermal fibroblasts we found that using ouabain to block, initially (days 0–7) had no effect on proliferation, and then at days 10 and 14 blocking Na+/K+-exchanging ATPase in the cells caused an increase in proliferation, compared to controls. This finding coincides with those of others who reported that lower concentration of ouabain can induce proliferation in several different cell types, including fibroblasts (Orlov et al.,
We found that in OSC, blocking Na+/K+-exchanging ATPase with ouabain induced cell death at the later time points (days 7, 10, 14). In a similar study, Chou et al. (
Our in-vitro results demonstrate that Vmem can be pharmacologically manipulated to control proliferation in certain cell types like BM-MSC. If reproduced in in-vivo models this may be used to regulate specific cell behaviors in cell-based clinical therapies to optimize their effectiveness.
Statements
Data availability statement
All datasets generated for this study are included in the article/Supplementary Material.
Author contributions
MB conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, and assisted in preparing the manuscript for publication. LL conceived and designed the experiments, contributed reagents/materials/analysis tools, and assisted in preparing the manuscript for publication. KC assisted in preparing the manuscript for publication. JB edited and corrected the manuscript. All authors contributed to the article and approved the submitted version.
Funding
This study was supported in part by the Friedrichsheim Foundation (Stiftung Friedrichsheim) based in Frankfurt/Main, Germany.
Acknowledgments
We thank Prof. Dr. Dirk Henrich (Department of Trauma-, Hand- & Reconstructive Surgery, J.W. Goethe University Frankfurt) for providing Osteosarcoma cell lines. We also thank Dr. Annette Lehn and Dr. Neelam Lingwal (Institut of Biostatistics und Mathematical modeling, Universitätsklinikum Frankfurt) for their help with statistical calculations of the data.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fbioe.2020.00603/full#supplementary-material
Supplementary Table 1Raw data of Vmem measurements in BMMSC, Fibroblasts, and OSC (Figure 2).
Supplementary Table 2Raw data of Vmem and cell number for calculating Spearman correlation coefficient (Figure 3).
Supplementary Table 3Raw data of AlamarBlue measurement in BMMSC, Fibroblasts, and OSC (Figure 4).
Supplementary Table 4Raw data of pico-green measurement in BMMSC, Fibroblasts, and OSC (Figure 5).
Supplementary Table 5Raw data of picogreen and AlamarBlue measurement for blocking-unblocking experiments in BMMSC (Figure 5).
References
1
AdamsD. S.LevinM. (2014). General principles for measuring resting membrane potential and ion concentration using fluorescent bioelectricity reporters. Cold Spring Harb. Protoc. 2012, 385–397. 10.1101/pdb.top067710
2
BessonovN.LevinM.MorozovaN.ReinbergN.TosenbergerA.VolpertV. (2015). Target morphology and cell memory: a model of regenerative pattern formation. Neural Regen. Res. 10, 1901–1905. 10.4103/1673-5374.165216
3
BhavsarM. B.BarkerJ. H.CatoG.HauschildA.LeppikL.Eischen-LogesM. J.et al. (2019). Membrane potential (V mem) measurements during mesenchymal stem cell (MSC) proliferation and osteogenic differentiation. PeerJ7:e6341. 10.7717/peerj.6341
4
BinggeliR.WeinsteinR. C. (1986). Membrane potentials and sodium channels: hypotheses for growth regulation and cancer formation based on changes in sodium channels and gap junctions. J. Theor. Biol. 123, 377–401. 10.1016/S0022-5193(86)80209-0
5
BlackistonD. J.McLaughlinK. A.LevinM. (2009). Bioelectric controls of cell proliferation: ion channels, membrane voltage and the cell cycle. Cell Cycle8, 3519–3528. 10.4161/cc.8.21.9888
6
CameroI. L.SmithN. K. R.PoolT. B.SparksR. L. (1980). Intracellular concentration of sodium and other elements as related to mitogenesis and oncogenesis in vivo. Cancer Res. 40, 1493–1500.
7
CarpizoK. H.SaranM. J.HuangW.IshidaK.RoostaeianJ.BischoffD.et al. (2008). Pretreatment of poly(L-lactide-co-glycolide) scaffolds with sodium hydroxide enhances osteoblastic differentiation and slows proliferation of mouse preosteoblast cells. Plast. Reconstr. Surg. 121, 424–434. 10.1097/01.prs.0000298366.74273.da
8
CerveraJ.AlcarazA.MafeS. (2016). Bioelectrical signals and ion channels in the modeling of multicellular patterns and cancer biophysics. Sci. Rep. 6:20403. 10.1038/srep20403
9
ChenD.SongM.MohamadO.YuS. P. (2014). Inhibition of Na+/K+-ATPase induces hybrid cell death and enhanced sensitivity to chemotherapy in human glioblastoma cells. BMC Cancer14:716. 10.1186/1471-2407-14-716
10
ChernetB. T.LevinM. (2013). Transmembrane voltage potential is an essential cellular parameter for the detection and control of tumor development in a Xenopus model. DMM Dis. Model. Mech. 6, 595–607. 10.1242/dmm.010835
11
ChouW. H.LiuK. L.ShihY. L.ChuangY. Y.ChouJ.LuH. F.et al. (2018). Ouabain induces apoptotic cell death through caspase- and mitochondria-dependent pathways in human osteosarcoma U-2 OS cells. Anticancer Res. 38, 169–178. 10.21873/anticanres.12205
12
Erndt-MarinoJ.MariahH. (2016). Membrane potential controls macrophage activation. Front. Bioeng. Biotechnol.4:360. 10.3389/conf.FBIOE.2016.01.00360
13
EstacionM. (1991). Characterization of ion channels seen in subconfluent human dermal fibroblasts. J. Physiol.436, 579–601. 10.1113/jphysiol.1991.sp018568
14
GargT.SinghO.AroraS.MurthyR. S. R. (2012). Scaffold: a novel carrier for cell and drug delivery. Crit. Rev. Ther. Drug Carrier Syst. 29, 1–63. 10.1615/CritRevTherDrugCarrierSyst.v29.i1.10
15
GurtnerG. C.ChapmanM. A. (2016). Regenerative medicine: charting a new course in wound healing. Adv. Wound Care5, 314–328. 10.1089/wound.2015.0663
16
HammondC. (2015). Chapter 3: Ionic gradients, membrane potential and ionic currents, in Cellular and Molecular Neurophysiology: 4th Edn. (Boston, MA: Academic Press), 39–54. 10.1016/B978-0-12-397032-9.00003-0
17
IsaevN. K.StelmashookE. V.HalleA.HarmsC.LautenschlagerM.WeihM.et al. (2000). Inhibition of Na+,K+-ATPase activity in cultured rat cerebellar granule cells prevents the onset of apoptosis induced by low potassium. Neurosci. Lett. 283, 41–44. 10.1016/S0304-39400000903-4
18
KretlowJ. D.KloudaL.MikosA. G. (2007). Injectable matrices and scaffolds for drug delivery in tissue engineering. Adv. Drug Deliv. Rev. 59, 263–273. 10.1016/j.addr.2007.03.013
19
LevinM.SelbergJ.RolandiM. (2019). Endogenous bioelectrics in development, cancer, and regeneration: drugs and bioelectronic devices as electroceuticals for regenerative medicine. iScience22, 519–533. 10.1016/j.isci.2019.11.023
20
LevinM.StevensonC. G. (2012). Regulation of cell behavior and tissue patterning by bioelectrical signals: challenges and opportunities for biomedical engineering. Annu. Rev. Biomed. Eng. 14, 295–323. 10.1146/annurev-bioeng-071811-150114
21
LiuN.LiY.SuS.WangN.WangH.LiJ. (2013). Inhibition of cell migration by ouabain in the A549 human lung cancer cell line. Oncol. Lett. 6, 475–479. 10.3892/ol.2013.1406
22
MaoA. S.MooneyD. J. (2015). Regenerative medicine: current therapies and future directions. Proc. Natl. Acad. Sci. U.S.A. 112, 14452–14459. 10.1073/pnas.1508520112
23
NguyenA. N. T.WallaceD. P.BlancoG. (2007). Ouabain binds with high affinity to the Na,K-ATPase in human polycystic kidney cells and induces extracellular signal-regulated kinase activation and cell proliferation. J. Am. Soc. Nephrol. 18, 46–57. 10.1681/ASN.2006010086
24
OrlovS. N.Thorin-TrescasesN.KotelevtsevS. V.TremblayJ.HametP. (1999). Inversion of the intracellular Na+/K+ ratio blocks apoptosis in vascular smooth muscle at a site upstream of Caspase-3. J. Biol. Chem. 274, 16545–16552. 10.1074/jbc.274.23.16545
25
PongrakhananonV.ChunhachaP.ChanvorachoteP. (2013). Ouabain suppresses the migratory behavior of lung cancer cells. PLoS ONE8:e68623. 10.1371/journal.pone.0068623
26
RampersadS. N. (2012). Multiple applications of alamar blue as an indicator of metabolic function and cellular health in cell viability bioassays. Sensors12, 12347–12360. 10.3390/s120912347
27
SchonerW. (2000). Ouabain, a new steroid hormone of adrenal gland and hypothalamus. Exp. Clin. Endocrinol. Diabetes108, 449–454. 10.1055/s-2000-8140
28
SeluanovA.VaidyaA.GorbunovaV. (2010). Establishing primary adult fibroblast cultures from rodents. J. Vis. Exp. 44:2033. 10.3791/2033
29
SenguptaP.PrasadB. L. V. (2018). Surface modification of polymers for tissue engineering applications: arginine acts as a sticky protein equivalent for viable cell accommodation. ACS Omega3, 4242–4251. 10.1021/acsomega.8b00215
30
ShenJ. J.ZhanY. C.LiH. Y.WangZ. (2019). Ouabain impairs cancer metabolism and activates AMPK-Src signaling pathway in human cancer cell lines. Acta Pharmacol. Sin. 41, 110–118. 10.1038/s41401-019-0290-0
31
SparksR. L.PoolT. B.SmithN. K. R.CameronI. L. (1983). Effects of amiloride on tumor growth and intracellular element content of tumor cells in vivo. Cancer Res. 43, 73–77.
32
SundelacruzS.LevinM.KaplanD. L. (2008). Membrane potential controls adipogenic and osteogenic differentiation of mesenchymal stem cells. PLoS ONE3:e3737. 10.1371/journal.pone.0003737
33
SundelacruzS.LevinM.KaplanD. L. (2009). Role of membrane potential in the regulation of cell proliferation and differentiation. Stem Cell Rev. Rep.5, 231–246. 10.1007/s12015-009-9080-2
34
SundelacruzS.MoodyA. T.LevinM.KaplanD. L. (2019). Membrane potential depolarization alters calcium flux and phosphate signaling during osteogenic differentiation of human mesenchymal stem cells. Bioelectricity1, 56–66. 10.1089/bioe.2018.0005
35
TylerS. E. B. (2017). Nature's electric potential: a systematic review of the role of bioelectricity in wound healing and regenerative processes in animals, humans, and plants. Front. Physiol. 8:627. 10.3389/fphys.2017.00627
36
WinnickaK.BielawskiK.BielawskaA.MiltykW. (2010). Dual effects of ouabain, digoxin and proscillaridin a on the regulation of apoptosis in human fibroblasts. Nat. Prod. Res. 24, 274–285. 10.1080/14786410902991878
37
WinnickaK.BielawskiK.BielawskaA.SurazynskiA. (2008). Antiproliferative activity of derivatives of ouabain, digoxin and proscillaridin A in human MCF-7 and MDA-MB-231 breast cancer cells. Biol. Pharm. Bull. 31, 1131–1140. 10.1248/bpb.31.1131
38
WongT.McGrathJ. A.NavsariaH. (2007). The role of fibroblasts in tissue engineering and regeneration. Br. J. Dermatol. 156, 1149–1155. 10.1111/j.1365-2133.2007.07914.x
39
WuJ.LiD.DuL.BaldawiM.GableM. E.AskariA.et al. (2015). Ouabain prevents pathological cardiac hypertrophy and heart failure through activation of phosphoinositide 3-kinase α in mouse. Cell Biosci. 5:64. 10.1186/s13578-015-0053-7
40
XiaoY.MengC.LinJ.HuangC.ZhangX.LongY.et al. (2017). Ouabain targets the Na+/K+-ATPase α3 isoform to inhibit cancer cell proliferation and induce apoptosis. Oncol. Lett. 14, 6678–6684. 10.3892/ol.2017.7070
41
YangM.BrackenburyW. J. (2013). Membrane potential and cancer progression. Front. Physiol. 4:185. 10.3389/fphys.2013.00185
Summary
Keywords
membrane potential, Vmem, cell proliferation, ouabain, mesenchymal stem cells, osteogenic sarcoma cells, fibroblasts
Citation
Bhavsar MB, Leppik L, Costa Oliveira KM and Barker JH (2020) Role of Bioelectricity During Cell Proliferation in Different Cell Types. Front. Bioeng. Biotechnol. 8:603. doi: 10.3389/fbioe.2020.00603
Received
21 February 2020
Accepted
18 May 2020
Published
02 July 2020
Volume
8 - 2020
Edited by
Martin James Stoddart, AO Research Institute, Switzerland
Reviewed by
Dany Spencer Adams, Ion Diagnostics LLC, United States; Lorenzo Fassina, University of Pavia, Italy
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© 2020 Bhavsar, Leppik, Costa Oliveira and Barker.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Mit Balvantray Bhavsar mbhavsa@gwdg.de
This article was submitted to Tissue Engineering and Regenerative Medicine, a section of the journal Frontiers in Bioengineering and Biotechnology
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