alternating current , extracellular vesicles, medulloblastoma, glioblastoma, gold
nanoparticles, endosomal escape.
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3
1. Introduction
Cells have honed their ability to maintain homeostasis throug h delicately balancing their
internal environment by exerting precise control over what enters and exits the cell. This fine-
tuned regulation is primarily orchestrated by cell and organelle membranes, the gateway to the
cell and organelles, respectively.1 The implications of this cellular control mechanism extend
far beyond basic biological processes. They hold profound significance in the realm of disease
treatment, particularly in the context of combating cancer. Cancer cells are notorious for their
ability to evade therapeutic interventions and have evolved strategies to resist the effects of
chemotherapy drugs through membrane bound organelles and particles such as endosomes and
extracellular vesicles (EVs) , respectively effectively t hwarting their intended actions .2 This
adaptation highlights the critical role played by cellular homeostasis in the development of
resistance and underscores the need for novel approaches to tune these transport mechanisms.
EVs play a crucial role in the function of glioblastoma (GBM) and more broadly gliomas,
which are difficult-to-treat cancers.3,4 Within this context, EVs have gained prominence due to
their critical role in various cellular processes, including intercellular communication, cell
signaling, and immune regulation. 5 GBM cells secrete these small membranous vesicles,
containing an array of cargo molecules such as proteins, RNA, and lipids. 6 EVs play a
significant role in GBM biology and pathogenesis, where they contribute to tumor growth,
invasion, and metastasis by delivering oncogenic proteins and signaling molecules to other
cells in the tumor microenvironment, suppressing the anti-tumor immune response, promoting
angiogenesis and inducing resistance to chemotherapy and radiation therapy5.
EVs have also emerge d as crucial transport system in medulloblastoma. Medulloblastoma-
derived EVs promote tumor growth, invasion, and metastasis, often by mechanisms akin to
those observed in GBM -derived EVs .7 The therapeutic potential of EVs in GBM and
medulloblastoma is under exploration. EVs could serve as vehicles for delivering therapeutic
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4
drugs or genes to tumor cells, modulating the tumor microenvironment to suppress tumor
growth and progression, or developing vaccines targeting tumor -specific antigens .8
Furthermore, the role of EVs as biomarkers for monitoring disease progression and therapy
response in patients with these aggressive brain tumors holds great promise. 9 Importantly for
this study, the reviews of the involvement of EVs in gliomas reveal evidence suggesting that
glioma cells utilise the vesicles to expel therapeutics, thereby enhancing resistance .4 The
challenges encountered in advanced drug delivery further underscore the importance of
understanding cellular homeostasis.10 A long standing challenge in advanced drug delivery is
that drugs and nanoparticles can be trafficked and siloed in endosomes and subsequently
degraded in lysosomes. To date, only a small fraction of these systems has advanced to clinical
use, mainly due to issues such as entrapment in endosomes and degradation in lysosomes. 11
For instance: delivery of siRNA and other chemotherapeutics by lipid nanoparticles or EV
based therapeutic delivery is limited by endosomal entrapment. 12, 13 This unfortunate fate can
render potentially life-saving medications ineffective.12
Consequently, there is an urgent need to develop widely applicable technologies that can
modulate and precisely control the trafficking of drug, molecules, and nanoparticles within
cells. By unraveling the intricate mechanisms and developing disruptive technological
approaches to govern intracellular transport, we can begin to overcome the challenges posed
to drug delivery and enhance the efficacy of treatments. Such advancements hold promise for
revolutionising the field of medicine and could one day improve patient outcomes.
Bioelectronic medicines are an emerging therapeutic approach 14 in which electrical input can
be used for the treatment of disease. There has been a recent shift to develop wireless electrical
system for triggering release of drugs from their carriers, as reviewed by Mirvakili and Langer
15, 16. Additionally, electroporation has been heavily studied for enhancing cell delivery of an
anti-cancer drug with the most recent study investigating this in single cells .17 We have
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5
previously demonstrated that ultrasound can be used intracellularly release drug from
liposomes.18 Our group has recently shown that AC could bypass the plasma membrane to exert
effects across the cell membrane.16, 19 Moreover, it has been established that electrical input on
lipid bilayers causes subtle structural perturbations in their structure.20Therefore, w e
hypothesized that by exploiting electrical input intracellular fate of nanoparticle-based delivery
systems for anti-cancer drugs could be modulated. This could influence two distinct processes
in cancer treatment: (1) transport of anticancer drug out of cell via EVs. Moderating EVs
transport processes would lead to increase cytoplasmic exposure of the drug and cancer cells
killing. (2) R elease of GNPs from endosomal/lysosomal compartment into cytoplasm. This
could lead to generation of new nanomedicine from labs to clinics for improved therapeutic
outcomes. To the best of our knowledge there has been no demonstration of using AC to
prevent transport of chemotherapies outside of cells via EVs. Furthermore, the added potential
of using AC to innovate nanoparticle drug delivery systems by increasing their accumulation
within the cytoplasm by facilitating endosomal escape.
In this work, we conducted a study aiming to merge electronics for delivery of AC with chemo-
resistant (Cisplatin - cis and Vincristine – vin) medulloblastoma and GBM cells. Our objective
was to investigate whether this delivery of HF-AC to cells could help overcome the problem
of EV-mediated drug transport in cancer cells and modulate the intracellular escape of
nanoparticles by influencing transport process . The results of our study successfully
demonstrate this concept, indicating that by combining electronics with cancer cells, we can
potentially introduce a new bioelectronic technology that holds promise for the treatment of
resistant cancers. Further dev elopment of this approach could enhance the efficacy of
chemotherapies and more broadly the field of cancer therapeutics.
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2. Methodology
2.1. Cell lines and standard culture conditions : Sonic-hedgehog (SHH) medulloblastoma
DAOY cell line was purchased from ATCC (ATCC® HTB-186™) and grown in DMEM with
10% fetal bovine serum (FBS, HyClone (Logan, Utah, USA). Three vehicle and cis -tolerant
MB Group3 cell lines (DT-D283-DMF, DT-D283-Cis, DT-HD-MB03-DMF, DT-HD-MB03-
Cis, DT -D458-DMF and DT -D458-Cis) were utilised, as previously published .21 The DT-
D283 and DT-D458 lines were derived in-house whereas the DT-HD-MB03-Cis was obtained
from Gianpiero Di Leva (Keele University, UK). DT-D283 and DT-D458 cells were cultured
in DMEM with 10% fetal bovine serum and the DT -D283-CisDT and DT -D458-CisDT
supplemented with 1.6 and 0.6 µ M cis (Selleckchem (Houston, TX, USA), S1166)
respectively. DT-HD-MB03 were grown in RPMI 1640 with 10% FBS and the DT-HD-MB03-
CisDT cells were supplemented with 0.5 µm cis. The equivalent volume of vehicle (DMF) was
added to the matched vehicle line. All cell lines were mycoplasma tested monthly and grown
in antibiotic-free culture conditions at 5% CO2 and 37 °C. EV-depleted FBS was generated by
ultracentrifugation at 100,000 × g at 4°C for 18 hours. Filter sterilization using a 0.22 µm filter
(Millipore) was carried out prior to its addition to culture medium, resulting in EV -depleted
medium.
GBM cells - Glioma INvasive Marginal 31 (GIN) cells from the infiltrative tumour margin and
Glioma Core Enhanced 31 (GCE) from the core of the tumor were isolated previously 22 16 .
Both GIN and GCE cells were cultured in DMEM (Gibco) supplemented with 10% FBS, 1%
Penicillin/Streptomycin and 1% L-Glutamine. Cells were maintained at 37°C in an incubator,
containing 5% CO2. Cells were tested for mycoplasma every month, where they were grown
in an antibiotic -free medium for one week before mycoplasma testing. All cells used were
mycoplasma-free.
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2.2 Generation of vincristine- and cisplatin-resistant cell lines
A continuous model of selection was used to generate drug-tolerant MB cell lines resistant to
vin and cis. SHH DAOY cells were cultured continuously in the presence of vin (Selleckchem,
S1241) and the concentration dose was escalated upon cell proliferation. Cells were passaged
in T-25 flasks and initially treated with 1/10th of their vin EC50 and the dose increased upon
cell proliferation. A matched DMSO vehicle cell line was generated alongside to account for
morphological and genetic changes resulting from vehicle exposure and long -term culture.
Cells were considered resistant when the EC50 against vincristine for the treated cells had
exceeded the treatment dose and was significantly increased in comparison to the EC50 of the
vehicle line. DT-DAOY cells were grown in DMEM with 10% FBS, and the DT-DAOY-VinDT
line supplemented with 2.8 nM vincristine. Akin to the DT-DAOY cells, cis-resistant cell lines
DT-D458, DT-HD-MB03 and DT -D283 were also generated in a similar manner.21 In brief,
cells were treated with increasing doses of cis until their EC50 exceeded the treatment dose or
was significantly increased in comparison to the vehicle cell line (DMF).
2.3 Drug cytotoxicity assay
Cells were seeded into clear bottomed, black -walled 96 -well plates (Greiner; 655096) at a
density of either 1 ×103 (DT-DAOY), 5 × 103 (DT-HD-MB03) or 1 × 104 (DT-D283 and DT-
D458) cells per well and left overnight. Cells were then challenged with varying concentrations
of vin or cis prior to being left for 72 hours at 37°C and 5% CO 2. After 72 hours, metabolic
activity was assessed using PrestoBlue (Thermo Fisher; A13262) and fluorescence was
measured using the FLUOstar Omega microplate reader at 560/590 nm . Cell viability was
calculated as a percentage relative to the vehicle control and EC50 were calculated in GraphPad
PRISM 9 using nonlinear regression with three parameters. Significant differences between
EC50 were calculated using one -way ANOVA with Sidak’s multiple comparisons. The data
represents the SEM of three independent experiments.
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2.4 Isolation of extracellular vesicles
To isolate extracellular vesicles from cell cultures, cells were grown in 1 × T-225 flask up to
30% confluence, washed twice with Hanks’ Balanced Salt Solution (HBSS, Gibco
(Loughborough, UK)) and incubated in EV -depleted medium for 48h. Cell culture medium
was collected and centrifuged at 300 × g for 5 minutes to pellet cells. The supernatant was then
centrifuged again at 1,500 × g for 10 minutes, followed by a final centrifugation at 10,000 x g
and 4°C for 10 minutes to remove any debris and large particles. The supernatant was filtered
through a 0.22 µm filter prior to ultrafiltration using a 100K MWCO protein concentrator
(Thermo Scientific™ Pierce™; 88533) where the supernatant was spun at 3,000 × g until a ~
1 mL concentrate was left. The 1 mL concentrate was loaded directly onto size -exclusion
chromatography columns obtained from Izon (qEV 1 / 70 nm ; IC1-70) and EV fractions
collected according to manufacturer’s instructions. Concentration of EVs was determi ned
using ZetaView® Nanoparticle Tracking Analysis relative to 1 × 106 cells.
2.4. AC Stimulation: Electrical Stimulation (ES) with AC was carried out by inserting t wo
steel electrodes (0.5 mm ´ 25 mm) at the opposite end (fixed at 10 mm from each other) of
each well in a 24-well plate and dipped in cell culture media. These electrodes were connected
to an Arbitrary Function Generator (AFG-21225, RS PRO, UK) which delivered the AC sine-
wave signals, frequency, and amplitude. The cells were stimulated with AC with a desired
frequency and peak voltage amplitude of 1V/cm for 30 minutes. The strength of AC between
the electrodes was measured using a digital oscilloscope (TDS 210, Tektronix).
2.3. Metabolic activity assay: The medulloblastoma vehicle cell lines DT-D283-DMF, DT-
D458-DMF, DT-HD-MB03-DMF and DT-DAOY-DMSO and the cell lines resistant to cis -
drug treated (DT) and non-drug treated (NDT) (DT-D283-Cis, DT-D458-Cis, and DT-HD-MB03-
Cis) and vincristine - drug treated ( DT) and non -drug treated ( NDT) (DT-DAOY-Vin) were
seeded at density of 1.0 × 105 per well in a 24-well plate. The cells were stimulated using the
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9
protocol mentioned above in the AC stimulation section. Immediately after stimulation with
AC the cells were incubated at 37°C and 5% CO2 for 24 h before carrying out metabolic activity
assay. Next, the media containing cells was replaced with fresh media containing 1%
PrestoBlueTM HS cell viability reagent (ThermoFisher Scientific, UK) and incubated for 1 hour
before reading the fluorescence at 590 nm/610 nm (excitation/ emission) in a Tecan microplate
reader (Infinite M Plex and Spark 10M). Cells grown in culture media without AC t reatment
were used as the negative control. Values are presented in the results relative to negative
control. The data is represented as an average of triplicate experiment with 3 independent
repeats.
2.4. Live/Dead assay: After stimulation with AC the cells were incubated for 24 h in an
incubator at 37°C and 5% CO 2. Next, cis resistant and vehicle cells were centrifuged (due to
their semi-adherent nature) , and the pellet was dispersed in fresh media containing 1 mM
Calcein AM and 1mg/mL Propidium iodide (ThermoFisher, UK), and incubated for 30 min at
37°C and 5% CO2 in a 24 well plate. The cells were then centrifuged (300g for 5 minutes), and
the pellet was washed with PBS. Finally, the cells were placed in a 24 -well plate (m-plate 24
well black, ibiTreat, Thistle Scientific, UK) in phenol red free medium and imaged using a
Leica TCS SPE Confocal Microscope. The proportions of live and dead cells were quantified
using ImageJ software.
2.5. Biocompatibility of gold nanoparticles: The GIN and GCE cells were seeded in a 96-well
plate at a density of 5 × 103 cells/well and allowed to adhere for 24 h. The media was replaced
with fresh media containing Texas red conjugated 100 nm spherical gold nanoparticle (GNP,
Nanopartz, Inc, USA) conjugates at different concentrations (25, 50, and 100 mg/mL) and the
cells were incubated for 8h, then cells were stimulated with AC of various frequencies at 1V/cm
for 30 min. The cells were then incubated for 24 h at 37°C and 5% CO 2. Next, the media was
replaced with complete media containing 10% PrestoBlue TM HS cell viability reagent
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(ThermoFisher Scientific, UK) and incubated for an hour before reading the fluorescence at
590 nm / 610 nm (excitation/ emission) in a Tecan microplate reader (Infinite M Plex and Spark
10M). The data is represented as an average of triplicate experiment with 3 independent
repeats.
2.6. Endo/lysosomal escape: GIN 31 and GCE 31 cells were seeded at a density of 4 ´ 104
cells/ well in a 24-well plate and incubated at 37°C and 5% CO2. After 24 h, the culture medium
was replaced with fresh medium containing CellLight™ Late Endosomes-GFP, BacMam 2.0
(ThermoFisher Scientific, UK) and incubated overnight at 37°C and 5% CO2. Later, the media
was replaced with fresh media containing 25 µg/mL of GNP and incubated for 8 h. Immediately
after the ES, the cells were washed with PBS and imaged using a Leica TCS SPE Confocal
Microscope.
3. Results and Discussions:
3.1. Drug Resistance in medulloblastomas: Cis and Vin are two of the standard of care
chemotherapies for medulloblastoma. Previously we have described 3 cis resistant
medulloblastoma cell lines;21 in that work, compared to matched vehicle controls, DT -D458-
CisDT showed 8-fold resistance, DT-HB-MB03-CisDT showed 2-fold resistance and DT-D283-
CisDT showed 5-fold resistance. In the current work (Fig. 1) we established vin tolerant DAOY
cell line (DT -DAOY-VinDT) by continuous treatment with escalating concentrations of
vincristine. DT -DAOY-VinDT has a 4 -fold increase in the EC50 compared to the matched
vehicle cell line (p<0.001, Fig. 1).
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11
Figure 1. Continuous long-term vincristine treatment promotes increased cell resistance
to vincristine in medulloblastoma SHH DAOY cells. The cells were initially treated with vin
at 1/10th of their EC50 and upon cell proliferation, the cells were subsequently challenged with
an increasing dose of vin. Cell viability was assessed via drug -response assays and the EC 50
calculated using nonlinear regression analysis with three parameters. DAOY-WT - Wild-type
DAOY cell line, DT-DAOY-Vin - Vin tolerant cell line, DT-DAOY-DMSO – Vehicle cell
line. Significance was assessed using one -way ANOVA with Šídák ’s multiple comparisons
test. ****p ≤ 0.0001.
Intriguingly, comparison of the number of E Vs released by our cis (Fig. 2 a -c) tolerant lines
revealed a significant increase relative to their vehicle treated pairs (Fig. 2). On the other hand,
in vin tolerant lines no significant difference was observed compared vehicles cells (Fig. 2d).
Nevertheless, an increase in average number E Vs in drug treated vin tolerant lines was
observed, which can be further supported with literature, where it has also indicated that EVs
can act as transporters for efflux of drugs.23 Thus it can be concluded that number of EVs are
enhanced in drug tolerant lines which together with EC50 data suggest EV mediated drug
tolerance in medulloblastoma cell lines.
0.001 0.01 0.1 1 10 100
0
25
50
75
100
125
Concentration Vincristine (nM)
Cell Viability (%)
DAOY-WT
DT-DAOY-DMSO
DT-DAOY-Vin
EC50: 1.5
EC50: 1
EC50: 4.1
****
****
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Figure 2. Quantification of E Vs released in drug tolerant cell lines. (a -c) Cis-tolerant
MBGroup3 cells release significantly more EVs in comparison to their matched vehicle cell lines.
cis resistant & cis treated cell lines are denoted as DT-D458-CisDT, DT-D283-CisDT, DT-HD-
MB03-CisDT and vehicle cell lines are denoted as DT-D458-DMF, DT-D283-DMF, DT-HD-
MB03-DMF cell line (d) EVs release from Vin -tolerant DAOY cells. Vin resistant & vin
treated cell lines (DT-DAOY-VinDT) and vehicle (DT-DAOY-DMSO) cell lines. EVs in both
cis and vin tolerant/ vehicle cell lines were isolated using size-exclusion chromatography and
particle concentration from the pooled EV -containing fractions was quantified using
ZetaView® Nanoparticle Tracking Analysis. The concentration of EVs was calculated relative
to 1 × 10 6 cells, where cells were counted at the point of harvest. Significant differences
between vehicles and cis /vin-tolerant cells were calculated using unpaired t -test. The data
represents the SEM of three independent experiments. *p ≤ 0.05, **p ≤ 0.01, and ****p ≤
0.0001.
0
1×1010
2×1010
3×1010
4×1010
5×1010
****
Concentration of EVs / 106 cells
DT-D458
DMF
DT-D458
CisDT
0
2×109
4×109
6×109
8×109
1×1010
*
Concentration of EVs/ 106 cells
DT-D283
DMF
DT-D283
CisDT
0.0
5.0×109
1.0×1010
1.5×1010
**
DT-HD-MB-03
DMF
DT-HD-MB-03
CisDT
Concentration of EVs / 106 cells
0
2×109
4×109
6×109
8×109
Concentration of EVs / 106 cells
ns
DT-DAOY
DMSO
DT-DAOY
VinDT
(b)(a)
(c) (d)
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3.2. Overcoming EVs mediated cisplatin and vincristine resistance in medulloblastoma:
After establishing EV mediated drug resistance in medulloblastoma cell lines , we sought to
provide evidence to this effect and investigate whether bioelectronics systems can be used to
deliver electrical input to modulate efflux through these pathways . To study the response to
external electrical input on the manipulation of intracellular trafficking modulated by sub -
cellular entities such as EVs, we used AC (Fig. 3). AC with frequency range of 1 KHz – 5 MHz
at a constant potential of 1V/cm were utilised to study the response. It is worth emphasising
that the AC used in this work are not tumour treating fields as the electrodes were not shielded
by dielectric material and does not cause any significant change in the temperature of cell
culture medium.24 To avoid potential of electrolysis potentials above 1V/cm were avoided. For
all 4 lines, metabolic activity only decreased in the drug tolerant line when an AC was applied
in the presence of drugs (Fig. 3 a-d and Fig. S1). This effect increased at high frequencies (Fig.
3 a-d) and was confirmed to be cell death caused enhanced concentration of drug (cis and vin)
within the cytoplasm (Fig. 3 e -h). This was in -fitting wit h previous findings that outer
membranes are capacitively coupled to AC at high frequency (KHz -MHz). This leads to
membrane electro-permeabilization which further allow the interaction of HF-AC with the sub-
cellular structures.25 Furthermore, no change in the viability of control cells (not drug treated)
after the treatment with HF-AC suggests their interaction with membrane bound EVs carrying
anticancer drugs (Fig. S2 ). This could be supported by previous observations reported in
literature where low voltage electric fields lead to disruption of EVs and release of its content.
26 Therefore, based on the obtained data it can be concluded that HF-AC could manipulate
intracellular trafficking by targeting membrane bound EVs which leads increased vulnerability
of resistant cells towards cis and vin.
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Figure 3. AC-EFs overcomes cisplatin and vincristine resistance in medulloblastoma cells
in vitro. The cells were stimulated with s inewave AC (1 MHz, 3 MHz, and 5 MHz) using a
frequency generator at a potential of 1V/cm for 30 min followed by a PrestoBlue assay 24 h
post electrical stimulation. (a-c) The metabolic activity of cis resistant & cis treated cell lines
(DT-D458-CisDT, DT-D283-CisDT, DT-HD-MB03-CisDT), cis resistant but non-cis treated cell
lines (DT-D458-CisNDT, DT-D283-CisNDT, DT-HD-MB03-CisNDT), and vehicle cell lines (DT-
D458-DMF, DT-D283-DMF, DT-HD-MB03-DMF) cell line . (d)Vin resistant & vin treated
cell lines (DT-DAOY-VinDT), vin resistant but non-vin treated cell lines (DT-DAOY-VinNDT),
and vehicle (DT-DAOY-DMSO) cell lines . The error bars represent S.E.M of three
independent experiment in triplicates. (e-h) Live/dead staining of ci s and vin resistant
medulloblastoma cell line s. The cells were stained with calcein AM (green, live cells) and
propidium iodide (red, dead cells) 24 h after stimulation with AC-EFs and imaged using GFP
and Texas red filter in a Leica TCS SPE Confocal Microscope. Scale bars = 100 µm. NDT – no
drug treatment, DT – drug treated.
0
1 KHz10 KHz100 KHz500 KHz1 MHz3 MHz5 MHz
0
25
50
75
100Metabolic Activity (%)
DT-D283-DMF
DT-D283-CisDT
AC frequency at 1 V/cm
DT-D283-CisNDT
0
1 KHz10 KHz100 KHz500 KHz1 MHz3 MHz5 MHz
0
25
50
75
100Metabolic activity %
DT-D458-DMF
DT-D458-CisDT
AC frequency at 1 V/cm
DT-D458-CisNDT
(a) (b)
0
1 KHz10 KHz100 KHz500 KHz1 MHz3 MHz5 MHz
0
25
50
75
100Metabolic activity %
DT-HD-MB03-DMF
DT-HD-MB03-CisDT
AC frequency at 1 V/cm
DT-HD-MB03-CisNDT
0
1 KHz10 KHz100 KHz500 KHz1 MHz3 MHz5 MHz
0
20
40
60
80
100Metabolic Activity (%)
DT-DAOY-DMSO
DT-DAOY-VINDT
AC frequency at 1 V/cm
DT-DAOY-VinNDT
(c) (d)
DT-D283-CisDT cells
DT-D458-CisDT cells
DT-HD-MB-03-CisDT cells
DT-DAOY-VinDT cells
Control 1 MHz 3 MHz 5 MHz
Control 1 MHz 3 MHz 5 MHz
Control 1 MHz 3 MHz 5 MHz
Control 1 MHz 3 MHz 5 MHz
(e)
(f)
(g)
(h)
Control
Control 3 MHz1 MHz
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3.3. Endo/lysosomal escape of gold nanoparticles: We next tested our hypothesis that HF-AC
targets subcellular structure involved in intracellular trafficking by studying the endosomal
escape of GNPs in primary heterogenous brain tumour cell cultures after the treatment with
HF-AC (Fig. 4). HF-AC (1-5 MHz) were able to induce endosomal escape of GNPs from
primary glioma cells isolated from the invasive edge viz. GIN cells (Fig 4. a) and the tumour
core viz. GCE cells (Fig. 4 b ). No significant toxicity was observed after GNP and AC
treatment (Fig. S3). This was further validated by obtaining Pearson’s correlation coefficient
(PCC) which predicted the degree of overlap between green channel (late endosomes) and
GNPs (red).27 The PCC obtained from confocal microscopy images shown in Fig 4 a and b,
confirmed that application of HF -AC leads to endosomal escape of GNPs. This could be
explained based on previous studies that suggest that HF-AC can induce transmembrane
potentials which cause transient disruption in cell membrane structures , without causing any
toxicity Importantly, it has been reported that low MHz frequencies can penetrate deep into the
cytoplasm to manipulate sub -cellular structures .28 Based on these literature studies the
possibility of GNPs from endosomes cannot be ruled out however leaking of 100 nm GNPs
due to the electro -permeabilization of plasma membrane requires further studies. Another
possible mechanism that could be considered is the behavior of GNPs as electric field
transducers.29 In this case, the polarization of GNPs in presence of AC could allow them to
interact with plasma membrane in a way that facilitates their movements outwards. However,
it is unclear how HF -AC could manipulate endosomal membrane, thus highlighting the need
for new investigations on understanding the underlying mechanism such as AC mediated
proton sponge effect . In literature there are various reports about the use of external stimuli
such as light and ultrasound to enhance the cytoplasmic concentration of drugs from polymeric
or metallic nanoparticles outside the endosomal compartment. 30, 31 However, it must be
emphasized that this effect relies on the properties conjugating ligand or peptides that facilitate
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endosomal escape but not on the external stimuli. Although conjugation of ligands that
enhances endosomal escape has shown great potential, they have been criticized for causing
off-set toxicity and reducing the surface coverage for the attachment of targeting moieties.31, 32
On the other hand, this work highlights the importance of using external electrical stimuli such
as AC to enhance cytoplasmic concentration of not only drugs but also metallic nanoparticles.
Figure 4. AC mediated endosomal escape of AuNPs in patient derived glioblastoma cells
(GIN 31 and GCE 31) . Confocal microscopy image s to demonstrate endosomal escape of
GIN 31
GCE 31
Control 5 MHz
GNP + 3 MHz GNP+ 5 MHz
GNP
GNP+ 1 MHz
Control 5 MHz
GNP + 3 MHz GNP+ 5 MHz
GNP
GNP+ 1 MHz
(a)
(b)
(c)
GIN 31 GCE 31
0.0
0.2
0.4
0.6
0.8
1.0Pearson’s coefficient (a.u.)
GNP
GNP + 1 MHz
GNP + 3 MHz
GNP + 5 MHz
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AuNPs (8-hour incubation with cells) in (a) GIN 31 and (b) GCE 31 cells immediately after
treatment with sine wave HF-AC (3 MHz and 5 MHz) at a potential of 1V/cm for 30 min. Cells
were stained with late endosome dye (green) and imaged using a Leica confocal microscope
with GFP (late endosomes) and Texas-red (AuNPs) filter settings. Scale bar = 100 µm. To
confirm the co-localisation of AuNPs at least 50 cells were analysed. (c) Violin plot depicting
Pearson’s correlation coefficient (obtained using colocalization plugin in ImageJ) to quantify
co-localisation of AuNPs (red) with late endosome (green) upon application of EFs. A value
of 1 represents perfect co -localisation of Texas red (AuNPs) with green channel (late -
endosome).
4. Conclusions: Our findings support the hypothesis that chemotherapeutic resistance in
aggressive brain tumors may be mediated via intracellular trafficking of increased numbers of
EVs. Importantly, we have shown that AC can disrupt this EVs mediated trafficking of
anticancer drugs to enhance their vulnerability in drug treated medulloblastoma cells .
Furthermore, we showed that HF-AC could enhance the endosomal escape of GNPs in patient-
derived GBM cells. Overall, together with ease of HF -AC delivery with no toxic effects on
cells by itself potentiates the future application of AC in drug delivery to achieve enhanced
therapeutic efficacy for better treatment outcomes.
5. Acknowledgements: This work was supported by the Engineering and Physical Sciences
Research Council Grant number [EP/R004072/1].
6. Authors Contribution: Akhil Jain: Conceptualization, Methodology, Validation,
Investigation, Writing - original draft, Visualization, Writing - review & editing, Formal
analysis, Supervision, Funding acquisition. Philippa Wade: Investigation, Writing - original
draft, Visualization, Writing - review & editing, Formal analysis. Snow Stolnik: Supervision,
Writing - review & editing. Alistair N Hume: Supervision, Writing - review & editing. Ian D.
Kerr: Supervision, Writing - review & editing. Beth Coyle: Conceptualization, Methodology,
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Validation, Writing - original draft, Writing - review & editing, Supervision, Funding
acquisition. Frankie Rawson: Conceptualization, Methodology, Validation, Writing - original
draft, Writing - review & editing, Supervision, Funding acquisition.
7. Conflict of Interest: The authors declare no conflict of interest. All the authors read and
reviewed the manuscript and agreed for journal submission.
8. Supporting Information: The data related to live dead staining of medulloblastoma cells at
frequencies below <1 MHz (Fig. S1), live dead images of vehicle cell lines (Fig. S2), and
biocompatibility of GNPs in primary GBM cells (Fig. S3).
9. Data Availability: All the data will be available to the readers at free of cost at
https://nottingham.rdmc.ac.uk.
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Supporting Information
Tackling Anticancer Drug Resistance and Endosomal Escape in Aggressive Brain
Tumors Using Bioelectronics
Akhil Jain,1,5,‡,*Philippa Wade,2,‡ Snow Stolnik,3 Alistair N. Hume,4 Ian D. Kerr,4 Beth
Coyle,2 Frankie Rawson5,*
1Division of Pharmacy and Optometry, School of Health Sciences, University of Manchester,
Manchester, M13 9PL
2Children’s Brain Tumour Research Centre, School of Medicine, University of Nottingham,
Biodiscovery Institute, Nottingham, NG7 2RD, UK
3Division of Molecular Therapeutics and Formulation Division, School of Pharmacy,
University of Nottingham, Nottingham, Nottingham, NG7 2RD, UK
4 School of Life Sciences, University of Nottingham, Queen’s Medical Centre, Nottingham NG7
2UH, UK
5Bioelectronics laboratory, Division of Regenerative Medicine and Cellular Therapies, School
of Pharmacy, University of Nottingham, Biodiscovery Institute, University of Nottingham,
Nottingham, Nottingham, NG7 2RD, UK
*Corresponding author email –
[email protected] and
[email protected]
‡Authors contributed equally.
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Figure S1. – AC-EFs overcomes cis and vin resistance in medulloblastoma cells in vitro. The
cells were stimulated with square wave AC -EFs (1 KHz, 10 KHz, 100 KHz, and 500 KHz)
using a frequency generator at a potential of 1V/cm for 30 min. Live/dead staining of ci s and
vin resistant medulloblastoma cell lines. The cells were stained with calcein AM (green, live
cells) and propidium iodide (red, dead cells) 24 h after stimulation with AC -EFs and imaged
using GFP and Texas red filter in a Leica TCS SPE Confocal Micros cope. Scale bars = 100
µm.
1 KHz 10 KHz 100 KHz 500 KHz
(a)
(b)
(c)
(d)
1 KHz 10 KHz 100 KHz 500 KHz
1 KHz 10 KHz 100 KHz 500 KHz
1 KHz 10 KHz 100 KHz 500 KHz
DT-D283-CisDT cells
DT-D458-CisDT cells
DT-HD-MB-03-CisDT cells
DT-DAOY-VinDT cells
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Figure S2. Live/dead staining of vehicle medulloblastoma cell lines. The cells were stained
with calcein AM (green, live cells) and propidium iodide (red, dead cells) 24 h after stimulation
with AC -EFs and imaged using GFP and Texas red filter in a Leica TCS SPE Confocal
Microscope. Scale bars = 100 µm.
Control 1 KHz 10 KHz 100 KHz
500 KHz 1 MHz 3 MHz 5 MHz
Control 1 KHz 10 KHz 100 KHz
500 KHz 1 MHz 3 MHz 5 MHz
DT-HD-MB-03-CisNDT cells
DT-DAOY-VinNDT cells
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Figure S3. Biocompatibility of AuNPs on GIN 31 and GCE 31 in presence of AC-EFs. The
cells were treated with AuNPs for 8 h before stimulation with square wave AC -EFs (1 KHz,
10 KHz, 100 KHz, and 500 KHz) using a frequency generator at a potential of 1V/cm for 30
min. The metabolic activity of cells was determined 24 hours after stimulation with AC -EFs
using PrestoBlue assay. The error bars represent the S.E.M. from a triplicate experiment
repeated thrice.
(a)
(b)
0 5 10 20 40 80
0
20
40
60
80
100
AuNP concentration (µg/ mL)
Metabolic Activity (%)
Control
500 KHz
1 MHz
3 MHz
5 MHz
GIN 31
EF at 1V/cm
0 5 10 20 40 80
0
20
40
60
80
100
AuNP concentration (µg/ mL)
Metabolic Activity (%)
Control
500 KHz
1 MHz
3 MHz
5 MHz
GCE 31
EF at 1V/cm
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