Qais Akolawala1, Marta Rovituso2, Henri H Versteeg3, Araci M R Rondon3, Angelo Accardo1. 1. Department of Precision and Microsystems Engineering, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands. 2. Holland Proton Therapy Center (HollandPTC), Huismansingel 4, 2629 JH Delft, The Netherlands. 3. Einthoven Laboratory for Vascular and Regenerative Medicine, Division of Thrombosis and Hemostasis, Department of Internal Medicine, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Abstract
Glioblastoma (GBM) is a devastating cancer of the brain with an extremely poor prognosis. For this reason, besides clinical and preclinical studies, novel in vitro models for the assessment of cancer response to drugs and radiation are being developed. In such context, three-dimensional (3D)-engineered cellular microenvironments, compared to unrealistic two-dimensional (2D) monolayer cell culture, provide a model closer to the in vivo configuration. Concerning cancer treatment, while X-ray radiotherapy and chemotherapy remain the current standard, proton beam therapy is an appealing alternative as protons can be efficiently targeted to destroy cancer cells while sparing the surrounding healthy tissue. However, despite the treatment's compelling biological and medical rationale, little is known about the effects of protons on GBM at the cellular level. In this work, we designed novel 3D-engineered scaffolds inspired by the geometry of brain blood vessels, which cover a vital role in the colonization mechanisms of GBM cells. The architectures were fabricated by two-photon polymerization (2PP), cultured with U-251 GBM cells and integrated for the first time in the context of proton radiation experiments to assess their response to treatment. We employed Gamma H2A.X as a fluorescent biomarker to identify the DNA damage induced in the cells by proton beams. The results show a higher DNA double-strand breakage in 2D cell monolayers as compared to cells cultured in 3D. The discrepancy in terms of proton radiation response could indicate a difference in the radioresistance of the GBM cells or in the rate of repair kinetics between 2D cell monolayers and 3D cell networks. Thus, these biomimetic-engineered 3D scaffolds pave the way for the realization of a benchmark tool that can be used to routinely assess the effects of proton therapy on 3D GBM cell networks and other types of cancer cells.
Glioblastoma (GBM) is a devastating cancer of the brain with an extremely poor prognosis. For this reason, besides clinical and preclinical studies, novel in vitro models for the assessment of cancer response to drugs and radiation are being developed. In such context, three-dimensional (3D)-engineered cellular microenvironments, compared to unrealistic two-dimensional (2D) monolayer cell culture, provide a model closer to the in vivo configuration. Concerning cancer treatment, while X-ray radiotherapy and chemotherapy remain the current standard, proton beam therapy is an appealing alternative as protons can be efficiently targeted to destroy cancer cells while sparing the surrounding healthy tissue. However, despite the treatment's compelling biological and medical rationale, little is known about the effects of protons on GBM at the cellular level. In this work, we designed novel 3D-engineered scaffolds inspired by the geometry of brain blood vessels, which cover a vital role in the colonization mechanisms of GBM cells. The architectures were fabricated by two-photon polymerization (2PP), cultured with U-251 GBM cells and integrated for the first time in the context of proton radiation experiments to assess their response to treatment. We employed Gamma H2A.X as a fluorescent biomarker to identify the DNA damage induced in the cells by proton beams. The results show a higher DNA double-strand breakage in 2D cell monolayers as compared to cells cultured in 3D. The discrepancy in terms of proton radiation response could indicate a difference in the radioresistance of the GBM cells or in the rate of repair kinetics between 2D cell monolayers and 3D cell networks. Thus, these biomimetic-engineered 3D scaffolds pave the way for the realization of a benchmark tool that can be used to routinely assess the effects of proton therapy on 3D GBM cell networks and other types of cancer cells.
The
development of three-dimensional (3D)-engineered cell culture
models[1,2] over conventional two-dimensional (2D) “Petri
dish” approaches featured a rapid expansion during the last
decade. The main reason is that 2D approaches lead to the formation
of unrealistic cell monolayers, while the first ones enable cells
to grow within a 3D spatial configuration closer to the in
vivo tissue architecture. 3D cell culture models are often
categorized into scaffold-free approaches and scaffold-based ones.[3,4] The first ones include a family of cell self-assembly techniques
leading to the formation of multicellular 3D tissue-like structures
called spheroids and organoids, which facilitate intense cell–cell
interactions and resemble physiological conditions of complex tissues
via spatially defined differentiation.[5] The second category comprises a series of additive manufacturing
techniques[6,7] employed to build artificial skeletons,
usually made of polymeric or hydrogel material,[8] called “scaffolds”, where cells can grow
along precise 3D structures. Among these techniques, we find fused
deposition modeling (FDM), where the 3D object is obtained, layer
by layer, by extruding a thermoplastic material through the nozzle
of a moving head which displacement is remotely controlled by a computer.[9] Another technique similar to FDM is called bioprinting
(BP).[10] The difference is that in this
case cells are incorporated directly in bioinks (made of hydrogel
materials) and extruded under cell-compatible conditions (temperature
of 37 °C). While these two techniques hold the great advantage
to have access to a wide library of intrinsically biocompatible materials,
they are characterized by a very low feature resolution, in the range
of hundreds of microns, which is far from the cellular scale. This
can be detrimental as it is known that cells are very sensitive to
geometries and curvatures with features in the micrometric or even
submicrometric range.[11,12] To overcome this limitation,
it is possible to resort to laser-assisted fabrication technologies
such as stereolithography (SLA)[13,14] and two-photon polymerization
(2PP).[15,16] The first technique can reach micrometric
resolution and manufacture centimeter-sized objects by exploiting
a layer-by-layer approach, where a UV laser source photopolymerizes
a series of transverse-plane image slices of a photoresin that finally
leads to the realization of a 3D design. The physical mechanism underlying
the 2PP fabrication, widely used in the cell mechanobiology field,[15] exploits two-photon absorption (TPA) of near-infrared
radiation (NIR) by focusing femtosecond laser pulses onto an organic
prepolymer material highly absorptive in the UV radiation range while
“transparent” in the infrared radiation one. This nonlinear
mechanism is tuned to induce the photopolymerization of the exposed
material in extremely confined volumes called voxels, featuring dimensions
in the submicrometric range.In the field of engineered 3D cell
microenvironments, the development
of architectures for the study and treatment of cancer cells assumes
a paramount importance for fundamental mechanobiology and prospective
clinical studies.[17−20] Among the different types of cancer, glioblastoma (GBM) is a grade
IV glioma brain tumor[21] and the most aggressive
type of brain cancer with an incidence of 2–3 cases per 100.000
people per year.[22] GBM continues to have
one of the most dismal prognoses of any cancer with a median survival
rate of about 12–15 months and less than 5% of cases surviving
over 5 years after initial diagnosis.[23,24] The current
treatment regime includes removal of the bulk of the tumor by surgery
followed by image-guided radiotherapy (where high-energy X-ray radiation
destroys the cancer cells) and chemotherapy to control the regrowth
of the tumor. Nonetheless, GBM has a high propensity of recurrence
and therefore often needs multiple surgeries,[25] which are not always possible (e.g., when the GBM is growing in
the deep core of the brain tissue). Chemotherapy has many toxic side
effects, and the blood–brain barrier limits drug penetration.
Conventional X-ray radiotherapy is known to damage not only cancer
cells but also the healthy surrounding brain tissue. A more recent
technique trying to tackle cancer, and in particular brain cancer,
improving on the drawbacks of conventional radiotherapy, is proton
beam therapy (PBT), which employs protons[26] instead of X-rays. Compared to X-rays, protons can be focused exclusively
on the cancerous tissue with much less damage to the healthy tissue.
Unfortunately, the higher cost of proton radiotherapy treatments has
led to a lack of clinical information, which is the main reason why
many questions remain about the efficiency of proton irradiation on
GBM at the cellular level.[27,28] This is mostly because
systematic studies on the morphological and functional changes (e.g.,
DNA damage) of the cells after being exposed cannot be routinely performed
on animals, due to their scarcity and ethical reasons, or living tissues
derived from biopsies due as well to their scarcity and the difficulty
in preserving them alive for a long time.To fill this knowledge
gap, we report for the first time the creation
of standardized, reproducible, and physiologically relevant 3D-engineered
GBM microenvironments, fabricated by 2PP, to assess the DNA damage
of proton beams on brain cancer cells. Indeed, although previous works
reported on the effect of charged particles in vitro on GBM cells in 2D monolayers[29] and 3D-collagen
matrices,[30] there are no studies about
the use of 3D-engineered 2PP microenvironments to assess the effect
of proton beams on GBM 3D cellular networks. In our investigation,
we employed a novel photosensitive biomaterial called IP-Visio characterized
by high biocompatibility, favoring the growth and adhesion of GBM
cells, and negligible intrinsic autofluorescence, enabling immunofluorescence
characterization of cell biomarkers. The GBM cell line U-251 was cultured
on both 2D IP-Visio pedestals and 3D IP-Visio microenvironments to
compare morphological cell features as well as the amount of DNA damage
induced by two different proton radiation doses (2 and 8 Gy) in Spread-out
Bragg peak (SOBP) configuration,[31] which
enables a homogenous distribution of protons within a constrained
volume. While on 2D pedestals we obtained, as expected, the formation
of compact cell monolayers with very thin cytoplasmic extensions,
the 3D GBM microenvironment fostered cell colonization in three dimensions
with the formation of long protrusions that extended across the scaffold
owing to the presence of rationally designed geometries. Remarkably,
2D GBM cell monolayers featured a much higher amount of DNA damage,
especially for the 8 Gy dose, compared to 3D GBM-engineered microenvironments,
showing that 3D GBM cell networks, mimicking more closely the in vivo tissue configuration, respond differently to proton
radiation doses. This study paves therefore the way for the use of
2PP-engineered GBM 3D microenvironments as a benchmark tool for proton
radiobiology, which can be potentially extended also to other cancer
cells.
Experimental Section
Direct-Laser-Writing Setup Configuration
A commercial
2PP setup (Nanoscribe Photonic Professional GT+) was
used to manufacture both the 2D pedestals and 3D scaffolds. The 3D
scaffolds were first designed by computer-aided design (CAD) software,
Autodesk Fusion 360, and then exported to an STL format. The STL file
was then elaborated by Nanoscribe DeScribe software to convert it
into Nanoscribe’s General Writing Language (GWL). The GWL file
was finally provided to the NanoWrite program that controls the 2PP
setup. During the conversion process, the STL file is sliced into
2D layers and each of these planes is then transformed into a set
of hatched lines. A droplet of commercially available negative tone
photoresist, known as IP-Visio (featuring a methacrylate functional
group), was cast on cleaned and silanized ITO-coated (indium–tin
oxide: thickness 18 ± 5 nm) soda-lime glass substrates (25 mm
× 25 mm, 0.7 mm thickness). The substrates were cleaned and activated
with O2 plasma (Diener Femto plasma etcher) at a power
of 80 W for 10 min, O2 flow at 5 sccm, and pressure of
0.1 bar. Consequently, they were silanized by immersion for 1 h in
a 2% v/v 3-(trimethoxysilyl) propyl methacrylate (MAPTMS, Sigma-Aldrich)/ethanol
solution and then rinsed with acetone, water, and dried with a compressed
air gun in between rinsing steps. Silanization increases the adhesion
of the photosensitive biomaterial with the substrate. The resin was
then exposed to a 780 nm wavelength, femtosecond pulsed laser (100
fs, 50 mW corresponding to 100% power intensity) with the Nanoscribe
Photonic Professional GT+ two-photon polymerization system through
a 25X immersion objective (NA = 0.8), and using a “Galvo”
configuration where mirrors scan the laser beam laterally, and the
vertical movement is carried out with piezo actuators. This moving
beam fixed sample (MBFS) approach was used with the dip-in laser lithography
(DiLL) configuration in which the objective is dipped in the photoresist
(Figure S1A). The specific parameters used
for printing the free-standing 3D structures were 100% laser power
and a scanning speed of 15 mm/s. Concerning the 2D pedestals, the
optimal parameters were 80% laser power with a 50 mm/s scanning speed.
The slicing (distance between adjacent layers) and hatching (lateral
distance between adjacent lines) parameters for both 2D and 3D structures
were set at 800 and 500 nm, respectively. Each 3D scaffold and 2D
pedestal was fabricated in 4 and 10 min, respectively. Overall, each
2PP-printed sample consisted of 15 scaffolds and 3 pedestals (≈90
min printing time). The samples were then chemically developed in
propylene glycol monomethyl ether acetate (PGMEA, Sigma-Aldrich) for
25 min, rinsed with 2-propanol (IPA, Sigma-Aldrich) for 5 min, and
then air-dried under a chemical fume hood.
GBM Cell
Culture
Prior to cell culture,
the printed samples were transferred to sterile Petri dishes (60 mm
diameter) in a tissue culture hood. Each sample was sterilized by
immersion in 70% ethanol for 10 min and subsequently gently washed
with phosphate-buffered saline (PBS). The samples were then allowed
to air dry. The Human GBM U-251 (U-251 MG, previously known as U-373
MG, ATCC HTB-17) was kindly donated by Prof. Janusz Rak, McGill University,
Canada. U-251 cells were cultured using Dulbecco’s modified
Eagle’s medium (DMEM, Gibco) with 1% l-glutamine (Sigma-Aldrich),
1% penicillin–streptomycin (P/S, Gibco), and 10% fetal bovine
serum (FBS, PAN Biotech). DNA profiling using short tandem repeat
markers was performed to confirm the origin of U-251, and mycoplasma
testing was performed monthly using MycoAlertTM Mycoplasma Detection
Kit (Lonza). Typically, 50,000 cells/mL were inoculated onto the scaffold
in droplets of 75 μL around the scaffold region. The cells were
allowed to adhere to the scaffolds for 1 h in a cell culture incubator
at 37 °C and 5% CO2. Five milliliters of DMEM (with
10% FBS, 1%P/S) was gently added to the dishes and left in the incubator
for 5 days before characterization or proton irradiation.
Sample Preparation for Scanning Electron Microscopy
(SEM) and Immunofluorescence Staining Protocols
To prepare
the sample for SEM characterization, cells were rinsed with PBS and
incubated in 4% glutaraldehyde (in PBS) solution for 4 h at room temperature.
The glutaraldehyde was then removed, and cells were rinsed with PBS.
Cells were then incubated in 50, 70, 90, and 100% ethanol for 4 min
each and immersed in 33, 50, 66, and 100% solutions of hexamethyldisilazane
(HMDS, Sigma-Aldrich) in 100% ethanol for 15 min each. Finally, the
residual HMDS was allowed to evaporate overnight. The whole protocol
was carried out in a chemical fume hood.To perform indirect
immunofluorescence staining for confocal microscopy, cells were fixed
with 4% paraformaldehyde in PBS for 15 min, permeabilized in 0.2%
Triton X-100 for 15 min, and nonspecific protein binding sites were
blocked with 5% bovine serum albumin (BSA). Cells were incubated with
the DNA damage antibody anti-Gamma H2A.X (phospho Serine 139, 1:250
dilution in 1% BSA/PBS, Abcam) for 60 min to detect DNA damage, followed
by incubation with a FITC-conjugated goat antirabbit IgG secondary
antibody (1:500 dilution in 1% BSA, Molecular Probes) for 60 min at
room temperature in a humid chamber. The nuclei were stained with
Hoechst 33258 (1:1000 dilution, Molecular Probes) for 5 min. After
the staining, cells were imaged or stored in PBS at 4 °C. Concerning
cell morphology visualization via direct immunofluorescence, the cells
were fixed with 4% paraformaldehyde in PBS for 15 min and permeabilized
in 0.1% Triton X-100 (Merck) for 15 min. The cells were stained with
a 50 μg/mL fluorescent phalloidin–FITC conjugate (Sigma-Aldrich)
solution in PBS for 40 min at room temperature to visualize F-actin
in the cellular cytoskeleton. The cells were washed, and the nuclei
were counterstained with Hoechst 33258 (1:1000 dilution, Molecular
Probes) for 5 min.
Confocal Imaging
Confocal imaging
experiments were performed using an upright Zeiss LSM 710 NLO confocal
microscope (Carl Zeiss). The 405 and 488 nm laser excitation wavelengths
were used for the experiments. 10X (NA = 0.3), 20X (NA = 1.0), and
63X (NA = 1.0) W-Plan Apochromat water immersion objectives were used
to acquire the 2D images and 3D z-stacks. An automatic z-compensation of the laser power was applied to have a
homogeneous imaging of the sections of the 3D scaffold at different
heights. The samples were immersed in PBS at room temperature for
the whole duration of the experiments. The images were recorded using
Zen (Zeiss) software and analyzed using Fiji[32] and Imaris (Oxford Instruments, U.K.). An automatic macro in ImageJ
was used to identify and count the foci formed within the nuclei of
the cells (Figure S2).
Scanning Electron Microscopy (SEM)
SEM images were
acquired by a JEOL-JSM 6010LA instrument using 7–20
kV acceleration voltage. The samples were covered with a uniform 13
nm layer of gold sputtered from multiple directions to cover both
flat and slanted structures, using a JEOL JFC-1300 Auto Fine coater.
Proton Radiation Experiment Configuration
The layout of the experimental setup and x-, y-, and z-axis configuration at the R&D
beamline of the Holland Proton Therapy Center (HollandPTC) are reported
in Figure S3. The proton radiation experiments
were carried out in the spread-out Bragg peak (SOBP) region[33] (Figure S4) of the
proton beam dose–deposition curve along the Z-axis. The Bragg peak is where the maximum proton beam energy is
deposited and the SOBP is achieved by the use of a 2D energy modulator,[34] which creates a plateau characterized by a maximum
dose with a uniformity of 98%. A SOBP with a width of 2.5 cm was achieved
during the experiments (Figure S4). The
beam is passively scattered[34] in the X–Y plane (Figure S5) to produce a large field of 100 mm × 100 mm with a
dose uniformity of 98%. Water equivalent material (Goettingen White
Water-RW3 material, PTW GmbH) is used to adjust the depth so that
the sample is located in the middle of the SOBP. The R&D proton
beamline of HPTC is a fixed horizontal one; therefore, the samples
had to be held vertically to guarantee the dose uniformity during
irradiation. For this purpose, specific Petri dish holders were 3D
printed by the DEMO (Dienst Elektronische en Mechanische Ontwikkeling)
Department at TU Delft (Figures S6 and S7). The doses selected for the experiments were 2 and 8 Gy (delivered
with a dose rate of 1.5 Gy/min), since they have shown to induce different
foci formation in U-251 when tested with X-rays.[35] A dose of 2 Gy has also been previously used with carbon
ions and shown distinct foci formation in GBM cells.[29]
Mechanical Characterization
of the Biomaterial
Pedestals of 50 μm thickness and
250 μm x 250 μm
area were employed to evaluate the Young’s Modulus of the IP-Visio
material by measuring its stiffness. The compression test was carried
out using the FT-NMT03 (Femtotools AG) testing system. It employs
a square compression tip of 50 μm x 50 μm, which is indented
onto the samples to a depth of 5 μm. From the load/displacement
curves, it is possible to extract the stiffness and consequently the
Young’s modulus. Figure S8 shows
a setup of the schematic for this test.
Results
and Discussion
Design and Fabrication
of 3D-Engineered Microenvironments
Figure A,B illustrates
the overall architecture of the 3D-engineered microenvironment, which
fabrication protocol is reported in detail in the Experimental Section section. The architecture of the conceived
3D scaffold (featuring a height of 150 μm) includes an octagonal
base (inscribed in a circle of 380 μm diameter). The top layer
is similar to the bottom structure scaled down to 0.6 times its size
to create the frustum of an octagonal pyramid. The middle layer is
located at 70 μm from the base. The lateral horizontal and inclined
beams in the structures are created to provide regions of adhesion
for cells as well as to ensure the mechanical stability of the architecture.
The beams of the mainframe have a diameter of 10 μm, while the
other lateral and inclined beams are 6 μm in diameter (Figure C,D). The brain vascular
branching points have shown to form nutrient-rich and structurally
stable regions toward which glioma cells migrate, cluster, and proliferate.[36] The scaffolds are modeled to replicate these
nodes by having beams in multiple planes emerging from central points.
The aim of using a pyramidal structure is to create a variation in
the size and length of the lateral beams within each scaffold. The
beams feature a cylindrical cross section to further provide a mimicry
of the blood vessels.[37] IP-Visio is optimized
for the printing of stitch-free structures, each fitting within the
writing field of the 25X objective. Independent structures were printed
in an array to avoid the possibility of damage due to small bubbles
in the resin, incomplete adhesion, and minor printing deformations.
The array also allowed us to visualize a quantitatively relevant number
of cells. Earlier designs featured a whole pyramid (Figure S9) but were replaced to strengthen the mechanical
properties and provide better SEM/confocal imaging access. The final
design also had beam diameters and pore sizes comparable to the dimensions
of the U-251 cells and could enable adequate colonization of the scaffolds.
Each sample includes 15 scaffolds and 3 pedestals of 1000 μm
× 1000 μm to provide areas for 2D cell culture on the same
material as shown by the SEM micrograph in Figure . IP-Visio is a material with negligible
autofluorescence, which is a particular advantage for confocal imaging,
as the substrate does not interfere with the cell staining used for
confocal microscopy (Figure S10). Recent
works also reported the fabrication of potentially nonautofluorescent
polymeric structures, based either on photoinitiator-free materials[38,39] or postpolymerization processes.[40] Further,
IP-Visio is noncytotoxic as per ISO-10993-5, therefore biocompatible
and appropriate for cell culture applications. In view of this, IP-Visio
did not require any additional functionalization or biochemical coating
(e.g., laminin, gelatin, fibronectin) to improve the adhesion of the
cells on the structures.
Figure 1
(A) CAD design of the 3D scaffold; (B) SEM image
of the 3D scaffold;
(C) close-up on the beams and edges of the top layer indicating dimensions;
and (D) SEM close-up on the structures of the scaffold.
Figure 2
Final sample configuration. Each sample contains 15 3D scaffolds
and 3 2D pedestals (here only two are visible).
(A) CAD design of the 3D scaffold; (B) SEM image
of the 3D scaffold;
(C) close-up on the beams and edges of the top layer indicating dimensions;
and (D) SEM close-up on the structures of the scaffold.Final sample configuration. Each sample contains 15 3D scaffolds
and 3 2D pedestals (here only two are visible).To evaluate the Young’s modulus of IP-Visio, a compression
test was conducted on 2D pedestals (see Section ). The compression test yielded an average
Young’s Modulus (E) of 1.31 GPa (measured on 10 different pedestals),
almost 50 times lower than the Young’s modulus of conventional
soda-lime glass substrates (E ≈ 70 GPa). Although
the intrinsic Young’s modulus of IP-Visio is still far from
the one of the brain ECM (0.1–1 kPa[41]), it has a lower value compared to glass and plastic substrates
conventionally used in cell cultures and provides a 3D environment
that fosteres cell–cell, cell–scaffold interactions
and very clear differences in cellular morphologies, as discussed
in the following sections.The general overview of the experimental
approach developed in
the framework of this study is depicted in Figure . After fabrication, the samples were sterilized
and the U-251 cells were cultured (Section ) for 5 days. The samples were then either
characterized by SEM and immunofluorescence imaging or exposed to
proton beam irradiation. In the second case, after radioactive decay
of 1–2 h, the samples underwent fixations for SEM and confocal
microscopy. Each experiment sample set included one control and two
irradiated samples (2 and 8 Gy). Confocal microscopy was used to identify
the morphology of the cells and the extent of DNA double-strand breakage,
while SEM imaging provided additional high-resolution details on the
3D features of the cell localization and morphology in the scaffolds.
Figure 3
Overview
of the experimental process. The samples are fabricated
by 2PP, cultured with GBM cells, irradiated with the proton beam,
and characterized using SEM and immunofluorescence imaging.
Overview
of the experimental process. The samples are fabricated
by 2PP, cultured with GBM cells, irradiated with the proton beam,
and characterized using SEM and immunofluorescence imaging.The 3D scaffolds in each sample were printed next
to an array of
2D pedestals to simultaneously compare the cells on 2D substrates
and 3D microenvironments. IP-Visio pedestals allowed ascertaining
that the difference in 2D and 3D morphology was not a result of chemical
interaction with the material. The amount of DNA double-strand breakage
(DSB) and cell morphology configurations were both compared between
2D and 3D in the presence of different radiation doses. The use of
truncated pyramids was essential for confocal imaging as the images
were clearest at the top layer, while the “sharp” (Figure S9) cone would trap fewer cells than the
grid. The designed 3D architecture allowed analyzing a quantitatively
relevant number of cells via confocal imaging. The use of HMDS in
the dehydration protocol for SEM sample preparation significantly
improved the level of detail visible in the cells and provided deeper
insight into the cell morphologies associated with the scaffolds compared
to other protocols (critical point drying and sole ethanol, Figure S11). The designed scaffolds were stable
and robust enough to withstand changes in medium, stress induced by
the cells, and dehydration steps without undergoing any significant
change in terms of structure or delamination from the substrate.
SEM and Immunofluorescence Morphological Characterization
of U-251 Cells in 3D-Engineered Microenvironments and 2D Pedestals
SEM and immunofluorescence imaging of phalloidin–Hoechst
were employed to visualize and compare the morphology of the cells
on 2D pedestals and 3D microenvironments as well as to assess the
biomaterial–cell interactions. Figure shows an overview of GBM cell colonization
on both 2D IP-Visio pedestals and 3D IP-Visio-engineered microenvironments.
On 2D pedestals (Figure A,C), the morphology of the cells was spread-out, leading to the
formation of conventional cell monolayers and occupied a much larger
surface area compared to cells growing in 3D microenvironments (Figure B).
Figure 4
(A) SEM micrograph of
the 2D IP-Visio pedestal densely colonized
by U-251 cells; (B) SEM micrograph of U-251 cells colonizing 3D scaffolds;
(C) SEM close-up micrograph of GBM cells on 2D IP-Visio pedestals
with large spread-out morphologies, and small processes; (D) SEM
close-up micrograph of GBM cells adhering to the 3D scaffold and forming
long processes that extend across the structures.
(A) SEM micrograph of
the 2D IP-Visio pedestal densely colonized
by U-251 cells; (B) SEM micrograph of U-251 cells colonizing 3D scaffolds;
(C) SEM close-up micrograph of GBM cells on 2D IP-Visio pedestals
with large spread-out morphologies, and small processes; (D) SEM
close-up micrograph of GBM cells adhering to the 3D scaffold and forming
long processes that extend across the structures.In the 3D-engineered microenvironments, the cells often assumed
a more spherical morphology and colonized the inner core as well as
the outer shell of the architecture, displaying a cytoskeletal configuration
able to evolve along the x-, y-, z-axis by forming long processes extending from the cells
in the directions of the beams of the scaffolds (Figure D). These processes are a characteristic
of GBM cells and play an important role in cell migration and invasion.[42,43]Although beyond the scope of this study, in future work, it
would
be interesting to assess, by employing dedicated protein markers (e.g.,
growth-associated protein 43, GAP-43), if these long protrusions are
associated to the generation of tumor microtubes known to have a direct
role in the malignancy of GBM.[43] The cells
adhered to and colonized the scaffold efficiently and their growth
was “guided” especially next to the nodes (Figure S12), which is also what is observed with
blood vessels in the study by Farin et al.[36] On the other hand, on 2D pedestals, the cells spread out and their
processes could not be seen to extend along any specific orientation. Figure shows the F-actin
distribution of cells in 2D and 3D configuration. The 3D confocal
reconstructions of phalloidin/F-actin-Hoechst/nuclei also give an
insightful qualitative indication of the nuclear localization within
the cell, as well as its shape and size. From a quantitative point
of view, GBM cells grown on 2D IP-Visio substrates featured an average
nuclear area of 568.4 μm2, 4 times higher than the
ones colonizing the 3D IP-Visio microenvironments (139.4 μm2). The same trend was observed concerning the cell cytoskeleton,
where we observed an average surface area of 2828.9 and 1226.1 μm2, respectively, for GBM cells on 2D and 3D environments, which
is linked to the flattened, elongated morphology typical of adherent
GBM cells in 2D culture.[44] Finally, the
large processes of 3D GBM cells featured an average length and diameter,
respectively, of 26.1 and 1.2 μm (aspect ratio equal to 21.7).
On the other hand, the thin processes of 2D GBM cells were characterized
by an average length and diameter of 12.5 and 0.4 μm, respectively
(aspect ratio equal to 31.2).
Figure 5
Confocal images of GBM cells in 2D- and 3D-engineered
microenvironments.
(A,C) Large-view 3D reconstruction and close-up of GBM cells in the
3D IP-Visio scaffold and (B,D) large and close-up view of GBM cells
on 2D IP-Visio pedestals (green: phalloidin–F-actin, blue:
Hoechst–nuclei).
Confocal images of GBM cells in 2D- and 3D-engineered
microenvironments.
(A,C) Large-view 3D reconstruction and close-up of GBM cells in the
3D IP-Visio scaffold and (B,D) large and close-up view of GBM cells
on 2D IP-Visio pedestals (green: phalloidin–F-actin, blue:
Hoechst–nuclei).Figure A shows
a sectional view of the cells grown on the 2D IP-Visio pedestal and
highlights the arrangement of the nucleus as well as the cytoskeleton
of the cell. Interestingly, the nuclei are mostly localized in the
upper region of the cytoskeleton surface and maintained a spherical
morphology. It is known that during migration, the shapes of both
the cytoplasm and nucleus adjust according to the environment. In
particular, on a 2D substrate, the nucleus can be subjected to tensional
forces emanating from the stress fibers and compressive forces due
to the actin cap structures and the resistance of the surface.[45] In 3D scaffolds (Figure B), on the other hand, nuclei appear surrounded
by the cytoplasm and localized in the inner core of the cytoskeletal
envelope. This is in line with the fact that in a 3D environment,
the cell migration process requires reshaping of the nucleus as well
as of the cytoskeletal envelope to migrate through the pores of the
scaffold as it also happens in the openings of the natural extracellular
matrix (ECM). The 3D confocal reconstructions of the entire scaffold,
although affected by some distortions due to a shadowing effect of
the other layers of cells and biomaterial, reported also the presence
of GBM cells in the inner core of the 3D microenvironment, showing
their ability to invade the whole architecture (Figure S13).
Figure 6
(A) Sectional view of the cells on 2D pedestals and (B)
sectional
view of the cells in 3D scaffolds (green: phalloidin–F-actin,
blue: Hoechst–nuclei).
(A) Sectional view of the cells on 2D pedestals and (B)
sectional
view of the cells in 3D scaffolds (green: phalloidin–F-actin,
blue: Hoechst–nuclei).The SEM and confocal images of the GBM cellular morphology in 3D-engineered
microenvironments correlate with those observed in earlier publications,[46] with the cells showing relatively spherical
morphology, spindle-like processes, featuring numerous long extensions
anchoring the cells across the scaffold beams. GBM cells cultured
on 2D pedestals, on the other hand, feature the formation of cell
monolayers with a flat cell cytoskeleton and spreading into larger
surface areas. The spherical nature of the cells in the 3D microenvironment
better resembles the cellular morphology in vivo.[46] The SEM images also corroborate earlier observation
reporting how cells grown in 3D environments have a more controlled
growth and show lower rates of proliferation.[46] In the 3D environment, many cells were observed at the nodes of
the structure, along the inclined beams and stretched in between the
lateral beams. The cells exploited therefore 3D structures as guiding
pathways for migration. The direction of their movement cannot be
determined without a time-lapse study, but it is known that GBM cells
migrate along blood vessel architectures.[36] This observation can therefore justify further studies focusing
on the migratory behavior of the GBM cells in 3D-engineered microenvironments.
Evaluation of DNA Damage of U-251 Cells in
3D-Engineered Microenvironments and 2D Pedestals upon Proton Irradiation
Gamma H2A.X foci formation is directly proportional to the extent
of double-strand DNA damage in a cell and is also used as a senescence
biomarker.[47] The event of double-strand
breakage (DSB) may not occur exclusively by ionizing radiation, but
this increases the amount of DSB in cells. The anti-Gamma H2A.X antibody
is an established marker to study the formation of such foci for radiation-induced
DSB.[48−50] This marker has also been specifically studied for
the U-251 cells[35,51] employed in this study. In our
experiments, Gamma H2A.X foci formation clearly depended on the proton
irradiation dose with cells exposed to a greater dose showing higher
foci formation. The samples were studied upon 2 and 8 Gy proton beam
radiation doses. Gamma H2A.X foci visibility reaches a maximum at
1 h after irradiation and then starts to decrease.[29] The samples also showed some unintended nonspecific staining
of the cell cytoplasm. This may occur when the antibody binds to nonspecific
sites in the cells or due to a combination of other ionic and hydrophobic
interactions.[52] The amount of nonspecific
staining seemed to decrease in regions of the samples where the cells
were sparser. A blocking step was carried out to further reduce such
nonspecific staining, although it was still possible to visualize
it in some regions. That being mentioned, the foci that were formed
are much brighter than the above-mentioned undesired background staining.
Additionally, concerning the quantitative analysis, the Fiji[32] macro only counts the bright spots as local
maxima within the nuclear regions in the images, and the effect of
nonspecific staining in the analysis is thus avoided. The samples
showed a clear difference in the number of foci formed within the
nuclei of cells grown on the 2D IP-Visio pedestals and within the
3D IP-Visio engineered scaffolds. An overview of the DNA damage foci
after irradiation is depicted in Figure . The figure shows a confocal imaging comparison
of the foci formation between control, 2 and 8 Gy-irradiated samples,
in both 2D and 3D configurations. The control sample is important
for every experiment since the Gamma H2A.X foci formation is not exclusively
linked to radiation-induced DSBs. The control sample therefore includes
all of the foci due to other stresses that the cells undergo and makes
the conditions of each experiment more comparable.
Figure 7
U-251 cells on 2D pedestals
and 3D scaffolds after exposure to
different doses of proton radiation. (A–C) Cells on 2D pedestals.
(D–F) Cells in the 3D scaffold. (A,D) Control samples. (B,E)
2 Gy samples. (C,F) 8 Gy Samples. The number and density of the foci
distinctly increase with the increase in dose. Cells in the 2D configuration
have more foci than their 3D counterparts. The control sample in (A)
also shows some foci, since DSB damage is not exclusively caused by
radiation. The images are taken with a 63× magnification lens
(green: Gamma H2A.X, blue: nuclei).
U-251 cells on 2D pedestals
and 3D scaffolds after exposure to
different doses of proton radiation. (A–C) Cells on 2D pedestals.
(D–F) Cells in the 3D scaffold. (A,D) Control samples. (B,E)
2 Gy samples. (C,F) 8 Gy Samples. The number and density of the foci
distinctly increase with the increase in dose. Cells in the 2D configuration
have more foci than their 3D counterparts. The control sample in (A)
also shows some foci, since DSB damage is not exclusively caused by
radiation. The images are taken with a 63× magnification lens
(green: Gamma H2A.X, blue: nuclei).For all of the conducted experiments, the GBM cells cultured on
3D microenvironments qualitatively and quantitatively showed less
foci than the cells cultured on 2D pedestals. Additionally, the results
showed that the percentage of cells positive for Gamma H2A.X foci
upon 8 and 2 Gy irradiation are, respectively, 10 and 20% higher in
2D as compared to 3D. These experiments were repeated thrice on different
dates and displayed an equivalent trend. This can be seen quantitatively
in Figures and 9, where we report the number of Gamma H2A.X foci
per cell in 2D or 3D microenvironment configuration and under three
different conditions (control–nonirradiated, 2, 8 Gy).
Figure 8
Each graph
shows the scatter distribution of the foci formed. The
longer width of the horizontal bar represents a greater number of
cells with that number of discrete foci. The data correlates for all
three experiments and follows a similar trend. The bar chart shows
the mean, with error bars.
Figure 9
Mean values
of each experiment shown in Figure . The mean values of the foci increase with
an increasing dose even when averaged across multiple experiments.
The mean number of foci formed is always lower in 3D scaffolds cells
than 2D monolayers.
Each graph
shows the scatter distribution of the foci formed. The
longer width of the horizontal bar represents a greater number of
cells with that number of discrete foci. The data correlates for all
three experiments and follows a similar trend. The bar chart shows
the mean, with error bars.Mean values
of each experiment shown in Figure . The mean values of the foci increase with
an increasing dose even when averaged across multiple experiments.
The mean number of foci formed is always lower in 3D scaffolds cells
than 2D monolayers.Finally, 2D pedestals
and 3D-engineered GBM microenvironments were
also compared in terms of SEM morphology between the control and proton-irradiated
samples. Figure S14 shows a comparison
between the control and 8 Gy-irradiated samples fixed 12 h after proton
irradiation. There were no observed differences between the morphologies
of the cells. We also underline that some dead or apoptotic cells,
featuring low adherence to the material,[53] might have been removed during the fixation and dehydration steps
required for the SEM characterization.It has been established
that the ECM plays an important role in
the regulation of proteins and other markers for GBM cells, and this
induces changes to their morphology, cell–cell interaction,
and cell–matrix interaction.[54,55] We hypothesize
that the observed difference in the number of foci is directly correlated
with the differences in terms of cytoskeletal properties and cell–matrix
interactions in 2D and 3D cell culture configurations. One example
is the position of the nucleus for cells grown in 2D, mostly localized
in the upper region of the cytoskeleton surface, while for cells in
3D, localized in the inner core of the cytoskeletal envelope as mentioned
in Section . This
observation is noteworthy in light of recent findings reporting on
the role of nuclear mechanics and its impact on DNA damage.[56] Further, having used a 2D IP-Visio pedestal
eliminates the possibility that these differences are caused because
of a chemical interaction (with the material) alone. We can therefore
infer that the addition of the third dimension and the presence of
micrometric beams with a diameter close to the one of brain blood
vessels,[57] trying to better mimic the 3D
spatial configuration of the native GBM microenvironment, affects
the response to proton irradiation of the cells which show higher
radioresistance compared to 2D GBM cell monolayers.Cell sensing,
migration, differentiation, proliferation, apoptosis,
gene expression, and signal transduction are all influenced by mechanical
stimuli[58,59] of the surrounding ECM. Hence, a difference
in ionizing radiation response between 2D cell monolayers and 3D cell
microenvironments is an expected outcome.[60] The tumor microenvironment and the interaction of cancer cells with
the ECM play indeed a very important role in the resistance of cells
to treatment.[61] Previous studies on GBM
cells reported how in vivo orthotopic xenograft models
(in which cell lines or patient-derived cells are transplanted into
a host of a different species) showed higher radioresistance than
the corresponding in vitro cultures.[62] Further, 3D spheroid cultures featured higher surviving
fractions of cells when treated with radiation.[63] 3D models of other cancers also showed higher radioresistance
in 3D.[64] In their study, Jamal et al. compared
the radiation response of a GBM xenograft model to a 2D in
vitro cell culture model.[65] They
found that the in vivo xenograft was characterized
by fewer Gamma H2A.X foci formation than 2D cell cultures. An in vivo environment can therefore greatly differ from unrealistic
2D cell culture conditions. It can be reasonably assumed that cells
in an in vivo environment are also growing along
tridimensional spatial configurations among other conditions. Considering
this, the results of our study correlate with the findings of Jamal
et al.[65] Fewer foci formed in the 3D scaffolds
can suggest that, even without other factors (proteins, nutrients,
and ECM components), the integration of the third dimension, in the
form of structures which try to minimalistically mimic the brain blood
vessels[37] and guide the growth of GBM cells,
can make the cells more resistant to proton radiation. Hence, this
makes our 3D in vitro model an effective benchmark
tool to better estimate the response of an in vivo model to proton radiation. Another possible explanation of our results
is that in 3D cell cultures, the repair dynamics of the cells are
different. Many factors can affect the efficiency and extent of DSB
repair in GBM cells.[66] Previous studies
have shown indeed that repair kinetics are different in 3D cell models
as compared to 2D,[64,67] therefore suggesting that GBM
cells in a 3D environment may also exhibit different DSB repair mechanisms.
Conclusions
In this work, we reported the
design and manufacturing of a biomimetic
scaffold to create in vitro replicas of the in vivo GBM microenvironment. We developed the scaffolds
inspired by the blood vessel architecture and its vascular branching
points, where GBM cells cluster and proliferate.[36] The use of 2PP enabled the fabrication of accurate topographies
based on the novel biomaterial IP-Visio featuring high biocompatibility
and negligible autofluorescence. The use of direct immunofluorescence
and scanning electron microscopy showed that U-251 cells efficiently
colonized the 3D scaffolds and presented remarkable differences in
terms of morphology and nuclear organization compared to cells grown
on 2D IP-Visio pedestals. Specifically, cells on the 3D scaffolds
showed morphologies closer to those observed in vivo. We also reported, for the first time, the proton beam irradiation
response of GBM U-251 cells cultured on such biomimetic scaffolds.
We observed a clear difference between the control, 2, and 8 Gy-irradiated
samples. The extent of DNA damage was quantitatively analyzed by exploiting
the Gamma H2A.X antibody. Compared to 2D GBM cell monolayers, GBM
cells consistently showed lower damage in 3D-engineered microenvironments,
which correlates with the response of GBM cells in vivo and other in vitro 3D models, where a greater radioresistance
is observed.[63,68,69] The reported protocol provides an in vitro benchmark
tool for proton radiobiology, which paves the way to better understand
GBM cells–proton radiation interactions, decreasing the amount
of in vivo studies required to assess the radiation
response of GBM and, in future, of other cancerous tissues. The following
development of this study could include 3D scaffolds able to mimic
even better the brain vasculature, by the integration of variable
beam thickness and curved geometries closer to the ones of real blood
vessels, as well as the use of patient-derived GBM cells. Additionally,
we envision a co-culture model with brain vascular endothelial cells
(the building blocks of brain blood vessels) to include the biochemical
signals of the microvascular architecture and assess the cellular
response to irradiation in such an in vitro system.
Authors: Jiuping Ji; Yiping Zhang; Christophe E Redon; William C Reinhold; Alice P Chen; Laura K Fogli; Susan L Holbeck; Ralph E Parchment; Melinda Hollingshead; Joseph E Tomaszewski; Quentin Dudon; Yves Pommier; James H Doroshow; William M Bonner Journal: PLoS One Date: 2017-02-03 Impact factor: 3.240
Authors: Weihua Zhou; Yangyang Yao; Andrew J Scott; Kari Wilder-Romans; Joseph J Dresser; Christian K Werner; Hanshi Sun; Drew Pratt; Peter Sajjakulnukit; Shuang G Zhao; Mary Davis; Barbara S Nelson; Christopher J Halbrook; Li Zhang; Francesco Gatto; Yoshie Umemura; Angela K Walker; Maureen Kachman; Jann N Sarkaria; Jianping Xiong; Meredith A Morgan; Alnawaz Rehemtualla; Maria G Castro; Pedro Lowenstein; Sriram Chandrasekaran; Theodore S Lawrence; Costas A Lyssiotis; Daniel R Wahl Journal: Nat Commun Date: 2020-07-30 Impact factor: 14.919
Authors: Ahmed Sharaf; Brian Roos; Raissa Timmerman; Gert-Jan Kremers; Jeffrey John Bajramovic; Angelo Accardo Journal: Front Bioeng Biotechnol Date: 2022-07-22