Hybrid interfaces between living cells and nano/microstructured scaffolds have huge application potential in biotechnology, spanning from regenerative medicine and stem cell therapies to localized drug delivery and from biosensing and tissue engineering to neural computing. However, 3D architectures based on semiconducting polymers, endowed with responsivity to visible light, have never been considered. Here, we apply for the first time a push-coating technique to realize high aspect ratio polymeric pillars, based on polythiophene, showing optimal biocompatibility and allowing for the realization of soft, 3D cell cultures of both primary neurons and cell line models. HEK-293 cells cultured on top of polymer pillars display a remarkable change in the cell morphology and a sizable enhancement of the membrane capacitance due to the cell membrane thinning in correspondence to the pillars' top surface, without negatively affecting cell proliferation. Electrophysiology properties and synapse number of primary neurons are also very well preserved. In perspective, high aspect ratio semiconducting polymer pillars may find interesting applications as soft, photoactive elements for cell activity sensing and modulation.
Hybrid interfaces between living cells and nano/microstructured scaffolds have huge application potential in biotechnology, spanning from regenerative medicine and stem cell therapies to localized drug delivery and from biosensing and tissue engineering to neural computing. However, 3D architectures based on semiconducting polymers, endowed with responsivity to visible light, have never been considered. Here, we apply for the first time a push-coating technique to realize high aspect ratio polymeric pillars, based on polythiophene, showing optimal biocompatibility and allowing for the realization of soft, 3D cell cultures of both primary neurons and cell line models. HEK-293 cells cultured on top of polymer pillars display a remarkable change in the cell morphology and a sizable enhancement of the membrane capacitance due to the cell membrane thinning in correspondence to the pillars' top surface, without negatively affecting cell proliferation. Electrophysiology properties and synapse number of primary neurons are also very well preserved. In perspective, high aspect ratio semiconducting polymer pillars may find interesting applications as soft, photoactive elements for cell activity sensing and modulation.
In recent years, materials scientists,
biotechnologists, and neuroscientists
have invested joint, extensive efforts toward the realization of three-dimensional
structures suitable for interfacing with living cells and tissues.
The most recent developments in the realization of structured surfaces
suitable for cell interfacing, with regularly or randomly arranged
nano- and microstructures protruding from a flat surface, have followed
multiple paths. Different geometries (nanowires, nanopillars, mushrooms,
nanocavities),[1] structure densities, and
materials and fabrication technologies, as well as diverse cellular
models, have been investigated. The huge interest in nano- and microstructures
as cell substrates or 3D scaffolds originates from a number of promising
applications, spanning from regenerative medicine to neuroscience
and from pharmacology and physiology to neural computing and tissue
engineering.[2−7] Some notable examples include the realization of nanostructures
as low-impedance electrodes for electrical recording of neural culture
activity, biosensors with enhanced signal-to-noise ratios, devices
for cell proliferation and motility control, cell culture controlled
patterning, induction of stem cell differentiation, and highly localized
delivery of various functional molecules.[8−12]Reported nanostructures mainly rely on the
use of inorganic metals
and semiconductors, such as gold, silicon, and silicon oxides, which
guarantee optimal repeatability through the use of standard lithography
fabrication, as well as excellent electrical conductivity.[8,13,14] In particular, nanostructured
conducting electrodes allow for sizable reduction of the cell/device
interface impedance, combined with spatial resolution at the single-cell
level and parallelization of the excitation and/or recording of the
cell electrical activity from multiple sites.[4,15,16] Electrically inert polymer substrates (among
many others, PDMS, SU-8, polycarbonate, PLA) have been largely employed
as well, mainly for tissue engineering and regenerative medicine applications.[17,18] A variety of synthetic and bioderived polymers have been also developed
ad hoc as biocompatible scaffolds for 3D cell cultures. Their distinct
advantages over inorganic materials comprise easier and faster processing,
increased design flexibility and versatility, softness, and outstanding
biocompatibility. More recently, the use of electrically conducting
polymers has started to attract considerable attention due to the
opportunity to integrate their optimal mechanical properties, typical
of polymer soft materials, with unprecedented ionic–electronic
mixed conduction capabilities, peculiar of conducting polymers. A
notable example is represented by nanostructures made of PEDOT:PSS,
a workhorse material for the realization of highly performing electrochemical
sensors and actuators.[19,20] Based on their well-known electroactive
properties, PEDOT:PSS and other conducting polymers have been proposed
for the realization of bioscaffolds,[21] able
to electrically modulate the activity of excitable cells and to guide
cell proliferation and stem cell differentiation.[22−28] To this goal, PEDOT:PSS has been processed in the form of hydrogel-like
scaffolds, sponges, and foams.[29,30] In many cases, device
transparency remains an issue, thus hampering the use of bioimaging
analysis techniques. Very recently, an interesting work by Inal and
colleagues reported the fabrication of a PEDOT:PSS-based macroporous
device, integrating electrochemical sensing capabilities with in situ
live cell monitoring.[31] Besides the use
of ionic- and electronically conducting polymers like PEDOT:PSS, the
use of 3D nanostructures based on semiconducting polymers, with distinctive
optoeletronic properties and visible-light emission/detection capabilities,
has been very rarely taken into account. The realization of ordered
polymer-based nanostructures, characterized by a high aspect ratio
(HAR), has been considered to a much lower extent than disordered
hydrogel-like structures, especially for biotechnology applications.[32,33]In this work, we report fabrication of HAR polymer pillars
entirely
made of polythiophene (rr-P3HT), a well-known semiconducting polymer
with distinctive optoelectronic features and good biocompatibility.[34−36] rr-P3HT pillar fabrication is based on an original, highly repeatable
push-coating technique.[37,38] Polymer pillar arrays
display optimal biocompatibility properties, serving as ideal cell
culturing substrates for both neurons (primary cortical neurons) and
cell lines (humanembryonic kidney cells, HEK-293). rr-P3HT structured
substrates exhibit excellent elasticity and flexibility while maintaining
robustness and stability in aqueous environments for several weeks.
The pillared structure leads to the realization of three-dimensional
cell cultures, with a remarkable change in the cell morphology. We
observe a sizable enhancement of the cell membrane capacitance due
to the cell membrane thinning in correspondence to the pillars’
top surface. Importantly, this neither negatively affects cell proliferation
nor leads to alteration of the neuronal electrophysiology properties
on a macroscopic scale. In addition, while neurons grown onto polymer
pillars show a slight decrease in dendritic arborization, the number
of both excitatory and inhibitory synapses is not altered. HAR rr-P3HT
pillars may act as soft, electrically active elements in a variety
of perspective applications in biotechnology, including locally confined
recording and actuation of living cell activity and realization of
polymer scaffolds for spatially controlled drug delivery. To the best
of our knowledge, light-sensitive nanostructured devices recently
reported in the literature are all based on inorganic semiconductors.[39−42] In this perspective, our work represents also the first necessary
step toward the future realization of optically responsive polymer
3D structures for photomechanical, photochemical, and/or photoelectrical
modulation of cell activity, proliferation, and differentiation.
Experimental Section
Materials
rr-P3HT
(purity 99.995%, molecular weight
15000–45000), o-dichlorobenzene, Dulbecco’s
modified Eagle’s medium (DMEM), trypsin–EDTA, penicillin,
phosphate-buffered saline (PBS) tablets, streptomycin, fibronectin
(from bovine plasma), glutaraldehyde, paraformaldehyde, sucrose, gelatin,
Triton X-100, phalloidin-FITC, l-glutamate, glutamine, and
4′,6-diamidine-2′-phenylindole dihydrochloride (DAPI)
were purchased from Sigma Aldrich. PDMS elastomer (Sylgard 184) was
purchased from Dow Corning. Glass/ITO substrates (15 Ω/sq) were
purchased from Xin Yan Technology. Fetal bovine serum (FBS) was purchased
from Euroclone. HOECHST 33342 and NucGreen Dead 488 ReadyProbes reagent
were purchased from Thermo Fisher. AntiMAP2 (lot number: GR143561)
was purchased from Abcam. Anti-PSD95 (cat. n. 444-1LC-49) was purchased
from NeuroMab. Anti-vGAT (cat. n. 131002), anti-v-GLUT (cat. n. 135303),
and anti-Synapsin (cat. n. 106002) were purchased from Synaptic Systems.
Secondary antibodies FITC-conjugated anti-mouse (cat. n. 715-095-150),
FITC-conjugated anti-rabbit (cat. n. 711-095-152), and Cy5-conjugated
anti-mouse (cat. n. 715-175-150) were purchased from Jackson ImmunoResearch.
All chemicals were used without any further purification.
PDMS Mold Fabrication
PDMS precursor was mixed with
the curing agent (10:1 volume ratio) and left in vacuum for 30 min
in order to remove air bubbles formed during the mixing process. The
degassed mixture was put inside a glass Petri dish and left in an
oven for 4 h at 65 °C. The bottom part of the Petri dish was
covered with a silicon wafer to obtain a highly planar PDMS surface.
After the thermal curing, a 4 × 5 mm2 PDMS area was
patterned with a microhole array of 2 μm diameter and 7 μm
pitch (distance between the centers of two adjacent holes) using femtosecond
pulse laser micromachining. The system is equipped with a regenerative
amplified mode-locked femtosecond laser source based on an Yb:KGW
active medium (Light Conversion, Pharos) whose pulses at a fundamental
wavelength of 1030 nm are characterized by a duration of 240 fs, repetition
rate up to 1 MHz, and pulse energy up to 0.2 mJ. In order to fabricate
the desired array of holes, a combinatorial optimization process of
the writing parameters was carried out. The ideal parameters set,
obtained by using the second harmonic λ = 515 nm, were 50 pulses
on the same position, 100 kHz repetition frequency, and 15 mW average
power (see the Supporting Information for
other parameter combinations). The laser beam is statically focused
on the surface substrate through a microscope objective (20×,
Mitutoyo, NA 0.40). The 2D structure is achieved by moving the sample,
placed on a high-precision three-axis air-bearing translation stage
(Aerotech, ABL 1000 series) with a resolution of up to 20 nm. Usually,
direct laser ablation performed on a substrate (in our case, PDMS)
creates a large amount of debris that strongly affects the quality
of both the surface and the geometry of the obtained structure (microholes)
in terms of morphology, aspect ratio, and homogeneity. In order to
overcome this serious problem and to obtain a high degree of repeatability
in the realization of the holes, the microperforation of the PDMS
substrate was then performed in a controlled atmosphere using a vacuum
chamber (10–1 mbar). The low pressure promotes the
separation of the ablated material from the surface that is free to
″fly″ away from the unprocessed area due to the increase
in its average free path and the low kinetic energy. In this way,
the obtained structure geometry is more easily controllable and of
better quality with a residual roughness of about 2 orders of magnitude
lower than the conventional ablation in air. After the laser process,
the mold was washed with EtOH for an additional surface cleaning.
rr-P3HT Sample Fabrication
Commercial glass/ITO slabs
were cut into 18 × 18 mm2 slides, washed by subsequent
rinsing in an ultrasonic bath by using distilled water, acetone, and
isopropanol (10 min each), and then dried with a N2 flux.
rr-P3HT was dissolved in o-dichlorobenzene (20 g
L–1) and stirred for one night at 50 °C. A
1 μL drop of the rr-P3HT solution was pushed onto the cleaned
glass/ITO surface using the micropatterned PDMS mold. After a thermal
treatment at 90 °C for 2 min, the mold was gently removed ending
up with a 4 × 5 mm2 rr-P3HT pillar array surrounded
by a flat rr-P3HT region deposited on top of glass/ITO substrates.Glass/ITO/P3HT flat samples for electrochemical measurements were
prepared by spin-coating (speed 1600 rpm, acceleration 1600 rpm s–1) a 20 g L–1 rr-P3HT solution in o-dichlorobenzene on top of 18 × 18 mm2 glass/ITO
slides.
Electrochemical Characterization
Electrochemical impedance
spectroscopy (EIS) was carried out in Krebs–Ringer Hepes (KRH)
extracellular solution (composition [mM]: 135 NaCl, 5.4 KCl, 5 HEPES,
10 glucose, 1.8 CaCl2, 1 MgCl2) at room temperature
using an Autolab potentiostat PGstat 302 (Metrohm). An electrochemical
cell in a three-electrode configuration was employed, comprising the
planar/micropillars rr-P3HT devices as the working electrode, a platinum
wire as the counter electrode, and saturated-KCl Ag/AgCl as the reference
electrode. The planar glass/ITO/P3HT part of the flat/pillar devices
was removed in order to guarantee that only the impedance contribution
from the pillar array is taken into account. For the comparison with
the planar rr-P3HT, flat glass/ITO/P3HT devices were employed. Impedance
spectra were recorded in the 0.01 Hz to 100 kHz frequency range with
an ac amplitude of 0.02 V by applying a constant bias equal to the
device open circuit potential (0.11 and 0.08 V for the rr-P3HT flat
and pillar cases, respectively). Nova 1.8 software was used for data
analysis.
Cell Culture Preparation
rr-P3HT flat and microstructured
devices were sterilized in an oven at 120 °C for 2 h. In the
case of HEK-293 cells, a layer of fibronectin (2 μg mL–1 in PBS buffer solution) was deposited on the sample surface and
incubated for 1 h at 37 °C, in order to promote cellular adhesion.
Excess fibronectin was then removed by rinsing with PBS prior to cell
plating. HEK-293 cells were cultured in cell culture flasks containing
Dulbecco’s modified Eagle’s medium (DMEM) with 10% fetal
bovine serum (FBS), 100 μg mL–1 penicillin,
and 100 μg mL–1 streptomycin. Culture flasks
were maintained in a humidified incubator (Forma Series II water jacketed
CO2 incubator, Thermo Fisher) at 37 °C with 5% CO2. When at confluence, HEK-293 cells were enzymatically dispersed
using trypsin–EDTA, then plated on the different samples at
a concentration of 20000 cells cm–2, and maintained
in the incubator at 37 °C with 5% CO2.Primary
cortical neuron cultures were prepared from 18 to 19 day old rat embryos
(pregnant females were obtained from Charles River Laboratories) as
described elsewhere.[43] Prior to neuron
plating, the sterilized devices were treated with a poly-l-lysine solution (1 mg/100 mL of borate buffer pH 7.4) overnight
at room temperature. After washing three times with sterile water,
primary cortical neurons were plated on the substrates at a density
of 60000–75000 cells cm–2 in a Neurobasal
medium supplemented with 2% B27 prepared in the laboratory, l-glutamate (at final concentration of 10 mM), glutamine (at final
concentration of 2 mM), and 1% penicillin and streptomycin. The cells
were maintained in the incubator at 37 °C with 5% CO2. At days in vitro 4 (4 DIV), half of the medium was replaced with
a fresh medium without l-glutamate, and neurons were maintained
in this medium until they were fixed for the staining at 14 DIV.
Scanning Electron Microscopy (SEM)
To evaluate cell
morphology and spreading, HEK-293 cells (1 DIV) and primary neurons
(14 DIV) plated on flat/pillar rr-P3HT substrates were prepared for
SEM with the following procedure: (1) fixation in glutaraldehyde 2.5%
in PBS overnight at 6 °C; (2) immersion in increasing concentrations
of ethanol (between 20 and 100%, in steps of +10%, 20 min for each
concentration) followed by air drying; and (3) evaporation of a thin
gold layer on top of the sample surface (thickness 6 nm, 1.5 nm Cr
adhesion layer). rr-P3HT-pillar-based devices without cells instead
did not require any treatment prior to SEM image acquisition. All
SEM micrographs were acquired by using a TESCAN MIRA III scanning
electron microscope (operating voltage 4 kV, working distance 18 mm,
stage tilting angle 45°).
Cell Viability Assay
The evaluation of the viability
of all cell types employed in this work (primary neurons after 14
DIV, HEK-293 cells after 1 DIV) was accomplished by the HOECHST 33342/NucGreen
Dead 488 ReadyProbes assay. The flat/pillar rr-P3HT substrates were
incubated in KRH extracellular solution containing the two dyes (HOECHST
33342 10 μg mL–1 and NucGreen Dead 488 ReadyProbes
Reagent 2 drops mL–1) for 5 min protected from ambient
light. The samples were then washed with extracellular solution, and
multiple images were acquired with a Nikon Eclipse Ti-S epifluorescence
inverted microscope. Standard DAPI and FITC filter sets were employed
for HOECHST and NucGreen, respectively. The percentage of viable cells
was estimated by counting the total number of cell nuclei (stained
by HOECHST) and the total number of dead cell nuclei (stained by NucGreen).
The results obtained on the flat and microstructured regions were
compared (n = 450 cells for each substrate type).
Cell Morphology
HEK-293 cells grown on fibronectin-coated
rr-P3HT flat/pillar substrates for 2 DIV were washed twice with PBS
and fixed for 15 min in 4% paraformaldehyde and 4% sucrose in 0.12
M sodium phosphate buffer pH 7.4, at RT. Labeling with phalloidin-FITC
was applied in GDB buffer (30 mM phosphate buffer, pH 7.4, containing
0.2% gelatin, 0.5% Triton X-100, and 0.8 M NaCl) for 2 h at RT. Nuclei
were marked with DAPI (5 min incubation in PBS). Fluorescence images
were acquired with the same microscope employed for the viability
assay, using standard FITC and DAPI filters set for recording the
fluorescence emission of the phalloidin-FITC- and DAPI-stained actin
and nuclei. Cell top-view surface area and shape parameters were quantified
using ImageJ software. Cells shape was evaluated in terms of circularity c (4π × [cell area]/[cell perimeter]2, c = 1 indicates a circle, c =
∼0 indicates a highly elongated shape). The cell projection
extension was evaluated by measuring the cell perimeter and by normalizing
it to the cell top-view surface area. Mean values have been obtained
by averaging over a statistical ensemble of n = 100
cells for each substrate type. Rat cortical neurons were fixed at
14 DIV in 4% paraformaldehyde plus 4% sucrose at room temperature.
AntiMAP2 (1:200) was applied in GDB buffer (30 mM phosphate buffer
pH 7.4, containing 0.2% gelatin, 0.5% Triton-X-100, and 0.8 M NaCl).
Morphological analysis of dendrites was performed on the signal obtained
by MAP2 staining, acquired using a confocal microscope (Zeiss LSM800)
with a 40× objective and sequential acquisition setting at a
resolution of 1024 × 1024 pixels. Sholl analysis was performed
using NeuronStudio (Computational Neurobiology and Imaging Center,
Mount Sinai School of Medicine, New York, NY) to evaluate the dendritic
arborization and to measure the number of branching points. Labeled
neurons were chosen randomly for quantification from three to six
coverslips from two to three independent experiments. The number of
neurons used for quantification is indicated in the figure legends.
Statistical significance was determined by the one-way ANOVA Bonferroni
post hoc test.
Electrophysiology
Electrophysiology
was performed using
a patch clamp set up based on an inverted fluorescence microscope
(Nikon Eclipse Ti-S). Intracellular recordings of primary cortical
neurons were carried out after 14 DIV with an Axopatch 200B (Axon
Instruments) in a whole-cell configuration, using borosilicate glass
pipettes (3–6 MΩ). Recordings were performed in KRH extracellular
solution and in a current clamp configuration, with and without applying
a current ramp (20 pA current steps, ranging from 0 up to 200 pA)
for evaluating the neuron firing threshold. The patch pipette was
filled with the following solution [mM]: 126 K-gluconate, 4 NaCl,
2 MgSO4, 0.2 CaCl2, 0.08 Bapta, 9.45 glucose,
5 Hepes, 3 ATP, and 0.1 GTP. Responses were amplified and stored with
pCLAMP 10 (Axon Instruments), and resting membrane potentials were
corrected for a −15 mV junction potential offset, evaluated
using the pClamp10 junction potential calculation tool. All data were
elaborated with Origin 9.0 software. The cell membrane capacitance
(Cm) was measured by applying continuous
square wave voltage pulses to the cells and by fitting the resulting
current transients, using the Membrane Test tool of the pCLAMP 10
software (Axon instruments). The neuron top-view surface area was
measured from bright field images using ImageJ software.
Primary Cortical
Neuron Synapse Imaging
Rat cortical
neurons were fixed at 14 DIV in 4% paraformaldehyde plus 4% sucrose
at room temperature. Primary antibodies, namely, anti-PSD95 (1:200),
anti-vGAT (1:100), anti-v-GLUT (1:200), and anti-Synapsin (1:400),
and secondary antibodies, namely, FITC-conjugated anti-mouse (1:100),
FITC-conjugated anti-rabbit (1:100), and Cy5-conjugated anti-mouse
(1:100), were applied in GDB buffer (30 mM phosphate buffer pH 7.4,
containing 0.2% gelatin, 0.5% Triton-X-100, and 0.8 M NaCl).Confocal images were obtained using the same confocal microscope,
objective, and image acquisition parameters employed for the neuron’s
morphological analysis. Labeled neurons were chosen randomly for quantification
from three to six coverslips from two to three independent experiments.
The number of neurons used for quantification is indicated in the
figure legends. Morphometric measurements were performed using MetaMorph
image analysis software (Universal Imaging Corporation). Three single
dendrites from each neuron in different conditions were manually traced.
The number, area, and average intensity of synapses were automatically
measured by a computer using MetaMorph image analysis software and
logged into Microsoft Excel. The synapse density was calculated as
the number of synapses per length of dendrites.Statistical
significance was determined by the one-way ANOVA Bonferroni
post hoc test.
Results and Discussion
rr-P3HT Microstructure
Fabrication and Morphology
The
fabrication of the rr-P3HT microstructured substrates is carried out
by taking advantage of the push-coating technique. Push-coating is
an adaptable and eco-friendly process for manufacturing thin polymer
films, originally developed for organic field effect transistors[38] and recently applied also to light-emitting
diodes and solar cells.[37] In push-coating,
a small volume of polymer solution is sandwiched between the substrate
and a millimeter-thick PDMS layer. The solution spreading between
the substrate and the PDMS through capillary forces facilitates the
solvent diffusion into PDMS to form uniform thin films. Because the
surface roughness of the PDMS layer determines the morphology of the
push-coated film, this technique has been very recently proposed also
to create nanostructured light-emitting polymer layers.[44] However, push-coating has never been employed
to fabricate high aspect ratio pillared structures.rr-P3HT
nano- and microstructures are typically obtained by self-assembly
or by imprinting processes.[45−47] If the former approach is not
suitable for high aspect ratio structures, the latter requires to
heat the solid polymer film well above its glass transition and crystallization
temperatures before imprinting (around 170 °C for rr-P3HT) and
to apply a controlled pressure on a lithographed hard stamp. By contrast,
in our approach, the pillared film is formed from solution, in a few
seconds, at room temperature, without any other applied pressure than
the weight of the soft PDMS layer, and only a mild thermal treatment
is required to facilitate the final stamp detachment. Typically, a
very small amount of semiconducting polymer solution is employed,
approximately 20 times smaller than in standard spin-coating deposition
for the same coated surface and thickness.[37]The first step to manufacture the rr-P3HT pillars by push-coating
is the fabrication of the PDMS mold. The process, schematically depicted
in Figure a, starts
with the fabrication of a PDMS layer by thermal cross-linking of a
commercial silicone oil precursor. In this work, a 5 mm thick stamp
is employed since a PDMS thickness in the millimeter scale guarantees
a good retention of the solvent inside the PDMS layer and optimal
mechanical properties, necessary for the success of the push-coating
procedure.[37] The second step consists in
the micropatterning of the PDMS mold by femto-laser micromachining,
in order to obtain a negative stamp of the pillars’ structure.
The PDMS stamp is then employed in the push-coating process, ending
up with an array of rr-P3HT pillars surrounded by a planar rr-P3HT
region (thickness 180 nm, evaluated by profilometry measurements)
deposited on top of standard glass/ITO substrates (Figure b). Since the process does
not damage the PDMS mold, the same stamp can be used for many subsequent
depositions in a highly reproducible way.
Figure 1
Device fabrication and
morphology. (a) rr-P3HT micropillar fabrication
process. (b) Photograph of the rr-P3HT-pillar-based device, taken
at the end of the fabrication process. SEM images depicting the single
rr-P3HT pillar structure (c) (scale bar, 2 μm) and an overview
of the pillar array at decreasing magnification (d,e) (scale bars,
10 and 100 μm, respectively).
Device fabrication and
morphology. (a) rr-P3HT micropillar fabrication
process. (b) Photograph of the rr-P3HT-pillar-based device, taken
at the end of the fabrication process. SEM images depicting the single
rr-P3HT pillar structure (c) (scale bar, 2 μm) and an overview
of the pillar array at decreasing magnification (d,e) (scale bars,
10 and 100 μm, respectively).Our technique offers a number of advantages. Besides the excellent
repeatability and speed of the overall process, the use of femtosecond
micromachining to fabricate the mold allows finely tuning of the geometrical
parameters of the polymer pillars (three-dimensional shape, size,
aspect ratio, pitch). The combination of all these characteristics
is known to be the key in the interaction with the living cells since
it strongly influences cells’ viability, adhesion, and proliferation.[9,48−51] In fact, HAR micro- and nanopillars have been recently successfully
employed to probe cellular tractions for enhancing stem cell differentiation
and to gain intracellular access for drug delivery.[7,9,50,52−54] Other interesting applications are focusing on neurodegenerative
diseases.[17] In all these cases, the fabrication
technique should ideally be highly repeatable, fast, and simple while
providing high versatility and capability to rapidly adapt parameters
to the specific cellular model. The size and aspect ratio of pillars
can be easily finely tuned by properly changing the writing parameters
and conditions employed during the PDMS mold mask-less fabrication,
namely, the laser source pulse power, number of pulses, repetition
rate, and pressure of the vacuum chamber. All these parameters have
been systematically changed for engineering the pillars’ characteristics
(Figure S1), and an optimal set has been
sorted out (see the Experimental Section).
Scanning electron microscopy (SEM) images show the HAR conical shape
of the individual pillars (Figure c) and provide an idea of the repeatability of the
overall fabrication procedure (Figure d,e). Average pillars’ height, base diameter,
and half-height width are 6.4 ± 0.3, about 2.3 ± 0.1, and
about 1.2 ± 0.2 μm, respectively. The mean distance between
two adjacent pillars (from center to center) is 7.2 ± 0.2 μm.
In Figure c, it is
possible to appreciate the increased surface area due to the nanometer-scale
roughness of the organic semiconducting pillars, usually achieved
in HAR inorganic structures through expensive and time-consuming methods.[55,56] It was demonstrated that the presence of nanogrooves on micropillar
side walls is an essential parameter for the formation of 3D neuronal
networks in vitro since they enhance the adhesion of neuronal processes
to the pillar body.[55] Importantly, the
conical shape of the HAR rr-P3HT structures allows combination of
the advantages of micro- and nanoscale topographies. In particular,
the micrometer-sized base confers to the soft rr-P3HT pillars’
good mechanical stability, while the submicrometer rounded tip is
expected to establish a tight interface with the living cell membrane.
The distance between HAR pillars is another key parameter. In fact,
high-density pillar arrays (adjacent pillar pitch lower than a critical
value of about 2 μm) usually lead to limited cellular adhesion
and proliferation. This effect has been unanimously attributed to
a reduced contact area with the underlying flat substrate.[9,50] Conversely, when the interpillar distance is much higher (pillar
density < 30 pillars 100 μm–2), the adhesion
and proliferation of cells are enhanced. Interestingly, it was observed
that Si and InAs pillar arrays, with a density in the range of the
one employed in our case (2 pillars 100 μm–2), promote cells to spread out, with a larger area, without seriously
affecting their viability.[57,58]Aiming at interfacing
the realized polymer microstructured substrates with a biological
environment, it is important to preliminarily characterize their electrochemical
behavior in contact with an aqueous saline medium. To this goal, we
carry out electrochemical impedance spectroscopy (EIS) measurements
at the electrochemical equilibrium, that is, at potential values corresponding
to the device open circuit potential, by employing KRH extracellular
solution as the electrolyte. This allows the study of the system in
conditions similar to the ones employed in electrophysiological experiments.By modeling the system with a simple frequency-dependent RC circuit
and considering it at frequencies below 10 Hz, it is possible to obtain
information about the device/electrolyte interface. In particular,
within this low frequency range, the capacitor well approximates the
Helmholtz double layer established at the interface.[59−63]The equivalent capacitance C(ω) and
impedance
modulus |Z| versus frequency
(f) plots in the 0.01 Hz to 100 kHz frequency range,
extrapolated from the flat rr-P3HT EIS data, are displayed in Figure S2, and they show the typical trend reported
in the literature.[60,61] Here, we focus our attention
on the C(ω) and |Z| trends
below 10 Hz (Figure ). In the case of the flat rr-P3HT surface, an approximately constant C(ω) value is observed at frequencies <1 Hz, ascribed
to the Helmholtz double layer capacitance (Figure a). Conversely, in the case of the rr-P3HT
pillar/electrolyte interface, C(ω) is characterized
by a distinct behavior, being approximately constant between 1 and
0.2 Hz, steadily increasing at frequency values of <0.2 Hz and
finally reaching a value of 53 μF cm–2 at
0.01 Hz. The latter regime can be ascribed to the establishment of
a volumetric capacitance due to an enhanced percolation of ionic species
through the organic semiconductor that expands the electrochemical
active surface area.[61,64] A detailed understanding of this
phenomenon, however, requires deeper investigations and falls out
of the scope of the present work. We consider only the 0.2–1
Hz frequency range where the C(ω) is constant
and the volumetric capacitance contribution is negligible, thus making
it possible to evaluate the increase in the surface area exclusively
depending on the pillars’ morphology. We observe that C(ω) at 0.2 Hz is equal to 12.2 μF cm–2 (normalized on the geometrical device area), almost 3 times higher
than the corresponding value in the flat case (4.4 μF cm–2), in line with the existing literature.[59,60,65] The active surface area increment,
due both to ion percolation and surface topography, leads to the noticeable
decrease of the device impedance modulus by about 15 times (Figure b), passing from
the flat rr-P3HT morphology to the microstructured one. This result
is promising in view of the implementation of low impedance polymeric
electrodes for electrically assisted cell proliferation and differentiation
applications, as well as for electrical stimulation and recording
of living cell activity, since it is related to a higher signal-to-noise
ratio and higher charge injection limit.[56,66]
Figure 2
Electrochemical
impedance spectroscopy. Equivalent capacitance C(ω)
(a) and impedance modulus (b), extracted from
EIS data, normalized to the device geometrical surface area.
Electrochemical
impedance spectroscopy. Equivalent capacitance C(ω)
(a) and impedance modulus (b), extracted from
EIS data, normalized to the device geometrical surface area.
Living Cell Cultures
Although the
good viability of
several cell models on top of rr-P3HT thin films was extensively verified,[67,68] cell growth and proliferation on top of rr-P3HT microstructures
may be strongly affected by the underlying topography, and viability
needs to be carefully assessed. Thus, viability of cells cultured
on top of HAR rr-P3HT pillars was directly evaluated by employing
both a cell line (humanembryonic kidney cells, HEK-293) and neurons
(primary cortical neurons). HOECHST/NucGreen staining was used to
evaluate the relative percentage of healthy cells on the two substrates
(Figure ), obtaining
>90% viable cells both for HEK-293 and neuron cell cultures after
1 and 14 days in vitro (DIV), respectively. No significant differences
were detected between rr-P3HT planar and microstructured regions.
Figure 3
HEK-293
and cortical neurons viability. Bright field and fluorescence
images of HEK-293 cells and cortical neurons cultured on flat rr-P3HT
(a,b,e,f) and rr-P3HT pillars (c,d,g,h), respectively. All cell nuclei
are stained by HOECHST (blue); dead cell nuclei are stained by NucGreen
(green). Scale bar, 50 μm. Histograms showing the percentage
of viable HEK-293 cells (i) and cortical neurons (j) on the different
device morphologies. n = 450 cells for each substrate
type. Error bars represent the standard error of the mean (s.e.m.).
HEK-293
and cortical neurons viability. Bright field and fluorescence
images of HEK-293 cells and cortical neurons cultured on flat rr-P3HT
(a,b,e,f) and rr-P3HT pillars (c,d,g,h), respectively. All cell nuclei
are stained by HOECHST (blue); dead cell nuclei are stained by NucGreen
(green). Scale bar, 50 μm. Histograms showing the percentage
of viable HEK-293 cells (i) and cortical neurons (j) on the different
device morphologies. n = 450 cells for each substrate
type. Error bars represent the standard error of the mean (s.e.m.).The morphologies of HEK-293 and cortical neurons
grown on top of
polymer flat and microstructured substrates are qualitatively assessed
by SEM. Figure clearly
shows a significant difference in the morphology of the cells plated
on the two different substrates. Both HEK-293 and primary neuronal
cells cultured on flat rr-P3HT present a planar, two-dimensional shape.
Conversely, when cultured on top of polymer microstructures, HEK-293
cells and neuronal soma remain largely suspended on top of the pillars,
rarely reaching the underlying substrate. It can be also appreciated
how the selected array geometry leads to a more elongated morphology
of the cell body, especially in the case of HEK-293 cells. Interestingly,
the cell membrane thinning in the proximity of the pillar tips points
to the attainment of a tight cell/material interface.
Figure 4
SEM micrographs of cells
cultured on rr-P3HT flat and microstructured
samples. Top-view SEM images of HEK-293 cells (a,b) and cortical neurons
(c,d). Scale bars, 20 and 10 μm for panels (a,c) and (b,d),
respectively.
SEM micrographs of cells
cultured on rr-P3HT flat and microstructured
samples. Top-view SEM images of HEK-293 cells (a,b) and cortical neurons
(c,d). Scale bars, 20 and 10 μm for panels (a,c) and (b,d),
respectively.
Morphological Analysis
In order to corroborate and
quantify the observed changes in the morphology of HEK-293 cells cultured
on top of rr-P3HT microstructured substrates, we carry out immunofluorescence
imaging experiments. Figure depicts representative fluorescence images of the nuclei
and cytoskeleton, marked with DAPI (blue) and phalloidin-FITC (green),
respectively, of the cells grown on top of planar (Figure a) and pillar-modified (Figure b) regions. The cells
plated on rr-P3HT pillars show a more elongated shape (Figure c) than the ones grown on the
flat controls, in line with the obtained results of HEK-293 plated
on similar densities of HAR microstructures[57] and also with other cell types.[69] The
pillar microstructures induce a sizable shrinking of the cell membrane
in the x–y plane and at the
same time a spreading in the z direction, qualitatively
observed in the SEM images (Figure ) and quantitatively confirmed also by the measurement
of the average top-view surface area of cells (Figure S3). Interestingly, the quantitative evaluation of
the average cell perimeter (normalized to the cell area, Figure d) shows that the
cells adhered on the rr-P3HT pillars develop more cellular projections,
similar to what was already observed in the case of cells cultured
on HAR silicon pillars with an interdistance of >2 μm[58] as well as on silicon nanowires.[6,70]
Figure 5
HEK-293
cell morphological analysis. Immunofluorescence images
of HEK-293 cells cultured on top of rr-P3HT flat (a) and rr-P3HT pillars
(b). Cell nuclei and cytoskeleton are stained with DAPI (blue) and
phalloidin-FITC (green), respectively. Scale bar, 50 μm. Quantification
and comparison of cell morphological parameters in terms of circularity
(c) and perimeter normalized to the cell area (d). Mean values are
averaged over a statistical ensemble of n = 100 cells
for each substrate type. Error bars represent the s.e.m. ***, p < 0.001 (Student t test).
HEK-293
cell morphological analysis. Immunofluorescence images
of HEK-293 cells cultured on top of rr-P3HT flat (a) and rr-P3HT pillars
(b). Cell nuclei and cytoskeleton are stained with DAPI (blue) and
phalloidin-FITC (green), respectively. Scale bar, 50 μm. Quantification
and comparison of cell morphological parameters in terms of circularity
(c) and perimeter normalized to the cell area (d). Mean values are
averaged over a statistical ensemble of n = 100 cells
for each substrate type. Error bars represent the s.e.m. ***, p < 0.001 (Student t test).While it is widely accepted that mechanical cues and subsequent
changes on cell morphology strongly influence fundamental cellular
processes, including cell–cell communication, metabolism, regulation
of cellular proliferation, and genetic reprogramming of the cell fate,
a detailed knowledge of the cellular mechanosensory and mechanotransduction
networks is still lacking.[71−73] The observed substantial remodeling
of the cytoskeleton here observed in HEK-293 model cell lines driven
by polymer pillars thus deserves specific attention, and it will be
the object of future investigations in different cell models. In this
work, we opted for extending our morphological analysis to the case
of cortical neurons as one of the most relevant examples of excitable
cells (Figure ). We
compared the dendritic morphology of cortical neurons grown in the
absence of the polymer (Figure a), on top of rr-P3HT pillars (Figure b), and on planar rr-P3HT (Figure c). MAP2 staining showed that
the neurons cultured in the presence of the rr-P3HT polymer (flat
or pillar) have a slight decrease in the number of primary and secondary
dendrites (Figure d,e), as well as in the number of branching points (Figure f), as compared to neurons
cultured on glass coverslips. Interestingly, we did not find any significant
difference between rr-P3HT pillars and flat conditions. In this regard,
several reports in the literature have addressed the effect of micro-
and nanostructured substrates, including continuous geometries, like
grooved substrates or electrospun fibers,[74−76] and discontinuous
geometries like pillar arrays,[75,77] on neuronal morphology.
To this purpose, silicon micropillars were mainly employed, while
different cell models were used, including dorsal root ganglion neurons,[78] spiral ganglion neuronal cells,[79] and hippocampal neurons.[55,80−83] In general, it has been reported that the neuron outgrowth on micropillars
is strongly affected by the pillar density,[77,79−81] and in particular, it was found that pillar spacing
lower than 4.5 μm heavily affects the neuron outgrowth. Conversely,
at higher interpillar distances, the neuron morphology is comparable
to the one of the flat control substrates.[55,81] These findings are in line with our results, even though a direct
comparison is not strictly possible due to the differences in substrate
materials composition and in cell models and maturation stage.[78]
Figure 6
Cortical neuron morphological analysis. Rat cortical neurons
cultured
on top of glass (a), rr-P3HT pillars (b), and rr-P3HT flat (c) stained
for MAP2. Histograms showing the number of primary dendrites (d), secondary dendrites (e),
and branching points (f) of neurons on different devices. n = 30 cells for each condition. Error bars represent the
s.e.m. Scale bars, 50 μm. One-way ANOVA followed by Bonferroni
correction.
Cortical neuron morphological analysis. Rat cortical neurons
cultured
on top of glass (a), rr-P3HT pillars (b), and rr-P3HT flat (c) stained
for MAP2. Histograms showing the number of primary dendrites (d), secondary dendrites (e),
and branching points (f) of neurons on different devices. n = 30 cells for each condition. Error bars represent the
s.e.m. Scale bars, 50 μm. One-way ANOVA followed by Bonferroni
correction.Importantly, the fact that structured
substrates do not significantly
alter the neuron morphology suggests that their functional properties
should be preserved as well, given the intimate relationship between
the dendritic expression and the information transduction capability.
To this goal, we evaluated the expression of synaptic markers and
carried out electrophysiology assays.
Neuronal Functionality
To investigate whether the microstructured
polymer structure affects the number and the size of synapses, we
stained excitatory synapses with the presynaptic marker vGLUT and
the post synaptic marker PSD-95 and inhibitory synapses with the presynaptic
marker vGAT (Figure ). We did not find any difference both in the density and size of
vGLUT positive puncta in neurons cultured in the presence of the rr-P3HT
polymer (flat or pillar) and in neurons cultured on glass coverslips
(Figure a–c).
The number of PSD-95 positive puncta was unchanged among the three
conditions, while the size of PSD-95 clusters was slightly increased
in neurons cultured in the rr-P3HT flat condition compared with neurons
cultured on glass coverslips or on rr-P3HT pillars (Figure d–f). Moreover, when
we labeled inhibitory synapses, we did not detect any difference both
in the density and size of vGAT positive puncta in neurons cultured
in the presence of the rr-P3HT polymer (flat or pillar) and in neurons
cultured on glass coverslips (Figure g–i). Altogether these data demonstrate that
synapse formation is not altered on neurons grown on top of rr-P3HT
pillars compared with neurons grown on the flat polymer or glass coverslips.
Figure 7
Analysis
and quantification of excitatory and inhibitory synapses
of cortical neurons. (a) vGLUT staining (green) of rat cortical neurons
cultured on top of glass, rr-P3HT pillars, and rr-P3HT flat (from
left to right, respectively). Histograms show vGLUT cluster density
(b) and area (c). (d) PSD-95 staining (green) on glass, microstructured,
and flat polymer samples (from left to right, respectively). Histograms
show PSD-95 cluster density (e) and area (f). (g) vGAT staining (green)
on glass, microstructured, and flat polymer samples (from left to
right, respectively). Histograms show vGAT cluster density (h) and
area (i). Cell nuclei are stained with DAPI. n =
8/16 neurons for each substrate. Panels (a,d,g), scale bar 20 μm.
Insets of panels (a,d,g) show a magnification of the stained puncta
(scale bar, 3 μm). Error bars represent the s.e.m. (one-way
ANOVA followed by Bonferroni correction).
Analysis
and quantification of excitatory and inhibitory synapses
of cortical neurons. (a) vGLUT staining (green) of rat cortical neurons
cultured on top of glass, rr-P3HT pillars, and rr-P3HT flat (from
left to right, respectively). Histograms show vGLUT cluster density
(b) and area (c). (d) PSD-95 staining (green) on glass, microstructured,
and flat polymer samples (from left to right, respectively). Histograms
show PSD-95 cluster density (e) and area (f). (g) vGAT staining (green)
on glass, microstructured, and flat polymer samples (from left to
right, respectively). Histograms show vGAT cluster density (h) and
area (i). Cell nuclei are stained with DAPI. n =
8/16 neurons for each substrate. Panels (a,d,g), scale bar 20 μm.
Insets of panels (a,d,g) show a magnification of the stained puncta
(scale bar, 3 μm). Error bars represent the s.e.m. (one-way
ANOVA followed by Bonferroni correction).Finally, in order to directly verify whether the membrane passive
properties and the electrophysiological activity of primary cortical
neurons cultured on rr-P3HT HAR pillars are also successfully preserved,
we carry out patch clamp recordings in a whole-cell configuration
(Figure ). Figure a,b compares the
equilibrium parameters of the cells plated both on flat and on microstructured
rr-P3HT areas. The average cell membrane resting potentials (Vm = −68 ± 1 mV and Vm = −66 ± 1 mV on pillars and flat regions,
respectively, displayed as mean ± s.e.m.) do not show any significant
dependence on the substrate type, showing, in both cases, the typical
value recorded in vitro (Figure a). Conversely, the average cell membrane capacitance Cm is significantly higher in the case of rr-P3HT
pillars, possibly due to the increase in the cell membrane surface
area (Figure b). Since
the Cm value reported in Figure b is normalized over the cell
body top-view surface area, it is possible to relate the surface area
increment only to the cell membrane elongation in the z direction exerted by the pillars, observed in the SEM images (Figure ). Figure c,d shows whole-cell recordings
in the current clamp configuration carried out on neurons cultured
on both the microstructured and the planar polymer substrates, respectively.
The intracellular current injection in subsequent steps of 20 pA amplitude
and 20 ms time duration and the simultaneous recording of the membrane
potential allow evaluation of the threshold current value (Ith), above which action potential firing is
observed. Ith is very similar in the two
cases, with no statistically significant difference (Figure e). The action potential characteristics
are also not affected by the substrate morphology, as displayed by
the similar time to peak versus intensity trends of the neurons grown
on pillars and flat regions (Figure f). Overall, synaptic expression assays and whole-cell
patch clamp experiments demonstrate that the main functional properties
of primary cortical neurons cultured on top of polymer pillars are
very well preserved.
Figure 8
Cortical neuron electrophysiology. Average cell membrane
resting
potential Vm (a) and cell membrane capacitance Cm (b) of neurons grown on planar and microstructured
substrates. Cm values are normalized to
the cell surface area in the x–y plane. *, p < 0.05 (Student t test). Representative action potential traces elicited in neurons
plated on rr-P3HT pillars (c) and rr-P3HT flat (d) by 20 ms current
steps of 20 pA amplitude. (e) Average threshold current intensity,
as normalized to the cell membrane capacitance. (f) Neuron action
potential time to peak versus amplitude. Error bars represent s.e.m.
Cortical neuron electrophysiology. Average cell membrane
resting
potential Vm (a) and cell membrane capacitance Cm (b) of neurons grown on planar and microstructured
substrates. Cm values are normalized to
the cell surface area in the x–y plane. *, p < 0.05 (Student t test). Representative action potential traces elicited in neurons
plated on rr-P3HT pillars (c) and rr-P3HT flat (d) by 20 ms current
steps of 20 pA amplitude. (e) Average threshold current intensity,
as normalized to the cell membrane capacitance. (f) Neuron action
potential time to peak versus amplitude. Error bars represent s.e.m.
Conclusions
This paper reports the
successful fabrication of semiconducting
polymer microstructures of conical shape, based on rr-P3HT, by coupling
the femtosecond micromachining and the push-coating technique. The
fabrication process allows for the realization of biocompatible, three-dimensional
devices in a highly versatile, fast, straightforward, and repeatable
way. Realized semiconducting polymer pillars are characterized by
a HAR and usefully combine the advantages of micro- and nanoscale
topographies, without making recourse to complex fabrication techniques,
as it is required instead in the case of inorganic, stiff electrodes.
In fact, the micrometer-sized base confers the soft rr-P3HT pillars
good mechanical stability, while the submicrometer rounded tip establishes
a tight interface with the living cell membrane. We have demonstrated
that polymer pillars are highly biocompatible substrates suitable
for both primary cortical neurons and cell line HEK-293. The versatility
of the fabrication technique, however, allows for prompt and straightforward
variation of geometrical parameters, adaptable to specific requirements
of other cellular models. Interestingly, we observe a sizable change
in the morphology of HEK-293 cells cultured on polymer pillars, showing
a pronounced tendency to develop in the three-dimensional space. Moreover,
the adopted shape and density of polymer pillars lead to establishing
a close contact with the neuronal cell membrane, without however negatively
affecting cell viability and electrophysiological properties. Importantly,
rr-P3HT structured devices are compatible with visible-light modulation
of the cell activity. Organic semiconducting thin-film substrates
were recently proposed by our group and other groups for localized
optical control of the activity of living cells.[59,67,68,84−86] Underlying physical transduction mechanisms include electrical,
electrochemical, and thermal mechanisms.[87−90] Based on these reports, we conclude
that the use of rr-P3HT polymer pillars represents a useful implementation
of the existent devices for living cell optical excitation, thus first
opening the way to the combined use of three-dimensional functional
polymer structures and optical stimulation.
Authors: Jianping Fu; Yang-Kao Wang; Michael T Yang; Ravi A Desai; Xiang Yu; Zhijun Liu; Christopher S Chen Journal: Nat Methods Date: 2010-08-01 Impact factor: 28.547
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