The extracellular microenvironment is an important regulator of cell functions. Numerous structural cues present in the cellular microenvironment, such as ligand distribution and substrate topography, have been shown to influence cell behavior. However, the roles of these cues are often studied individually using simplified, single-cue platforms that lack the complexity of the three-dimensional, multi-cue environment cells encounter in vivo. Developing ways to bridge this gap, while still allowing mechanistic investigation into the cellular response, represents a critical step to advance the field. Here, we present a new approach to address this need by combining optics-based protein patterning and lithography-based substrate microfabrication, which enables high-throughput investigation of complex cellular environments. Using a contactless and maskless UV-projection system, we created patterns of extracellular proteins (resembling contact-guidance cues) on a two-and-a-half-dimensional (2.5D) cell culture chip containing a library of well-defined microstructures (resembling topographical cues). As a first step, we optimized experimental parameters of the patterning protocol for the patterning of protein matrixes on planar and non-planar (2.5D cell culture chip) substrates and tested the technique with adherent cells (human bone marrow stromal cells). Next, we fine-tuned protein incubation conditions for two different vascular-derived human cell types (myofibroblasts and umbilical vein endothelial cells) and quantified the orientation response of these cells on the 2.5D, physiologically relevant multi-cue environments. On concave, patterned structures (curvatures between κ = 1/2500 and κ = 1/125 μm-1), both cell types predominantly oriented in the direction of the contact-guidance pattern. In contrast, for human myofibroblasts on micropatterned convex substrates with higher curvatures (κ ≥ 1/1000 μm-1), the majority of cells aligned along the longitudinal direction of the 2.5D features, indicating that these cells followed the structural cues from the substrate curvature instead. These findings exemplify the potential of this approach for systematic investigation of cellular responses to multiple microenvironmental cues.
The extracellular microenvironment is an important regulator of cell functions. Numerous structural cues present in the cellular microenvironment, such as ligand distribution and substrate topography, have been shown to influence cell behavior. However, the roles of these cues are often studied individually using simplified, single-cue platforms that lack the complexity of the three-dimensional, multi-cue environment cells encounter in vivo. Developing ways to bridge this gap, while still allowing mechanistic investigation into the cellular response, represents a critical step to advance the field. Here, we present a new approach to address this need by combining optics-based protein patterning and lithography-based substrate microfabrication, which enables high-throughput investigation of complex cellular environments. Using a contactless and maskless UV-projection system, we created patterns of extracellular proteins (resembling contact-guidance cues) on a two-and-a-half-dimensional (2.5D) cell culture chip containing a library of well-defined microstructures (resembling topographical cues). As a first step, we optimized experimental parameters of the patterning protocol for the patterning of protein matrixes on planar and non-planar (2.5D cell culture chip) substrates and tested the technique with adherent cells (human bone marrow stromal cells). Next, we fine-tuned protein incubation conditions for two different vascular-derived human cell types (myofibroblasts and umbilical vein endothelial cells) and quantified the orientation response of these cells on the 2.5D, physiologically relevant multi-cue environments. On concave, patterned structures (curvatures between κ = 1/2500 and κ = 1/125 μm-1), both cell types predominantly oriented in the direction of the contact-guidance pattern. In contrast, for human myofibroblasts on micropatterned convex substrates with higher curvatures (κ ≥ 1/1000 μm-1), the majority of cells aligned along the longitudinal direction of the 2.5D features, indicating that these cells followed the structural cues from the substrate curvature instead. These findings exemplify the potential of this approach for systematic investigation of cellular responses to multiple microenvironmental cues.
In vivo, cells are subjected to an orchestra of
physical, (bio)chemical, and mechanical cues present in the surrounding
extracellular environment, which have been separately shown to influence
cellular behavior.[1−4] For example, one of the most studied cellular responses is contact
guidance, which is the phenomenon of cell and stress-fiber alignment
in the direction of anisotropic geometrical cues.[5−13] Contact-guidance cues can be emulated in vitro and
presented to cells by patterning extracellular matrix (ECM) proteins
on an otherwise non-cell-adhesive two-dimensional (2D) substrate.
2D protein patterns are often produced using microcontact printing,
where a protein-inked polydimethylsiloxane (PDMS) stamp containing
a desired micrometer-sized feature is brought into contact with a
substrate in order to transfer the protein ink.[14] This technique enables patterning of relatively large areas
in one go and can be used for a wide range of substrate materials.[14,15] 2D protein patterns can also be created using deep UV (ultraviolet)
patterning, where UV light is applied through a physical mask to degrade
passivation polymers at specified locations on the substrate, which
can then be coated with the desired protein.[16−19] Using these approaches, it has
been shown that cell differentiation can be directed by modulating
the cell shape and that focal adhesion, stress fiber organization,
and cell migration are all strongly influenced by the adhesive environment.[20−23]The role of the three-dimensional (3D) environment on cell
behavior
has also gathered increasing attention.[24] In particular, the in vivo ECM often presents cells
with topographical cues at length scales of μm to hundreds of
μm; examples include collagen fibers in the tendon (Ø = 1–20 μm) and also overall tissue curvatures
such as capillaries (Ø = 6 μm), arterioles
(Ø = 30 μm), small arteries (Ø = 1000 μm), and alveoli (75–300 μm).[25,26] Experiments using engineered cell environments, such as 3D substrate
curvatures of electrospun fibers, have been shown to elicit a cell-type-dependent
orientation response. On fibers with diameters of at least 5 μm,
endothelial cells were able to wrap around fibers, whereas endothelial
colony-forming cells aligned in the fiber direction.[27] Similarly, the degree of substrate curvature can influence
cellular orientation as shown by Hwang et al.(28) Common bottlenecks in gaining mechanistic insights
into the role of the 3D structure and geometry are the limited degree
of control and precision over the environmental cues presented to
the cells and the difficulty in obtaining high-resolution microscopic
readout due to the limited penetration depth and Z-resolution. To address these issues, we propose using microfabricated
platforms containing two-and-a-half-dimensional (2.5D) cues. 2.5D
substrate cues contain structural geometries and topographies that
represent relevant 3D environments cells typically encounter in vivo. Since the topographies are partially embedded in
the substrate surface, it is neither 2D or 3D and hence 2.5D. Microfabricated
2.5D platforms, made with techniques such as hot embossing, thermoforming,
photolithography, soft lithography, or electron beam lithography,
provide cells with a structurally more representative biomimetic environment
compared to 2D substrates, while still retaining a high degree of
control over parameters such as material, coating, roughness, stiffness,
and dimensions of features.[29−33] 2.5D platforms are rapidly gaining popularity and show great promise
in unraveling the influence of substrate geometry on cell behavior.[24,34−39]The abovementioned studies demonstrate the usefulness of in vitro minimal models to dissect cells’ ability
to sense and respond to individual physical and geometrical cues through
contact guidance and curvature sensing.[40]In vivo, however, multiple cues are present simultaneously.
To improve mimicking multi-cue cellular environments and understand
cell behavior in such complex settings, it is imperative to create
substrates that contain multiple cues in a controlled manner. Here,
we focused on the combination of contact-guidance and curvature-guidance
cues as a prime example of how multiple structural features can concurrently
modulate cell response. Previously, contact guidance has been proven
to influence cellular behavior in multiple ways. For example, cells’
orientation,[21,23] migration,[41] polarization,[42] cell shape,[18] and cell fate[43] are
affected by contact-guidance cues.[44] Identically,
curvature guidance is an established physical cue that among others
influences cell alignment,[45] migration,[38,46] differentiation,[46] and polarization.[24,35,36] Combining these cues on one cell-culture
substrate has proven to be particularly challenging, primarily due
to technical limitations. Contact-mediated protein patterning is not
possible on structured substrates with features in the micrometer
range due to alignment difficulties. Besides, as microcontact printing
and deep-UV patterning make use of soft lithography methods and physical
masks during substrate preparation, experiments are typically time-
and labor-intensive and limited in terms of pattern flexibility. Waterkotte et al. introduced an approach involving maskless lithography,
chemical vapor deposition, and thermoforming to combine surface topographies
with protein patterns.[47] This method, however,
is limited to materials that are suitable for thermoforming and has
a relatively low pattern resolution (7.5 μm), while contact-guidance
cues as small as 0.1 μm2 have been shown to affect
cell response.[43,48] Another approach was developed
by Sevcik et al.,[49] who
made use of microcontact printing on sacrificial poly(N-isopropylacrylamide) (PIPAAm) layers that were subsequently used
for transfer of the ink from the thermally transformed PIPAAm onto
a PDMS substrate containing topographies. Unfortunately, this method
is also limited in terms of pattern flexibility and resolution of
the final pattern due to its need for photolithographic methods and
microcontact printing. Overall, we note that existing methods (e.g.,
microcontact printing, deep-UV patterning, and photolithography) have
been crucial in uncovering the influence of individual substrate cues
on cellular behavior but lack the ability to fabricate and systematically
change substrate cues to investigate the effect of multiple cues at
the same time. In order to advance the current understanding of cellular
behavior both in vitro and in vivo, new methods are needed that can be applied in a flexible, high-throughput,
and robust manner. Eventually, the obtained knowledge can contribute
to steer cell behavior in, for example, engineered scaffolds that
can be applied for tissue engineering. Especially in this field, the
formation of functional tissues (e.g., for cardiac tissues, muscles,
and the vascular wall) relies on the specific organization of cells
and the ECM.[10,50,51]In the present study, we introduce a new approach that circumvents
the limitations associated with the existing approaches through a
rapid, contactless, and maskless patterning of ECM proteins on a culture
chip containing a library of micro- to mesoscale 2.5D structures.
This approach enables an improved resolution of protein patterns on
structured substrates and allows use of a wide range of substrate
materials. Moreover, the use of a 2.5D chip containing curved substrates
allows for easy microscopic evaluation of cells and their intracellular
components. We first explored and validated this novel patterning
approach by looking at the response of human bone-marrow-derived mesenchymal
stromal cells (hBMSCs) on convex cylindrical substrates, for which
the cellular response to contact-guidance and curvature-guidance cues
has been previously studied using another method.[37,38] In this case, the hBMSCs are used as a cell model to test the developed
protocol for adherent cells. We then show a proof-of-principle demonstration
for this method in a specific application area (i.e., blood vessel),
for which the two cues are particularly relevant. We found that human
myofibroblasts (hmFBs), the cells responsible for tissue growth and
remodeling in blood vessels, distinctly respond to both contact- and
curvature-guidance cues in a substrate-type-dependent manner. Subsequently,
the orientation behavior of human umbilical vein endothelial cells
(HUVECs) on the combination of cues is measured and compared to the
response of hBMSCs and hmFBs.
Materials and Methods
Experimental
Approach
In our approach, we employed
a cell culture chip containing a library of 2.5D structures (Figure S1) and added patterning of the ECM protein
on top of these 2.5D structures to provide contact-guidance cues.
Patterning on 2.5D structures was enabled using light-induced molecular
adsorption of proteins (LIMAP).[52] This
technique enables spatial control of a user-defined UV-light pattern
that is projected onto a substrate using a digital micromirror device
(DMD). Figure summarizes
the main steps involved in the patterning process. After fabrication
of the structured PDMS cell culture chip using soft lithography, the
surface of the substrates was passivated to prevent unspecific attachment
of cells and proteins. By means of photoinitiated cleavage of the
passivation layer using the DMD for user-defined patterning, regions
of a predefined shape and size were created in this passivation layer.[52] This approach enables the fabrication of cell
culture materials with patterned areas of any desired size and design.
Incubation of the substrate with a desired protein solution [e.g.,
fibronectin (FN), collagen, or fibrinogen] subsequently leads to protein
adsorption at the patterned regions. Cells were then seeded and could
attach to the adhesive regions where the protein adsorbed to the surface.
Confocal microscopy was used to image the 2.5D chip with protein patterns
and cells, after which the response of single cells to the multi-cue
environment was analyzed.
Figure 1
Outline of the experimental procedure of patterning
on structured
cell culture substrates. Substrates containing 2.5D features are fabricated
by PDMS replica molding of a glass-etched negative mold and treated
with oxygen plasma to clean the PDMS surface (step 1). The surface
is then passivated to prevent unspecific attachment of proteins and
cells (blue, step 2). After washing, the chip is transferred to the
protein-patterning setup and turned upside down in a droplet of the
photoinitiator (PLPP, green). UV light (purple) is projected in a
pattern on the substrate (circumferential lines as a proof of principle)
which initiates the cleavage of the passivation layer at the illuminated
locations (step 3). As the pattern is user-defined, other patterning
possibilities can be applied as well. Example images of crosshatches,
longitudinal lines, or text patterns are shown (top: x–y views, bottom: x–z views). The fluorescently labeled protein (red) is incubated
on the chip and can only adsorb at the locations where the passivation
layer was cleaved (step 4). After protein incubation, the cells are
seeded and only attach to the protein-coated areas on the structured
substrate (step 5). The zoomed-in image shows a maximum intensity
projection of hmFBs that are stained for F-actin (green) and nuclei
(blue) on a cylindrical substrate (concave, κ = 1/250 μm–1) patterned with 10 × 10 μm (width ×
spacing) rhodamine-labeled FN lines (red). Scale bar: 50 μm.
Outline of the experimental procedure of patterning
on structured
cell culture substrates. Substrates containing 2.5D features are fabricated
by PDMS replica molding of a glass-etched negative mold and treated
with oxygen plasma to clean the PDMS surface (step 1). The surface
is then passivated to prevent unspecific attachment of proteins and
cells (blue, step 2). After washing, the chip is transferred to the
protein-patterning setup and turned upside down in a droplet of the
photoinitiator (PLPP, green). UV light (purple) is projected in a
pattern on the substrate (circumferential lines as a proof of principle)
which initiates the cleavage of the passivation layer at the illuminated
locations (step 3). As the pattern is user-defined, other patterning
possibilities can be applied as well. Example images of crosshatches,
longitudinal lines, or text patterns are shown (top: x–y views, bottom: x–z views). The fluorescently labeled protein (red) is incubated
on the chip and can only adsorb at the locations where the passivation
layer was cleaved (step 4). After protein incubation, the cells are
seeded and only attach to the protein-coated areas on the structured
substrate (step 5). The zoomed-in image shows a maximum intensity
projection of hmFBs that are stained for F-actin (green) and nuclei
(blue) on a cylindrical substrate (concave, κ = 1/250 μm–1) patterned with 10 × 10 μm (width ×
spacing) rhodamine-labeled FN lines (red). Scale bar: 50 μm.
Fabrication of Cell Culture Chips
The cell culture
chips that provide 2.5D structured substrates for the cells were produced
as described previously.[37] A negative mold
containing semi-cylinders (convex and concave) with curvatures of
κ = 1/125, 1/175, 1/250, 1/375, 1/500, 1/1000, and 1/2500 μm–1 and a length of 1000 μm, surrounded by flat
areas, was designed using computer-aided design software (Rhinoceros
3D, McNeel Europe). This mold was produced from glass by FEMTOPrint
(Muzzano, Switzerland) using a femtosecond-laser direct-write technique.
The negative glass mold was used for the fabrication of a positive
PDMS (Dow Corning, a Sylgard 184 Silicone Elastomer Kit, a prepolymer
and curing agent, a 10:1 weight ratio) cell culture chip by pouring
the PDMS prepolymer onto the glass mold, followed by degassing and
curing for 3 h at 65 °C in a laboratory oven. After unmolding,
a thin additional layer of PDMS was applied to the chip in order to
create a smooth surface.[37] The positive
PDMS chip was subsequently used for the fabrication of a negative
PDMS mold, again by degassing and curing at 65 °C in a laboratory
oven. In order to prevent bonding between the mold and the chip, tridecafluoro(1,1,2,2-tetrahydrooctyl)trichlorosilane
(AB111444, ABCR) was used as silanization agent. Next, the negative
PDMS mold was utilized for the production of multiple cell culture
chips suited for the patterning and cell culture further downstream
the experimental procedure described in Figure . In this study, cell culture chips made
from PDMS, a commonly used cell substrate, were used as a proof of
principle; other soft polymers can in principle also be used.
Scanning
Electron Microscopy of the 2.5 Substrate
The
topography of the cell culture chip was characterized using scanning
electron microscopy (SEM) (Quanta 600, FEI). Under low vacuum, a large
field detector and backscatter electron detector were combined to
obtain images.
Fabrication of Flat PDMS Substrates
Flat PDMS surfaces
were fabricated to optimize the passivation protocol and served as
a control for the cell experiments. For this purpose, glass slides
(Menzel-Gläser, 32 mm Ø, #1) were spin-coated with a PDMS
solution (a 10:1 weight ratio) for 10 s at 500 rpm, followed by 50
s on 5000 rpm to obtain a final thickness of 10 μm. Samples
were cured overnight at 65 °C.
Optimization of Substrate
Passivation
Several passivation
protocols were evaluated to optimize the quality of the passivation
layer on PDMS substrates as well as the quality of the patterned protein
after protein incubation (Table ). 3-Aminopropyltriethoxysilane (APTES; A3648, Sigma-Aldrich)
and poly-l-lysine (PLL, P4707, Sigma-Aldrich) were used in
combination with mPEG-succinimidyl valerate (mPEG-SVA; MW 5000 Da,
Laysan Bio) as well as Pluronic F-127 (P2443, Sigma-Aldrich) to passivate
the PDMS substrates in various ways.
Table 1
Stepwise
Description of Five Passivation
Strategies for PDMS Surfaces
passivation
strategy
description
duration
and temperature
gas-phase passivation
with APTES
(1) place
an open vial with
APTES and the PDMS substrate in a hermetically sealed Petri dish
1 h, room temperature
(2) gently wash 3×
with HEPES (0.1 M) (8 < pH < 8.5)
(3) incubate the PDMS substrate
with 50 mg/mL mPEG-SVA in HEPES 0.1 M (8 < pH < 8.5)
1 h, room temperature
(4) wash 3× with PBS
liquid-phase passivation with APTES
(1) immerse the PDMS substrate
in a 1% APTES solution in Milli-Q
1 h, room temperature
(2) wash 3× with PBS
5 min/wash
(3) wash 3× with HEPES (0.1 M) (8 < pH < 8.5)
(4) incubate the PDMS substrate
with 50 mg/mL mPEG-SVA in HEPES 0.1 M (8 < pH < 8.5)
1 h, room temperature
(5) wash 3× with PBS
vacuum passivation with
APTES
(1) place the
PDMS substrate
and an open vial of APTES in a vacuum desiccator
overnight, room temperature
(2) wash 3× with HEPES (0.1 M) (8 < pH < 8.5)
(3) incubate the PDMS substrate
with 50 mg/mL mPEG-SVA in HEPES 0.1 M (8 < pH < 8.5)
1 h, room temperature
(4) wash 3× with PBS
passivation with poly-l-lysine and mPEG-SVA
(1) pretreat the
PDMS substrate
with oxygen plasma at 20–100 W
30–60 s
(2) incubate the substrate
with 500 mg/mL poly-l-lysine
30 min, room temperature
(3) wash 3× with HEPES (0.1 M) (8 < pH < 8.5)
(4) incubate the PDMS substrate
with 50 mg/mL mPEG-SVA in HEPES 0.1 M (8 < pH < 8.5)
1 h, room temperature
(5) wash 3× with PBS
passivation with Pluronic F-127
(1) immerse the PDMS substrate
in a 1% Pluronic F-127 solution in
PBS
5 min
(2) wash 3× with PBS
5 min/wash
X-ray Photoelectron Spectroscopy
Measurements
Flat
PDMS samples {experimental conditions: PDMS, passivated PDMS, passivated
PDMS patterned using LIMAP, and passivated PDMS patterned using LIMAP
and incubated with FN [10 μg/mL in phosphate-buffered saline
(PBS)]} were prepared as described above, washed with Milli-Q, and
dried using N2. X-ray photoelectron spectroscopy (XPS)
spectra of samples were recorded using a Thermo Scientific K-Alpha
spectrometer equipped with a monochromatic, small-spot X-ray source
and a 180° double-focusing hemispherical analyzer with a 128-channel
detector. Spectra were recorded using an aluminum anode (Al Kα,
1486.7 eV, 72 W). Pass energies of 200 eV for the survey scans and
50 eV for the region scans were used. CasaXPS software (version 2.3.23)
was used for the analysis and quantification of the spectra.
Patterning
of Flat and Structured PDMS Substrates
Patterning
of flat PDMS substrates was performed following an established protocol.[52] UV photopatterning was realized by means of
LIMAP using Leonardo software (Alvéole, version 4.13, Paris).
To pattern cell culture chips containing 2.5D structures, the chips
were flipped upside down into a droplet of the photoinitiator [4-benzoylbenzyl-trimethylammonium
chloride (PLPP), Alvéole, Paris] on a glass slide (Menzel-Gläser,
32 mm Ø, #1). During patterning, the UV light projection at a
dose of 1000 mJ/mm2 was focused on the top and bottom of
the convex and concave features, respectively. After patterning, the
substrates were washed 1× with PBS before being incubated with
fluorescently labeled FN (FNR01-A, Cytoskeleton, Inc.). Incubation
times (5–30 min) and protein concentrations (10–50 μg/mL
in PBS) were varied under sterile conditions. Finally, the substrates
were washed again with PBS by pipetting up and down extensively.
Fabrication, Passivation, and Patterning of Polystyrene Cell
Culture Chips
Polystyrene (PS) chips were fabricated by clamping
a sheet of PS (190 μm thick, GoodFellow) to a negative PDMS
mold of the cell culture chip. The PS imprint of the cell culture
chips was formed after 30 min in the laboratory oven at 140 °C.
PS cell culture chips were passivated using PLL and mPEG-SVA and patterned
(lines, a 10 μm width and a 10 μm gap size, UV dose: 1000
mJ/mm2) and coated using 0.3 mg/mL collagen type I (bovine
PureCol, 3 mg/mL, Advanced BioMatrix).
Cell Seeding and Culture
on the Cell Culture Chip
Human
bone marrow stromal cells (hBMSCs), as a cell model to test our system,
were cultured at 37 °C and 5% CO2 in an expansion
medium [Dulbecco’s modified Eagle’s medium (DMEM; Sigma-Aldrich)
supplemented with 10% fetal bovine serum (FBS; Biochrom AG), 1% penicillin/streptomycin
(Biochrom AG), and 1% l-glutamine (glutaMAX; Invitrogen)].
1 mL of the cell suspension containing 20,000 cells was added to the
photopatterned chip and incubated at room temperature for 10 min and
at 37 °C and 5% CO2 for 1 h. After
this incubation step, the culture medium was replaced and the cells
were cultured on the chips for 24 h at 37 °C and 5% CO2 before fixation.hmFBs were harvested from the vena saphena
magna obtained from patients, as previously described and in line
with Dutch guidelines for secondary use of materials, and previously
characterized as myofibroblasts.[53] hmFBs
were cultured in advanced DMEM (Gibco) supplemented with 10% FBS (Merck
Millipore, BCBV7611), 1% penicillin/streptomycin, and 1% l-glutamine at 37 °C and 5% CO2. For seeding on the
photopatterned PDMS chip, we used hmFBs at passage 4. A total of 20,000
cells per chip were seeded and directly placed in the incubator for
30–45 min. After initial attachment of the cells, the chips
were gently washed to remove cells that did not attach during the
first 30–45 min. After medium replacement, the samples were
cultured at 37 °C and 5% CO2 for 24 h. Pooled HUVECs
(Lonza, C2519A) were cultured in the endothelial cell growth medium
with growth supplements (ECGM2 kit; PromoCell, C-22111) and 1% penicillin/streptomycin
at 37 °C and 5% CO2. For seeding on the photopatterned
PDMS chip, we used 20,000 HUVECs at passage 4. After seeding, chips
were directly transported to the incubator for 60 min. After medium
replacement, the samples were cultured at 37 °C and 5% CO2 for 24 h.
F-Actin and Nuclear Staining and Confocal
Imaging
Samples
were fixed with 3.7% paraformaldehyde (formalin 37%; 104033.1000,
Merck) for 15 min at room temperature. After washing with PBS, F-actin
was stained using Phalloidin-Atto (65906, Sigma-Aldrich) and nuclei
were stained using 4′,6-diamidino-2-phenylindole dihydrochloride
(D9542, Sigma-Aldrich). Stained chips were imaged using a Leica TCS
SP5 or an SP8 confocal microscope with 20×, 0.7 NA or 10×,
0.4 NA objectives. Z-stacks were recorded at a 4
μm Z-spacing.
Image Analysis
To correctly map the cell images made
on the cylindrical areas of the 2.5D features to a 2D plane for further
morphometric analysis, we used a custom-made script in MATLAB (The
Mathworks, Natick, USA). First, all cylinders were aligned vertically
in the images, after which the edges of the cylinder were identified
and used as boundaries for the mapping algorithm. Subsequently, all
intensity values were mapped to the correct horizontal positions,
depending on the known curvature and height of the cylinder and on
the relative pixel location to the centerline of the cylinders. Morphological
parameters of single cells, such as orientation, were analyzed using
an automated algorithm in Wolfram Mathematica 11.1 (Oxfordshire, UK).[54] Cells located at the edges of the protein pattern
or curved substrate or cells touching neighboring cells were excluded.
Statistical Analysis
To test for significant differences
in the orientation data, the Kruskal–Wallis test with Dunn’s
post hoc analysis (Holm’s adjustment method) was performed
using R (version 3.4.3). Differences were considered significant for p-values < 0.05.
Results and Discussion
Surface
Passivation of PDMS Substrates
To obtain contact-guidance
cues for cells on PDMS substrates, protein adsorption and cell adhesion
outside of the patterned areas should be minimized and ECM patterns
must provide a suitable substrate for the cells to adhere. Therefore,
several passivation methods based on Pluronics (Pluronic F-127) and
PEG-based agents (APTES + mPEG-SVA, PLL + mPEG-SVA) were tested on
flat PDMS substrates. Three different patterns—lines (Figure A), a homogeneous
rectangle, and circles/squares (Figure S2)—were subsequently used to visually assess the pattern on
each passivated substrate using rhodamine-labeled FN (50 μg/mL,
5 min) and with identical fluorescence imaging settings. The approaches
that yielded substrates with homogeneous pattern intensity, well-defined
edges, and no unspecific protein attachment were considered successful.
Figure 2
Digital
pattern design (A) and patterning outcomes of PDMS passivated
with (B) PLL + mPEG-SVA, (C) liquid-phase APTES + mPEG-SVA, (D) gas-phase
APTES + mPEG-SVA, (E) vacuum APTES + mPEG-SVA, and (F) Pluronic F-127.
After patterning, rhodamine-labeled FN is incubated (50 μg/mL,
5 min) and visualized using fluorescence microscopy. Scale bar: 50
μm.
Digital
pattern design (A) and patterning outcomes of PDMS passivated
with (B) PLL + mPEG-SVA, (C) liquid-phase APTES + mPEG-SVA, (D) gas-phase
APTES + mPEG-SVA, (E) vacuum APTES + mPEG-SVA, and (F) Pluronic F-127.
After patterning, rhodamine-labeled FN is incubated (50 μg/mL,
5 min) and visualized using fluorescence microscopy. Scale bar: 50
μm.The surfaces treated with gas-phase
APTES and vacuum-phase APTES
in combination with mPEG-SVA and Pluronic F-127 showed both a low
pattern intensity and unspecific protein adsorption outside of the
patterned area (Figures D–F and S2D–F). Passivation
using liquid-phase APTES + mPEG-SVA led to a reduction in unspecific
protein adsorption but resulted in inconsistent pattern homogeneity.
For instance, the line and circle/square patterns were considered
homogeneous (Figures C and S2C) but not the rectangular pattern
(Figure S2C). In addition, blurred pattern
edges were observed for all pattern designs (Figures C and S2). Substrate
passivation and subsequent patterning on PDMS treated with PLL + mPEG-SVA
resulted in patterns with consistent intensity and well-defined edges,
without the presence of unspecific protein adsorption (Figures B and S2). This suggests that the oxygen plasma treatment, which
was only applied on the surface incubated with PLL + mPEG-SVA, enabled
stabilization of the PLL coating on the PDMS surface.[55] Thus, the coupling with mPEG-SVA can be expected to be
more efficient, resulting in less unspecific protein adsorption.XPS measurements show that in the passivated areas on PDMS, the
carbon signals were higher compared to non-passivated areas, while
the oxygen and silicon signals decreased (Figure S3), indicating the presence of PEG chains on the passivated
samples. Furthermore, a nitrogen signal emerged in the spectra of
the passivated samples at 400 eV, which is contributed to the N-hydroxysuccinimide group of mPEG-SVA. After photopatterning
of the passivated areas, a decrease in carbon content was observed,
while the oxygen and silicon content increased. This confirms the
successful removal of the passivation layer on PDMS. After incubation
with FN, the carbon signals increased and the oxygen and silicon signals
decreased again in the XPS spectra of the passivated patterned samples
(Figure S3 and Table S1).
Application
of Protein Patterns in 2.5D and the Response of
Human Bone Marrow Stromal Cells
Our previous work has shown
that when human bone-marrow stromal cells (hBMSCs) were seeded on
convex structures covered by collagen networks, the directionality
of cell migration was tuned by directionalities of both the mesoscale
structures and the nanoscale collagen fibers.[37] This demonstrates that hBMSCs can sense curvature- and contact-guidance
cues and reorient their cell bodies according to these cues. Here,
this mechanosensitivity of hBMSCs was used to explore the proposed
2.5D patterning approach.First, we show that microscale contact-guidance
cues alone could induce hBMSC alignment by patterning linear FN patterns
(lines, a 10 μm width and a 10 μm gap size) on flat substrates
(glass slides) using conventional microcontact printing (50 μg/mL,
5 min) (Figure A,B).
The cell bodies and their F-actin fibers aligned in the direction
of the protein lines, showing a clear contact-guidance response (Figure B). To see whether
the quality of protein patterns on microcontact printed glass is comparable
to that on PDMS substrates, we patterned both flat PDMS and glass
slides using either LIMAP or microcontact printing. The LIMAP method
showed better consistency in fluorescence intensity across multiple
substrates compared to microcontact printing (Figure A). The LIMAP method was used for the patterning
of linear FN lines in the circumferential direction on convex cylindrical
PDMS substrates. By using rhodamine-labeled FN (50 μg/mL, 5
min), we showed that the line pattern covered the 2.5D features completely
(Figure S4). We observed that hBMSCs attached
to and formed adhesion points on the FN lines on the patterned convex
cylinders (Figure C). Moreover, unlike the orientation behavior observed on flat substrates
that were patterned with the conventional microcontact printing method,
hBMSCs on curvatures of κ = 1/500 μm–1 and κ = 1/375 μm–1 did not align in
the direction of the contact-guidance cues (Figure S4). Instead, cells were primarily oriented along the longitudinal
axis of the cylindrical substrate.
Figure 3
(A) Intensity profiles of four lines (10
μm width, 10 μm
gap size) of rhodamine-labeled FN (50 μg/mL, 5 min) using microcontact
printing and the LIMAP approach on PDMS and glass substrates. (B)
hBMSCs on microcontact-printed rhodamine-labeled FN lines (a 10 μm
width, a 10 μm gap size) on glass surfaces. The merged image
shows the F-actin cytoskeleton (green), nuclei (blue), and FN (red).
hBMSCs show a contact-guidance-dominated response by aligning in the
direction of the patterned lines. Scale bar: 50 μm. (C) hBMSCs
on rhodamine-labeled FN lines (a 10 μm width, a 10 μm
gap size) patterned on a convex cylindrical structure with κ
= 1/500 μm–1. The merged image shows the F-actin
cytoskeleton (green), nuclei (blue), and FN (red). Scale bar: 50 μm.
(A) Intensity profiles of four lines (10
μm width, 10 μm
gap size) of rhodamine-labeled FN (50 μg/mL, 5 min) using microcontact
printing and the LIMAP approach on PDMS and glass substrates. (B)
hBMSCs on microcontact-printed rhodamine-labeled FN lines (a 10 μm
width, a 10 μm gap size) on glass surfaces. The merged image
shows the F-actin cytoskeleton (green), nuclei (blue), and FN (red).
hBMSCs show a contact-guidance-dominated response by aligning in the
direction of the patterned lines. Scale bar: 50 μm. (C) hBMSCs
on rhodamine-labeled FN lines (a 10 μm width, a 10 μm
gap size) patterned on a convex cylindrical structure with κ
= 1/500 μm–1. The merged image shows the F-actin
cytoskeleton (green), nuclei (blue), and FN (red). Scale bar: 50 μm.We note that this result of hBMSC orientation is
in line with our
earlier observation of cell migration directionality on curvatures
with nanoscale contact-guidance cues (fibrillar collagen).[37] Specifically, for curvatures in the range of
1/125 ≥ κ ≥ 1/250 μm–1, cells aligned in the longitudinal direction of the cylinders instead
of in the direction of the microscale contact printed lines (as shown
here) and nanoscale cues from aligned collagen fibrils in the study
by Werner et al.(37)
Distinct
Responses of hmFBs on Patterned Convex and Concave
Substrates
We next sought to apply the principle to study
the orientation response of hmFBs to a combination of curvature- and
contact-guidance cues. Our earlier experiments with adherent cells
on curved substrates showed that the cells clearly formed adhesions
and attached to the patterned FN lines (Figure C). However, we also qualitatively observed
that the contact-guidance response of hBMSCs on LIMAP-patterned flat
parts of the cell-culture chip was weaker than expected. In addition,
we noticed viable cells adhering outside the patterned areas, suggesting
that there may still be unspecific adsorption of FN on the unpatterned
areas that was not significant enough to be detected using fluorescence
microscopy. We also note that each cell type has individual properties
(such as size, morphology, and contractility)[56] that may require prior optimization of the protein adsorption protocol
in order to evoke a representative contact-guidance response by the
LIMAP approach. For these reasons, we first performed optimization
of the protein adsorption step with hmFBs.In the case of hmFBs,
a clear contact-guidance response is expected on line patterns (10
μm width and 10 μm gap size) as shown before by Buskermolen et al.(23) In order to optimize
the FN patterning protocol for hmFBs, the incubation steps of FN on
flat PDMS surfaces were varied for 5 min, 2 × 5 min, or 30 min
in concentrations of 10 and 50 μg/mL. hmFBs on PDMS surfaces
incubated with 50 μg/mL FN, as used earlier for hBMSCs, were
observed to lack the alignment response typically seen for these cells
(Figure S5A,C,E). These results suggest
that hmFBs were able to adhere to the passivated layer or possibly
unwanted adsorbed FN in between the line pattern. In contrast, for
substrates incubated with 10 μg/mL FN, the cells aligned in
the direction of the protein lines as expected (Figure S5B,D,F). Furthermore, for all surfaces incubated with
10 μg/mL FN, hmFBs were viable regardless of the duration of
FN incubation, implying that 5 min of protein incubation is sufficient
on PDMS surfaces. Based on these findings, we proceeded with the study
of hmFBs on patterned 2.5D substrates using an FN incubation protocol
consisting of 5 min incubation with a concentration of 10 μg/mL.
Since hmFBs can be found throughout the thickness of the vessel wall,
thereby experiencing both convex and concave substrates, we also developed
patterned concave substrates alongside the convex substrates and examined
hmFB adhesion on these structures.We found that hmFBs predominantly
align in the direction of the
contact-guidance pattern on all concave curvatures (i.e., regardless
of the magnitude of the curvature), similar to on flat PDMS substrates,
as indicated by the cell bodies in Figure A (flat substrate), Figure 4B (curved substrates), and the red and black dots in Figure C. A closer inspection
shows that the cells form long protrusions along the circumferentially
oriented protein patterns, consistent with a contact-guided response
on these concave structures. In contrast, on convex structures, a
transition from a contact-guidance-dominated response (at a 90°
cell orientation) on lower curvatures (κ = 1/2500 μm–1) to a curvature-guidance-dominated response (at a
0° cell orientation) on higher curvatures (κ > 1/2500
μm–1) was observed. A possible explanation
for this behavior
is given by Biton and Safran as the transition in orientation of cells
on curved substrates can be caused by the competition of forces between
the bending stiffness of stress fibers and shear stress resulting
from cell adhesions and active contractility.[57]
Figure 4
(A)
hmFB on a flat, patterned PDMS substrate with FN lines (red,
10 μm lines and a 10 μm gap size) stained for the actin
cytoskeleton (green) and nucleus (blue). Scale bar: 50 μm. (B)
Example outlines of single hmFBs on patterned curvatures used for
quantification of the orientation response. The direction of the contact-guidance
cues and curvature is indicated with red bars. Scale bar: 50 μm.
(C) Orientation response of hmFBs on both flat and structured PDMS
(concave and convex cylinders with curvatures ranging from κ
= 1/2500 to 1/125 μm–1, with the degree of
curvature schematically indicated on top, n = 11–42
cells). Individual cells are represented by dots and the median by
a line. For concave features (red), a similar orientation response
on the complete range of curvatures is observed compared to hmFBs
on flat substrates (black). In the case of convex features (blue),
a transition in the orientation behavior can be noted with increasing
curvature. hmFBs tend to align in the direction of the contact-guidance
pattern and curvature (90°) if κ = 1/2500 μm–1, whereas the curvature-guidance cue is dominant for
curvatures of κ > 1/2500 μm–1 (0°).
Asterisks indicate statistical differences compared to the orientation
on flat substrates (*p < 0.05).
(A)
hmFB on a flat, patterned PDMS substrate with FN lines (red,
10 μm lines and a 10 μm gap size) stained for the actin
cytoskeleton (green) and nucleus (blue). Scale bar: 50 μm. (B)
Example outlines of single hmFBs on patterned curvatures used for
quantification of the orientation response. The direction of the contact-guidance
cues and curvature is indicated with red bars. Scale bar: 50 μm.
(C) Orientation response of hmFBs on both flat and structured PDMS
(concave and convex cylinders with curvatures ranging from κ
= 1/2500 to 1/125 μm–1, with the degree of
curvature schematically indicated on top, n = 11–42
cells). Individual cells are represented by dots and the median by
a line. For concave features (red), a similar orientation response
on the complete range of curvatures is observed compared to hmFBs
on flat substrates (black). In the case of convex features (blue),
a transition in the orientation behavior can be noted with increasing
curvature. hmFBs tend to align in the direction of the contact-guidance
pattern and curvature (90°) if κ = 1/2500 μm–1, whereas the curvature-guidance cue is dominant for
curvatures of κ > 1/2500 μm–1 (0°).
Asterisks indicate statistical differences compared to the orientation
on flat substrates (*p < 0.05).
Endothelial Cells Show a Similar Orientation Response as hmFBs
on Concave Substrates
Interestingly, hmFBs only show a transition
in orientation behavior on convex, patterned substrates. A possible
explanation for this behavior is that the cells lift the cell body
upward to minimize the adhesion points and avoid a bent morphology
on concave substrates.[36,46] On convex cylindrical substrates,
however, the only way cells can circumvent a bent morphology is by
means of reorienting in the longitudinal direction. This would imply
that hmFBs are able to sense not only the degree of curvature but
also its sign (concave vs convex). To further explore this implication,
we also subjected endothelial cells to the combination of curvature-
and contact-guidance cues on convex and concave cylinders. It has
previously been shown that HUVECs have the ability to sense substrate
curvature, but it is unknown how endothelial cells respond to the
combination of contact-guidance and curvature-guidance cues.[27,58] The cytoskeletal organization of HUVECs is distinct from that of
hmFBs, typified by peripheral stress fibers and less pronounced ventral
stress fibers (Figures A and 5A), thereby potentially shifting the
mechanical balance between stress fiber bending and contractility.[57] Unexpectedly, we observed that on convex, patterned
substrates, HUVECs consistently exhibited aberrant morphologies and
did not adhere and grow well. The reason for this behavior is as yet
unclear and should be explored further. Here, we focused on the orientation
behavior of HUVECs on the concave patterned substrates in order to
further verify the lack of transition in the cell orientation behavior
on concave substrates and whether this is a cell-type specific response. Figure B,C shows the orientation response of the HUVECs on concave
cylinders patterned with 20 μm lines and a 20 μm gap size.
It can be observed that HUVECs predominantly align in the direction
of the contact-guidance cues (90°) across the complete range
of curvatures, similar to the orientation response on flat, patterned
substrates (Figure A). Statistical differences indicate a slightly less pronounced contact-guidance
response of cells on patterned concave cylinders compared to flat
substrates (except for κ = 1/175 μm–1). Despite differences in the cytoskeletal organization, the orientation
response of HUVECs on concave, patterned substrates was comparable
to the orientation response of hmFBs. We note that HUVECs are typically
smaller than hmFBs and this difference in cell size may influence
the ability to sense the substrate curvatures presented to cells in
this study (κ ≤ 1/125 μm–1).
It will therefore be interesting that future experiments examine HUVEC
response on substrates containing even larger curvatures to unravel
this intriguing observation.
Figure 5
(A) HUVECs on flat, patterned PDMS substrates
with FN lines (red,
20 μm lines and a 20 μm gap size) stained for the actin
cytoskeleton (green) and nuclei (blue). Scale bar: 50 μm. (B)
Example outlines of single HUVECs on patterned concave curvatures
used for quantification of the orientation response. The direction
of the contact-guidance cues and curvature is indicated with red bars.
Scale bar: 50 μm. (C) Orientation response of HUVECs on both
flat and concave PDMS (curvatures ranging from κ = 1/2500 to
1/125 μm–1, with the degree of curvature schematically
indicated on top, n = 29–91 cells). Individual
cells are represented by dots and the median by a line. Overall, a
similar orientation response on the complete range of curvatures (red)
is observed compared to HUVECs on flat substrates (black). Asterisks
indicate statistical differences compared to the orientation on flat
substrates (*p < 0.05).
(A) HUVECs on flat, patterned PDMS substrates
with FN lines (red,
20 μm lines and a 20 μm gap size) stained for the actin
cytoskeleton (green) and nuclei (blue). Scale bar: 50 μm. (B)
Example outlines of single HUVECs on patterned concave curvatures
used for quantification of the orientation response. The direction
of the contact-guidance cues and curvature is indicated with red bars.
Scale bar: 50 μm. (C) Orientation response of HUVECs on both
flat and concave PDMS (curvatures ranging from κ = 1/2500 to
1/125 μm–1, with the degree of curvature schematically
indicated on top, n = 29–91 cells). Individual
cells are represented by dots and the median by a line. Overall, a
similar orientation response on the complete range of curvatures (red)
is observed compared to HUVECs on flat substrates (black). Asterisks
indicate statistical differences compared to the orientation on flat
substrates (*p < 0.05).
Practical Considerations and Limitations
The developed
2.5D protein patterning approach is a useful tool for uncovering cell
behavior in multi-cue environments. Despite its versatility, we emphasize
that fine-tuning of several experimental parameters prior to use in
combination with a new material or cell type of interest is necessary.
The most important is optimization of substrate passivation, as shown
in Figure , which
may be required when switching between different types of cell-culture
chip materials (i.e., films and polymers). To show an example that
the presented approach is compatible with materials other than PDMS,
we created PS imprints of the cell culture chip, followed by passivation,
photopatterning, and protein incubation (Figure S6). Here, we used collagen type I to also show the versatility
in terms of protein coating. When using different materials, one should
consider the effect of material properties, such as stiffness, as
these are known to influence the behavior of cells.[59,60] In this study, the stiffness of the patterned materials (glass,
PDMS) is not expected to differentially influence cellular behavior
as PDMS has an estimated stiffness exceeding 1 MPa.[61] hBMSCs, hmFBs, and HUVECs are all considered insensitive
for stiffness changes in this order of magnitude. Next, cell-type-specific
adaptations to the protocol may be necessary in order to establish
representative cell behavior, for example, due to trace amounts of
unspecific FN adsorption to unpatterned areas.
Conclusions
In this study, we report a novel approach to create micropatterned
2.5D substrates that allow for the investigation of multi-cue environments
on cellular behavior. Until now, studies reporting cellular responses
to contact guidance or curvature guidance investigate these aspects
in isolation, thus neglecting the complexity of the cellular environment.
Here, we present an approach that resolves a long-standing technical
challenge in the field and offers a possibility for a systematic,
high-throughput, and highly controlled study of cell behavior in physiologically
relevant 3D geometries, while maintaining the practical convenience
and benefits of 2D systems. Moreover, the developed method is highly
versatile and can be applied to any cellular system of interest with
diverse substrate materials, with simple tuning of a few experimental
parameters, such as protein concentration, incubation time, UV-dose,
and cell seeding density.The proof-of-principle experiments
highlight the utility of our
approach to construct in vitro biomimetic environments
to study cellular response to multiple environmental cues. When subjected
to both ECM protein patterns and convex curvatures, hmFBs aligned
along the longitudinal axis of the cylinders when κ > 1/2500
μm–1. On patterned concave substrates, however,
hmFBs and HUVECs predominantly aligned in the direction of the contact-guidance
pattern on all studied concave curvatures. Since the patterning approach
we introduce here can be used with various ECM proteins, it offers
an interesting possibility to further study the effect of contact
guidance as induced by other ECM proteins for cells, such as collagen
type I, V, VI, and XII and fibrillin or a combination of these, on
curved substrates in the future.[62,63]Eventually,
we envision to use the proposed methodology to contribute
to broader knowledge on the effect of geometrical cues on the cellular
orientation response. The flexibility of the developed approach enables
variation of the pattern design, for example, the direction of the
lines, line width, interline spacing, or the use of completely different
pattern designs. Studying cell responses on a variation of substrates
and patterns leads to a better fundamental understanding of the cell’s
geometry sensing machinery, which is critical for various downstream
cellular functions, such as differentiation, directed migration, and
matrix production.[11,64] More generally, the developed
approach enables systematic exploration of different types of cellular
responses to biomimetic multi-cue environments and can be further
expanded to increase the level of complexity toward 3D physiological
environments (i.e., different materials, substrate topographies, patterns,
and cell types). The gained insights could ultimately be translated
to smart designs of microfluidic organ-on-a-chip platforms and 3D
tissue-engineered scaffolds.
Authors: Maike Werner; Sébastien B G Blanquer; Suvi P Haimi; Gabriela Korus; John W C Dunlop; Georg N Duda; Dirk W Grijpma; Ansgar Petersen Journal: Adv Sci (Weinh) Date: 2016-12-20 Impact factor: 16.806
Authors: William Y Wang; Alexander T Pearson; Matthew L Kutys; Colin K Choi; Michele A Wozniak; Brendon M Baker; Christopher S Chen Journal: APL Bioeng Date: 2018-12-26