Ryan M Schweller1, Jennifer L West1. 1. Department of Biomedical Engineering, Duke University , Room 136 Hudson Hall, Durham, North Carolina 27708, United States.
Abstract
The effects of mechanical cues on cell behaviors in 3D remain difficult to characterize as the ability to tune hydrogel mechanics often requires changes in the polymer density, potentially altering the material's biochemical and physical characteristics. Additionally, with most PEG diacrylate (PEGDA) hydrogels, forming materials with compressive moduli less than ∼10 kPa has been virtually impossible. Here, we present a new method of controlling the mechanical properties of PEGDA hydrogels independent of polymer chain density through the incorporation of additional vinyl group moieties that interfere with the cross-linking of the network. This modification can tune hydrogel mechanics in a concentration dependent manner from <1 to 17 kPa, a more physiologically relevant range than previously possible with PEG-based hydrogels, without altering the hydrogel's degradation and permeability. Across this range of mechanical properties, endothelial cells (ECs) encapsulated within MMP-2/MMP-9 degradable hydrogels with RGDS adhesive peptides revealed increased cell spreading as hydrogel stiffness decreased in contrast to behavior typically observed for cells on 2D surfaces. EC-pericyte cocultures exhibited vessel-like networks within 3 days in highly compliant hydrogels as compared to a week in stiffer hydrogels. These vessel networks persisted for at least 4 weeks and deposited laminin and collagen IV perivascularly. These results indicate that EC morphogenesis can be regulated using mechanical cues in 3D. Furthermore, controlling hydrogel compliance independent of density allows for the attainment of highly compliant mechanical regimes in materials that can act as customizable cell microenvironments.
The effects of mechanical cues on cell behaviors in 3D remain difficult to characterize as the ability to tune hydrogel mechanics often requires changes in the polymer density, potentially altering the material's biochemical and physical characteristics. Additionally, with most PEG diacrylate (PEGDA) hydrogels, forming materials with compressive moduli less than ∼10 kPa has been virtually impossible. Here, we present a new method of controlling the mechanical properties of PEGDA hydrogels independent of polymer chain density through the incorporation of additional vinyl group moieties that interfere with the cross-linking of the network. This modification can tune hydrogel mechanics in a concentration dependent manner from <1 to 17 kPa, a more physiologically relevant range than previously possible with PEG-based hydrogels, without altering the hydrogel's degradation and permeability. Across this range of mechanical properties, endothelial cells (ECs) encapsulated within MMP-2/MMP-9 degradable hydrogels with RGDS adhesive peptides revealed increased cell spreading as hydrogel stiffness decreased in contrast to behavior typically observed for cells on 2D surfaces. EC-pericyte cocultures exhibited vessel-like networks within 3 days in highly compliant hydrogels as compared to a week in stiffer hydrogels. These vessel networks persisted for at least 4 weeks and deposited laminin and collagen IV perivascularly. These results indicate that EC morphogenesis can be regulated using mechanical cues in 3D. Furthermore, controlling hydrogel compliance independent of density allows for the attainment of highly compliant mechanical regimes in materials that can act as customizable cell microenvironments.
Mechanical cues are
critical in influencing a variety of cellular
behaviors, such as stem cell differentiation,[1,2] satellite
cell proliferation,[3] cardiomyocyte maturation,[4] and tumor cell migration.[5] However, many of these mechanically regulated effects have only
been studied in two-dimensional (2D) culture, often using materials
that preclude three-dimensional (3D) cell studies such as polyacrylamide
or poly(dimethylsiloxane) (PDMS). Because few materials both support
3D cell culture and have tunable mechanical properties in physiologically
relevant regimes, relatively little is known about the effects of
mechanical cues in 3D culture conditions. To address this, a variety
of natural and synthetic materials have been developed to study cellular
behaviors in 3D, yet the ability to independently assess mechanical
effects has proven difficult. For example, naturally derived materials
often encode innate biochemical cues, making it difficult to decouple
the mechanical and biochemical effects. In addition, many hydrogel-forming
materials require changes to the molecular weight of the polymer or
polymer concentration/density to control mechanical properties. These
changes, however, can affect the density of biochemical cues for natural
materials as well as other physical properties of the hydrogel such
as the cross-link density, degradation kinetics, permeability, and
accumulation of biomolecules within the hydrogel.[6−9]Poly(ethylene glycol) diacrylate
(PEGDA) has been used extensively
as a 3D hydrogel scaffold to study cellular behaviors as it is biologically
inert, rapidly photopolymerizable, and permits cell encapsulation.
By photopolymerizing PEGDA hydrogels in the presence of acrylate functionalized
proteins and peptides, the hydrogel provides custom tailored biochemistry
to probe the effects of various biochemical cues on stem cell differentiation,[10] modulating inflammatory responses,[11] and epithelial morphogenesis.[12] Similarly, the effects of mechanical cues on extracellular
matrix (ECM) production[13] as well as cell
adhesion and proliferation[14] have been
assessed using PEGDA hydrogel systems. However, like many synthetic
scaffolds, PEGDA hydrogels generally require changes to their polymer
density or polymer chain length to tune their mechanical properties,[13,15,16] so it still suffers from many
of the aforementioned drawbacks. To circumvent these issues, methods
have been developed to control hydrogel mechanics through polymer
valency (i.e., 2-arm or 4-arm macromers)[6] or photoinitiation conditions,[14,17,18] but these approaches often address only changes to
degradative or diffusive properties and lead to other problems such
as noncontinuous tuning of hydrogel mechanics or significant experiment-to-experiment
variation.Nonetheless, PEGDA has been an important material
platform for
the study of cell, and particularly endothelial cell (EC), behavior
in both 2D and 3D settings due to its customizability and physiologically
relevant mechanical properties. For 3D EC studies, PEGDA hydrogels
can be rendered enzymatically degradable through the incorporation
of peptide sequences within the polymer backbone that are degraded
by cellular proteases such as the matrix metalloproteinases (MMPs).
MMPs are actively secreted by ECs to degrade the basement membrane
during angiogenesis, and thus these PEGDA-based materials are capable
of creating biomimetic microenvironments that permit EC encapsulation
and migration.[15,19,20] While much of this existing work has examined the role of the ECM
and the biochemical environment during vasculogenesis and angiogenesis,
it has also revealed the importance of the local mechanical properties
in regulating multiple aspects of EC behavior, including network assembly
kinetics, tubule diameter, tubule length, and adhesion site morphologies.[15,21−23] Because vascularized tissues with different local
mechanical properties can exhibit vastly different vascular architectures,
it is unsurprising that material compliance can have such dramatic
effects on vessel phenotype. However, to better understand these effects
of mechanical properties on EC morphology and behavior, new materials
are required which are capable of spanning these physiologically relevant
mechanical regimes and doing so independently of the diffusive and
degradative properties of the hydrogel environment.This study
aims to develop new control over hydrogel mechanics
by altering the formation of the cross-linked network independent
of polymer density. To enable such control, noncanonical amino acids
bearing vinyl moieties via allyloxycarbonyl (alloc) groups were incorporated
adjacent to MMP-sensitive peptide sequences to act as weak competitive
cross-linking sites with very low free radical propagation during
photopolymerization. The mechanical effects of this cross-linking
site were then assessed using both compressive and rheological testing.
Because many changes to the hydrogel mesh structure and mechanical
properties can result in modifications to other physical parameters
of the hydrogel, the polymer degradation and diffusivity were examined.
To test the ability of these materials to control EC morphological
and vasculogenic behaviors, EC:pericyte cocultures were encapsulated
in these hydrogels and allowed to assemble into vessel-like networks,
permitting the direct investigation of the effects of polymer mechanics
on EC network formation kinetics and overall network architecture.
Results
PEG Macromer
Design and Synthesis
The GGGGGPQGIWGQGGGGK
(PQ) peptide sequence was derived from a proteolytically degradable
peptide sequence that is specifically recognized and cleaved by many
members of the MMP family of proteinases.[24,25] A second peptide sequence was designed incorporating an alloc protecting
group through a Lys(alloc) amino acid adjacent to the degradable sequence,
designated PQ(alloc). The alloc group (Figure 1a, red oval) bears a vinyl group that can weakly participate in hydrogel
cross-linking, but with a low tendency for free radical propagation.[26,27] Because the alloc group is not acid or base labile, it can be easily
incorporated into the peptide sequences using normal fluorenylmethyloxycarbonyl
(Fmoc) synthesis methods. These peptide sequences were synthesized
and PEGylated at the N-terminus and a C-terminal lysine residue to
create the acrylate-PEG-peptide-PEG-acrylate macromers (Figure 1a). The Lys(alloc) modification should permit the
formation of both acrylate-alloc (low propagation) as well as acrylate-acrylate
(high propagation) terminal junctions to alter the mesh structure
of the overall hydrogel (Figure 1b).
Figure 1
Lys(alloc)
amino acids alter hydrogel cross-linking. (a) Both peptide
sequences contained the MMPsensitive PQ sequence (green box and font).
PQ(alloc) contained a Lys(alloc) (red circle and font) spaced from
the PQ sequence and C-terminus by glycine residues. Terminal amine
groups could be reacted with an acrylate-PEG-SVA to generate the PEG-peptide-PEG
diacrylate macromer. (b) PEG−PQ macromers can undergo photopolymerization
to form acrylate-based cross-links which impart mechanical stiffness
to the hydrogel. However, PEG–PQ(alloc) macromers offer an
extra cross-linking site within the peptide sequence, allowing the
macromers to terminate at acrylate groups or alloc groups to control
the hydrogel mechanics.
Lys(alloc)
amino acids alter hydrogel cross-linking. (a) Both peptide
sequences contained the MMPsensitive PQ sequence (green box and font).
PQ(alloc) contained a Lys(alloc) (red circle and font) spaced from
the PQ sequence and C-terminus by glycine residues. Terminal amine
groups could be reacted with an acrylate-PEG-SVA to generate the PEG-peptide-PEG
diacrylate macromer. (b) PEG−PQ macromers can undergo photopolymerization
to form acrylate-based cross-links which impart mechanical stiffness
to the hydrogel. However, PEG–PQ(alloc) macromers offer an
extra cross-linking site within the peptide sequence, allowing the
macromers to terminate at acrylate groups or alloc groups to control
the hydrogel mechanics.
Mechanical Testing
To investigate the effects of the
Lys(alloc) modification on hydrogel mechanical properties, PEG–PQ
and PEG–PQ(alloc) hydrogels were analyzed via compression testing.
Although 5% PEG–PQ yielded a compressive modulus of 15.63 ±
3.72 kPa, consistent with previous work,[12] the PEG–PQ(alloc) hydrogels exhibit a >20 fold lower compressive
modulus of 0.66 ± 0.52 kPa. Similar trends were observed at 7.5%
and 10% macromer densities where PEG–PQ hydrogels displayed
significantly higher compressive moduli of 28.99 ± 8.53 and 41.00
± 3.69 kPa compared to those of PEG–PQ(alloc), 2.38 ±
0.84 and 7.05 ± 4.72 kPa, respectively (Figure 2a). As hydrogels can exhibit viscoelastic behaviors, the storage
and loss moduli were measured to assess their elastic and viscous
components. For PEG–PQ, the storage (G′)
and loss (G″) moduli were measured as 5.31
± 0.65 kPa and 6.1 ± 5.0 Pa, respectively. PEG–PQ(alloc),
however, exhibited a significant drop in storage modulus at 1.64 ±
0.22 kPa compared to PEG–PQ, but retained a nearly identical
loss modulus of 5.8 ± 0.6 Pa (Figure 2b,c).
Figure 2
Incorporation of Lys(alloc) amino acids influences the resulting
hydrogel mechanical properties. (a) Different polymer densities of
PEG–PQ and PEG–PQ(alloc) hydrogels were mechanically
tested to determine their compressive moduli. PEG–PQ(alloc)
hydrogels exhibited significantly lower (∼10 fold) compressive
moduli as compared to PEG–PQ. (b, c) In rheological measurements,
PEG–PQ(alloc) had a significantly lower storage modulus (G′) compared to PEG–PQ yet displayed a nearly
identical loss modulus (G″) to PEG–PQ.
(d) Holding the overall prepolymer density at 5% PEG, the two macromers
could be mixed at ratios of 100/0, 75/25, 50/50, 25/75, or 100/0 PEG–PQ/PEG–PQ(alloc)
to create a continuum of mechanics between the minimal and maximal
values, exhibiting an exponential relationship between the measured
compressive modulus and PEG–PQ(alloc) content. (* indicates
statistical significance, in all cases p < 0.001).
Incorporation of Lys(alloc) amino acids influences the resulting
hydrogel mechanical properties. (a) Different polymer densities of
PEG–PQ and PEG–PQ(alloc) hydrogels were mechanically
tested to determine their compressive moduli. PEG–PQ(alloc)
hydrogels exhibited significantly lower (∼10 fold) compressive
moduli as compared to PEG–PQ. (b, c) In rheological measurements,
PEG–PQ(alloc) had a significantly lower storage modulus (G′) compared to PEG–PQ yet displayed a nearly
identical loss modulus (G″) to PEG–PQ.
(d) Holding the overall prepolymer density at 5% PEG, the two macromers
could be mixed at ratios of 100/0, 75/25, 50/50, 25/75, or 100/0 PEG–PQ/PEG–PQ(alloc)
to create a continuum of mechanics between the minimal and maximal
values, exhibiting an exponential relationship between the measured
compressive modulus and PEG–PQ(alloc) content. (* indicates
statistical significance, in all cases p < 0.001).To assess the ability to continuously
control hydrogel mechanics
between the PEG–PQ and PEG–PQ(alloc) cases, the two
macromers were copolymerized at 5% total polymer density and ratios
of 100/0, 75/25, 50/50, 25/75, and 0/100 PEG–PQ/PEG–PQ(alloc).
In these experiments, increasing amounts of PEG–PQ(alloc) resulted
in decreases in compressive modulus (Figure 2d). The overall hydrogel mechanics scaled exponentially with the
concentration of alloc groups in the prepolymer solution.
Assessing Collagenase-Dependent
Degradation of PEG Hydrogels
Because amino acid substitutions
to the PQ sequence can potentially
lead to significantly different MMP cleavage kinetics,[25,28] the Lys(alloc) amino acid was spaced from the MMP-sensitive sequence
by multiple glycine residues. However, it was still necessary to verify
the proteolytic degradation kinetics of the PEG–PQ(alloc) hydrogels
as compared to PEG–PQ hydrogels. PEG–PQ(alloc) hydrogels
were incubated with collagenase and demonstrated collagenase-dependent
degradation similar to that of PEG–PQ. Both hydrogel formulations
were fully degraded in 24 h at an enzyme concentration of 10 μg/mL,
with roughly 80% of the degradation occurring in the first 4 h (Figure 3). Importantly, when collagenase was omitted, effectively
no degradation was observed, indicating that degradation via hydrolysis
or dissolution is not contributing to this response.
Figure 3
Collagenase-dependent
degradation of PEG–PQ and PEG–PQ(alloc)
hydrogels. The degradation of both PEG–PQ and PEG–PQ(alloc)
hydrogels was monitored over 4 h via UV absorbance. The addition of
the Lys(alloc) amino acid did not hinder the degradation of PEG–PQ(alloc)
hydrogels as both hydrogels were ∼80% degraded in 4 h and exhibited
similar rates of degradation. No degradation was observed when collagenase
was omitted.
Collagenase-dependent
degradation of PEG–PQ and PEG–PQ(alloc)
hydrogels. The degradation of both PEG–PQ and PEG–PQ(alloc)
hydrogels was monitored over 4 h via UV absorbance. The addition of
the Lys(alloc) amino acid did not hinder the degradation of PEG–PQ(alloc)
hydrogels as both hydrogels were ∼80% degraded in 4 h and exhibited
similar rates of degradation. No degradation was observed when collagenase
was omitted.
Determining Diffusive Behaviors
of PEG Hydrogels
Because
the prepolymer densities were identical yet yielded significantly
different compressive properties, the effects of the Lys(alloc) amino
acid on the permeability of the hydrogels were examined. Hydrogels
were loaded with proteins of varying sizes (insulin, trypsin inhibitor,
carbonic anhydrase, or ovalbumin) to create a range of molecular weights
that spanned the vast majority of soluble factors in media (Figure 4a). All proteins in both hydrogels displayed similar
release profiles and fits, indicating very similar diffusive behaviors
for PEG–PQ and PEG–PQ(alloc) hydrogels (). Statistical comparisons of these
diffusivity values indicated no significant differences between hydrogels
composed of PEG–PQ or PEG–PQ(alloc) (Figure 4b).
Figure 4
Protein release via diffusion from PEG–PQ and PEG–PQ(alloc)
hydrogels. (a) For each protein, the hydrodynamic radius and diffusivity
in water (DW) were calculated from their molecular weight.
(b) The release profiles for all proteins were fitted to estimate
their diffusivity for PEG–PQ and PEG–PQ(alloc) hydrogels
(DH). No significant difference was observed for any of
the proteins measured (p > 0.05).
Protein release via diffusion from PEG–PQ and PEG–PQ(alloc)
hydrogels. (a) For each protein, the hydrodynamic radius and diffusivity
in water (DW) were calculated from their molecular weight.
(b) The release profiles for all proteins were fitted to estimate
their diffusivity for PEG–PQ and PEG–PQ(alloc) hydrogels
(DH). No significant difference was observed for any of
the proteins measured (p > 0.05).
Mechanically Regulated EC Spreading
Although the different
hydrogel formulations were capable of exhibiting diverse mechanical
properties, it was necessary to evaluate the ability of cells to sense
and respond to these changes. Humanumbilical vein endothelial cells
(HUVECs) were encapsulated at low cell density to minimize cell–cell
interactions and any associated signaling and allowed to spread over
24 h. Individual cells were scored according to their circularity,
where high circularity corresponds to minimal or no cell spreading
and low circularity indicates highly spread cells. Both 25/75 (2.10
± 1.02 kPa) and 0/100 (0.90 ± 0.19 kPa) PEG–PQ/PEG–PQ(alloc)
exhibited significantly more spread HUVEC morphologies than the 100/0
(17.50 ± 6.28 kPa), 75/25 (9.43 ± 1.17 kPa), and 50/50 (4.77
± 1.48 kPa) PEG–PQ/PEG–PQ(alloc) ratios with the
100% PEG–PQ(alloc) exhibiting the lowest average circularity
values (Figure 5a). Histograms of cells in
each of the treatment groups depict a depletion of the highly rounded
cell population (circularity ∼0.8) as the hydrogels become
increasingly compliant (Figure 5b–f).
The circularity trends seen in Figure 5 can
be visualized qualitatively by the nuclear localization and the actin
cytoskeletal arrangement of HUVECs in each gel formulation (Figure 5b–f, insets; and ). To ensure the observed cell behaviors were not due to
differential incorporation of RGDS, we prepared hydrogels without
cells and incorporated fluorescently tagged RGDS. After complete degradation
of the gels, the fluorescence was measured indicating similar incorporation
of PEG-RGDS in both PEG–PQ and PEG–PQ(alloc) hydrogels
().
Figure 5
Effects of hydrogel compliance
on EC spreading. (a) Average circularity
values for cells encapsulated in 5% PEG hydrogels with ratios of 100/0,
75/25, 50/50, 25/75, or 0/100 PEG–PQ/PEGPQ(alloc). Cell spreading,
as assessed by lower circularity, increased as the hydrogels became
more compliant. 25/75 and 0/100 PEG–PQ/PEG–PQ(alloc)
exhibited significantly lower circularities than the other formulations
and ECs in the 100% PEG–PQ(alloc) hydrogel were the most spread
(p < 0.005). (b-f) Histograms that summarize the
measured circularity for all the cells assessed in each hydrogel formulation.
While a population of highly rounded cells (circularity ∼0.8)
can be found in all hydrogels, populations of spread cells begin to
emerge as the compliance decreases. Nuclear (DAPI, blue) and actin
(green) staining of characteristic cells show more developed actin
networks with identifiable stress fibers in highly spread cells as
compared to diffuse bands surrounding the nucleus in rounded cells
(inset). Scale bar represents 30 μm.
Effects of hydrogel compliance
on EC spreading. (a) Average circularity
values for cells encapsulated in 5% PEG hydrogels with ratios of 100/0,
75/25, 50/50, 25/75, or 0/100 PEG–PQ/PEGPQ(alloc). Cell spreading,
as assessed by lower circularity, increased as the hydrogels became
more compliant. 25/75 and 0/100 PEG–PQ/PEG–PQ(alloc)
exhibited significantly lower circularities than the other formulations
and ECs in the 100% PEG–PQ(alloc) hydrogel were the most spread
(p < 0.005). (b-f) Histograms that summarize the
measured circularity for all the cells assessed in each hydrogel formulation.
While a population of highly rounded cells (circularity ∼0.8)
can be found in all hydrogels, populations of spread cells begin to
emerge as the compliance decreases. Nuclear (DAPI, blue) and actin
(green) staining of characteristic cells show more developed actin
networks with identifiable stress fibers in highly spread cells as
compared to diffuse bands surrounding the nucleus in rounded cells
(inset). Scale bar represents 30 μm.
Mechanical Effects on EC Network Formation
Previous
work has demonstrated the ability of EC:pericyte cocultures to undergo
tubulogenesis in 3D using RGDS-functionalized PEG–PQ hydrogels
in vitro.[15,29] This coculture model was used to analyze
the effects of hydrogel compliance on EC network formation. Using
platelet endothelial cell adhesion molecule (PECAM) and α-smooth
muscle actin (αSMA) staining to indicate HUVECs and human brain
pericyte cells (HBVPs), respectively, the cells and their resulting
vessel-like networks were visualized via fluorescence microscopy after
1, 3, or 6 days of culture. HUVECs in PEG–PQ hydrogels remained
rounded with minimal spreading or cell–cell connections after
1 day, whereas HUVECs in PEG–PQ(alloc) hydrogels were already
spread and contained extensive cell–cell connections (Figure 6a, top). After 3 days of coculture, HUVECs in PEG–PQ
began to form cell clusters, but exhibited very few tubule-like structures.
HUVECs in PEG–PQ(alloc) hydrogels, however, exhibited mature
tubule-like networks and began to show pericyte incorporation (Figure 6a, middle). Only after 6 days of culture did HUVECs
in PEG–PQ hydrogels form tubule-like networks that incorporated
pericytes. At the same time, HUVECs in PEG–PQ(alloc) hydrogels
retained their tubule-like structures through all 6 days of culture
(Figure 6a, bottom).
Figure 6
Visualization and analysis
of HUVEC:HBVP coculture in PEG–PQ
or PEG–PQ(alloc) hydrogels. (a) Gels were fixed and stained
for PECAM (green) and αSMA (red) then counterstained with DAPI
(blue) after 1, 3, or 6 days of culture. Within 24 h of coculture,
PEG–PQ(alloc) hydrogels had begun to form HUVEC networks as
can be seen by the PECAM staining. The PEG–PQ hydrogels, however,
exhibited no networks and minimal cell–cell contacts. After
3 days in coculture, the PEG–PQ hydrogels showed increasing
cell–cell contacts and short networks with some HBVP incorporation
(as seen by αSMA staining), whereas PEGPQ(alloc) hydrogels had
highly developed HUVEC networks with HBVP support. At the 6 day time
point, both PEG–PQ and PEG–PQ(alloc) hydrogels had well
developed HUVEC networks that had directly interacting HBVPs. Scale
bar represents 100 μm. (b) Total tubule length was measured
for z-projection for each time point in both hydrogels. At all time
points, PEG–PQ(alloc) exhibited significantly more tubule-like
networks. (c) The number of branch points was counted for each field-of-view
(image). Significantly more branch points were identified after 1
and 6 days of culture. (d) Comparisons of the total cell volume to
cell network volume indicated significantly more cellular integration
in PEG–PQ(alloc) hydrogels at all time points. (*indicates
statistical significance: * p < 0.05, ** p < 0.01, *** p < 0.001).
Visualization and analysis
of HUVEC:HBVP coculture in PEG–PQ
or PEG–PQ(alloc) hydrogels. (a) Gels were fixed and stained
for PECAM (green) and αSMA (red) then counterstained with DAPI
(blue) after 1, 3, or 6 days of culture. Within 24 h of coculture,
PEG–PQ(alloc) hydrogels had begun to form HUVEC networks as
can be seen by the PECAM staining. The PEG–PQ hydrogels, however,
exhibited no networks and minimal cell–cell contacts. After
3 days in coculture, the PEG–PQ hydrogels showed increasing
cell–cell contacts and short networks with some HBVP incorporation
(as seen by αSMA staining), whereas PEGPQ(alloc) hydrogels had
highly developed HUVEC networks with HBVP support. At the 6 day time
point, both PEG–PQ and PEG–PQ(alloc) hydrogels had well
developed HUVEC networks that had directly interacting HBVPs. Scale
bar represents 100 μm. (b) Total tubule length was measured
for z-projection for each time point in both hydrogels. At all time
points, PEG–PQ(alloc) exhibited significantly more tubule-like
networks. (c) The number of branch points was counted for each field-of-view
(image). Significantly more branch points were identified after 1
and 6 days of culture. (d) Comparisons of the total cell volume to
cell network volume indicated significantly more cellular integration
in PEG–PQ(alloc) hydrogels at all time points. (*indicates
statistical significance: * p < 0.05, ** p < 0.01, *** p < 0.001).These images were then used to quantify tubule
lengths, number
of branch points, and cell/vessel densities. The total length of tubules
in each image was measured, indicating a significantly higher total
tubule length per imaging volume (6.075 × 10–3 mm3) in the PEG–PQ(alloc) hydrogels with lengths
of 5.86 ± 1.22 mm (day 1), 6.02 ± 1.01 mm (day 3), and 7.84
± 1.67 mm (day 6) as compared to 1.78 ± 0.91 mm, 3.87 ±
1.59 mm, and 5.48 ± 1.16 mm for PEG–PQ hydrogels at 1,
3, and 6 days of culture, respectively (Figure 6b). Using these tubule networks, the number of tubule branch points
for each z-projection was counted with PEG–PQ hydrogels exhibiting
significantly less branching compared to PEG–PQ(alloc) hydrogels
at days 1 and 6 (Figure 6c). To evaluate the
extent of cell integration into network structures, the total cell
volume for each z-stack was calculated and compared
to the total network volumes identified in the z-projections. PEG–PQ
hydrogels exhibited significantly lower cell integration ratios at
all time points than PEG–PQ(alloc) hydrogels, suggesting that
the cells continue to spread throughout the culture period to form
new connections and nonintegrated cells are rapidly pruned (Figure 6d).Because the PEG–PQ(alloc) hydrogels
and their cell networks
were able to persist through 6 days of culture, the length of time
that the hydrogels and EC networks could persist in in vitro culture
conditions was investigated. Similarly, as ECs are known to deposit
ECM proteins during tubulogenesis to construct basement membrane,
the ability of HUVECs to deposit these ECM proteins in the highly
compliant PEG–PQ(alloc) environments was evaluated. To assess
this, we maintained cultures for 4 weeks and stained for laminin and
collagen IV, two primary constituents of the basal lamina, which should
surround vasculature.[30] Both collagen IV
and laminin deposition were observed in close proximity to and largely
colocalized with the PECAM signal. While some thinning of the vessel
networks was observed at later time points, we observed tubule structures
throughout the entire 4 weeks of culture (Figure 7).
Figure 7
Extended culture and ECM deposition of HUVEC:HBVP cocultures in
PEG–PQ(alloc) hydrogels. From left to right, PECAM fluorescence
merged with (a) collagen IV and (b) laminin can be seen after 1, 2,
and 4 weeks. These images indicate the localization of laminin and
collagen IV deposition at the periphery of the vessel-like networks
as well as the ability for these networks to persist out to 4 weeks
of in vitro culture. Scale bar represents 100 μm.
Extended culture and ECM deposition of HUVEC:HBVP cocultures in
PEG–PQ(alloc) hydrogels. From left to right, PECAM fluorescence
merged with (a) collagen IV and (b) laminin can be seen after 1, 2,
and 4 weeks. These images indicate the localization of laminin and
collagen IV deposition at the periphery of the vessel-like networks
as well as the ability for these networks to persist out to 4 weeks
of in vitro culture. Scale bar represents 100 μm.
Discussion
Although a multitude
of peptide modifications have been incorporated
into PEG-based hydrogels to control enzymatic cleavage kinetics,[24,28] exploit photouncaging chemistries,[31] or
act as functional sites for the introduction of new biochemical cues,[32] our findings are the first that employ peptide
modifications to alter the cross-linking behavior for mechanical control.
Here the use of Lys(alloc) amino acids in the peptide sequence reduces
the overall mechanics of the resulting photopolymerized PEG-peptide
hydrogels in a concentration dependent manner. The use of the alloc
protecting group within the polymer backbone effectively creates a
trivalent macromer capable of photopolymerization, and increases in
macromer valency generally translate to increases in hydrogel stiffness.[6] However, Matsumoto et al. and Iio et al. demonstrated
that alloc groups generally form short polymers or oligomers during
photopolymerization due to the “degradative monomer chain transfer”
effect. In these cases, the free radical from the allyl/alloc group
has a decreased tendency to propagate during polymerization as compared
to other free radical polymerizing groups (i.e., vinyl acetates, methacrylate,
or acrylates) and often results in termination.[26,27] Consequently, when the PEG–PQ(alloc) macromer is incorporated,
predominantly single junctions are formed (i.e., one acrylate to one
alloc) as opposed to the large number of acrylate groups that can
be present at a single junction during a PEG-diacrylate or dimethacrylate
polymerization.[33] These cross-links would
then contribute significantly less to the overall mechanics of the
hydrogel network by decreasing the number of available acrylate groups
and size of the poly(acrylate) cross-linking centers during the photopolymerization
reaction. These effects lead to the synthesis of photopolymerizable
PEG-based hydrogels that exhibit highly compliant mechanical properties
at high density capable of forming self-supporting structures. This
basic capability overcomes the lower mechanical limits generally established
by the need for a minimal amount of polymer to form a hydrogel. Furthermore,
combining the PEG–PQ and PEG–PQ(alloc) macromers at
different ratios and constant density permitted control over the compressive
modulus between the 100% PEG–PQ (∼17 kPa) and 100% PEG–PQ(alloc)
(<1 kPa) cases, suggesting tailorable material stiffnesses can
be achieved within the ranges explored. This is a critical range of
material compliance as it encompasses the local mechanical properties
of many brain, liver, cardiac, and other muscle tissues,[34,35] permitting functional investigations of ECs encapsulated within
these mechanically matched hydrogel environments.Similar proteolytic
degradation trends across PEG–PQ and
PEG–PQ(alloc) hydrogels were observed, indicating the degradation
kinetics are coupled to the polymer density as opposed to the hydrogel’s
mechanical properties. Furthermore, the alloc side group and its photopolymerization
products did not create any significant steric barriers or noticeable
changes to the MMP-dependent cleavage over the time periods investigated.
In our protein diffusivity experiments, it was found that hydrogels
consisting of either 100% PEG–PQ or 100% PEG–PQ(alloc)
exhibit similar diffusivities for proteins ranging from 5 to 50 kDa.
Here, it is likely that the incorporation of Lys(alloc) groups alters
the mesh structure of the hydrogel through the incorporation of acrylate-alloc
cross-links, decreasing the average number of chains terminating at
a cross-linking center. Yet, although this shift in cross-link density
is capable of greatly decreasing the mechanical properties of the
hydrogel, it is not enough to significantly alter protein diffusion
in the resulting hydrogel environment because the overall polymer
density is unchanged.In 2D studies of mechanical effects on
cellular morphological behaviors,
it has generally been observed that stiff materials lead to highly
spread morphologies with extensive actin stress fibers as compared
to ECs cultured on more compliant matrices.[36] However, matrix dimensionality is believed to greatly affect how
cells sense their mechanical environment because of changes in cell–matrix
interactions.[37] In our 3D studies, more
compliant materials yielded more highly spread cells. This result
is consistent with other short-term 3D cell remodeling experiments
in proteolytically degradable PEG-fibrin hydrogels where, after 30
h of culture, smooth muscle cells took on spindled morphologies in
compliant hydrogels as compared to rounded morphologies in stiffer
hydrogels.[21] Similar behaviors have also
been observed in MMP-sensitive PEG hydrogels, where murine preosteoblastic
cells (MC3T3-E1) were able to spread and migrate faster in more compliant
hydrogels.[38] However, both of these studies
required the precise tailoring of mechanical properties by control
of polymer chain length[21] or density,[38] which can affect the degradative and diffusive
properties of the hydrogel. In several recent 3D studies, matrix degradability
was used to control cell spreading and morphology in 3D, suggesting
that matrix degradation could be tuned to regulate local ECM remodeling
events.[39−41] Here, the hydrogel mechanics, independent of degradative
properties, allowed similar levels of control using a minimal synthetic
hydrogel environment.During angiogenesis and vasculogenesis,
ECs sense and respond to
each other as well as their environment to organize and form vascular
networks. These networks can then be stabilized by pericytes while
nonfunctional networks regress.[42] In this
work, the HUVECs alone were able to respond to the changes in hydrogel
compliance by spreading, but no network formation was observed. In
the coculture model, this heightened ability to spread in softer hydrogels
permitted faster assembly into tubule-like networks. The enhanced
ability of the coculture to form networks in the PEG–PQ(alloc)
hydrogels is very apparent at early time points, but appears to converge
with the PEG–PQ hydrogels at later time points. This suggests
that the matrix compliance is able to accelerate network formation
without altering the long-term behaviors of the networks. Several
groups have assessed the rate of network formation based upon the
material compliance in 2D, showing more compliant matrices to be more
amenable to network formation.[43−45] Matrix dimensionality greatly
affects how cells sense their local environment, yet far less work
has been done to assess the mechanical regulation of cellular behaviors
in 3D.After longer in vitro culture times, we assessed changes
in the
vessel network, deposition of ECM proteins, and the overall persistence
of the PEG–PQ(alloc) hydrogels. Although the networks seen
after 1 and 2 weeks loosely resemble the end points (6 day) of the
short-term studies, the networks seen after 4 weeks have taken on
a more contractile phenotype characterized by the thinner networks
as compared to earlier time points. Throughout this period, the cell
networks exhibited positive staining for both laminin and collagen
IV, suggesting the ECs ability to produce and secrete ECM proteins
is unaffected over time. Importantly, though, the compliant PEG–PQ(alloc)
hydrogels remained intact and exhibited sustained support for cellular
networks through all 4 weeks of culture. This is a critical result,
as the ability to use highly compliant materials for in vitro and
in vivo studies is generally limited by the breakdown of the scaffolding
material, often necessitating the use of denser, stiffer materials.
In our experiments, both the hydrogels and cell networks remained
intact, indicating that these compliant hydrogels are a viable option
for long-term studies of EC behavior in vitro.
Conclusions
This
new method to alter and precisely tune the mechanical properties
of photopolymerized PEG hydrogels using engineered peptide sequences
is capable of decoupling changes in mechanical properties from the
hydrogel’s degradative and diffusive properties. This independent
control of hydrogel mechanical properties was then capable of regulating
the spreading and network formation kinetics of ECs in vitro. We have
demonstrated that EC behaviors in 3D can be modulated similarly to
2D studies through mechanical control. Although biochemical cues and
degradability are still critical determinants of EC responses to their
local environments, these data suggest mechanical properties of the
cell environment play equally important roles in influencing many
3D cell fate decisions. Thus, the ability to span large ranges of
mechanical properties and encompass these highly compliant mechanical
regimes using constant polymer density, synthetic systems would permit
better understandings of the independent effects of biochemical and
mechanical cues on EC behaviors during morphogenic processes such
as angiogenesis and vasculogenesis.In addition, the unique
mechanical capabilities of PEG–PQ(alloc)
hydrogels should lend their use to a multitude of other applications
where sufficiently compliant mechanical properties have been difficult
to achieve in many photopolymerizable synthetic systems. Tissue niches
such as the brain, lung, and a variety of tumors have been difficult
to recapitulate in 3D because of their highly compliant and complex
local environments. Therefore, customizable materials that can achieve
such mechanical regimes and persist for long periods of time in culture
should be of interest for functional cell studies which mimic these
difficult tissues. This demonstrated ability to achieve long-term
culture and material persistence through highly compliant and dense
materials may allow the effective translation of many of these in
vitro investigations to in vivo settings.Lastly, for many tissue
engineering applications, the role of pro-angiogenic
materials is to permit the formation of new vasculature, ideally restoring
the affected tissue’s function or inducing perfusion of an
implanted engineered tissue. Often, the affected tissues are avascular
(i.e., artificial tissues or organs) or necrotic (i.e., ischemic regions).
Therefore, the chosen material must permit rapid integration of cells
and vessel networks. The findings that the soft PEG–PQ(alloc)
materials permit fast EC assembly into vessel-like networks with similar
end point phenotypes to their stiffer counterparts suggest that more
compliant materials, such as those reported here, may enhance tissue
and vessel integration to improve therapeutic outcomes.
Materials and Methods
Cell Maintenance
HUVECs (pooled
donors; Lonza, Walkersville,
MD) were used at passage three and cultured in endothelial growth
medium (EGM-2, Lonza) supplemented with 2 mM l-glutamine,
1000 U/mL penicillin, and 0.1 mg/mL streptomycin (Sigma; St. Louis,
MO). HBVPs (ScienCell, San Diego, CA) were cultured in Pericyte Media
(ScienCell) in poly-l-lysine (2 μg/cm2)
coated tissue culture plastic flasks and used at passage three. All
cell lines were maintained at 37 °C with 5% CO2.
PEG Macromer and Hydrogel Synthesis
The peptides GGGGGPQGIWGQGGGGK
and GGGGGPQGIWGQGG-Lys(alloc)-GK were synthesized using standard Fmoc
chemistry using an Apex 396 parallel synthesizer (Aapptec, Louisville,
KY). Peptide products were verified using a DE-Pro MALDI-MS (Applied
Biosystems). The resulting peptides were PEGylated by reacting with
2.1 mol equiv of acrylate-PEG-succinimidyl valerate (acryl-PEG-SVA;
Laysan Bio, Arab, AL) in dimethyl sulfoxide (DMSO; Sigma) with 2:1
molar excess N,N-diisopropylethylamine (DIPEA; Sigma) to acryl-PEG-SVA.
The reactions were performed overnight (∼18 h) on a rocker
plate at room temperature under inert atmosphere. PEGylated peptides
were then dialyzed and lyophilized. Purity was assessed via gel permeation
chromatography (GPC) using an evaporative light scattering detector
(Polymer Laboratories; Amherst, MA), yield >95%. RGDSpeptides
(American
Peptide, Sunnyvale, CA) were conjugated similarly with acryl-PEG-SVA
(1.5:1 RGDS:acryl-PEG-SVA) in DMSO with DIPEA. PEGylated RGDS was
dialyzed and lyophilized. Purity was assessed via GPC, yield >85%.
PEG-RGDS could then be fluorescently tagged by reacting overnight
at 1:1 a ratio with Alexafluor488-NHS and 2:1 molar excess DIPEA in
DMSO, which was then dialyzed and lyophilized to form PEG-RGDS-A488.
All PEGylated peptides were protected from light and stored at −80
°C under inert atmosphere until use. To form hydrogels, PEG–PQ
or PEG–PQ(alloc) macromers were dissolved at identical PEG
densities (w/v) in hepes-buffered saline with 1.5% (v/v) triethanolamine
(HBS-TEOA) containing 10 μM eosin Y photoinitiator and 0.35%
(v/v) n-vinylpyrrolidone (NVP; Sigma). To account for differences
in peptide molecular weight, the PEG-peptide macromers concentrations
were normalized for PEG-acrylate content. Here, 5%, 7.5%, and 10%
PEG w/v corresponded to 61.1, 91.65, and 122.2 mg/mL PEG–PQ
macromer and 62.3, 93.45, and 124.6 mg/mL PEG–PQ(alloc) macromer,
respectively. The prepolymer solution was then dropped between PDMS
spacers on to clean glass slides treated with Sigmacote (Sigma) per
the manufacturer’s protocol. The droplet was capped with methacrylate-functionalized
cover glass (no. 1.5). Methacrylation was performed by submerging
clean cover glass in ethanol with 2% (v/v) 3-(trimethoxysilyl)propyl
methacrylate for 48 h. Hydrogels were then polymerized under a white
light lamp (Dolan-Jenner, Boxborough, MA) set to 195 mW/cm2 at 514 nm. For PEG-RGDS incorporation studies, the hydrogels were
polymerized either in the presence of 7.5 μM PEG-RGDS-A488 alone
or 3.5 mM PEG-RGDS with 7.5 μM PEG-RGDS-A488. Hydrogels were
soaked overnight in PBS at 37 °C and washed several times to
remove any unreacted materials. Hydrogels were then completely degraded
with 100 μg/mL colagenase in 0.36 mM CaCl2 containing
0.2 mg/mL NaN3. The fluorescence from each solution was
then assessed using an Infinite M200 Pro microplate reader (Tecan,
Männedorf, Switzerland).One millimeter thick hydrogels were
prepared at 5%, 7.5%, or 10% (w/v) then soaked overnight in PBS at
37 °C and briefly rinsed with PBS to remove any unpolymerized
material before mechanical testing. Compression testing was performed
on a RSA III microstrain analyzer (TA Instruments, New Castle, DE).
Samples were compressed at a constant rate of 0.003 mm/s. The slope
of the initial linear range was taken to be the compressive modulus
(N = 4). For rheology, 1 mm thick hydrogels were
cast between two Sigmacote-treated glass slides. Gels were then cut
out into 10 mm diameter disks with a biopsy punch and soaked in PBS
at 37 °C overnight prior to testing. Rheological measurements
were performed using coarse stainless steel platens to eliminate slippage
on an AR-G2 (TA Instruments) with 10% axial strain. Samples were swept
to establish the linear regions where G′ and G″ were reported.
Collagenase-Dependent Degradation
One millimeter thick
hydrogels (5% PEG w/v) were photopolymerized and soaked overnight
at 37 °C in phosphate buffered saline (PBS). Gels were rinsed
briefly with PBS then transferred to an ultralow attachment 24-well
plate (Corning, Corning, NY) in 0.36 mM CaCl2 containing
0.2 mg/mL NaN3 and 10 μg/mL collagenase. Control
gels were incubated with buffer lacking collagenase. Buffer was exchanged
every 30 min for 4 h and degradation was monitored via absorption
at 280 nm to assess the production of tryptophan-containing degradation
fragments using an Infinite M200 Pro microplate reader. A final measurement
was taken after 24 h and was used to normalize the previous absorption
values.
Diffusivity Measurements
Diffusivity was determined
as previously described.[7] Briefly, 380
μm thick hydrogels (5% PEG w/v, N = 3) were
cast between two Sigmacote-treated glass slides and punched into 10
mm disks. The gels were then transferred to 24 well plates and soaked
overnight at 4 °C in the presence of 1 mg/mL protein (insulin,
trypsin inhibitor, carbonic anhydrase, or ovalbumin) in PBS. Gels
were transferred into PBS and incubated at 37 °C. Buffer was
exchanged at time points of 8, 15, 30, 60, and 120 min. The recovered
solution’s protein concentration was evaluated using a Micro
BCA protein assay (Thermo Scientific, Rockford, IL). Standards were
prepared for each individual protein and treated identically to samples.
Given the high aspect ratio of top and bottom areas to the side area
of the hydrogel disks (∼26:1), the hydrogel could be modeled
as a sheet using and calculated by fitting the resulting data points
as a flat sheet with eq 1.Here, M is the mass
of protein released at time, t, M is the total
mass of protein released, DH is the diffusivity
of the protein in the hydrogel, and l is the thickness
of the hydrogel (380 μm).[7] The hydrodynamic
radius and protein diffusivity in water were estimated by eqs 2 and 3, respectively.Here, a is the hydrodynamic
radius, MW is the molecular weight, ρ is the
density (∼1 g/cm2), NA is Avogadro’s number, DW is the
protein diffusivity in water at 37 °C, R is
the ideal gas constant, T is the temperature, and
μ is the viscosity of water (0.0076 g/(cm s) at 37 °C).[46]
3D Cell Spreading Assay
PEG–PQ
and PEG–PQ(alloc)
macromers were dissolved at different ratios (100/0, 75/25, 50/50.
25/75, and 0/100 PEG–PQ/PEG–PQ(alloc), N = 4) at a constant
5% w/v PEG, then polymerized with 1 × 106 HUVECs/mL
and 3.5 mM PEG-RGDS to encapsulate HUVECs in hydrogels exhibiting
a range of mechanical properties. In past work, 3.5 mM PEG-RGDS has
been shown to enhance HUVEC spreading and network assembly in 3D more
so than higher or lower concentrations.[15,47] After polymerization,
gels were cultured in ultralow attachment 24 well plates with EGM-2
media. Phase images were taken at 24 h on a Zeiss Axiovert 135 (Carl
Zeiss Microscopy GMBH, Jena, Germany) with a Zeiss 40× plan-neofluoar
phase objective (NA = 0.6). Individual cells (>100/gel formulation,
∼25/gel) were traced and scored for circularity using ImageJ
(NIH; Bethesda, MD). Afterward, the gels were stained with DAPI and
phalloidin conjugated to Alexa Fluor 488, then imaged again to visualize
cells’ actin cytoskeleton and nuclear arrangement using a Zeiss
63× plan-neofluoar phase objective (NA = 0.75).
3D Tubulogenesis
Assay
PEG–PQ and PEG–PQ(alloc)
prepolymers were prepared at 5% (PEG w/v) and polymerized in the presence
of 2.4 × 107 HUVECs/mL, 6 × 106 HBVPs/mL,
and 3.5 mM PEG-RGDS. After polymerization, gels were cultured in ultralow
attachment 24-well plates with EGM-2 media. Media was changed after
4 h, then every other day. Gels were immediately fixed after 1, 3,
or 6 days of culture with 4% paraformaldehyde in PBS. Gels were then
permeabilized with 2.5% Triton-X, blocked with 5% donkey serum in
PBS, and stained for PECAM and αSMA using goat anti-PECAM (Santa
Cruz Biotechnology; Santa Cruz, CA) and mouse anti-α-smooth
muscle actin (Abcam, Cambridge, MA). For long-term culturing (out
to 4 weeks), gels were fixed after 1, 2, or 4 weeks then stained for
PECAM as well as laminin and collagen IV deposition using mouse anticollagen
IV (Abcam) and rabbit antilaminin (Abcam). Prior to imaging, cells
were counterstained with DAPI. Imaging was performed on a Zeiss LSM
510 inverted confocal microscope using a 20× plan-apochromat
objective (NA = 0.80) taking 30 × 2 μm thick slices with
1 μm overlap, yielding 30 μm thick z-stacks (three gels/polymer/time
point with four z-stacks/gel). Tubule lengths, tubule segments, and
branch points were estimated using the Angiogenesis application in
Metamorph (Molecular Devices, Sunnyvale, CA). Cell and network volumes
were created using the Imaris (Bitplane, Zurich, Switzerland) software
package.
Statistical Analyses
Statistical analyses were performed
using the software package JMP Pro 11 (SAS Institute, Cary, NC). Data
sets were analyzed using either a two-tailed Student’s t test or one-way analysis of variance (ANOVA), followed
by Tukey’s Honest Significant Difference test for multiple
comparisons. In all cases, p-values less than 0.05
were considered significant and all values are reported as mean ±
standard deviation.
Authors: M Ehrbar; A Sala; P Lienemann; A Ranga; K Mosiewicz; A Bittermann; S C Rizzi; F E Weber; M P Lutolf Journal: Biophys J Date: 2011-01-19 Impact factor: 4.033
Authors: Christopher A Durst; Michael P Cuchiara; Elizabeth G Mansfield; Jennifer L West; K Jane Grande-Allen Journal: Acta Biomater Date: 2011-02-15 Impact factor: 8.947
Authors: Michael P Cuchiara; Daniel J Gould; Melissa K McHale; Mary E Dickinson; Jennifer L West Journal: Adv Funct Mater Date: 2012-11-07 Impact factor: 18.808
Authors: Benjamin A Juliar; Jeffrey A Beamish; Megan E Busch; David S Cleveland; Likitha Nimmagadda; Andrew J Putnam Journal: Biomaterials Date: 2019-11-18 Impact factor: 12.479
Authors: Pedro Alvarez-Urena; Eleanor Davis; Corinne Sonnet; Gabrielle Henslee; Zbigniew Gugala; Edward V Strecker; Laura J Linscheid; Maude Cuchiara; Jennifer West; Alan Davis; Elizabeth Olmsted-Davis Journal: Tissue Eng Part A Date: 2017-01-25 Impact factor: 3.845
Authors: Eric J Marrotte; Khari Johnson; Ryan M Schweller; Rachel Chapla; Brian E Mace; Daniel T Laskowitz; Jennifer L West Journal: Crit Care Explor Date: 2021-06-14