The extracellular matrix consists of a complex mixture of fibrillar proteins, in which the architecture and mechanical properties of the protein fibrils vary considerably in various tissues. Here, we systematically polymerized collagen gels at different temperatures, providing substrates with tunable mechanics and defined local microarchitecture. We studied the dependence of spreading dynamics, proliferation, migration, and differentiation of human mesenchymal stem cells (hMSCs) on the fibrillar properties as compared to the bulk properties of the matrix. We found that high fiber stiffness, together with shorter fiber lengths, limited the transfer of cellular traction forces to nearby fibers. As a result, cells were not able to build up sufficient tension, which suppressed cell spreading, proliferation, and migration. Cells on such fibers also showed limited focal adhesion formation and different lineage selection preferences. In contrast, cell spreading, proliferation, and migration was always associated with fiber recruitment, long-range deformations in the collagen gel networks and an increase in collagen density around cells. Typically, cells on such substrates had a preference for osteogenic differentiation and showed higher levels of focal adhesions formation. These results contribute to a further understanding of the mechanotransduction process and to the design criteria for future biomimetic materials for tissue-engineering applications.
The extracellular matrix consists of a complex mixture of fibrillar proteins, in which the architecture and mechanical properties of the protein fibrils vary considerably in various tissues. Here, we systematically polymerized collagen gels at different temperatures, providing substrates with tunable mechanics and defined local microarchitecture. We studied the dependence of spreading dynamics, proliferation, migration, and differentiation of human mesenchymal stem cells (hMSCs) on the fibrillar properties as compared to the bulk properties of the matrix. We found that high fiber stiffness, together with shorter fiber lengths, limited the transfer of cellular traction forces to nearby fibers. As a result, cells were not able to build up sufficient tension, which suppressed cell spreading, proliferation, and migration. Cells on such fibers also showed limited focal adhesion formation and different lineage selection preferences. In contrast, cell spreading, proliferation, and migration was always associated with fiber recruitment, long-range deformations in the collagen gel networks and an increase in collagen density around cells. Typically, cells on such substrates had a preference for osteogenic differentiation and showed higher levels of focal adhesions formation. These results contribute to a further understanding of the mechanotransduction process and to the design criteria for future biomimetic materials for tissue-engineering applications.
Cells can sense and transduce
physical properties of the extracellular matrix (ECM) into intercellular
signals that guide the cellular response.[1−6] Significant progress has been made in understanding these mechanosensing
and mechanotransduction processes by studying cells on flat hydrogel
substrates with tailored mechanical properties.[7−9] However, the
native ECM is a complex and heterogeneous environment, making it very
difficult to correlate specific materials properties of the ECM to
cellular responses. Furthermore, as the ECM is composed of fibrous
proteins (e.g., collagen, elastin, fibronectin, and laminin),[10,11] there is often a much-higher local stiffness (∼1 MPa at the
individual-fiber level) compared to the bulk matrix (∼100 Pa
at the bulk-matrix level).[12,13]Baker et al.[14] recently designed a synthetic fibrous material
with tunable mechanics and user-defined architecture that mimics key
aspects of the fibrillar nature of the ECM. They found that lower
fiber stiffness permitted cellular forces to recruit nearby fibers,
thereby dynamically increasing ligand density at the cell surface
and promoting the formation of focal adhesions (FAs) and related signaling.
In contrast, networks of stiff fibers seemed to limit cell spreading.
This is somewhat counterintuitive to the generally accepted notion
that cells on softer surfaces often form fewer FAs and spread much
less compared to stiff substrate. Baker et al. highlighted the importance
of microstructure in synthetic fibrillar microenvironments. The aim
of our work is to establish whether a similar mechanism holds true
for matrices composed of fibrillar proteins instead of synthetic polymers
to gain a deeper understanding of how local differences in structure
and mechanics of the native ECM influence cell behavior.Type
I collagen is the predominant structural protein in the native ECM
and forms fibrillar structure in various connective tissues, such
as tendons, ligaments, and skin.[15−18] However, the structural and mechanical
properties of collagen fibers vary depending upon their location in
different tissues. For example, in areolar tissue, collagen fibers
exhibit a loose arrangement and run in random directions. Compared
to areolar tissue, the structure of tendons is completely different,
as collagen fibers bunch up to form dense, rope-like bundles. In addition,
collagen fibers localized in various tissues also differ greatly in
mechanical properties, they are rigid in bone, compliant in skin,
or form a gradient from rigid to compliant in cartilage.[19−22] A number of studies have reported detailed protocols to control
the fiber thickness, stiffness, and length of collagen fibers, primarily
by changing collagen concentration and polymerization temperature
or pH.[17,23−30] Here, we expand these methods and study the response of hMSCs that
are cultured on collagen gels composed of different fibers.
Materials and Methods
Formation of Collagen Gels with Different Physical Cues
Fibrillar collagen gels were prepared from acid-solubilized rat-tail
collagen I (BD Biosciences), as described previously.[26,31,32] Briefly, high-concentration collagen
was diluted to 6 mg/mL with PBS, and then NaOH (1 N) was added to
neutralize the pH; afterward, an equal amount of Dulbecco modified
Eagle medium (DMEM)–Hepes (Gibco) was added to dilute the collagen
to a 3 mg/mL solution. Finally, collagen gels with different physical
cues were generated at different polymerization temperatures (4, 21,
and 37 °C) and corresponding polymerization times of overnight
(15 h), 2 h, and 30 min, respectively.
Mechanical
Testing
We measured the bulk stiffness of collagen gels using
an AR-G2 rheometer (TA Instruments, New Castle, DE). First, the polymerization
temperature was set, and upon reaching the desired temperature, 700
μL of the gel solution was added to the 35 mm steel parallel
plate with a 500 μm gap. Measurements were carried out at a
controlled temperature of 4, 21, and 37 °C, respectively. After
collagen had polymerized overnight (15 h) at 4 °C, 2 h at 21
°C, and 30 min at 37 °C, the shear storage modulus of the
gels was measured at 1% strain at a frequency of 0.1 Hz for 30 min
and all results were based on four separate experiments. Local fibers
stiffness was measured by AFM (Bruker Nanoscope) using conical-tipped
pyramidal cantilevers (NP-S type D, Bruker) at a 1 μm resolution,
which was as close to the fiber diameter as possible. The “point-and-shoot”
procedure (Nanoscope Software, Bruker) was used to measure fiber stiffness,
and all of the gels were kept in PBS buffer during the measurement.
To obtain fiber stiffness values from force curves, we used PUNIAS
software (http://punias.free.fr). Specifically, multiple force displacement curves (five different
locations) were fitted to the conical indenter Sneddon model:where F is the force, E is the Young’s
modulus, δ is the indentation depth, α = 18° is the
indenter half-angle, and ν is the Poisson ratio, which was set
to 0.5 on the indentation curve.[33]
Morphology of Collagen Microarchitecture
After collagen
gel formation, immunostaining with a fluorescently labeled collagen
antibody allowed us to observe the microarchitecture and the gel reorganization
using confocal microscopy. Immunostaining was carried out by first
staining with antibody antimouse collagen (Abcam, ab90395) for 1 h
and subsequently by staining with secondary antibody Alexa-Fluor 488goat anti-mouse (Thermo Fisher Scientific, R37120) for 1 h. During
the experiment, all of the antibodies were dissolved in 1% BSA (Sigma).
Finally, a Leica SP8 confocal laser scanning microscope (Leica, Germany)
was used to take images and monitor the reorganization of the collagen
fibers.
Quantification of Fibrillar Structure of Gels
We quantified the fibrillar structure of gels formed at 4 °C;
due to extensive overlap of fibers in gels formed at higher temperatures,
no accurate measurements could be performed. To calculate fiber diameter,
length, and porosity, Alexa-Fluor 488-labeled collagen gels were imaged
on an SP8 confocal microscope with a 63× objective. A total of
20 frames of Z-stacks were captured and merged into a single image
by Image 5D Fiji software. From these images, an inverted threshold
(dark threshold) was used to calculate the percent area that was not
considered a fiber and used as a percent porosity measurement. For
fiber diameter and length analysis, line segments were drawn across
the widths and lengths of fibrils found in merged images for Col-4
using Fiji software. The number of independent experiments (N) was 3, and the number of data points (n) was ≥20; more than 20 regions of interest (ROI) from three
separate experiments were analyzed.
hMSCs
Culture and Seeding
hMSCs were obtained from Lonza and cultured
to passage 6 in normal medium containing low-glucoseDMEM, fetal bovine
serum (FBS; Gibco), glutamine, and penicillin–streptomycin
(pen/strep, Thermo Fisher Scientific). Next, hMSCs (P6) were seeded
on the gels at the density of 1250 per cm2 for cellular
spreading, proliferation, migration, and microenvironment reorganization
tests and 2500 or 25 000 per cm2 for osteogenic
and adipogenic differentiation, respectively. Proliferation medium
(high-glucoseDMEM + 10% FBS + 1% glutamine +1% pen/strep) was used
to culture cells on different collagen gels except for differentiation
studies; differentiation medium was composed of proliferation medium
and osteogenic and adipogenic chemical supplements (5 × 10–7 M dexamethasone, 5 mM β-glycerolphosphate,
0.1 mM ascorbic acid-2-phosphate, 250 μM 3-isobutyl-1-methylxanthine,
5 μg/mL insulin, and 5 × 10–8 M rosiglitazone
maleate, all from Sigma).
Time-Lapse Imaging
Nikon Diaphot 300 with Hamamatsu C8484–05G CCD Camera and
a Leica SP8 confocal microscope were used to monitor cell movements
and collagen fibers reorganization. During all experiments, cells
were cultured at constant 37 °C and 7.5% CO2 atmosphere,
and microscopes were used to take images at 10 min intervals. For
cell movements, we used a Nikon Diaphot 300 with a 10× phase
contrast objective to track cells over 15 h. Next, the movement of
single cell was measured by manually clicking on the geometric center
of the cell using ImageJ Manual Tracking Plugin, and the xy coordinate corresponding to each clicked pixel was recorded. Trajectory
graphs were generated by inputting the data into “Plot_At_Origin”
program provided in a previous study.[34] For images of Alexa-Fluor 488-labeled collagen fibers reorganization,
the 488 nm argon laser of a Leica SP8 confocal microscope was used,
and all of the images were merged by Fiji software.
Immunofluorescence Staining
Immunofluorescent staining
was performed to observe the cytoskeleton or FAs. After incubation,
cells seeded on the gels were fixed with 4% paraformaldehyde (Sigma)
for 10 min and treated in 0.2% Triton X-100 (Sigma) for 10 min at
room temperature. For cytoskeleton staining, samples were incubated
with phalloidin-Atto 633 (Sigma) and 4',6-diamidino-2-phenylindole
(DAPI) (Millipore) for 1 h; for FAs staining, nonspecific binding
sites were blocked in 10% BSA solution for 1 h first, followed by
incubation with primary antibody antivinculin (Abcam, ab18058) and
anti-integrin β1 antibody (ab30394) for 1 h and, subsequently,
with secondary antibody Alexa 488 goat anti-mouse (Thermo Fisher Scientific,
R37120), phalloidin, and DAPI for 1 h. The stained cells were imaged
using the SP8, and spreading areas and perimeter measurements were
obtained using Fiji’s in-built “Measure” function
after drawing a region of interest around cells. More than 80 cells
were measured in three separate experiments.
Proliferation
Test
For proliferation testing, EdU labeling, which can incorporate
into the DNA of cells during replication, was performed. hMSCs were
plated on different substrate at a density of 1250 per cm2 and allowed to recover overnight, followed by treatment with 1×
EdU solution. When the incubation up to 48 h, cells were fixed and
permeabilized with 4% PFA and 0.1% Triton X-100, respectively. Following
these processes, samples were treated according to the manufacturer’s
protocol of Click-iT EdUAlexa Fluor-488 HCS Assay (Thermo Fisher
Scientific). All images were collected by a Leica SP8 confocal microscope
(Leica, Germany) with filters for DAPI and Alexa Fluor-488. For quantification,
lower magnification (10× objective) fields were collected within
regions of interest.
Differentiation Assays
hMSCs were cultured for 7 or 10 days in mixture medium for osteogenic
and adipogenic differentiation, respectively. Subsequently, all cells
were fixed with 4% PFA and penetrated with 0.2% Triton-X 100 for 10
min, respectively. ALP staining was performed by Fast Blue assay (naphthol-AS-MSCphosphate and Fast Blue RR, Sigma) in Tris–HCl buffer (pH 8.9)
and incubated at 37 °C for 1 h. Oil Red O staining was performed
by incubating cells with 1.8 mg/mL Oil Red O (Sigma) for 30–60
min at room temperature and then rinsing with 60% isopropanol (Sigma).
The nuclei were stained with DAPI, and images were acquired on a Zeiss
inverted microscope (Photometrics, USA).
Statistics
Statistical analysis was performed with Origin software and one-way
analysis of variance (ANOVA) using a Tukey post-test for more than
two variables was carried out. “Significant” and “very
significant” differences were indicated by * (P < 0.05) or ** (P < 0.01), respectively. All
results were expressed as mean ± standard error. In each test,
the number of independent experiments (N) is more
than three, and the number of data points (n) in
each experiment is different. Both N and n are shown in the figure legend.
Results
Formation of Collagen Gels with Different
Physical Properties
To investigate how cells sense local
fibrillar microenvironments with different physical cues, we tuned
the collagen gel microarchitecture by varying the polymerization temperature
while maintaining the collagen concentration at 3 mg/mL, as previously
reported.[26,32] This method gives us access to a number
of well-controlled gel morphologies with different mechanical properties
and local topography. We do note that changing the polymerization
temperature leads to a change in physical parameters, including fiber
stiffness and topography. As shown in Figure A–C, collagen fibers formed at higher
temperature exhibited a more-compact structure and thinner fibers
compared to those formed at lower temperature. Although we cannot
accurately measure collagen fibers for gels polymerized at 21 and
37 °C (denoted as Col-21 and Col-37), fiber diameter and pore
size appeared larger (1.7 ± 0.4 and 7 ± 2 μm, respectively),
while the length of fibers appeared to be shorter (about 31 ±
4 μm) for gels polymerized at 4 °C (denoted as Col-4).
Bulk stiffness all of these three collagen gels were very soft with
stiffness ranging from 16.4 to 151.5 Pa (Figure D). However, the local fiber stiffness measured
by AFM revealed that fiber stiffness was much higher and varied over
a much wider range (from 1.1 to 9.3 kPa) by simply decreasing the
polymerization temperature from 37 to 4 °C. (Figure E).
Figure 1
Collagen gels polymerized
at different temperature with tunable mechanical and architectural
features. (A–C) Morphologies of Alexa-Fluor 488-labeled collagen
gels polymerized at 4, 21, and 37 °C, respectively. (D) Stiffness
of bulk gels; N = 4. (E) Stiffness of local fibers; N = 4, n = 5. Scale bars: 20 μm.
**: P < 0.01.
Collagen gels polymerized
at different temperature with tunable mechanical and architectural
features. (A–C) Morphologies of Alexa-Fluor 488-labeled collagen
gels polymerized at 4, 21, and 37 °C, respectively. (D) Stiffness
of bulk gels; N = 4. (E) Stiffness of local fibers; N = 4, n = 5. Scale bars: 20 μm.
**: P < 0.01.
Microarchitecture Influence on Cell Spreading
and Proliferation
hMSCs were seeded on different gels of
varying architecture at low cell densities (1250 cells/cm2) to observe single cell behavior. Representative confocal microscopy
and time lapse microscopy images of cell spreading morphologies on
Col-4, Col-21, and Col-37 at different time points within 24 h incubation
are presented in Figure A and Supplementary Movies 1–3.
The spreading of hMSCs on Col-21 and Col-37 started with the formation
of small protrusions at 2 h after seeding. However, cells on Col-4
exhibited a round state and failed to spread until 5 h of culture
time. Quantification of cell perimeter and spreading area on Col-21
and Col-37 (Figure B,C) showed a rapid increase after cell seeding, followed by a steady
state around 15 h of incubation. On Col-4, cell spreading occurred
at a later stage (around 5 h), and it took more time for cells to
reach a steady state (around 24 h). At the steady state, cells on
all gels adopted a similar spindle-like morphology, and cell perimeters
were comparable (Figure B); however, the spreading area was significantly lower for cells
cultured on Col-4 (Figure C). Cell proliferation over 48 h of culture was measured by
EdU staining[35] and showed the same tendency
with spreading area. Cell proliferation on Col-37 with soft fibers
was 1.7-fold higher compared to Col-4 with stiff fibers (Figure D). These results
suggest that the characteristics of the local microenvironment have
an important effect on both cell spreading and proliferation.
Figure 2
Cell spreading
dynamics and proliferation. (A) Morphology of representative cells
at different time points: cell skeleton staining with phalloidin (red)
and nucleus staining with DAPI (blue). (B) Quantification of cell
perimeter at different time points. (C) Quantification of cell area
at different time points. (D) Proliferation of cells over 48 h as
determined by EdU test. N = 3, n ≥ 80. Scale bars: 20 μm. **: P <
0.01.
Cell spreading
dynamics and proliferation. (A) Morphology of representative cells
at different time points: cell skeleton staining with phalloidin (red)
and nucleus staining with DAPI (blue). (B) Quantification of cell
perimeter at different time points. (C) Quantification of cell area
at different time points. (D) Proliferation of cells over 48 h as
determined by EdU test. N = 3, n ≥ 80. Scale bars: 20 μm. **: P <
0.01.
Cell-Mediated
Remodeling of Fibrillar Microenvironment and Positive Correlation
with Cell Spreading
Fiber recruitment has been described
as a mechanism by which cells probe and respond to mechanics in fibrillar
matrices. We hypothesized that the different physical properties of
collagen gels alter the ability of cells to remodel the surrounding
matrix. Remodeling can be visualized by culturing hMSCs on fluorescently
labeled collagen hydrogels.Interestingly, we observed that
the remodeling on Col-37 and Col-21 started at very early stages,
around 5 h after seeding, and deformed networks and collagen fiber
alignments between cells were clearly observed (Figure A). However, cells on Col-4 were immobile
without any recruitment of fibers. A closer look at the interaction
between cells and the surrounding matrix demonstrated that cells on
Col-37 and Col-21 formed protrusions and pulled the surrounding fibers
directionally along the protrusions into a bundled, aligned, and condensed
matrix (Figure A).
After hMSCs were cultured for 15 h on collagen gels, cells on all
substrates were able to remodel their surrounding matrix. This remodeling
process could be followed in time in our live cell imaging experiments
(Movies S1–S3). Compared with cells
on Col-37 and Col-21, less formation of long collagen lines between
cells was observed on Col-4 (Figure B).
Figure 3
Mechanical remodeling of fibrillar microenvironment by
hMSCs. (A) Cell-mediated initial recruitment after 5 h of incubation.
(B) Collagen fibers became gradually disorganized after 15 h incubation.
Actin cytoskeleton is stained with phalloidin (red), and collagen
fiber is labeled with collagen antibody (green). Arrows indicate collagen
lines formed between cells. Scale bars are 200 μm for images
at low magnification (top) and 20 μm for images at high magnification
(bottom).
Mechanical remodeling of fibrillar microenvironment by
hMSCs. (A) Cell-mediated initial recruitment after 5 h of incubation.
(B) Collagen fibers became gradually disorganized after 15 h incubation.
Actin cytoskeleton is stained with phalloidin (red), and collagen
fiber is labeled with collagen antibody (green). Arrows indicate collagen
lines formed between cells. Scale bars are 200 μm for images
at low magnification (top) and 20 μm for images at high magnification
(bottom).
Recruitment
of Collagen Fibers Promotion of β1 Integrins and Vinculin Expression
through Myosin-Mediated Cellular Contractility
Immunostaining
for activated β1 integrin (major integrin involved in collagen
binding)[36,37] revealed that compared with cells on Col-4,
higher levels of β1 integrin was found in cells cultured on
Col-37 (Figure A).
Vinculin is a focal adhesion-associated protein connecting integrins
to actin filaments and whose recruitment to FAs can be induced by
integrins. To assess the spatial distribution of FAs, cells were fluorescently
stained for vinculin. On Col-37, FAs frequently occur as clusters
along cell protrusions and are located primarily at the cell periphery.
In contrast, no clear FAs were found on Col-4. Taken together, the
compact structure of Col-37 provides more anchoring sites and effective
mechanical feedback, which can promote cell spreading. In addition,
to transmit forces, integrins, via vinculin, couple to actomyosin
motors, which mediate cell contraction to mechanically pull on adhesion
sites and promote cell spreading.[38,39] To test if
a complete loss of contractility would result in different cell behavior,
cells were treated with Blebbistatin (Bleb), an inhibitor of myosin
II-mediated contractility but not adhesion to the collagen substrate.[40,41] Interestingly, significantly reduced fiber recruitment (Figure A) and local stiffness
were observed after Bleb treatment (Figure B). These results confirm that local force
generation, fiber recruitment, and strain stiffening by spreading
cells depend upon β1 integrin–collagen interaction, focal
adhesion assembly, and myosin II-mediated contractility.
Figure 4
Mechanical
remodeling of fibrillar microenvironment and promotion of β-integrin
and FAs formation. (A) β-integrins and (B) FAs formation of
representative hMSCs on Col-4 and Col-37 after 24 h of culturing.
Merged images (left, scale bars: 20 μm). Single-channel images
at low- and high-magnification overviews (middle, scale bars: 20 μm;
right, scale bars: 100 μm).
Figure 5
Myosin IIa-mediated cell contractility and induction of fiber recruitment.
(A) Cell spreading after inhibition of Myosin IIa with Bleb treatment
before (left images) or during (middle images) cell culture. Cells
without Bleb treatment are the control (right images). Scale bars:
200 μm. (B) Local stiffness heat map of Col-37 before and after
Bleb treatment. Heat maps were generated over the corresponding positions
of bright-field images and represent the Young’s modulus at
each probing position. Scale bars: 20 μm.
Mechanical
remodeling of fibrillar microenvironment and promotion of β-integrin
and FAs formation. (A) β-integrins and (B) FAs formation of
representative hMSCs on Col-4 and Col-37 after 24 h of culturing.
Merged images (left, scale bars: 20 μm). Single-channel images
at low- and high-magnification overviews (middle, scale bars: 20 μm;
right, scale bars: 100 μm).Myosin IIa-mediated cell contractility and induction of fiber recruitment.
(A) Cell spreading after inhibition of Myosin IIa with Bleb treatment
before (left images) or during (middle images) cell culture. Cells
without Bleb treatment are the control (right images). Scale bars:
200 μm. (B) Local stiffness heat map of Col-37 before and after
Bleb treatment. Heat maps were generated over the corresponding positions
of bright-field images and represent the Young’s modulus at
each probing position. Scale bars: 20 μm.
Physical Cues of Fibrillar Microenvironment
and Influence on hMSCs Migration
Previous studies have shown
that there is a requirement for force in cell migration, and FAs are
also known to be sensitive to force. Continuous force generation and
effective feedback can promote not only FAs formation but cell migration.
As shown in the time-lapse movies (Supplementary
Movies 1–3), cells were inactive on Col-4 with delayed
spreading and slow migration, during the whole culture time (15 h),
the migration speed was only 0.14 μm/min. However, on Col-37
and Col-21, cells spread and migrated quickly, with 0.38 and 0.22
μm/min speed, respectively (Figure D). We tracked the migration of 25 representative
cells on all gels (Figure A-C) and displayed all trajectories emanating from the origin.
The movement of cells on Col-37 showed a substantially radial pattern;
instead, on Col-4, cells stayed close to the initial position. In
addition, according to the movement tracking and migration speed,
cells on Col-37 showed significantly larger migration distances than
the other two groups within the same time frame. All these migration
quantitative analysis were performed according to the previous study.[42]
Figure 6
Cell migration influenced by fibrillar properties. (A–C)
Movement tracking of 25 representative cells after 15 h of culturing
on gels. (D) Average speed of cells on different collagen gels. **: P < 0.01; *: P < 0.05; n = 25.
Cell migration influenced by fibrillar properties. (A–C)
Movement tracking of 25 representative cells after 15 h of culturing
on gels. (D) Average speed of cells on different collagen gels. **: P < 0.01; *: P < 0.05; n = 25.
Fiber
Recruitment Promotion of Osteogenic Differentiation of hMSCs
Finally stem cell fates were tested on different substrates. Osteogenic
differentiation was determined by ALP staining, which is a marker
for osteoblasts and the adipogenic differentiation, was detected using
Oil Red O staining, specific for intracellular oillipids. We found
that under mixed medium conditions, hMSCs showed very significant
differences in ALP and Oil Red O staining when differentiated on Col-37
and Col-4 (Figure A). When hMSCs were cultured on Col-4, the ratio of osteogenic differentiation
was 21.1%, much lower than that on Col-37 with 34.1% ALP positive
(Figure B). On the
contrary, on Col-4 cells showed a preference for adipogenic differentiation,
as up to 63.5% hMSCs were induced to adipocytes (Figure C). These results indicate
that the differentiation of hMSCs is related to physical properties
of collagen fibers instead of bulk gels. Gels consisting of stiffer,
shorter fibers appear to limit osteogenic differentiation and contribute
to preferential differentiation to adipocytes.
Figure 7
Cells differentiation dependence on substrate properties.
(A) ALP and Oil-O staining showing osteogenic and adipogenic differentiation
of hMSCs. (B) Quantitative results of positive osteogenic differentiation.
(C) Quantitative results of positive adipogenic differentiation. Scale
bars: 250 μm. **: P < 0.01; *: P < 0.05; N = 3; n ≥ 100.
Cells differentiation dependence on substrate properties.
(A) ALP and Oil-O staining showing osteogenic and adipogenic differentiation
of hMSCs. (B) Quantitative results of positive osteogenic differentiation.
(C) Quantitative results of positive adipogenic differentiation. Scale
bars: 250 μm. **: P < 0.01; *: P < 0.05; N = 3; n ≥ 100.
Discussion
While numerous studies have investigated the role of matrix stiffness
in mediating cell behavior on both 2D and 3D substrates, much less
is known about cell response to mechanics of ECM fibers.[43] In this study, we polymerized collagen at different
temperature (4, 21, and 37 °C), leading to gels with varying
physical properties, as previously shown.[31,44] In natural tissues, bulk stiffnesses range from several pascals
(Pa) to many kilopascals (kPa), while the stiffness of the protein
fibers of which these tissues are composed is often much higher, in
the megapascal (MPa) range.[17] In our gels,
we can engineer strongly different fiber stiffness while maintaining
bulk stiffness below 200 Pa by changing the polymerization temperature
without changing the density of collagen. As a result, we have a range
of gel substrates that mimic some of the different fibrillar structures
of the native ECM.These structural and mechanical differences
led us to investigate the effects of physical properties of fibrillar
microenvironment on cell behavior. hMSCs, an often-used cell type
for mechanotransduction studies,[2,45,46] were seeded at a relatively low cell density to observe cellular
responses (spreading, proliferation, migration, and differentiation)
that are primarily determined by the local ECM differences, keeping
the contribution of cell–cell interactions to a minimum. Several
earlier studies on synthetic hydrogels surfaces have shown a strong
correlation between hydrogel bulk stiffness and cell adhesion, spreading,
proliferation and differentiation.[1,7,47,48] In contrast, we found
that lower fiber stiffness permitted increased cell area, while stiff
fibers suppressed cell spreading. Our results are consistent with
Baker’s recent study, where fibers made from polymer materials
with lower-stiffness-enabled cells to remodel the surrounding matrix,
leading to a larger spreading.[14] In addition,
other research has shown that hMSC spreading, proliferation, and focal
adhesion formation are dependent on ligand density but not on the
fiber mechanics of hyaluronic acid hydrogels.[49] However, in that
study, the fiber stiffness ranged from 1.1 to 8.6 GPa, which is too
stiff for cells to recruit. In that case, cell behavior was indeed
only regulated by ligand density.We found that cell proliferation
on Col-37 was 1.7-fold higher than on Col-4 with same the collagen
density. On Col-37 gels, cells pulled and deformed the networks, resulting
in significant recruitment of fibers to the cell and the formation
of numerous densely compacted clusters of fibers, and this increased
collagen density around cells and long-range force transmission appears
to directly promote cell growth and spreading. Conversely, cells were
unable to remodel the Col-4 gels, as the short, stiff fibers were
unable to create long-range aligned structures upon cell traction
(Figure S1), leading to negligible overall
architectural remodeling, a low proliferation rate, and limited cell
spreading.These findings are in line with literature reports
that have highlighted that the role of ECM fibers in long-range force
transmission.[50−53] Despite these studies, little is known about the effect of fiber
mechanics on force transmission. Our study has shown that soft fiber
of collagen gel can facilitate long-range force transmission, while
cells on stiff fibers could not because the fiber is too stiff and
short. Due to limitations of fiber recruitment and force transmission,
the population of β-integrin and FAs undergoing retraction at
the leading edge were reduced. Via integrin-based adhesion sites,
cells can mechanically sense physical surroundings and adjust mechanisms
of migration[54,55] through the processes of protrusion,
adhesion, translocation, and retraction. Thus, on Col-4, because of
fewer FAs, the formation of leading edge protrusions was delayed.
The strongly remodeled collagen bundles formed in Col-37 clearly do
promote FAs formation and force transmission and guide cell migration
along the bundles.Numerous studies have demonstrated a strong
correlation between hydrogel stiffness and cell differentiation, where
stiff substrate promoted stem cells to differentiate into osteoblasts,
while cells on soft substrate preferentially differentiated toward
adipocytes.[1,2,56] However, in
our study, we used soft gels with bulk stiffness below 200 Pa and
found that more hMSCs differentiated toward osteoblasts on soft fibers
(Col-37 gels).
Conclusions
In this
study, we investigated how physical cues from the fibrillar microenvironment
of collagen gels influence cell behavior. We formed collagen gels
with different fibrillary architecture by polymerizing a constant
concentration of 3 mg/mL collagen at different temperatures. We find
that the ability of cells to remodel the gels is a major factor in
determining whether cells can spread, proliferate, and migrate on
these gels. Lower polymerization temperatures lead to shorter, thicker,
and stiffer collagen fibers that appear less able to reorganize over
larger length scales as the fibers lose connectivity upon reorganization
by cells. As a result, cells show much-slower spreading when compared
to gels with similar bulk stiffness but with longer, more-flexible
fibers that can be easily remodeled. These differences in adhesion
and spreading are also apparent in the much lower levels of focal
adhesions on gels consisting of short and stiff fibers, and cells
tend to differentiate toward adipocytes on these substrates. Our study
highlights the importance of a better understanding of the role of
fiber architecture of the natural ECM on cellular behavior.
Authors: Quanming Shi; Rajarshi P Ghosh; Hanna Engelke; Chris H Rycroft; Luke Cassereau; James A Sethian; Valerie M Weaver; Jan T Liphardt Journal: Proc Natl Acad Sci U S A Date: 2013-12-30 Impact factor: 11.205
Authors: Xiaoyue Ma; Maureen E Schickel; Mark D Stevenson; Alisha L Sarang-Sieminski; Keith J Gooch; Samir N Ghadiali; Richard T Hart Journal: Biophys J Date: 2013-04-02 Impact factor: 4.033
Authors: Sharona Even-Ram; Andrew D Doyle; Mary Anne Conti; Kazue Matsumoto; Robert S Adelstein; Kenneth M Yamada Journal: Nat Cell Biol Date: 2007-02-18 Impact factor: 28.824
Authors: Nathaniel Huebsch; Praveen R Arany; Angelo S Mao; Dmitry Shvartsman; Omar A Ali; Sidi A Bencherif; José Rivera-Feliciano; David J Mooney Journal: Nat Mater Date: 2010-04-25 Impact factor: 43.841
Authors: S K Ranamukhaarachchi; R N Modi; A Han; D O Velez; A Kumar; A J Engler; S I Fraley Journal: Biomater Sci Date: 2019-01-29 Impact factor: 6.843
Authors: Eesha Khare; Chi-Hua Yu; Constancio Gonzalez Obeso; Mario Milazzo; David L Kaplan; Markus J Buehler Journal: Proc Natl Acad Sci U S A Date: 2022-09-26 Impact factor: 12.779
Authors: Christopher D Davidson; Danica Kristen P Jayco; Daniel L Matera; Samuel J DePalma; Harrison L Hiraki; William Y Wang; Brendon M Baker Journal: Acta Biomater Date: 2020-01-13 Impact factor: 8.947
Authors: Lin-Ya Hu; Cassidy J Mileti; Taryn Loomis; Sarah E Brashear; Sarah Ahmad; Rosemary R Chellakudam; Ross P Wohlgemuth; Marissa A Gionet-Gonzales; J Kent Leach; Lucas R Smith Journal: Am J Physiol Cell Physiol Date: 2021-06-30 Impact factor: 5.282
Authors: Jonas F Eichinger; Lea J Haeusel; Daniel Paukner; Roland C Aydin; Jay D Humphrey; Christian J Cyron Journal: Biomech Model Mechanobiol Date: 2021-03-08