Bofan Zhu1, Wen Li, Randolph V Lewis, Carlo U Segre, Rong Wang. 1. Department of Biological and Chemical Sciences, ‡Department of Physics, Illinois Institute of Technology , Chicago, Illinois 60616, United States.
Abstract
Biocomposite matrices with high mechanical strength, high stability, and the ability to direct matrix-specific stem cell differentiation are essential for the reconstruction of lesioned tissues in tissue engineering and cell therapeutics. Toward this end, we used the electrospinning technique to fabricate well-aligned composite fibers from collagen and spider dragline silk protein, obtained from the milk of transgenic goats, mimicking the native extracellular matrix (ECM) on a similar scale. Collagen and the dragline silk proteins were found to mix homogeneously at all ratios in the electrospun (E-spun) fibers. As a result, the ultimate tensile strength and elasticity of the fibers increased monotonically with silk percentage, whereas the stretchability was slightly reduced. Strikingly, we found that the incorporation of silk proteins to collagen dramatically increased the matrix stability against excessive fiber swelling and shape deformation in cell culture medium. When human decidua parietalis placental stem cells (hdpPSCs) were seeded on the collagen-silk matrices, the matrices were found to support cell proliferation at a similar rate as that of the pure collagen matrix, but they provided cell adhesion with reduced strengths and induced cell polarization at varied levels. Matrices containing 15 and 30 wt % silk in collagen (CS15, CS30) were found to induce a level of neural differentiation comparable to that of pure collagen. In particular, CS15 matrix induced the highest extent of cell polarization and promoted the development of extended 1D neural filaments strictly in-line with the aligned fibers. Taking the increased mechanical strength and fiber stability into consideration, CS15 and CS30 E-spun fibers offer better alternatives to pure collagen fibers as scaffolds that can be potentially utilized in neural tissue repair and the development of future nanobiodevices.
Biocomposite matrices with high mechanical strength, high stability, and the ability to direct matrix-specific stem cell differentiation are essential for the reconstruction of lesioned tissues in tissue engineering and cell therapeutics. Toward this end, we used the electrospinning technique to fabricate well-aligned composite fibers from collagen and spider dragline silk protein, obtained from the milk of transgenic goats, mimicking the native extracellular matrix (ECM) on a similar scale. Collagen and the dragline silk proteins were found to mix homogeneously at all ratios in the electrospun (E-spun) fibers. As a result, the ultimate tensile strength and elasticity of the fibers increased monotonically with silk percentage, whereas the stretchability was slightly reduced. Strikingly, we found that the incorporation of silk proteins to collagen dramatically increased the matrix stability against excessive fiber swelling and shape deformation in cell culture medium. When human decidua parietalis placental stem cells (hdpPSCs) were seeded on the collagen-silk matrices, the matrices were found to support cell proliferation at a similar rate as that of the pure collagen matrix, but they provided cell adhesion with reduced strengths and induced cell polarization at varied levels. Matrices containing 15 and 30 wt % silk in collagen (CS15, CS30) were found to induce a level of neural differentiation comparable to that of pure collagen. In particular, CS15 matrix induced the highest extent of cell polarization and promoted the development of extended 1D neural filaments strictly in-line with the aligned fibers. Taking the increased mechanical strength and fiber stability into consideration, CS15 and CS30 E-spun fibers offer better alternatives to pure collagen fibers as scaffolds that can be potentially utilized in neural tissue repair and the development of future nanobiodevices.
Collagen represents
one of the most abundant structural proteins
that form the extracellular matrix (ECM) of vertebrates. As a biopolymer,
collagen has been frequently used as scaffolds for tissue engineering.[1−3] Collagen type I is the major component of tendon, skin, and artery
walls. It provides the mechanical stability for tissues and serves
as a functional environment for cells.[4,5] As an ECM protein,
collagen type I supports the attachment and growth of cells, particularly
many neuronal cell types.[6,7] Mediated by the collagen−β-1
integrin interaction, collagen type I is known to promote the neural
differentiation of stem cells in both neural differentiation medium[7,8] and spontaneous differentiation medium.[9,10]In vitro studies have shown that exogenous collagen type
I forms a network of interconnected fibers upon gelation, and the
self-assembly process results in random dimension, morphology, and
orientation of collagen fibers. Native fibrillar collagen type I is
typically aligned in parallel arrays in connective tissues, either
locally or extensively.[11−13] Such aligned matrices can provide
guidance for neural cell migration and directional axonal regeneration,
which is a key engineering target for neural repair.[14] It is highly desirable to construct aligned collagen fibers
to mimic the native tissue environment for in vitro studies.Electrospinning has been applied to the fabrication
of polymer
and protein fibers with architectures similar to those naturally occurring
in the extracellular environment.[15] It
is remarkably efficient, inexpensive, and allows easy incorporation
of additional components to make composite fibers.[16] In this work, by using a home-built electrospinning system,
we were able to fabricate unidirectionally aligned collagen fibers
with controllable diameters, uniform morphology, and high surface
coverage. The home-built system uses parallel metal plates to collect
freestanding fibers, which can be directly used for mechanical tests
or easily transferred to desired substrates for cross-linking, characterization,
sterilization, and cell culture applications.It was reported
that an as-prepared collagen matrix is weak and
unstable for long-term cell culture and thus is not a desirable scaffold
for tissue engineering.[17] We had similar
observations in our previous work. A high extent of cross-linking in vitro can make collagen fibers physically stronger and
more stable but was discovered to affect cell adhesion.[18] Spider silk is a promising biopolymer with remarkable
tensile strength and superior elasticity. Among seven types of silk
produced by the golden orb weaver spider Nephila clavipes, dragline silk is the strongest due to its main composition of major
ampullate spidroins 1 and major ampullate spidroins 2 (MaSp 1 and
MaSp 2).[19] The coexistence of an alanine-rich
motif (highly organized β-sheet crystalline domain) and a glycine-rich
motif (amorphous matrix) in dragline silk renders a unique combination
of high tensile strength and extensibility.[20] The native dragline silk has Young’s modulus and ultimate
tensile strength of 22 and 1.1 GPa, respectively,[21] in comparison to 1.2 and 0.12 GPa for native collagen fibers.[22,23] However, unlike collagen, silk proteins are not ECM proteins; accordingly,
they do not adequately support cell adhesion, growth, and differentiation.
To create mechanically strong, stable, and biocompatible matrices,
we integrated collagen with MaSp1 and MaSp2 proteins, which were extracted
and purified from the milk of transgenic goats.[24] While silk fibroin is also a good candidate for generating
collagen–silk biocomposite scaffolds to achieve improved fiber
stability[25] and to support cell adhesion
and proliferation,[26] the composite fibers
are mechanically weak, with a tensile strength of less than 2 MPa.[26] The tensile strength of the collagen–dragline
silk composite fibers in this study is 10 to 100 times higher. Collagen
and dragline silk proteins were mixed at various ratios, electro-spun
(E-spun), and lightly cross-linked to form composite fibers. In addition
to biocompatibility studies, the unidirectional aligned collagen–dragline
silk composite fibers were applied as a matrix to examining the stem
cell differentiation.We used human decidua parietalis placental
stem cell (hdpPSC) as
a model system in this study. hdpPSCs are multipotent adult stem cells
derived from the maternal side of human placenta. They are robust,
easily derived, and preferable for in vitro studies
and clinical therapies.[27,28] The unidirectionally
aligned scaffolds of collagen-dominant composites were found to provide
unique structural, mechanical, and biochemical cues to direct stem
cell polarization and neural differentiation, to facilitate the development
of long neural filaments, and to orient the neural filaments along
the fibers. They offer potential solutions for transplantation in
cellular replacement therapies for neurodegenerative disorders such
as Alzheimer’s and Parkinson’s diseases,[9] and they open a new avenue for neural tissue engineering
and fabrication of future nanobiodevices.[14,29]
Experimental Section
Materials
Collagen
type I from calf skin was purchased
from MP Biomedicals (Solon, OH). Major ampullate spidroin proteins
1 and 2 (MaSp 1 and MaSp 2) of dragline spider silk were extracted
from the milk of transgenic goats and analyzed by SDS-PAGE and western
blot, with purities higher than 95%.[30]The silk proteins were mixed at a MaSp1/MaSp2 ratio of 4:1 to obtain
optimized mechanical properties.[24] Collagen
and silk proteins were dissolved in 1,1,1,3,3,3-hexafluoro-2-propanol
(HFIP) (Fisher Scientific, Pittsburgh, PA) separately, and the solutions
of collagen and silk protein were mixed to make solutions containing
silk at 0% (pure collagen), 15% (CS15), 30% (CS30), 60% (CS60), and
100% (pure silk). The total protein content was maintained at 100
mg/mL in all protein solutions.
Home-Built Electrospinning
System for Collecting Freestanding
Fibers
A home-built electrospinning system (see Figure S1) was used in this study to fabricate
freestanding collagen-silk composite fibers. A 0.2 mL protein solution
was placed in a 1.0 mL syringe with an 18-gauge blunt needle (Fisher
Scientific, Pittsburgh, PA) to produce continuous microfibers. A voltage
of 15–25 kV was applied to the metal needle by a high-voltage
power supply (Glassman High Voltage, High Bridge, NJ). A syringe pump
(Harvard Bioscience Inc., Holliston, MA) was used to deliver the protein
solution at a constant flow rate. Two parallel metal plates were grounded
and placed 6–10 mm apart and 10–20 cm below the needle,
serving as the collector of protein fibers. Due to the electrostatic
interactions, the E-spun fibers were aligned and stretched across
the two plates.[31,32] Fiber density can be controlled
by varying the collection time. A collection time of 30 s was chosen
in this study to achieve a relatively low fiber density, allowing
a cell to adhere to an individual fiber for effective cell polarization,
differentiation, and the development of long filament unidirectionally.
Electrospinning parameters, such as electric potential, air gap distance,
delivery rate, and collector gap, were optimized to achieve well-aligned,
uniform fibers with high surface coverage. The parameters used in
this study are listed in Table 1. The freestanding
fibers were collected directly on pre-cut frames (made from aluminum
foil) for mechanical tests or transferred onto pre-cut glass slides
for microscopic characterization and cell culture. Prior to any test,
the fibers were cross-linked by exposing to glutaraldehyde (20% v/v,
Fisher Scientific, Pittsburgh, PA) vapor for 12 h at room temperature.
Fibers for cell culture were sterilized by 70% (v/v) ethanol and an
overnight UV treatment.
Table 1
Electrospinning Parameters
for the
Preparation of Collagen–Silk Composite Fibers
protein composition
collagen and silk
solution concentration
100 mg/mL
electric potential
25 kV
air gap distance
150 mm
delivery rate
5 mL/h
gap of collector
8 mm/10 mm
collection time
30 s
needle gauge
18 G blunt
Atomic Force
Microscopic (AFM) Imaging
Imaging was
carried out by using a multimode Nanoscope IIIa AFM (Veeco Metrology,
Santa Barbara, CA) equipped with a J-scanner. Images of various E-spun
fibers were collected in fluid-tapping mode in PBS buffer using Si3N4 tips (K-Tek Nanotechnology, Wilsonville, OR)
at a frequency of 8–10 kHz. From obtained images, the width
and height of the five types of fibers (collagen, CS15, CS30, CS60,
and silk) were analyzed using NanoScope Analysis software. The cross-sectional
area of these fibers was evaluated on the basis of cross-sectional
analysis (Figure S2). For statistical analysis,
20–30 fibers were analyzed on each sample, and more than 20
samples were examined for each fiber type.
Mechanical Testing
Mechanical properties of E-spun
fibers were examined by stress–strain analysis using a MTS
Synergie 100 system (Test Resources Inc., Shakopee, MN). Fibers were
collected on a pre-cut, U-shaped frame of aluminum foil that covered
the grounded, parallel metal plates serving as the fiber collectors.
The two long sides (4 cm long) of the U-shaped frame were 10 mm apart.
An array of aligned fibers were collected on the frame across the
gap and were glued at the edge of the frame. After cross-linking,
disordered and nonuniform fibers, typically away from the center of
the matrix, were carefully removed, leaving 2 cm wide, uniformly distributed,
unidirectionally aligned fiber arrays at the center of the frame.
Optical images (20×) were collected along the long side of the
frame at both edges to count the number of fibers per unit width of
the matrix. After the frame was loaded on the test machine and the
narrow side of the frame was cut, fibers spanning across the 10 mm
gap were stretched along the fiber direction at a rate of 1 mm/min.
Load vs stretching displacement curves were collected at a data acquisition
rate of 120 Hz. From each curve of fiber type i,
the maximum loading force (F) and the stretching distance at the fracture point (Δx) were recorded,
and the ultimate tensile strength (σ) and ultimate strain (ε)
were then calculated by the equations belowandwhere S is the average cross-sectional
area of fiber type i predetermined by AFM measurements
(Figure S2), n is the number of fibers per unit width of the matrix
measured from
optical images, l (2 cm) is the width of the matrix
(perpendicular to the fiber alignment) subjected to the mechanical
test, and X (1 cm) is the length of the tested fibers.
The denominator of eq 1, S·n·l, is equivalent to the cross-sectional
area of the tested fiber matrix. Young’s modulus, E, as the ratio of tensile strength and tensile strain in the elastic
deformation range,[33] can be calculated
from the slope (k) of
the linear portion of a load vs displacement curve using the equation
belowMore than 25 measurements were conducted
under the same conditions for each fiber type for statistical analysis.
Infrared Spectroscopy
Infrared spectra of E-spun fibers
were collected using a Thermo Nicolet Nexus 470 FTIR Spectrometer
(Thermo Electron Co., Madison, WI). E-spun fibers were similarly collected
on pre-cut aluminum frames under the same E-spin conditions mentioned
above. After overnight drying in a vacuum desiccator, the frame with
fibers was loaded onto the sample holder. Fibers at the gap region
were exposed to the IR beam and were scanned directly in the range
of 400–4000 cm–1 with a nominal resolution
of 4 cm–1.
Cell Culture of hdpPSCs on Various Matrices
Undifferentiated
hdpPSCs were kindly provided by Dr. Zuzana Strakova (UIC, Chicago,
IL).[34] The cells were maintained in a self-renewal
state in phenol red-free RPMI-1640 medium (Invitrogen, Carlsbad, CA)
supplemented with 0.1 mM sodium pyruvate, 100 U/mL penicillin–streptomycin
(Sigma-Aldrich, St. Louis, MO), and 10% charcoal-stripped fetal bovine
serum (S-FBS).Prior to cell culture, the sterilized E-spun
matrices were placed in a 24-well culture plate, and a sterilized
glass slide without fibers was used as a control. Undifferentiated
hdpPSC cells at passages 3–5 were then trypsinized and seeded
at a density of 2000 cells/cm2 on various matrices in a
nonselective, spontaneous differentiation medium of Dulbecco’s
modified Eagle’s medium (DMEM) supplemented with 10% fetal
bovine serum and 1% nonessential amino acids.[9] The medium was changed every other day.
Optical Imaging
Fiber alignment and surface coverage
were analyzed by a Nikon TE 2000-U microscope. Collagen’s autofluorescence
allows the examination of collagen expression level. Collagen expression
was also studied by immunostaining with rabbit anti-collagen type
I (Abcam, Cambridge, MA, 1:200 dilution).The expressions of
nestin, β-III tubulin, and NeuN in cells on various matrices
were examined at days 1, 3, and 5 of cell differentiation. β-1
integrin expression was examined at 6 and 12 h post-plating to study
cell adhesion. In each experiment, the cells were fixed by 4% paraformaldehyde
for 10 min at room temperature and permeabilized with 0.1% Triton
X-100 in PBS for 10 min. The cells were then blocked with 1% BSA in
PBST (PBS with 0.5% Tween-20) for 1 h before overnight incubation
with primary antibodies at 4 °C. Primary antibodies used in this
study include rabbit anti-integrin β-1 (Santa Cruz Biotechnology,
Dallas, TX, 1:100 dilution), mouse anti-nestin (Millipore, Billerica,
MA, 1:200 dilution), rabbit anti-β-III tubulin (Abcam, Cambridge,
MA, 1:200 dilution), and mouse anti-NeuN (Millipore, Temecula, CA,
1:100 dilution). Secondary antibodies were purchased from Invitrogen
(Carlsbad, CA) and used at a dilution of 1:200. The nuclei were stained
with DAPI at a 1:1000 dilution for 10 min at room temperature. The
exposure time and gain value were kept constant for each marker across
all samples, and a negative control was performed by excluding the
primary antibody during the staining protocol for each set of experiments.The immunofluorescent images were quantitatively analyzed by ImageJ
software. Constant image size, magnification, and imaging parameters
were used for all measurements, and the background was subtracted
for fluorescence intensity measurements. The positive cells were defined
as cells with fluorescence intensity three times or more above the
background level.
Cell Proliferation and Polarization Studies
The proliferation
of hdpPSCs on E-spun fibers was examined by collecting fluorescent
images of cells cultured on each matrix type at days 1, 3, 5, and
7. Cell number per unit area was counted on the basis of DAPI staining
on more than 20 images (4×) for each matrix type.The change
of hdpPSC morphology was monitored during cell differentiation between
0 h and 5 days. Cell length and cell area at each time point were
measured from 20× phase-contrast images using ImageJ software.
The effective cell width was determined using the ratio of cell area
to cell length. Cell polarity was then characterized by the cell length-to-width
ratio
Trypsin De-adhesion Assay
hdpPSCs
after 6 and 12 h
culture in nonselective differentiation medium were washed with PBS
and placed under the optical microscope. After 100 μL of 0.05%
trypsin–EDTA (Invitrogen, Carlsbad, CA) was added to the cells,
20× images were taken in situ every 15 s to
monitor the reduction in cell–substrate contact area until
no change was detectible. The change in the contact area with time
was plotted, and the earliest saturation time was derived. The normalized
area, Anormalized, is defined as the ratio
of the change in area from initial time point to the given time (Ainit – A) and the total change in area (Ainit – Afinal). In
the dynamic de-adhesion process, Anormalized varies from 0 to 1, and the Anormalized vs time curve was then fit to the Boltzmann sigmoid equation below[35,36]where t is a given time point
and t0.5 and τ are the time constants. t0.5 represents the time point when the area
change is 50% of the total area reduction, which is used in this study
to quantify the strength of cell adhesion.
Results
Characterization
of Physical Properties of Collagen–Silk
Composite Fibers
Collagen can be monitored by its strong
autofluorescence. Figure 1 shows the bright
field and autofluorescence images of pure collagen fibers, collagen-silk
composite fibers with 30% silk (CS30) and 60% silk proteins (CS60),
and pure silk fibers. The intensity of collagen autofluorescence is
uniform within each fiber and decreases in accordance with the reduction
of collagen percentage (12.2, 8.5, 4.8, and 1.8 au for collagen, CS30,
CS60, and silk, respectively). This suggests a homogeneous blending
of collagen and silk protein at all ratios in a composite fiber. We
also performed immunofluorescence staining for collagen type I and
obtained similar results (see Figure S3), confirming the homogeneous integration between silk and collagen
in the fibers. Silk fibers showed less alignment than collagen and
collagen-composite fibers, likely due to the lower viscosity of the
silk protein solution.
Figure 1
Bright field and autofluorescence images illustrating
aligned E-spun
fibers. Collagen (A, E), CS30 (B, F), CS60 (C, G), and silk (D, H)
represent fibers with 0, 30, 60, and 100% (w/w) silk in collagen,
respectively. The black arrows indicate the direction of fiber alignment.
Bar size: 100 μm.
Bright field and autofluorescence images illustrating
aligned E-spun
fibers. Collagen (A, E), CS30 (B, F), CS60 (C, G), and silk (D, H)
represent fibers with 0, 30, 60, and 100% (w/w) silk in collagen,
respectively. The black arrows indicate the direction of fiber alignment.
Bar size: 100 μm.Figure 2A–E shows AFM images
of fibers
of pure collagen, CS15, CS30, CS60, and pure silk. At a fixed total
protein concentration of 100 mg/mL, with the increase in silk protein
percentage, the fiber density increases, accompanied by a decrease
in fiber width. Fiber width and width distribution of the five fiber
types are summarized in Figure 2F–J.
All fibers, regardless of the fiber type, exhibit uniform width along
a fiber, and each type of fiber has a narrow width distribution. Fibers
with a narrow width distribution are desirable, as they offer comparable
morphological cues from individual fibers to support collective cell
development. Splay fibers were occasionally observed for each fiber
type. The occurrence is attributed to the split of the primary jet
during its traveling from the needle tip to the collector.[37,38]
Figure 2
(A–E)
AFM images of collagen (A), CS15 (B), CS30 (C), CS60
(D), and silk (E) fibers illustrating the fiber morphology. The black
arrows indicate the fiber orientation. The white arrows highlight
the splay fibers. (F–J) Fiber width distribution of the five
fiber types. The width was measured from AFM images of 20–30
fibers per sample and more than 20 samples for each type of fibers.
(A–E)
AFM images of collagen (A), CS15 (B), CS30 (C), CS60
(D), and silk (E) fibers illustrating the fiber morphology. The black
arrows indicate the fiber orientation. The white arrows highlight
the splay fibers. (F–J) Fiber width distribution of the five
fiber types. The width was measured from AFM images of 20–30
fibers per sample and more than 20 samples for each type of fibers.Light cross-linking was applied
by glutaraldehyde vapor treatment
to stabilize the fibers and to induce the formation of β-sheet
of silk proteins.[25,39] Changes in the secondary structure
of silk proteins before and after cross-linking the E-spun fibers
were characterized by FTIR spectra at the amide I and amide II regions.
The amide I band is mainly associated with the stretching vibrations
of the carbonyl group along the polypeptide backbone and is a sensitive
marker for the secondary structure of proteins.[40,41] As shown in Figure 3, for pure collagen fibers,
amide I and amide II bands are centered at 1640 and 1528 cm–1, respectively, and are essentially unchanged after the treatment.
The 1640 cm–1 band is characteristic of the triple
helix of native collagen.[42−45] Its presence suggests the existence of the triple
helical structures in the E-spun fibers. In silk incorporated fibers
(CS30, CS60, and pure silk), amide I and amide II bands appear at
∼1653 and ∼1539 cm–1 before the cross-linking,
suggesting a dominant random coil conformation of silk proteins;[46,47] however, shoulder peaks of 1630 and 1524 cm–1 appear
after the cross-linking, and they become more intense with the increase
of silk percentage in the composite fibers. The FTIR peaks at 1630
and 1524 cm–1 are characteristic of β-sheet
conformation in silk proteins.[48−50] The FTIR spectrum of native dragline
silk of N. clavipes was also collected,
and it showed similar spectral features of the amide I and amide II
bands as those of cross-linked E-spun silk fibers (Figure S4). The results suggest that the glutaraldehyde vapor
treatment of E-spun fibers induced an apparent secondary structural
transition from a random coil conformation to a β-sheet conformation
of silk proteins. It is anticipated that the β-sheet structure
of silk will enhance the mechanical strength of collagen–silk
composite fibers.
Figure 3
Normalized FTIR spectra of E-spun collagen–silk
fibers before
(blue) and after (red) glutaraldehyde vapor treatment: (A) pure collagen,
(B) CS30, (C) CS60, and (D) pure silk.
Normalized FTIR spectra of E-spun collagen–silk
fibers before
(blue) and after (red) glutaraldehyde vapor treatment: (A) pure collagen,
(B) CS30, (C) CS60, and (D) pure silk.The mechanical properties of E-spun fibers were characterized
by
stress–strain tests. As shown in Figure 4, both the ultimate tensile strength and the Young’s modulus
increased monotonically with silk percentage, ranging from 40 to 182
MPa and from 0.58 to 4.45 GPa, respectively. Meanwhile, the stretchability
(ultimate strain) declined slightly from 12.1% for pure collagen to
5.6% for pure silk proteins. Evidently, the incorporation of silk
greatly enhanced the mechanical strength of the collagen fibers, and
the mechanical properties can be tuned in a marked range in a silk
concentration-dependent manner.
Figure 4
Variation of biomechanical properties
with silk percentage in E-spun
fibers. (A) Variation in ultimate tensile strength (blue) and ultimate
strain (red); (B) variation in Young’s modulus (green). The
dashed lines represent the linear fitting of the experimental data.
Error bars indicate standard deviation.
Variation of biomechanical properties
with silk percentage in E-spun
fibers. (A) Variation in ultimate tensile strength (blue) and ultimate
strain (red); (B) variation in Young’s modulus (green). The
dashed lines represent the linear fitting of the experimental data.
Error bars indicate standard deviation.To be used as a tissue-engineering scaffold, a matrix must
remain
stable in cell culture medium over a sufficiently long period of time.
To characterize fiber stability, we monitored the changes in fiber
morphology after incubation of the fibers in cell culture medium from
2 h to 7 days. As shown in the AFM images in Figure 5, dry fibers of different types had similar height but different
width. A 2 h incubation in medium resulted in dramatic changes in
all types of fibers. The mean cross-sectional area of pure collagen
fibers increased by 80%, whereas the increases were much less in other
fiber types: 49% for CS15, 44% for CS30, 41% for CS60, and 9.6% for
pure silk. While both the width increase and the height increase were
accountable for the increase in the fiber cross-sectional area, the
increase in fiber height was more dramatic. Presumably, the dry fibers
were relatively flat on the support substrates. A 2 h incubation in
medium caused the fibers to swell when they took up water, and the
expansion in the direction perpendicular to the substrate is more
energetically favorable than a horizontal expansion due to the adhesion
between the fiber and the substrate. We observed a rapid increase
in fiber cross-sectional area until day 1, and the change became negligible
on days 3 and 7 in all types of fibers (p > 0.1).
Interestingly, while the cross-sectional area of pure collagen fibers
barely changed from days 3 to 7 (p > 0.1), the
fiber
width increased by 21.7% (p < 0.01), whereas the
height dropped by 21.5% (p < 0.05). Meanwhile,
most pure collagen fibers at day 7 curled and differed significantly
from the orderly aligned straight and smooth fiber morphology (Figure 5C). In composite fibers and pure silk fibers, however,
variations in fiber width, height, and cross-sectional area were less
significant within the same time frame, and the fibers retained well-aligned
and straight fiber morphology with only slight variations (Figure 5F). Thus, the integration of collagen with silk
greatly enhanced the fiber stability and the composite fibers displayed
better dissolution resistance against the aqueous cell culture system.
Figure 5
Fiber
stability characterized by AFM. (A–C) AFM images of
E-spun collagen fibers before (A) and after 2 h (B) and 7 days (C)
of incubation in cell culture medium. (D–F) AFM images of E-spun
CS30 fibers before (A) and after 2 h (B) and 7 days (C) of incubation
in cell culture medium. (G–I) Mean fiber width (G), height
(H), and cross-sectional area (I) of the five fiber types derived
from AFM images collected at 0 to 7 days incubation in cell culture
medium. Error bars indicate standard deviation. Statistical analysis:
dry fibers, *p < 0.01 vs pure silk fibers; pairwise
comparison: *p < 0.01 and **p < 0.05.
Fiber
stability characterized by AFM. (A–C) AFM images of
E-spun collagen fibers before (A) and after 2 h (B) and 7 days (C)
of incubation in cell culture medium. (D–F) AFM images of E-spun
CS30 fibers before (A) and after 2 h (B) and 7 days (C) of incubation
in cell culture medium. (G–I) Mean fiber width (G), height
(H), and cross-sectional area (I) of the five fiber types derived
from AFM images collected at 0 to 7 days incubation in cell culture
medium. Error bars indicate standard deviation. Statistical analysis:
dry fibers, *p < 0.01 vs pure silk fibers; pairwise
comparison: *p < 0.01 and **p < 0.05.
Cell Adhesion to Composite
Fibers
Matrix adhesion is
essential for cell attachment. It plays an important role in regulating
cell differentiation. By optical imaging, we monitored the attachment
of hdpPSCs on the E-spun fibers in the initial 12 h of culture. As
shown in Figure 6A, on collagen-dominant matrices,
most hdpPSCs promptly adhered to and spread along E-spun fibers within
6 h post-plating. On a glass substrate and silk protein-dominant matrices,
however, most hdpPSCs retained a rounded shape even at 12 h post-plating.
By day 1 (data not shown), hdpPSCs on glass, CS60, and silk matrices
showed a lower cell density and smaller cell areas than those on collagen,
CS15, and CS30 matrices. The results imply that cell attachment to
silk is weaker than to collagen.
Figure 6
Characterization of cell adhesion to various
matrices. (A) Change
in hdpPSCs morphology on various matrices at 0, 6, and 12 h post-plating.
The red and blue arrows indicate the elongated and rounded cells,
respectively. (B) De-adhesion time constant (t0.5) at 12 h post-plating evaluated by a trypsin de-adhesion
assay. (C) Mean intensity of β-1 integrin expression in cells
at 12 h post-plating, derived from immunofluorescent images. Bar size:
100 μm. Pairwise comparison: *p < 0.01 and
**p < 0.05. p > 0.1 for de-adhesion
time between collagen and CS15. Error bars indicate standard deviation.
Characterization of cell adhesion to various
matrices. (A) Change
in hdpPSCs morphology on various matrices at 0, 6, and 12 h post-plating.
The red and blue arrows indicate the elongated and rounded cells,
respectively. (B) De-adhesion time constant (t0.5) at 12 h post-plating evaluated by a trypsin de-adhesion
assay. (C) Mean intensity of β-1 integrin expression in cells
at 12 h post-plating, derived from immunofluorescent images. Bar size:
100 μm. Pairwise comparison: *p < 0.01 and
**p < 0.05. p > 0.1 for de-adhesion
time between collagen and CS15. Error bars indicate standard deviation.In order to evaluate the strength
of cell–matrix adhesion
on various E-spun fibers, a trypsin de-adhesion assay was carried
out for cells at 12 h post-plating. Upon trypsinization, cells shrank
over time until the steady, equilibrium state was reached (Figure S5). The time constant, t0.5, was derived from a time-dependent de-adhesion curve
to quantify the strength of cell adhesion. As shown in Figure 6B, the time constant is much longer on collagen,
CS15, and CS30 than on CS60, silk, and glass, implying slower detachment
processes and consequently stronger cell adhesion on the collagen-dominant
matrices. This is consistent with the observations in Figure 6A.Considering that β-1 integrin is
the collagen type I binding
receptor on cell membranes and mediates cell–matrix adhesion,
we quantified the β-1 integrin expression level in cells on
various matrices at 12 h post-plating (Figure 6C). In agreement with the result of trypsin de-adhesion assay, higher
expression levels of β-1 integrin were observed in cells on
collagen and collagen-dominant matrices, whereas the expression level
dropped with the collagen percentage in composite fibers. Thus, cells
responded to the matrix composition by secreting different levels
of β-1 integrin, which is attributable to the variation in cell–matrix
adhesion. One exception was that cells on CS15 showed a decreased
level of β-1 integrin expression (p < 0.01)
but a similar level of cell adhesion (p > 0.1)
as
compared to that of cells on pure collagen. This is associated with
the higher level of cell polarization and the development of longer
filaments on CS15 (to be delineated in the Discussion section).
Cell Proliferation and Polarization on Composite
Fibers
Cell proliferation was profiled on various matrices.
As shown in
Figure 7, the cell density is higher on collagen-dominant
matrices than on the control and silk protein-dominant matrices over
the entire period of time for cell culture. By day 1, the cell density
on collagen, CS15, and CS30 increased by 40, 32, and 18%, respectively,
but remained nearly constant on CS60 and decreased by 20 and 28% on
glass and silk matrices, respectively. Later, the rate of cell proliferation
increased on all matrices. By day 5, the proliferation rate plateaued
on collagen and collagen-silk composite matrices, whereas on glass
and silk, it kept increasing until day 7. When the growth rate was
evaluated in the logarithmic phase, the doubling time of hdpPSCs was
found to range narrowly between 39 and 47 h for cells on various matrices.
This implies that all five fiber types support cell proliferation
at a similar rate and that the difference in matrix adhesion is attributed
to the difference in initial cell density on various matrices.
Figure 7
Characterization
of hdpPSC proliferation on various matrices. (A)
Increase in cell density with culture time; (B) change in cell density
with time derived from panel A. The cell number per unit area was
counted on the basis of DAPI staining on more than 20 images for each
matrix type at each time point. Statistical analysis: *p < 0.01 for collagen, CS15, and CS30 vs glass on day 1; *p < 0.05 for CS60 vs glass on day 1; **p > 0.1 for all matrices vs glass on days 5 and 7. Error bars indicate
standard deviation.
Characterization
of hdpPSC proliferation on various matrices. (A)
Increase in cell density with culture time; (B) change in cell density
with time derived from panel A. The cell number per unit area was
counted on the basis of DAPI staining on more than 20 images for each
matrix type at each time point. Statistical analysis: *p < 0.01 for collagen, CS15, and CS30 vs glass on day 1; *p < 0.05 for CS60 vs glass on day 1; **p > 0.1 for all matrices vs glass on days 5 and 7. Error bars indicate
standard deviation.With the unidirectionally
aligned fibers, cells were polarized
along the fibers (Figure 6A). At 6 h post-plating,
most of the cells on collagen, CS15, and CS30 fibers showed a spindle
shape. By 12 h, these cells elongated along the E-spun fibers and
developed a bipolar neuro-epithelial like morphology. By day 1, the
cells further polarized and displayed small cell bodies and long filaments
along the aligned fibers. On CS60 and silk matrices, cells polarized
less and more slowly; about half of the cells retained a rounded shape
until 8 h (CS60) and 24 h (silk) post-plating. Cells grown on glass
displayed a rounded shape until 6 h post-plating. They developed polygonal
cell morphologies and spread along random directions in a longer term
of culture.Cell polarization was quantified by measuring the
length and the
projection area of cells using the ImageJ software. As shown in Figure 8A, the mean cell length of irregularly shaped cells
on a glass substrate is 62 μm after 24 h of cell culture. On
a collagen matrix, most cells started to elongate within 2 h post-plating
and developed long filaments along the fiber by 24 h (a mean cell
length of 226 μm). On CS15 and CS30, cells elongated as fast
as those on collagen. By day 5, the length of cells on CS15 exceeded
those on any other matrices, and some cells displayed filaments as
long as 345 μm. On silk-dominant matrices (CS60 and silk), cells
started to spread earlier than on glass substrates, but the cells
did not grow as long as those on collagen, CS15 and CS30. Cell polarization
is better characterized by the cell length-to-width ratio, and the
calculated results are shown in Figure 8B.
The ratio increases rapidly in the first 24 h of culture on collagen,
CS15, CS30, and CS60 and continuously increases at a reduced rate
until day 3. The highest length-to-width ratio was obtained on CS15
at day 3, which is 20% higher than the ratio on pure collagen at the
same time point (p < 0.01). After day 3, no statistically
significant changes were observed. The length-to-width ratio of cells
on pure silk was remarkably lower than that on collagen and composite
fibers, but it is higher than that on glass. These results suggest
that all of the E-spun composite fibers promoted cell polarization,
albeit to a different extent, and that cells grown on the composite
fibers experienced an earlier and faster polarization than those on
pure silk and glass substrates. CS15 surpassed the performance of
any other fiber type and induced the extended 1D development of cell
filaments.
Figure 8
Characterization of cell polarization on various matrices. (A)
Cell length was measured from bright-field images collected on various
matrices at different time points. By day 5 of differentiation, the
mean cell length for cells on CS15 is significantly longer than that
on both collagen and CS30 (*p < 0.01). (B) Cell
length-to-width ratio was derived from the cell length and the cell
area for cells grown on each type of fiber and at each time point.
The inset in panel B highlights the cell polarization in the initial
12 h of culture. Error bars indicate standard deviation.
Characterization of cell polarization on various matrices. (A)
Cell length was measured from bright-field images collected on various
matrices at different time points. By day 5 of differentiation, the
mean cell length for cells on CS15 is significantly longer than that
on both collagen and CS30 (*p < 0.01). (B) Cell
length-to-width ratio was derived from the cell length and the cell
area for cells grown on each type of fiber and at each time point.
The inset in panel B highlights the cell polarization in the initial
12 h of culture. Error bars indicate standard deviation.
Matrix Directed Neural Differentiation
Collagen type
I is known to support neural differentiation of stem cells. The aligned
matrices provide the combined biophysical and biochemical cues for
cell polarization and differentiation and are expected to promote
neural differentiation of stem cells. Nestin is an intermediate filament
protein and is expressed at a high level by neural precursors.[51] β-III tubulin is a neuron-specific isoform
expressed by immature neurons and outgrowth neurites.[52] Expressions of nestin and β-III tubulin were examined
to investigate the neural commitment and further differentiation of
hdpPSCs on various matrices (Figure 9). The
bipolar-shaped cells on collagen-dominant matrices expressed nestin
at a higher level than that of the polygonal-shaped cells on glass
and silk. Note that the autofluorescence of collagen (green) is negligible
when compared with the strong fluorescence from the secondary antibody;
thus, it fell below the background level in the characterization of
nestin expression (green). β-III tubulin expression (red) demonstrated
a similar pattern. The long filaments of cells are shown to match
the aligned fibers exactly, as illustrated by the autofluorescence
of collagen that was intentionally adjusted to be visible in this
case. The expression levels of both nestin and β-III tubulin
showed similar profiles as that of the mean cell length (Figure 8A). Notably, while the β-III tubulin expression
level increased with time on all matrices, the increase of nestin
expression on collagen, CS15, and CS30 stalled by day 3. This suggests
that hdpPSCs on these matrices have committed to neural lineage and
that they more rapidly transited to progenitor phenotypes than did
cells on CS60, silk, and the control glass substrates.
Figure 9
hdpPSC differentiation
profile on various matrices. (A) Immunofluorescent
images showing β-III-tubulin positive cells (red) and nestin
positive cells (green) at day 1 of differentiation. DAPI staining
(blue) illustrates the nuclei of cells. The autofluorescence of collagen
(green) is shown in β-III-tubulin (red) staining images to illustrate
the relative location between cells and the fibers. Bar size: 100
μm. (B, C) Percentage of nestin positive cells (B) and β-III-tubulin
positive cells (C) on various matrices at days 1, 3, and 5 of differentiation.
Pairwise comparison: *p < 0.01 and **p < 0.05. Error bars indicate standard deviation.
hdpPSC differentiation
profile on various matrices. (A) Immunofluorescent
images showing β-III-tubulin positive cells (red) and nestin
positive cells (green) at day 1 of differentiation. DAPI staining
(blue) illustrates the nuclei of cells. The autofluorescence of collagen
(green) is shown in β-III-tubulin (red) staining images to illustrate
the relative location between cells and the fibers. Bar size: 100
μm. (B, C) Percentage of nestin positive cells (B) and β-III-tubulin
positive cells (C) on various matrices at days 1, 3, and 5 of differentiation.
Pairwise comparison: *p < 0.01 and **p < 0.05. Error bars indicate standard deviation.Neural progenitors have the ability to further
differentiate toward
more mature neural cells. The expression of NeuN, a marker of neural
progenitors and mature neurons,[53] was examined
at days 1, 3, and 5 of differentiation (Figure 10). At day 1, only on collagen, CS15, and CS30 were we able to observe
a few positively stained cells. NeuN-positive cells were observed
on all types of matrices by day 3 of differentiation, and the percentage
of positive cells continuously increased over the 5 days of cell culture.
By day 5, the percentage of NeuN positive cells was 53, 56, 47, 33,
13, and 12% on pure collagen, CS15, CS30, CS60, silk, and glass, respectively.
The result suggests that by day 5 more cells on collagen, CS15, and
CS30 developed into mature neural cells, while cells on other matrices
lagged behind. CS15 promoted neural differentiation at the same or
slightly higher level when compared to that on pure collagen and CS30,
and it outperformed any other matrices in inducing the development
of long neural filaments.
Figure 10
hdpPSC maturation on various matrices by day
5 of differentiation.
(A) Immunofluorescent images illustrating NeuN (red) positive cells
co-staining with nestin (green) on CS15 matrix at day 3 of differentiation.
The yellow arrow demonstrates a cell with the typical neural progenitor
cell shape, revealing the long filament, a small cell body, and dendrites.
(B) ImageJ quantification of the percentage of NueN positive cells
at days 1, 3, and 5 of differentiation. t-test analysis
revealed that the difference in NeuN expression for cells on CS15
and CS30 is significant (p < 0.05); the difference
for cells on collagen and CS15 is moderately significant (p < 0.1). Error bars indicate standard deviation.
hdpPSC maturation on various matrices by day
5 of differentiation.
(A) Immunofluorescent images illustrating NeuN (red) positive cells
co-staining with nestin (green) on CS15 matrix at day 3 of differentiation.
The yellow arrow demonstrates a cell with the typical neural progenitor
cell shape, revealing the long filament, a small cell body, and dendrites.
(B) ImageJ quantification of the percentage of NueN positive cells
at days 1, 3, and 5 of differentiation. t-test analysis
revealed that the difference in NeuN expression for cells on CS15
and CS30 is significant (p < 0.05); the difference
for cells on collagen and CS15 is moderately significant (p < 0.1). Error bars indicate standard deviation.
Discussion
In
this work, we produced collagen–silk composite fibers
by electrospinning, studied their mechanical properties, and applied
them as aligned matrices for neural differentiation. The two protein
components, collagen type I and spider dragline silk proteins, are
building blocks of natural biopolymers and have distinct structures
and complementary properties.[23] Collagen
type I has a hierarchical structure, and its monomer (tropocollagen),
comprised of triple α helices, is hydrophilic and binds to β-1
integrin on a cell membrane.[54,55] Dragline silk proteins,
consisting of predominantly β-sheets and glycine-rich domains
(amorphous matrix), have impressive mechanical properties and are
relatively hydrophobic.[19] The secondary
structures of the proteins were largely retained in the E-spun fibers.
As expected, collagen–silk composite fibers exhibited physical
and biochemical properties that were contributed by both protein components.
Fiber
Mechanics and Stability
High mechanical strength
is essential for fibers to be manually manipulated when serving as
scaffolds for tissue engineering.[56] Under
the optimized electrospinning conditions in this study, E-spun fibers
of pure collagen had a mean ultimate tensile strength, elastic modulus,
and ultimate strain of 40 MPa, 0.58 GPa, and 12.1%, respectively,
whereas the corresponding values of silk fibers were 182 MPa, 4.45
GPa, and 5.6%. Thus, silk fibers are stronger and stiffer, whereas
collagen fibers are slightly more stretchable. The monotonic and progressive
increase in fiber mechanical properties with silk percentage (Figure 4) indicates the effectiveness of silk proteins in
improving collagen fiber mechanics. It also suggests a homogeneous
integration between collagen and silk protein without abrupt structural
changes in the entire ratio range, and the composite fibers render
tunable fiber strength to achieve resistance to both fracture and
rupture. Note that E-spun fibers have lower tensile strength, stiffness,
and stretchability than that of native protein fibers (120 MPa, 1.2
GPa and 13% for collagen in tendon;[22,23] 1.1 GPa, 22
GPa, and 10–35% for dragline silk[20,21]) despite the presence of β-sheets of silk proteins and triple
helix of collagen in the E-spun fibers. We attribute this discrepancy
to imperfect molecular assembly during the electrospinning process;
however, when seeking a remarkably efficient and inexpensive way to
fabricate aligned and freestanding matrices, the E-spun collagen–silk
fibers offer an advantage for practical tissue engineering applications.
Efforts have been made to develop protocols for effective post-treatments
of artificial silk fibers[20,57,58] to induce β-sheet alignments, and similar treatments can be
applied to E-spun fibers in order to further improve the fiber mechanics.Preserving matrix stability is critical, as it enables cells to
receive steady biophysical and biochemical signals for directing cell
fate decisions.[3,59,60] Collagen fibers were shown to change dramatically in fiber dimension
and fiber morphology upon 7 days incubation in cell culture medium
(Figure 5). Hydration of collagen is the major
cause of the change. Due to the high percentage of hydrophilic amino
acids in collagen, uncross-linked collagen hydrogel was reported to
swell 150–200 wt %.[61] In native
fibers, selected lysine cross-linking sites can minimize the distance
between neighboring molecules,[62] enhancing
the hydrogen bonding and electrostatic interactions, which play important
roles in sustaining fiber stability.[63] We
applied a glutaraldehyde vapor treatment for cross-linking. While
a pronounced effect on fiber mechanics and stability was observed
(to be reported separately), the random and nonselective bonding may
be insufficient, and the slow penetration of glutaraldehyde makes
the cross-linking less effective on protein molecules within a fiber.[64] This is supported by our observation that the
glutaraldehyde cross-linking stabilizes thinner fibers more effectively.
During the hydration process, water molecules likely bind to the uncross-linked
hydrophilic residues of collagen. This causes an initial increase
in the fiber volume (first 2 h). When the water uptake becomes excessive
(after 7 days), it disturbs the hydrogen-bonding network within a
fiber. Consequently, the dense molecular packing within a fiber collapses,
leading to a looser fiber characterized by a significantly increased
cross-sectional area[65] and a distorted
fiber morphology. Silk protein is more hydrophobic and takes up much
less water than collagen. In composite fibers, not only does the increase
of silk percentage effectively reduce the water uptake but also the
hydrogen bonding and molecular interaction between the two protein
components reduce the degree of water uptake.[17] Consistently, our results demonstrate that the incorporation of
silk protein dramatically improved fiber stability. At day 7, a 15,
30, and 60% silk protein incorporation effectively reduced the collagen
fiber swelling from 150.3% to 95.3, 60.1, and 40.1%, respectively,
and the fibers largely retained the well-aligned, straight fiber morphology.
The cross-sectional area of pure silk fibers increased by only 28.0%
after incubation in medium for 7 days, and the fiber morphology remained
unchanged. When the fiber integrity is retained, the fiber stiffness
is sustained. Cognate changes in fiber stiffness were observed along
with fiber swelling. The integration of collagen with silk resulted
in a less noticeable decrease in fiber stiffness (see Figure S6). Thus, silk-dominant fibers offer
mechanically stronger and more stable scaffolds than that of pure
collagen and collagen-dominant fibers.
Biocompatibility and Application
in Stem Cell Differentiation
hdpPSCs behave very differently
on various E-spun matrices. Collagen-dominant
fibers are more favorable for hdpPSCs attachment. While the hydrophobicity
of silk hampers the initial cell attachment on silk-dominant fibers,
cells eventually adapt to the matrix and proliferate at a similar
rate as that of cells on collagen-dominant fibers. Cells on glass
and silk-dominant matrices seem to proliferate at a higher rate by
day 7. This is mainly because a larger fraction of cells on collagen-dominant
matrices have stopped self-renewal while progressing toward neural
differentiation.A cell responds to matrix by modulating the
amount and distribution of matrix-binding membrane proteins and reshaping
the cytoskeleton structure. The specific cell surface receptor of
collagen, β-1 integrin, is the key protein for sensing and transmitting
the physical and chemical cues of the matrix for intracellular signaling.
The unidirectionally aligned collagen molecules in an E-spun composite
fiber provide the guidance for β-1 integrin deposition, and
the formed β-1 integrin–collagen complexes induce cell
polarization along the fibers. Cells grown on composite fibers with
a higher collagen percentage display stronger adhesion with a concomitant
higher expression of β-1 integrin (Figure 6), as expected. One exception was found on CS15, where hdpPSCs expressed
β-1 integrin at a lower density (characterized by the reduced
intensity of fluorescence signal) as compared to that of cells on
pure collagen; however, the cell adhesion strength (characterized
by t0.5) was similar on the two matrices.
The reduced density of β-1 integrin is partly due to the reduced
amount of collagen in the composite fiber, which downregulates β-1
integrin expression. It can also be ascribed to the greater level
of cell polarization on CS15, which demands and drives β-1 integrin
to be distributed over a stretched range. The broader distribution
of β-1 integrin across the elongated cell appeared to compensate
the reduced protein density and dominate the enhancement of overall
cell adhesion. Cell spreading involves the breaking up of existing
integrin–collagen binding complexes, the translocation of integrin
to new binding sites, and the establishment of new binding complexes.
Therefore, slightly reduced β-1 integrin expression (i.e., reduced
number of collagen–integrin binding complexes) requires less
energy for cell spreading and favors cell polarization and the development
of long filaments.Fibrillar collagen type I has been routinely
used as a matrix component
in culturing neural stem cells or neural progenitors due to integrin-mediated
intracellular signaling.[3,7,66,67] Our previous work has shown that
the neural differentiation of stem cells on a collagen gel-coated
substrate is attributed to a β-1 integrin mediated β-catenin
signaling pathway.[9] In this well-studied
signaling pathway, the binding of β-1 integrin to collagen stimulates
integrin-linked kinase (ILK). ILK causes the repression of E-cadherin,
leading to the nuclear accumulation of β-catenin,[68,69] which, in turn, induces expression of genes whose protein products
are associated with neural commitment.[51] Neural precursors express nestin at a high level. By day 1 of differentiation,
48% of cells on pure collagen and 56% of cells on CS15 were already
nestin-positive (Figure 9B), implying a fast
neural commitment of hdpPSCs on these matrices. During further neural
differentiation, nestin is normally downregulated and is replaced
by tissue-specific neurofilament proteins;[70] however, we found that the nestin expression level in cells on collagen-dominant
matrices were steady and remained high from days 3 to 5 of differentiation.
We ascribe this to nestin’s other function, that is, coordinating
the assembly and disassembly of intermediate filaments as well as
the organization and maintenance of polarized cell morphology.[71] This is evidenced by the striking similarity
in the profiles of the nestin expression level and the cell length
of hdpPSCs on various matrices (Figures 8A
and 9B).Transition of the neural progenitors
to more mature neural cells
was characterized by the expressions of β-III tubulin and NeuN,
markers for immature and mature neurons, respectively. We achieved
the highest percentage of NeuN-positive cells (55%) on CS15 at day
5. On the same matrix, we achieved the highest percentage of β-III
tubulin-positive cells at 86%. A longer term of culture in the spontaneous
differentiation medium did not trigger a higher level of NeuN expression.
We infer that while most hdpPSCs can differentiate and transition
to neural progenitors and immature neural cells only a portion can
mature further. This result suggests that pro-neural soluble factors,
such as neural growth factors or retinoic acid (RA), are required
to advance further differentiation and maturation.It is remarkable
that CS15 promoted the neural differentiation
at the same or a slightly higher level compared with that of pure
collagen even though β-1 integrin expression in cells on CS15
is lower. We speculate that, in addition to the β-1 integrin-dependent
pathway, there may be other signaling pathways that elevate the neural
differentiation of hdpPSCs on CS15 fibers. Many reports have shown
that the organization, composition, and presentation of ligands exhibited
by the extracellular matrix can direct stem cell differentiation.[72,73] As discussed earlier, silk proteins in a CS15 fiber dilute the distribution
density of collagen, causing the downregulation of β-1 integrin
expression and a subsequent reduction in the number of focal adhesion
complexes, thereby leading to a higher level of cell polarization.
The enhanced cell polarization is expected to affect actomyosin contractility
and the downstream integrin-linked signaling cascades to promote neural
differentiation. This is supported by the fact that, when compared
with hdpPSCs differentiation on collagen gel (with randomly oriented
fibers), cells on E-spun collagen fibers were highly polarized and
experienced a much earlier β-III tubulin expression, suggesting
a faster neural differentiation (1 day vs 3 days). On the other hand,
the incorporation of silk into collagen increased the fiber stiffness
(Figure S6). Studies have shown that a
stiffer matrix can induce tensional forces, causing the cell–matrix
adhesion proteins to trigger a mechanotransductive pathway.[6,9,74,75] Thus, we infer that the effect from the drop of β-1 integrin
expression, associated with the reduced number of collagen molecules
in a composite fiber, is counterbalanced to some extent by the effect
of the extensive cell polarization and increased fiber stiffness;
however, a further decrease of collagen percentage in composite fibers
(CS30 and CS60) did not lead to further augmentation of hdpPSC differentiation
despite the continuous increase in matrix stiffness. These results
suggest that a fine balance between the physical and biochemical cues
is imperative to achieve rapid and effective neural differentiation.
More studies must be undertaken to identify the signaling pathway
mediated by the unique fiber composition. Not only will the number
of collagen–integrin binding sites be examined within a composite
fiber but also the cell adhesion strength of each binding site will
also be quantified to further understand the role of cell–matrix
interaction in promoting hdpPSC differentiation.Implantation
devices for neural tissue engineering, such as neural
constructs/scaffolds and neural electrodes, are typically on the millimeter
scale.[76−78] Accordingly, a fiber length of 8–10 mm was
chosen in this study. With the current setup of the electrospinning
system, aligned fibers up to 2 cm long can be achieved by adjusting
the spin conditions. Longer fibers can be generated at the expense
of fiber alignment and desirable properties, such as dimension, distribution,
and mechanical strength. Thus, alternative methods are preferable
for generating longer fibers in other applications.A low fiber
density was chosen in this study to promote cell attachment
to an individual fiber for effective cell polarization and differentiation
and to induce the development of long neural filaments in a desired
direction. Potentially, layer-by-layer E-spun fiber scaffolds with
controllable architectures can be achieved, serving as a 3D matrix
for generating biocircuits from stem cells.
Conclusions
Artificial extracellular matrices with tunable properties and spatial
alignment can serve as promising tissue engineering scaffolds. In
this study, we successfully fabricated unidirectionally aligned, freestanding
collagen–silk composite fibers by electrospinning. To our knowledge,
this research is the first work to fabricate collagen–dragline
silk composite fibers. The use of the electrospinning method is beneficial,
as it allows the formation of aligned fibers, mimicking interstitial
ECM proteins that typically align in parallel arrays in vivo. Collagen and silk proteins were uniformly blended throughout the
fibers, and their fiber tensile strength, strain, and elasticity displayed
linear variation with the fiber composition, allowing a simple and
convenient way to fine-tune the mechanical properties of a matrix
by its chemical composition.All of the E-spun fibers, including
pure silk fibers, adequately
supported cell proliferation. Due to the intrinsic difference between
collagen and silk proteins, collagen-dominant fibers displayed better
cell adhesion, whereas silk-dominant proteins displayed greater fiber
stability. When the collagen percentage was tuned in the range of
0–100% in the E-spun fibers, the distribution density of ligand
binding sites, cell polarity, and matrix stiffness were tuned in accordance.
A fine balance between the biophysical and biochemical cues was achieved
on the CS15 matrix to provide optimal support for the neural differentiation
of hdpPSCs and, importantly, to develop extremely long neural filaments
accurately aligned with the fibers, implying the potential application
of this matrix in neural tissue repair and future nanobiodevices.
Authors: John Gosline; Margo Lillie; Emily Carrington; Paul Guerette; Christine Ortlepp; Ken Savage Journal: Philos Trans R Soc Lond B Biol Sci Date: 2002-02-28 Impact factor: 6.237
Authors: Indumathi Sridharan; Yin Ma; Taeyoung Kim; William Kobak; Jacob Rotmensch; Rong Wang Journal: Biomaterials Date: 2011-11-21 Impact factor: 12.479
Authors: Nathan Weatherbee-Martin; Lingling Xu; Andre Hupe; Laurent Kreplak; Douglas S Fudge; Xiang-Qin Liu; Jan K Rainey Journal: Biomacromolecules Date: 2016-07-20 Impact factor: 6.988