Abstract
Three-dimensional (3D) in vitro models of cell culture aim to fill the gap between the standard two-dimensional cell studies and the in vivo environment. Especially for neural tissue regeneration approaches where there is little regenerative capacity, these models are important for mimicking the extracellular matrix in providing support, allowing the natural flow of oxygen, nutrients, and growth factors, and possibly favoring neural cell regrowth. We have previously demonstrated that a new self-assembling nanostructured biomaterial, based on matrigel, was able to support adult neural stem cell (NSC) culture. In this study, we developed a new 3D cell culture system that takes advantage of the nano- and microfiber assembling process, under physiologic conditions, of these biomaterials. The assembled scaffold forms an intricate and biologically active matrix that displays specifically designed functional motifs: RGD (Arg-Gly-Asp), BMHP1 (bone marrow homing peptide 1), and BMHP2, for the culture of adult NSCs. These scaffolds were prepared at different concentrations, and microscopic examination of the cell-embedded scaffolds showed that NSCs are viable and they proliferate and differentiate within the nanostructured environment of the scaffold. Such a model has the potential to be tailored to develop ad hoc designed peptides for specific cell lines.
Keywords: biomaterials, tissue engineering, 3D in vitro model
Introduction
Nowadays, tissue engineering is one of the most promising areas of research due to its potential to regenerate damaged or lost tissues. Nerve regeneration in particular has been the focus of much research in the last decade, particularly for its potential application in neurodegenerative diseases such as Parkinson’s and Alzheimer’s disease, or in spinal cord injury.1–4 Clinical results are still far from being noteworthy. The in vitro techniques instead are many, and various attempts have been made to culture different cell types in three-dimensional (3D) microenvironments, in different areas of tissue engineering. A recent review has addressed most of them,5 but other examples include studies where primary hepatic cells were shown to recover a tissue-specific mechanochemical characteristic either embedding them in matrigel or collagen I or culturing them as 3D aggregates.6,7 Also, fibroblasts cultured in 3D collagen were found to have a different shape8 and a different distribution of transmembrane adhesion proteins9,10 than those grown on two-dimensional (2D) substrates. When used as a model of epithelial organ development, Madin–Darby canine kidney cells generated polarized spherical and tubular monolayers resembling rudimentary epithelial suborgans when cultured within 3D collagen scaffolds, whereas they become only partially polarized when cultured on flat supports.11–14 Very recently, cells derived from normal and diseased kidney were cultured in 3D porous silk scaffolds and further extended into a perfusion bioreactor. A structural and functional kidney-like tissue was obtained.15 Also recently, a 3D model of osteogenesis was developed by culturing bone marrow explants and allowing for inherent ossification of bone marrow tissue.16
In particular for the peripheral and central nervous system, a few 3D approaches have been proposed, but more and improved models will have to be developed before effective output in neural tissue engineering will be achieved. Examples include a 3D model for peripheral nerve regeneration, using a highly oriented 3D collagen scaffold to promote directed axonal growth, with dorsal root ganglia explants.17 Another study used a collagen and hyaluronan scaffold to grow embryonic, postnatal, and adult neural stem and progenitor cells.18 Early differentiating human embryonic stem cells were further induced to differentiate in a 3D scaffold made of poly(lactic-co-glycolic acid)/poly(L-lactic acid).19 Finally, one study compared the viability of hippocampal neurons and astrocytes grown on 2D conditions with that of cells grown on an aragonite 3D scaffold prepared from coralline exoskeleton, showing better results for the 3D cultures.20
For tissue engineering purposes, the nature of the scaffold is a key concern, since it will provide cell support and allow for exchanges between cells and medium, of oxygen, nutrients, growth factors, and cytokines. In trying to reproduce the extracellular matrix (ECM) conditions, such biomimetic scaffolds need to display a series of characteristics: biodegradability and absence of immune response by the host tissue, appropriate mechanical properties, appropriate porosity and permeability and, finally, they need to be produced on a large scale and in a reproducible way.5 One of the main difficulties of many 3D culture systems is obtaining the appropriate internal organization of the scaffold. In order to have cells in a truly 3D microenvironment, the dimensions of the scaffold fibers and pores must be substantially smaller than the cells, so that cells are fully surrounded by the scaffolds, much like the in situ cytoarchitecture. Moreover, most of the scaffolds used so far are either made from synthetic polymers, such as polyethylene glycol, which present very limited cellular recognition motifs therefore hindering cell-scaffold interaction, or naturally derived polymers, such as collagen, that often present residual undefined or nonquantified elements.9 New classes of biomaterials are presently being developed, in order to overcome most of these problems. This work presents a recently introduced class of biomaterials with potential for tissue engineering: functionalized self-assembling peptides (SAPs).
SAPs are a recent class of biosynthetic materials with potential use in the development of scaffolds for 3D cell cultures.21,22 Various SAPs have successfully been used for neural cell culture. An amphiphilic molecule containing the IKVAV (isoleucine-lysine-valine-alanine-valine) motif, an epitope derived from laminin, has been shown to encourage differentiation of neural progenitor cells into neurons.23 RADA16-like SAPs are composed of natural amino acids that spontaneously self-assemble under physiologic conditions into antiparallel β-sheets forming nano- and microfibers that closely mimic the architecture of the ECM. RADA16-I and RADA16-II have been shown to induce neurite outgrowth and synapse formation, using pheochromocytoma 12 (PC12) cells.24 RADA16-I has been shown to favor proliferation and differentiation of neural stem cells (NSCs),25 to attract migrating hippocampal neural cells, which are potential neuroprogenitors at the interface between hippocampal slices and the biomaterial,26 and recently to enhance neurite outgrowth on a PC12 cell line.27 RADA16-I has also been shown to induce osteoblast proliferation, differentiation, and migration.28
The most used SAP for scope of neural cell culture is RADA16-I, which is a 16-residue peptide composed of alternating hydrophilic arginine, hydrophobic alanine, and hydrophilic aspartic acid (RADARADARADARADA). They consist of >99% water content and are made of peptide molecules that can break down into natural amino acids, which can potentially be used by the cells. RADA16-I can be synthesized commercially with high purity and, importantly, it can be custom-tailored in order to incorporate functional motifs for specific cell culture applications, be it for neural cells or others.
In our previous work, we designed and synthesized RADA16-I with different functional motifs.25,39 We demonstrated how the hydrophilic-hydrophobic balance of the inserted functional motifs may influence the β-sheet formation propensity of the SAPs. Indeed functional motifs comprising clustered hydrophobic residues can cause hydrophobic collapse of the monomers, preventing their assembling into β-sheets, and, on the other hand, in the case of too many hydrophilic residues, the overall double-layered structure of RADA16-I could be destabilized.39 Nonetheless, when proper functional motifs are chosen, as in this work, the tabular nanofibers generated by RADA16 are comparable in size and structure to the fibers formed by functionalized RADA16 peptides, yielding a nanostructured scaffold when dissolved in phosphate buffered saline (PBS) which are comparable in size and shape to animal extracts like matrigel. In particular, fiber width may vary from 10 nm for RADA16 to 13–15 nm for functionalized RADA16, depending on the sequence length,39 as the flagging functional motif increases the width of the fibers.25,28 Lastly, these scaffolds are characterized by the presence of pores 5–200 nm in width; ideal for migration, differentiation, and proliferation of NSCs.25
In the last decades, NSCs have been the focus of much research and attention for tissue engineering purposes due to their capacity to potentially regenerate all the major cellular phenotypes at the site of neural tissue injury (multipotentiality), without inducing an immune response, due to their inherent/defining undifferentiated state.29,30 Moreover, they are able to replicate indefinitely in vitro, maintaining a stable profile,31 so they are a potential renewable source of cell lineages from the CNS.
While most of the research on biomaterials scaffold for tissue engineering resides on the fabrications of the biomaterial itself, few have analyzed them as a whole with a cellular component. In this study, we used RADA16-I-based SAPs that incorporate the ubiquitin receptor binding site RGD (Arg-Gly-Asp)32 functional motif (RADA16-RGD) and also the laminin-derived motifs BMHP1 (RADA16-BMHP1) and BMHP2 (RADA16-BMHP2),33 together with pure RADA16-I. Our aim was to successfully seed and culture NSCs in a 3D biomaterial scaffold and to determine the best conditions for their proliferation and differentiation.
Materials and methods
Biomaterial synthesis and purification
The functionalized SAPs were synthesized by Fmoc solid-phase method, using a Liberty Microwave Peptide Synthesizer (CEM, Matthews, NC). All amino acids were purchased in their protected forms (Novabiochem, Darmstadt, Germany) and a Rink amide p-methylbenzhydrylamine (MBHA) resin (Sigma-Aldrich, St Louis, MO) was used. The N-terminal of each peptide was acetylated by acetic anhydride and cleavage performed by reagent K. The cleaved product was precipitated and washed with diethyl ether multiple times. The product was then dissolved in H2O/CH3CN (60/40 v/v) and lyophilized (Labconco, Kansas City, MO). Trifluoroacetic acid salts, arising from synthesis and purification of SAP were replaced with chloride salts via dissolution in HCl. The molecular weight of the peptide was verified by MALDI-TOF mass spectrometry (Applied Biosystems, Carlsbad, CA). The crude peptide was purified in a CH3CN/water gradient, using a reverse phase Waters HPLC (Milford, MA) equipped with an analytical and semi-preparative BioBasic C4 300 Å (Thermo Scientific, Waltham, MA). The purified product was lyophilized. The purity of the final product was calculated to be >99%.
RADA16-I (PuraMatrix™ Peptide Hydrogel; BD Biosciences, Franklin Lakes, NJ) was lyophilized. All functionalized SAPs and RADA16-I were dissolved in sterile distilled H2O (GIBCO, Invitrogen, Carlsbad, CA) to the desired concentrations (0.5%, 1%, and 2% (w/v)) and sonicated (S30H Elmasonic; ELMA, Singen, Germany) for 30 minutes before use.
Scanning electron microscopy scaffolds characterization
Scaffolds were imaged and characterized using a JEOL JSM-6060 Scanning Electron Microscope (SEM) (Tokyo, Japan). Samples were coated with 10 nm of Au/Pd using a Polaron Range sputter coater (DentonVaccum, Moorestown, NJ) prior to imaging. Samples were soaked in 5% glutaraldehyde at 4°C for 2 hours, washed in Milli-Q water, slowly dehydrated in 10% increment steps of ethanol for 5 minutes each, and placed in a pressurized liquid CO2/siphon for 1 hour using a CO2 critical point dryer (Tousims, USA). Scaffolds were next sputter-coated using a Polaron Range sputter and mounted on a copper grid to be examined with the same SEM.
Adult NSC isolation and culture
The NSCs used in this work were extracted from the subventricular zone (SVZ) of 8-week-old male C57BL/6 commercial mice (Charles River Laboratories, Wilmington, MA) and expanded in a basal cell culture medium, as described previously.34–37 Briefly, mice were sacrificed by cervical dislocation, and the brains were microdissected by use of a stereomicroscope. The SVZ was isolated, and tissue was mechanically and enzymatically (papain + DNAse) fragmented. A single-cell suspension was obtained by subsequence centrifugation steps and cultured at 37°C, 5% CO2. NSCs were isolated by direct formation of neurospheres, expanded by mechanical dissociation, and characterized for their staminality. NSCs were cultured in Dulbecco’s Modified Eagle Medium: Nutrient Mixture F-12 (DMEM/F-12) serum-free medium containing 20 ng/mL of epidermal growth factor (EGF) (Peprotech, Rocky Hill, NJ) and 10 ng/mL of fibroblast growth factor (FGF)-2 (Peprotech), passaged every 4/5 days when the neurospheres reached diameters of near 200 μm and seeded in 75 cm2 tissue culture flasks (Corning, Inc, Corning, NY) at a concentration of 104 cells/cm2. All NSCs used in this study were between passage 10 and 15. All cell-handling procedures were performed in a sterile laminar flow hood. All cells used in this work were used 2 days after the last mechanical dissociation in order to obtain the maximum percentage of NSCs. European Commission guidelines (EC Council 86/609, 1986) and Italian legislation (Decreto L.vo 116/92) for the care and use of laboratory animals have been observed.
2D NSC seeding on SAP
We diluted SAPs with sterile distilled water (GIBCO, Invitrogen) to double the desired concentration the day before cell plating. We coated a 96-well plate with Cultrex® basement membrane extract (R&D Systems, Minneapolis, MN) to serve as a control. The next day, 25 μL of each SAP was diluted with 25 μL of glucose 8%, in order to cope with the cellular osmolarity (∼260–320 mOsm/L). We coated a 96-well plate with 50 μL/well of the peptide solution and left at 37°C for 10 minutes. We then added 100 μL of basal medium to each well and allowed the SAPs to assemble at 37°C for 30 minutes. The medium was gently replaced, and 5000 cells/well were plated on the top surface of each SAP and Cultrex® substrate.
3D scaffold preparation and NSC encapsulation
The 3D scaffold was self-assembled on cell culture inserts, polyethylene terephthalate (PET) track-etched membrane, 1.0 μm pore size (BD Biosciences), in Multiwell 24 Well (BD Biosciences). We diluted SAPs with sterile distilled water (GIBCO, Invitrogen) to double the desired concentration the day before cell plating. On the day of scaffold preparation, 12 μL of each SAP was diluted with 12 μL of glucose 8%, in order to cope with the cellular osmolarity (∼260–320 mOsm/L), to the final desired concentration. A volume of 24 μL of each SAP was gently mixed with 8 μL of culture medium containing a cell density of 4000 cells/μL, in a total of 3.2 × 104 cells. The mixture was placed on the insert membrane, which in turn was placed in the well containing basal cell culture medium for the proliferation assay and basal cell culture medium supplemented with 20 ng/mL leukemia inhibitory factor (LIF) (Chemicon, Millipore, Temecula, CA) and 20 ng/mL brain-derived neurotrophic factor (BDNF) (Peprotech) for cell differentiation and allowed to self-assemble at 37°C. The culture medium was replaced every 3 days. All images were acquired using an inverted microscope (Axiovert; Zeiss, Oberkochen, Germany).
Cell proliferation assay
The MTS assay was performed as described in the Cell-Titer 96 AQueous One Solution Cell Proliferation Assay (Promega, Madison, WI). Briefly, cells were incubated for 3.5 hours with 20 μL of cell titer reagent, at 37°C, together with known cell concentrations, from 1000 to 40,000 cells/well. In this assay, the metabolically active cells react with the tetrazolium salt in the MTS reagent to produce a formazan dye that can be observed at λmax of 490 nm, using a Vmax microplate reader (Molecular Devices, Sunnyvale, CA). This absorbance is directly proportional to the number of viable cells. Mean values of absorbance were determined and a standard curve of absorbance versus cell concentration was created, from which the cell concentration values for each sample were determined.
Quanti-iT PicoGreen® Assay
The PicoGreen assay was performed as described in the Quanti-iT™ PicoGreen® dsDNA Assay Kit (Molecular Probes; Invitrogen). Briefly, cells were collected and digested with proteinase K (Sigma-Aldrich) at a final concentration of 20 μg/mL in 1 mL of sodium citrate buffer 50 mM, at 60°C overnight. A DNA standard curve was prepared, with DNA standards from 1 ng/mL to 1 μg/mL. A volume of 1 mL of Quanti-iT™ PicoGreen® reagent was added to each sample and standard and incubated for 5 minutes. Fluorescence was measured using a fluorescence microplate reader: excitation, 475 nm; emission, 535 nm (Tecan, Männedorf, Switzerland). Mean values of arbitrary fluorescence units (AFU) were measured, and a standard curve of fluorescence versus DNA concentration was created, from which the DNA concentration values for each sample were determined.
Immunofluorescence
Differentiated cells were fixed in 4% (w/v) paraformaldehyde after 7 days in culture. Blocking was performed with 20% normal goat serum and tissue permeabilization with 0.3% (v/v) Triton x-100. Cells were incubated overnight at 4°C, with the following antibodies: mouse anti-neuronal Class III β-Tubulin (TUJ1, 1:400) (Covance, Princeton, NJ), rabbit anti-glial fibrillary acidic protein (GFAP, 1:500) (Dako, Glostrup, Denmark), mouse anti-galactocerebroside C (GalC, 1:200) (Chemicon, Millipore) and mouse anti-oligodendrocyte marker O4 (1:200) (Chemicon, Millipore). Primary antibodies were probed with the secondary antibodies Alexa Fluor 488 goat anti-rabbit (1:500) (Molecular Probes, Invitrogen) and Cy3 goat anti-mouse (1:1000) (Jackson ImmunoResearch, West Grove, PA), for 45 minutes at room temperature. Cell nuclei were stained with 4′-6-diamidino-2-phenylindole (DAPI) (Molecular Probes, Invitrogen). Sections were examined by an upright (Axioplan; Zeiss) or inverted fluorescence microscope (Axiovert; Zeiss).
Rheological analysis
A AR2000 shear type oscillatory rheometer (TA Instruments, New Castle, DE) was used for the analysis. For each SAP, a sample of 40 μL, at concentrations of 0.5%, 1%, and 2%, was positioned on the Peltier plate, PBS 1X was added around the sample, and 30 minutes allowed for the SAP to self-assemble. A frequency sweep test was performed for each sample, in a range of frequencies from 1 to 100 rad/sec. Each test was performed at 37°C using a 20 mm, 0.5° cone geometry, with a truncation gap of 34 μm. Elastic shear modulus (G’) and viscous shear modulus (G”) were determined for each angular frequency value.
Statistical analysis
Each experiment was performed in triplicate unless otherwise indicated. All results were expressed as mean ± standard error of the mean (sem) plotted on graph. Analysis of differences between samples was made by one-way ANOVA followed by the Tukey multiple comparisons test, with statistical significance set at P ≤ 0.05, by use of GraphPad Prism software (v 5.0; La Jolla, CA).
Results
The functionalized SAPs used in this work have been synthesized and purified in our laboratory and have been described and characterized in our previous works.25,38,39 They were analyzed here in parallel with RADA16-I (PuraMatrix™ Peptide Hydrogel; BD Biosciences). A summary of the four SAPs used can be found in Table 1. These SAPs consist of 99% water and are composed of less than 30 alternating hydrophobic and hydrophilic residues that spontaneously assemble into double-layered antiparallel β-sheets under suitable physiologic conditions. Upon exposure to neutral pH liquids, these organizations form nanostructured scaffolds that mimic the ECM.40,41
Table 1.
Different self-assembling peptide hydrogels used in this study
SAP | Sequence | Origin of functional motif | Study |
---|---|---|---|
RADA16-I-BMHP1 | Ac-(RADA)4-GGPFSSTKT-NH2 | BMHP | Nowakowski et al33 |
RADA16-I-BMHP2 | Ac-(RADA)4-GGSKPPGTSS-NH2 | BMHP | Nowakowski et al33 |
RADA16-I-RGD | Ac-(RADA)4-GPRGDSGYRGDSG-NH2 | Collagen VI | Ruoslahti and Pierschbacher32 |
Schense et al42 | |||
RADA16-I | (RADA)4 | – | Zhang et al43 |
Abbreviations: BMHP, bone marrow homing peptide; RGD, Arg-Gly-Asp.
2D NSC proliferation on different SAPs
Cell quantification using the MTS cell proliferation assay was performed in order to determine the extent of NSC proliferation and viability on SAPs. We coated 96-well plates with each of the SAPs in Table 1, diluted at 2%, 1%, and 0.5%. A total of 5000 cells were plated on each and grown on basal medium supplemented with basic fibroblast growth factor (bFGF) and EGF. We used Cultrex® substrate coating as a positive control. After 5 days in culture, the MTS assay was performed for the direct evaluation of the total number of live cells present in culture. Within each experiment, we also plated 1,000, 5,000, 10,000, 20,000, and 40,000 cells for the calibration curve. Results are presented in Figure 1 as mean ± sem of three independent experiments. As we can see, for all the SAP scaffolds used, the total number of viable cells is around six times higher than the number of cells plated (5000), meaning that they all have a positive effect on cell proliferation and survival. Still, there is not a significant difference in the result between SAP scaffolds used, and they all performed worse than the control condition, coated with Cultrex®.
Figure 1.
NSCs were grown on different functionalized biomaterial supports: RADA16-BMHP1, RADA16-BMHP2, and RADA16-RGD, and also on RADA16, at different dilutions. Control condition refers to NSCs grown on Cultrex® substrate. Proliferation was evaluated by use of the MTS assay, and results are expressed as mean ± standard error of the mean of total number of cells after 5 days in culture (n = 3).
Abbreviations: 2D, two-dimensional; BMHP, bone marrow homing peptide; NSC, neural stem cell; RGD, Arg-Gly-Asp; SAP, self-assembling peptide.
NSCs can be cultured within 3D SAP scaffolds
These scaffolds are made of nanofibers and pores with dimensions 10–100 times smaller than those of cells, so that cells enclosed within are in a true 3D environment. Moreover, the functionalized SAPs used for the scaffold have already been demonstrated to be able to support NSC growth25 and to be able to release active cytokines in a slow and sustained manner,44 making them ideal candidates for 3D NSC culture and future use in tissue engineering applications. These SAPs have the characteristic of being soluble in aqueous solutions and assembling into nanofiber scaffolds upon exposure to physiologic pH solutions such as the NSC culture medium. We have therefore developed a culture system in which cells are mixed with the SAPs and immediately placed in contact with culture medium in order to allow assembly of the scaffolds with embedded cells (see Materials and methods for details). A schematic representation of the culture setup can be found in Figure 2, as well as two examples of NSC behavior and morphology within 3D SAP scaffolds.
Figure 2.
Three-dimensional NSC encapsulation within SAP scaffolds. A) Representation of the NSC/SAP scaffold assembling process. SAPs were mixed with NSCs and placed within a cell culture insert, which is then submerged in the culture medium. Scaffold assembling proceeds gradually as culture medium crosses the cell culture insert porous membrane. B) Scanning electron microscopy image of RADA16-BMHP2. C) Brightfield image of NSCs cultured for 5 days on RADA16-BMHP2. D) NSCs cultured for 7 days on RADA16-BMHP2 and live cells stained with calcein acetoxymethyl 2 μM.
Abbreviations: BMHP, bone marrow homing peptide; NSC, neural stem cell; SAP, self-assembling peptide.
Evaluation of NSC proliferation within different 3D SAP scaffolds
NSCs were grown on different biomaterial 3D supports: functionalized SAPs RADA16-BMHP2, RADA16-BMHP1, RADA16-RGD, and RADA16. All of them were diluted at 2%, 1%, and 0.5% (w/v). Control condition refers to cells grown on Cultrex® substrate on a 24-well plate. The same initial number of cells was plated for each condition (25,000) and control and NSCs were left to proliferate for 5 days. Brightfield images for each condition were acquired via an inverted microscope at 5 days after seeding and can be found in Figure 3. As we can observe, the typical neurospheres formed in 2D are not present in 3D, this is due to the conformation of the scaffold in a nanofiber mesh. Also, some of the seeded cell planes are out of focus, overlapping the focused plane, resulting in a rather fuzzy image.
Figure 3.
Brightfield images of NSCs within different SAP scaffolds, after 5 days in culture.
Abbreviations: BMHP, bone marrow homing peptide; NSC, neural stem cell; RGD, Arg-Gly-Asp; SAP, self-assembling peptide.
After 5 days in culture, total DNA in the scaffold was quantified by the PicoGreen Assay, as a measure of cell proliferation. We collected the whole 3D scaffold from the insert and the amount of cells present in the 24-well plate well for the 2D control. NSCs were digested with proteinase K overnight, and the following day the PicoGreen assay was performed. This assay measures double-stranded DNA, and it is very sensitive even to low amounts of DNA as is the case of such a reduced number of cells. Results are presented in Figure 4 as mean ± sem of four independent experiments performed. As we can observe, all three functionalized SAPs perform better than RADA16. In addition, all SAPs and also RADA16 present higher proliferation rates when the SAP concentration is decreased, so that the best condition is when SAPs are used at 0.5% (w/v). Still, cell proliferation in neither of the SAPs is as high as in the 2D control condition.
Figure 4.
Proliferation of mouse NSCs within different 3D SAP scaffolds, quantified by use of the PicoGreen assay. Results are expressed as mean ± standard error of the mean of total amount of DNA in the scaffolds and control after 5 days in culture (n = 4).
Notes: *P ≤ 0.05; **P ≤ 0.001.
Abbreviations: 3D, three-dimensional; BMHP, bone marrow homing peptide; NSC, neural stem cell; RGD, Arg-Gly-Asp; SAP, self-assembling peptide.
Evaluation of the influence of each functional motif on NSC proliferation
To further understand the influence of each functional motif on cell proliferation, we prepared different proportions of functionalized SAP and RADA16. Each functionalized SAP was mixed with RADA16 in proportions of 10:90, 50:50, and 90:10, maintaining a final concentration of SAP in solution of 0.5% (w/v). This concentration was chosen because it performed the best in the previous experiment. A total of 25,000 cells were embedded in each SAP scaffold as previously described, and 25,000 cells were grown on Cultrex® substrate on a 24-well plate as a control condition. The same initial number of cells was plated for each condition and control and NSCs were allowed to proliferate for 5 days. Brightfield images for each condition were acquired 5 days after seeding using an inverted microscope and can be found in Figure 5A. After image acquisition, the PicoGreen assay was performed as described before, and the result for each condition is schematized in Figure 5B. As we can see, there are no significant differences between different proportions of the functionalized SAP with respect to the total amount of SAP.
Figure 5.
Proliferation of mouse NSCs within different 3D SAP scaffolds, quantified by use of the PicoGreen assay. A) Brightfield images were acquired after 5 days in culture. B) PicoGreen assay was performed after 5 days in culture, and results are expressed as mean ± standard error of the mean of total amount of DNA in the scaffolds (n = 4).
Abbreviations: 3D, three-dimensional; BMHP, bone marrow homing peptide; NSC, neural stem cell; RGD, Arg-Gly-Asp; SAP, self-assembling peptide.
Evaluation of NSC multipotency after proliferation in 3D scaffolds
To evaluate the capacity of NSC to generate differentiated progeny, NSC were cultured on the SAP scaffolds for 5 days as before. NSC were then collected and plated on Cultrex® coated coverslips and allowed to differentiate for 7 days. Immunofluorescence against neurons (TUJ1), astrocytes (GFAP) and oligodendrocytes (GalC + O4) was performed for each condition, and the total number of differentiated cells was determined as a percentage of the number of cells plated. Results are presented in Figure 6 as mean ± sem of three independent experiments.
Figure 6.
Evaluation of the capacity of mouse NSCs to differentiate after being grown on 3D scaffolds for 5 days. NSCs were collected from the scaffolds and induced to differentiate on Cultrex® coating for 7 days. The total number of cells differentiated in the well is presented as mean ± standard error of the mean (n = 3).
Notes: *P ≤ 0.05; **P ≤ 0.001.
Abbreviations: 3D, three-dimensional; BMHP, bone marrow homing peptide; NSC, neural stem cell; RGD, Arg-Gly-Asp.
Results are presented as the number of cells differentiated and not percentage of TUJ1, GFAP, and GalC + O4 positive cells, since the morphology of the cells that had proliferated on SAPs in most of the cases could not be identified as neurons, astrocytes, or oligodendrocytes. As an example, we present in Figure 7 a GFAP staining for each SAP and control. For each condition, we can observe different cell morphology, indicating that each SAP scaffold influenced NSC differently. RADA16-RGD had the highest number of cells differentiated, and was significantly different from RADA16 (P ≤ 0.05) and RADA16-BMHP1 (P ≤ 0.001), indicating this scaffold presents a preferential environment for the maintenance of stem cell characteristics.
Figure 7.
Immunofluorescence was performed in NSCs after 7 days of differentiation. NSCs had been proliferating for 5 days in each of the SAPs in analysis. GFAP positive cells are shown.
Abbreviations: BMHP, bone marrow homing peptide; GFAP, glial fibrillary acidic protein; NSC, neural stem cell; RGD, Arg-Gly-Asp; SAP, self-assembling peptide.
Differentiation within the SAP scaffolds
Differentiation within the scaffold was extremely difficult to quantify due to possible binding of the antibodies to the scaffold, but mostly due to the thickness of the sample, which could go up to 300 μm (data not shown). This high number of scattering z-stacks in the sample poses a challenge to fluorescence microscopy, making a routine quantification very difficult. In Figure 8, we can see an example of differentiated NSCs marked with TUJ1 (red) and GFAP (green), after 7 days in 3D and 2D culture.
Figure 8.
Differentiation of mouse NSCs in 3D and 2D conditions, after 7 days in culture. Anti-TUJ1 (red), anti-GFAP (green), DAPI (blue).
Abbreviations: 2D, two-dimensional; 3D, three-dimensional; DAPI, 4′-6-diamidino-2-phenylindole; GFAP, glial fibrillary acidic protein; NSC, neural stem cell.
SAPs rheological characterization
The possibility of modifying stem cell behavior by altering the mechanical properties of the 3D scaffold is very appealing for tissue engineering applications, and different studies have shown that stiffness of the substrate can influence and direct stem cell behavior.45,46 Here, we analyzed the viscoelastic characteristics of the SAPs RADA16-BMHP1, RADA16-BMHP2, RADA16-RGD, and RADA16, at concentrations of 0.5%, 1%, and 2%, by performing a frequency sweep test between 1 and 100 rad/sec. Elastic shear modulus G’ and viscous shear modulus G” values were recorded, and the result for the mean of three independent analyses is presented in Figure 9A. The mean G’ and G” values along the frequency sweep test was calculated for each condition, and the result is presented in Figure 9B. Our results show that, for each SAP, increasing the concentration of the sample results in an increased G’ modulus value along the frequency sweep test range. This parameter can be used as a direct measure of the substrate elasticity or stiffness, so that increased concentrations result in an increased stiffness of the scaffold. Also, G’ values remain relatively constant throughout the test, so that all four scaffolds are very resistant to deformation. Moreover, we found that the mean G’ value for all SAPs lies between 10 and 1000 Pa (RADA16-BMHP1 0.5% 82.58, 1% 134.81, 2% 482.27; RADA16-BMHP2 0.5% 58.99, 1% 245.07, 2% 434.84; RADA16-RGD 0.5% 41.53, 1% 107.20, 2% 233.13; RADA16 0.5% 12.17, 1% 36.81, 2% 60.01), which has previously been demonstrated to be the optimum range for supporting NSC cultures.45
Figure 9.
Rheological characterization of each SAP at concentrations of 0.5%, 1%, and 2%. A frequency sweep test was performed on the assembled scaffold, between 1 and 100 rad/s. A) Elastic shear modulus G’ and viscous shear modulus G” values for each SAP, along the frequency sweep test. B) Mean G’ and G” values for each SAP, calculated from data presented on A.
Abbreviations: BMHP, bone marrow homing peptide; G’, elastic shear modulus; G”, viscous shear modulus; RGD, Arg-Gly-Asp; SAP, self-assembling peptide.
Discussion
In this study, we developed a 3D cell culture scaffold and assessed NSC survival, proliferation, and differentiation in this system. This scaffold is made of synthetic peptides that self-assemble into nanofibers, forming an intricate matrix that displays specifically designed functional motifs. Such a 3D support allows the transport of oxygen, nutrients, and waste products to take place in a 3D environment. We have made use of a recently introduced class of biomaterials, self-assembling peptides, which are based on a 16-residue peptide (RADA16) composed of alternating hydrophilic arginine, hydrophobic alanine, and hydrophilic aspartic acid that self-assembles into antiparallel β-sheets at physiologic pH, forming nanofibers that mimic the architecture of the ECM.38,39 These biomaterials can be designed ad hoc to incorporate different functional motifs for different cell populations; they are biocompatible25,28,39 and able to sustainably release active cytokines.25 In this work, we have used NSCs isolated from the subventricular zone of adult mice and have successfully cultured them in 3D scaffolds made of SAP functionalized with motifs from collagen VI (RADA16-RGD) and two bone marrow homing peptides (RADA16-BMHP1 and RADA16-BMHP2). Serum-free cell culture media was used to avoid adsorption of random serum proteins within the scaffolds. We have observed that our cell culture conditions were able to support the proliferation and differentiation of adult NSCs, so that these scaffolds allow a satisfactory supply of nutrients and oxygen.
Our results show that, for all the scaffolds analyzed, NSC proliferation seems to be dependent and inversely related to the scaffold concentration, so that higher proliferation rates are obtained with lower SAP concentrations (0.5%). The best scaffold for NSC proliferation seems to be RADA16-BMHP, although a statistically significant result was not obtained. Also, NSC proliferation in neither of the SAPs is as high as in the 2D control condition, and this can be explained partially by the fact that neural cells in situ have a low proliferation rate; therefore, we can claim that, in this sense, our model is similar to the in vivo conditions. After proliferating within the scaffolds for 5 days, NSCs were able to differentiate into the three major neural cellular phenotypes: neurons, astrocytes, and oligodendrocytes, and the higher number of differentiated cells was obtained for RADA16-RGD, which demonstrates that this scaffold performs the best with regard to maintaining NSC staminality. These results indicate that functional motifs are able to direct NSC versus proliferation or differentiation.
The rheological characterization showed that, for all the SAPs analyzed, increasing their concentration resulted in an increased stiffness of the substrate. Moreover, the mean G’ modulus values obtained (10–1000 Pa) were within the range previously reported to be the optimum range for supporting NSC culture47 and to be approximately the same as native brain tissue.48,49 Our rheological results may help explain the better results achieved by the 0.5% concentrations, which have, overall, performed better than 1% and 2% concentrations. In fact, our study is in agreement with a recent study reporting that the rate of proliferation of NSCs decreased with increase in the stiffness of alginate hydrogels.50
Potential future uses and developments of this research include expansion and transplantation of stem cells for the treatment of neurodegenerative diseases, as well as testing of neural drugs and studies of gene expression, in a cell environment which is much closer to the in vivo environment than the standard Petri dish for 2D cell cultures. Indeed, deeper understanding of the mechanisms of cells behavior in such 3D scaffolds will be required for future clinical applications, and improved 3D scaffolds and cellular systems are needed for effective tissue engineering strategies. The difficulties found in the 3D cell culture imaging demonstrate that there will also be the need for suitable imaging techniques able to systematically analyze systems that are much more challenging than cell monolayers.
Importantly, these peptides can easily be designed ad hoc for use with different cell lineages, by using modeling and analytical techniques that are presently being developed in our laboratory.38,39 They have already demonstrated to significantly enhance osteoblast proliferation, differentiation, and 3D migration,28 and they have the potential to be used for a vast number of cell models.
Conclusion
The 3D cell culture model developed proved the potential of functionalized SAPs for the culture of NSCs. These SAPs have now been shown to be highly biocompatible, able to mimic the 3D microenvironment for different cell types, and to be easily synthesized and purified ad hoc with a low batch-to-batch variability and on a large scale. These characteristics grant this 3D cell culture model the potential to be easily further developed and improved in order to use different cell lines to cope with different tissue engineering strategies and to meet clinical application standards in the near future.
Acknowledgments
The authors acknowledge CARIPLO Foundation and Regione Lombardia for providing financial resources to the project.
Footnotes
Disclosure
The authors report no conflicts of interest in this work.
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