Open Access Article
Jiranuwat
Sapudom
a,
Stefan
Rubner
a,
Steve
Martin
a,
Stephan
Thoenes
b,
Ulf
Anderegg
b and
Tilo
Pompe
*a
aInstitute of Biochemistry, Faculty of Biosciences, Pharmacy and Psychology, Universität Leipzig, Leipzig 04103, Germany. E-mail: tilo.pompe@uni-leipzig.de; Fax: +49 341 97 36939; Tel: +49 341 97 36931
bDepartment of Dermatology, Venereology and Allergology, Universitätsklinikum Leipzig, Leipzig 04103, Germany
First published on 1st July 2015
Defined biomimetic three-dimensional (3D) matrices are needed to decipher the complex cellular signalling during wound healing at high resolution in vitro. Soluble factors like TGF-β1 and adhesion promoting structural components of the extracellular matrix (ECM) are known to be key regulators of fibroblast behaviour. The ECM component fibronectin (FN) bears a complex function as adhesion promoter, fibrillar element and soluble factor binder. However, its implementation in biomimetic 3D matrices is frequently ill defined. To study the impact of FN on fibroblast cellular function under differentiating conditions (TGF-β1 stimulation), we functionalized 3D collagen I matrices with FN using two strategies: co-assembly and adsorptive immobilization. In comparison to co-assembly, adsorptive immobilization provided no alteration in collagen microstructure as well as mechanical properties. Moreover, this approach provided a controllable FN amount and a homogenous distribution of FN throughout collagen networks. A strong interplay of FN amount and TGF-β1 stimulation on fibroblast function was found in terms of proliferation, migration and myofibroblast differentiation. High levels of FN alone reduced proliferation and showed no effect on differentiation of fibroblasts, but increased migration. In contrast, fibroblast stimulation with high amounts of FN together with TGF-β1 increased proliferation. Independent of FN, the TGF-β1 stimulation enhanced mRNA expression of matrix components like collagen type I alpha 1 chain (Coll I(a1), FN with extra domain A (EDA-FN) and reduced cell migration. The latter cell behaviour indicated a FN independent differentiation into a myofibroblast phenotype. Overall, our 3D biomimetic matrices allow dissecting the overlapping action of the ECM protein FN and the soluble factor TGF-β1 on fibroblast proliferation, migration and differentiation in 3D microenvironments. Furthermore, this model enables the mimicking of important steps of the in vivo wound healing process in vitro.
FN is an important ECM component and plays a crucial role in tissue and wound repair. FN is a multi-domain glycoprotein at a size of 220–250 kDa subunits, which is linked by two c-terminal disulphide bonds to a dimer.8 FN plays important roles in development,9 wound repair10–12 and tumour progression.13,14 FN is subdivided into 2 types according to its sources, namely plasma and cellular FN.15 Plasma FN is produced and secreted by hepatocytes into blood plasma, whereas cellular FN is produced by many cell types, including fibroblasts, endothelial cells and chondrocytes. Cellular and plasma FN can be distinguished by the presence of additional polypeptide segments, in particular extra domain A (EDA-FN) and extra domain B (EDB-FN) fragments in the cellular FN. FN contains adhesion promoting sequences, including the most prominent RGD sequence, which can bind specific integrin receptors and stimulates signalling pathways in cell adhesion, migration and differentiation.16,17 Furthermore, FN is known to directly or indirectly bind multiple soluble factors, including TGF-β1, and presenting it to cell-surface receptors in synergism with integrin mediated adhesion signals.18
In the context of wound healing it has been reported that the presence of FN at the wound edge provides the formation of a fibrillar network anchoring cells and molecules for signal transduction as well as induces migration of fibroblasts and epidermal cells toward the wound.19,20 During the initial phase of wound repair, fibroblasts differentiate into myofibroblasts, characterized by elevated expression of alpha-smooth muscle actin (aSMA), its incorporation into actin stress fibres and an enhanced ability to contract ECM. Furthermore, myofibroblasts exhibited increased levels of collagen synthesis as well as EDA- and EDB-FN production. TGF-β1 is a well-known multifunctional cytokine involved in the process of myofibroblast trans-differentiation.21 Myofibroblasts synthesize tissue matrix proteins like collagen I (Coll I), collagen III and EDA-FN and contribute to wound closure by contracting the ECM. Dysregulation of myofibroblasts may lead to persistence of these matrix producing cells after wound closure resulting in formation of excess fibrous connective tissue in hypertrophic scars and keloids. Furthermore, TGF-β may drive pathological ECM deposition in different organs, known as fibrosis. Elucidation of the factors that regulate the trans-differentiation and cellular functions of fibroblasts may thus be useful for identification of therapeutic approaches to accelerate wound repair as well as counteract the fibrosis formation.
As mentioned above, wounds represent a complex microenvironment containing cells, cytokines and various ECM components and their degradation products in a specific composition, mechanics and microstructure.22–26 In the last years it has become evident, that physiologically relevant in vitro cell studies have to use biomimetic 3D scaffolds to appropriately model these ECM parameters and to decipher the contribution of single components. Standard experiments using hard or 2D materials frequently lack predictive power for the in vivo cell behaviour.27 Therefore, 3D synthetic, biohybrid or biopolymer based cell culture scaffolds have been developed, which try to mimic the in vivo situation as close as possible.27,28 In these context collagen I (Coll I) based fibrillar matrices are a well-established tool because (i) collagen is the most abundant ECM protein in mammals, (ii) the fibrillar networks can resemble the in vivo 3D microstructure and (iii) present relevant adhesion ligands.29 However, a controlled functionalization of collagen matrices with other ECM components like FN is frequently hampered by the disturbance of fibril formation by the protein presence. This problem inhibits an independent modulation of collagen network microstructure and an additional functionalization with other ECM components like FN.
In this work, we solve the latter problem by developing a 3D Coll I matrix with adjustable FN functionalization at defined 3D network microstructure. We use this in vitro cell culture scaffold to demonstrate the impact of FN in regulating cellular functions i.e. proliferation, migration and differentiation of human dermal fibroblast in the absence and the presence of TGF-β1. Our results allow the dissection of the impact of ECM composition (FN) and growth factor presence (TGF-β1) on fibroblast function in a wound healing context.
The acceleration of Coll I fibril formation and the increased final turbidity in the presence of FN suggested an alteration in microstructure of Coll I networks. We therefore analysed the Coll I microstructure using confocal laser scanning microscopy (cLSM). FN functionalized 3D Coll I matrices were reconstructed by pipetting the Coll I-FN mixture onto 13 mm PSMA-coated coverslip and fibrillogenesis was performed at 37 °C for 2 h. As shown in Fig. 1B, matrices reconstituted from solutions of 2 mg ml−1 Coll I concentration showed a homogenous distribution of long Coll I fibrils. In contrast, networks of FN-Coll I mixtures were drastically changed in their microstructure with heterogeneous areas of shorter fibrils. Moreover, reproducibility was much lower in the presence of FN. The microstructure of Coll I networks including pore size, fibril size and connectivity is known to strongly influence the mechanical characteristics of Coll I matrices and the correlated cell behaviour.22,23,25,31–33 Therefore, co-assembly of Coll I and FN had to be skipped for the preparation of FN functionalized 3D Coll I matrices.
22) were incubated with FN-TAMRA at different concentrations of 20, 40, 100 and 200 μg ml−1 at pH 7.4 and 37 °C. FN immobilization kinetic was analysed by enzymatic digestion of Coll I matrices using collagenase after 15, 30, 60, 90, 120 and 180 min of incubation and analysis of the digested solutions by fluorimetry of TAMRA-labelled FN. As shown in Fig. 1C, adsorptive immobilization of FN to Coll I matrices was time-dependent and reached a plateau after 120 min of incubation, which was chosen as incubation time for further experiments. Quantitative analysis of immobilized FN amount revealed 0.05 to 0.45 μg per μg Coll I, enabling adjustable FN amount. The binding stability of FN binding to the matrices could be shown with cell culture medium (DMEM with 10% FCS) for 5 days (Fig. 2A). The analysis of topological and mechanical properties of FN functionalized matrices indicated no alterations in pore size (Fig. 1B and S1†) as well as matrix elasticity (Fig. S2†). Fibril diameter and length of the used Coll I matrices were recently reported to be 750 nm and 120 μm, respectively.22 Furthermore, we could show that adsorbed FN was homogenously distributed in 3D Coll I matrices throughout the whole layer in the vertical direction (Fig. 2B).
Our data show that subsequent adsorptive immobilization of FN to Coll I matrices is a meaningful approach to functionalize topologically and mechanically defined 3D Coll I matrices with adjustable amounts of FN.
Integrin-mediated cell adhesion to FN is known to control cell cycle progression via the cyclin-dependent kinase (CDK) signalling pathway.36 It has been previously reported that TGF-β1 enhances proliferation by induction of basic fibroblast growth factor (FGF-2), resulting in regulation of CDK signalling pathway.37 Furthermore, FN is known to trigger binding of TGF-β1 via latent TGF-beta binding proteins (LTBP) and fibrillin leading to orchestrated action of integrin and TGF-β1 signalling.18 While we currently do not have a mechanistic understanding of our findings, our results indicate a multifunctional capacity of FN in reversely regulating proliferation of fibroblasts in dependence on TGF-β1 presence. We suggest this function to be related to the control of TGF-β1 signalling by FN and the overlapping impact of FN and TGF-β1 on proliferation as discussed above. Future studies using well-defined matrices like presented herein are needed to reveal underlying signalling mechanisms.
We have to point out, that there exist contradicting results on FN stimulated fibroblast proliferation in literature. α5β1 integrin-mediated increased fibroblast proliferation was observed in confluent cultures on 2D FN surfaces.38 Furthermore, it has been reported that FN containing co-assembled 3D Coll I matrices indicated a supportive influence on fibroblast proliferation by FN.39 However, in both cases the in vivo ECM microenvironment is not appropriately mimicked. 2D surface do not recapitulate topology and mechanics of 3D matrices and the co-assembly of Coll I and FN leads to drastic changes in topology and mechanics of pure Coll I matrices as shown above. These changed ECM characteristics are known to strongly influence fibroblast proliferation.24
The results demonstrated in agreement with previous studies that FN can activate migration of fibroblast into 3D Coll I matrices, e.g. at wound sites. Integrins, including α4β1, αvβ3 and α5β1, are well-known as FN ligands promoting cell adhesion and migration in a FN dose-dependent manner.40–44 Furthermore, it has been reported that FN contains a proteolytic fragment in the 120 kDa fibroblastic cell-binding domain that can be released and may promote chemotactic migration.45 We can exclude other well-known influences on cell migration including network microstructures and mechanics as our new protocol of FN functionalized 3D Coll I matrices leaves these parameters unaffected in dependence on FN amount.
The strong decrease in fibroblast migration by TGF-β1 stimulation is interesting as it indicates a shift in fibroblast phenotype, besides the TGF-β1 and FN-dependent proliferation. TGF-β1 is known to trigger differentiation of fibroblasts into myofibroblast,46,47 which can influence the proliferative and migratory activities of the cells. A similar decreased migratory activity in pure Coll I matrices under the influence of TGF-β1 is known from earlier studies.4 Hence, we asked on other indications of myofibroblast differentiation and possible impacts on fibroblast migration in 3D Coll I matrices in the next section.
We finally want to state that although our cells were initially seeded on top of the 3D Coll I matrices, we are confident that we mostly probe a 3D behaviour of cells (proliferation and differentiation, see below) as most cells are found within the matrix after 4 days. Our stringent method of evaluating migrated cells ignores cells migrating <50 μm below the matrix surface. However, Fig. 4B indicates a 3D distribution of all cells. Although there might be some cells still on top of the matrix surface at less motile conditions (TGF-β1 stimulation), we still assume most of the cells within the soft 3D matrix environment of the Coll I layer at these conditions based on the above arguments.
Fibroblasts generally have a bipolar or multipolar, and elongated shape. As shown in Fig. 5, FN functionalization of Coll I matrices did not affect fibroblast morphology. Thin actin fibres can be observed in the thin, elongated fibroblasts. In the presence of TGF-β1, the cells exhibited more pronounced stress fibres indicating a differentiation into myofibroblasts. In correlation to these observations we found a higher matrix remodelling by fibroblasts stimulated with TGF-β1, as seen by the highly aggregated FN-modified collagen fibrils next to the cells in Fig. 5 (white arrows), whereas non-stimulated cells tend to remodel Coll I matrices to a much smaller extent. This indication of higher tensional forces of differentiated myofibroblasts was found to be dependent on FN amount with stronger remodelling at higher FN concentration.
The observed changes in tensional state and matrix remodelling activity could be supported by analysis of genes typically associated with myofibroblast differentiation. These genes involve aSMA for the expression of distinct, highly contractile actin stress fibres and EDA-FN and Coll I for synthesis of new, wound healing associated matrix proteins.46,48–50 As shown in Fig. 6, TGF-β1 stimulation strongly up-regulated gene expression of aSMA, EDA-FN and Coll I, independently of FN amount. In non-differentiated fibroblasts (without TGF-β1) a significant down-regulation of these genes was found in presence of FN. The high aSMA expression in differentiated myofibroblasts is well-known and correlates to our matrix remodelling findings. Furthermore, the high EDA-FN and Coll I gene expression indicate the responsiveness to TGF-β1 leading to a myofibroblast state with high expression of new matrix proteins.46 Hence, cellular FN (EDA-FN) production should be up-regulated prospectively leading to a further support of fibroblast differentiation because EDA-FN was recently reported to induce fibroblast differentiation, cell contractility and focal adhesion kinase (FAK) activation via α4β7 integrin. In contrast, plasma FN (used to modify Coll I matrices in our study) lacks the EDA fragment and is reported to show less impact on fibroblast differentiation.51 This is in line with our findings on down-regulation of the discussed genes in the presence of FN without TGF-β1 stimulation. In this context our new matrices could again act as a valuable platform to decipher the differential influences of FN isoforms.
Furthermore, it would be interesting to correlate the amounts of FN in our biomimetic matrices to the in vivo situation. Unfortunately, we are not aware of such data of closing wounds. Hence, we can only compare the corresponding cell behaviour of the in vivo situation to in vitro experiments using our biomimetic matrices of known FN content.
At this stage our data on matrix remodelling activity and fibroblast differentiation can be nicely correlated to the migration data. The high expression of aSMA and strong stress fibres in differentiated myofibroblasts agree to increased matrix remodelling and decreased motility. In contrast, the decrease in aSMA expression in non-differentiated fibroblast correlates to an increased migratory activity and negligible matrix remodelling. These findings fit earlier reports on decreased fibroblast migration at differentiating conditions towards myofibroblasts in vitro4 and in vivo.52 This correlation indicates (i) the role of FN in supporting a migratory, less differentiated fibroblast phenotype when TGF-β1 is absent and (ii) the importance of TGF-β1 to support myofibroblasts differentiation in a FN independent manner in this biomimetic system. It shows that we can nicely model important subsequent steps of in vivo wound healing, namely (i) fibroblast migration in a permissive FN rich peri-wound and (ii) the subsequent TGF-β1 controlled myofibroblast differentiation within the wound site.
It has to be pointed out that the distinction of the dose-dependent impact of FN functionalization on fibroblast proliferation and differentiation is based on the ability to modify 3D Coll I matrix with FN without the disturbance of its topological and mechanical properties. Otherwise well-known influences of matrix microstructure and mechanics on fibroblast behaviour could have misled our experiments. Fibroblast morphology and stress fibre formation strongly depends on mechanical parameters of Coll I matrices. No stress fibres and few focal adhesion were reported in a floating Coll I matrix,53 which relates to a low tensional state of the fibroblast. In a high tension state, fibroblasts exhibit strong formation of stress fibres and focal adhesions.54 Our topological and mechanically defined matrices allow us to rule out such influences on cell behaviour.
Our studies in defined biomimetic 3D matrices can distinguish the impact of matrix mechanics, adhesion ligands and growth factor presence, in contrast to contradicting previous reports.39,55,56 They are able to mimic several features of the in vivo behaviour of fibroblasts in wound healing. Fibroblast transmigrate from the peri-wound, the close wound surrounding, with its high amount of FN into the fibrin and FN rich wound matrix.41 At the wound site, fibroblasts differentiate by TGF-β1 expressed by macrophages and other cells towards myofibroblasts. In this situation they proliferate and become activated for matrix remodelling, while decreasing migratory activity. All these processes can be captured within our model suggesting these new 3D biomimetic matrices for other in vitro cell studies. Further application of these matrices will enable the dissection of the impact of important cues of the cellular microenvironments including ECM properties and soluble factor action in studies on wound healing, tumour progression as well as stem cell homeostasis.
000 g mol−1; Sigma-Aldrich) according to previous reports.59 Coll I mixtures or pure Coll I solutions were prepared as stated above (4.2). Subsequently, the mixtures were transferred onto glass coverslip.22 Coll I fibrillogenesis was initiated for 90 min at 37 °C, 5% CO2. Fibrillated Coll I matrices were rinsed 3 times with phosphate buffered saline (PBS, Biochrom, Berlin, Germany) prior to analysis, functionalization or cell experiments. Fibrillated Coll I amount was analysed using Bradford assay.23
Homogeneity of FN distribution throughout the Coll I matrix was analysed using cLSM (LSM 700, Zeiss, Jena, Germany) stack images of FN-TAMRA fluorescent signal. The images were acquired using 40×/NA 1.3 oil immersion objective and 1024 × 1024 pixels in resolution and a vertical stack size of 10 images (equivalent to 50 μm). The voxel size of the acquired images was 0.13 × 0.13 × 5 μm (x × y × z). The FN-TAMRA fluorescent signal in z-direction was normalized to a reference from FN-TAMRA solution of 473 μg ml−1.
Network topology and mechanics of FN functionalized Coll I networks was analysed as previously reported.22,23
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10 dilution with cell culture medium) at cell culture condition. Supernatants were collected and 100 μl of each supernatant were transferred to 96-well plates. Absorbance was measured at 450 nm with a multi-well plate reader.
Cell migration was quantified by analysing DAPI signal from individual cell nuclei. Stacked images were gathered using an epifluorescence microscope with scanning stage (AxioObserver.Z1, Zeiss) using a 10× objective (1388 × 1040 pixels in resolution with 5 μm z-distance). For each cell migration experiment, at least 200 cells at 3 positions from 3 independent experiments were analysed per experimental condition. The z-position of cell nuclei as a function of migration distance below Coll I matrix surface was examined using a custom-written Matlab (Matlab R2014a; MathWorks Inc., USA) script. Cells located >50 μm below the Coll I matrix surface were counted as migrated cells. The maximum migration distance was defined as the mean migration distance of 10% of all cells with the highest migration distance.
Footnote |
| † Electronic supplementary information (ESI) available. See DOI: 10.1039/c5bm00140d |
| This journal is © The Royal Society of Chemistry 2015 |