Time-lapse microscopy and image processing techniques were used to observe and analyze fibroblast-mediated gel compaction and fibrin fiber realignment in an environmentally controlled bioreactor over a 48 hr period.
Cells embedded in collagen and fibrin gels attach and exert traction forces on the fibers of the gel. These forces can lead to local and global reorganization and realignment of the gel microstructure. This process proceeds in a complex manner that is dependent in part on the interplay between the location of the cells, the geometry of the gel, and the mechanical constraints on the gel. To better understand how these variables produce global fiber alignment patterns, we use time-lapse differential interference contrast (DIC) microscopy coupled with an environmentally controlled bioreactor to observe the compaction process between geometrically spaced explants (clusters of fibroblasts). The images are then analyzed with a custom image processing algorithm to obtain maps of the strain. The information obtained from this technique can be used to probe the mechanobiology of various cell-matrix interactions, which has important implications for understanding processes in wound healing, disease development, and tissue engineering applications.
An important tool for studying cell-matrix interactions is the cell populated collagen gel1,2. The gel provides a 3D environment that is closer to the in vivo character of the tissue and better suited for understanding cell behavior than is offered by traditional 2D cultures3. Early studies in which fibroblasts were homogenously distributed within a collagen gel found that the cells rapidly consolidate the collagen fibers and compact the gel4,5. The contractile fibroblasts in free floating gels then transition into a quiescent state soon after the gel has fully reached compaction1,6,7. The fibroblasts in gels that are constrained at the boundaries remain in an active, synthetic state8 and they generate fiber alignment in a manner dependent on gel geometry and external constraints5,9. Differences in cell activity appear to be a result of the internal tension (or lack thereof) that develops as the cells exert traction forces via integrins on the collagen fibers in the gel.
A variant of this technique involves placing fibroblast explants (i.e. clumps of cells) a distance apart within a collagen gel and observing cell-matrix interactions and the gradual development of fiber alignment between the explants (sometimes called ligament-like straps)10-12. The primary advantage of the explant system is that it allows one to arrange the cells into simple geometric patterns, which makes it easier to visualize and probe the mechanisms underlying cell-driven fiber realignment. These alignment patterns — which are dependent primarily on the interplay between cell traction forces, cell spatial distribution, gel geometry, and the mechanical constraints on the gel — are important to understand because they play a central role in global tissue organization, mechanical function, and local mechanical environment13.
In the field of tissue engineering, one strategy for producing mechanically functional, engineered-tissues involves controlling the fiber alignment pattern that develops from cell compaction so that the engineered tissue possesses fiber alignment that mimics that of the native tissue14,15. Such alignment is believed necessary for engineered tissues to replicate the complex mechanical behavior of native tissues. A modification of this strategy is to replace the collagen gel with a fibrin gel16. The fibrin gel develops a similar alignment pattern as a collagen gel during compaction. Over time the fibrin is degraded and replaced with cell-synthesized ECM that follows the initial fibrin fiber alignment pattern. The resulting engineered construct has significantly improved mechanical properties compared to collagen gel derived constructs17.
The alignment process and subsequent remodeling events in fibrin gels proceed in a complicated and poorly understood manner. To better characterize these interactions and their effect on cell behavior and ECM remodeling, we have developed a procedure that is based on the explant method. In this method, fibroblast explants are positioned on a fibrin gel in different geometric patterns. The gels are maintained in an environmentally-controlled, microscope-mounted bioreactor18, and the process of compaction and fiber realignment is monitored with time-lapse differential interference contrast (DIC) microscopy. Displacement fields are quantified with custom algorithms. The data obtained from these experiments have wide ranging implications for a number of processes, including optimizing tissue engineering strategies, improving wound healing, and treating pathological tissue remodeling.
1. Stencil Preparation
Prepare a stencil on Parafilm to layout the location of each explant, following the desired geometry (Figures 1A and 1B). Space each explant approximately 1-2 mm apart. This distance corresponds to an ideal spacing for generating fiber alignment between explants. Attach the stencil underneath the area of the coverglass where the sample will be prepared with tape.
2. Sterilization
Thoroughly clean all components of the bioreactor using 70% ethanol and sterilize for 2-3 hr under UV light prior to experimentation. If an alternative vessel is being used in lieu of a bioreactor then proper sterilization techniques should be used. See step 4.12 for comments on using a glass bottom Petri dish.
3. Fibrin Gel Preparation
After the components of the bioreactor have been sterilized, cast a thin layer of fibrin gel on the surface of the coverglass. Details for preparing fibrinogen and thrombin stock solutions for making 6.6 mg/ml fibrin gels are described in Sander et al.13 A similar protocol by Ye et al.19 for making 3.3 mg/ml fibrin gels can also be viewed on the JoVE website.
4. Cell Explant Preparation
5. Time-lapse Imaging
6. Strain Tracking
For details and instructions on the strain tracking software (Figure 2) used see Raghupathy et al.21 The algorithm is a custom MATLAB code that can be downloaded from http://www.license.umn.edu/default.aspx. Note that DIC images often have enough texture for strain tracking. The microbeads are included to serve as a check on the calculated strain fields. If strain tracking will be done it is critical that the images obtained are taken at the exact same location so that the images are registered. Unregistered images will produce spurious strains.
Tissue remodeling is a complex process that is driven in part by reciprocal physical interactions between cells and the surrounding matrix. The cells reorganize the surrounding fibers and generate tension in the fiber network. The alignment of fibers and mechanical environment in turn controls cell behavior, so that both cells and matrix globally reorganize to produce remodeled tissue. In this experiment, the cells of the explants, initially round in morphology, began to extend into the gel and adhere to the fibrin fibers (Figure 3). The cells exerted traction forces that propagated through the gel and induced fiber alignment parallel to the axis between explants. Within hours the "straps” became visible (Figure 3A). Strain measurements also indicated that the largest strains are transverse to the axis between explants (Figures 3D and 3E). The strains are highest in this region because the fibers in this region are free to translate towards the axis.
This protocol provides a simple model for the study of cell-induced matrix remodeling and the effects of fiber alignment on cell behavior. The use of cell explants provides a means for easily controlling the spatial distribution of clusters of cells (i.e. explants). The explants also concentrate cell-generated forces so that fiber alignment is quickly generated in a small area that can be easily imaged. High-resolution tiled images of the explants and the surrounding area are then used to quantify matrix reorganization (Figures 3B and 3C) in response to variations in experimental conditions.
Figure 1. (A) Schematic of a triangular explant configuration on a fibrin gel. (B) A Parafilm stencil taped to the underside of the bioreactor view port can be used to guide explant placement. (C) The assembled bioreactor is (D) placed on the precision motorized stage for time-lapse imaging. A syringe pump supplies conditioned medium at a constant rate. A beaker collects outflow medium. It is positioned at an appropriate height to minimize pressure differences in the bioreactor.
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Figure 2. Strain Tracking GUI. Left: A grid is created over the area of the DIC image that will be analyzed. Right: The algorithm, which is based on spatial correlation, finds the pixel displacements between images that result in the highest correlation (i.e. the peak).
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Figure 3. Time-Lapse Microscopy and Strain Tracking of Fibrin Reorganization Between Explants. (A) Fiber realignment was observed between explants by capturing tiled images using a 20X DIC objective. Individual frames were extracted from the tiled image at (B) t = 0 hr and (C) t = 24 hr to analyze fiber reorganization in the area between cell explants. (D) Contour plots show the distribution of maximum principal strain in the area corresponding to the "strap".
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This protocol was developed for the purpose of observing and quantifying the mechanics involved in cell-mediated ECM remodeling. Such processes underlie a number of biological phenomena and have important implications for engineering tissues2,22, reducing scar1,23, and understanding pathological tissue remodeling12,24. The use of time-lapse DIC microscopy allows one to resolve and quantify the displacement and alignment of fibrin fibers that occurs as a result of cell traction forces. The reorganization observed here is the first stage of the remodeling process, and it follows the organizational patterns observed in collagen11. Reorganization is followed by a combination of fibrin degradation and ECM synthesis. Whereas the reorganizational stage of remodeling takes place over a few hours to a few days, the synthesis stage of the remodeling process takes weeks to unfold13. The system described here is capable of operating for weeks, and so it can be adapted to monitor these later-stage events.
Possible modifications to this technique may involve varying the location, number, and size of the explants to create different geometries and observe differences in alignment patterns. Explants can also be embedded within the gel instead of on the surface by placing the explants between fibrin layers. Other modifications may involve the use of other fiber forming gels instead of fibrin, such as collagen, or adding other extracellular matrix proteins, such as fibronectin or hyaluronic acid.
Regardless of which set of experimental variables is chosen, experiment success critically depends on cell attachment. Therefore, it is important that one uses the microscope to check that the explants have attached to the gel surface before adding culture medium, as fluid shear can remove the explants from the fibrin gel. Another challenge one might encounter is keeping the cells of the explant together when pipetting them onto the gel. If this becomes an issue one can modify step 4.4 so that the cell pellet is resuspended in equal amounts of DMEM and freshly mixed 0.5 mg/ml reconstituted type I collagen. Adding a dilute amount of collagen can help keep the cells of the explant together. This procedure may be compared to the nested collagen matrices method developed by Grinnell et al., where cell migration and changes in collagen microstructure can also be studied by placing cell-populated collagen gels into acellular collagen gels25,26. Obtaining focused images throughout the experiment is also very important. Maintaining focus can be difficult because the explants move downward as the gel compacts and decreases in thickness. As a result, refocusing will be required as long as the gel compacts. Finally, the explants may detach from the gel during the experiment due to excessive mechanical tension27, fibrin degradation, or some combination of the two. If fibers tear due to mechanical tension one can try reducing the number of cells in an explant and increasing the concentration of fibrin in the gel. We have observed detachment issues due to fibrin degradation around the explant that disappear when plasmin inhibitors such as aprotinin (as used here) or epsilon-aminocaproic acid (ACA) are included in the medium.
We chose to use DIC as our imaging modality for these experiments because DIC allows one to image fibers and the fiber alignment process over extended periods of time in a manner that minimizes cell damage from exposure to light (i.e. phototoxicity). Phase contrast imaging can also be used but the resolution of individual fibers is inferior to DIC. Neither of these imaging modalities, however, provides information about fiber realignment occurring out-of-plane (i.e. through the thickness of the sample) and so interpretation of the data should bear this limitation in mind. Such information can be obtained with confocal microscopy, provided that potential issues with phototoxicity are addressed when setting up the experiment. Finally, DIC images contain a contrast gradient (i.e. shear axis) that affects the visibility of fibers in an angle dependent manner. As a result, some fiber directions will be easier to visualize than others.
Future applications of this technique may involve observing the effect of boundary conditions, explant-to-explant distance, and the geometry of the gel on fiber reorganization. Image analysis techniques such as the strain tracking algorithm used here can be used to quantify how each of these factors contributes to gel reorganization and the remodeling process. For example, we have found quantifiable differences in the strain field of triangular explants with fixed and free in-plane boundaries28. This technique can also help in dissecting mechanobiological pathways involved in cell migration and tissue remodeling, as well as how these processes may be modulated by various biochemicals. These data can also be used as valuable inputs for developing computational models and for assessing their predictive capabilities29.
The authors have nothing to disclose.
We thank George Giudice and Steven Eliason for donating human dermal fibroblasts and Ramesh Raghupathy for help with the strain tracking algorithm. Support for this work was provided by a U.S. Department of Education Graduate Assistance in Areas of National Need Fellowship (GAANN P200A120071).
Sigma-Aldrich | F8630 | |
Sigma-Aldrich | T4648 | |
Gibco | 11965-092 | |
Gibco | 15140-122 | |
Sigma-Aldrich | A2942 | |
Sigma-Aldrich | H0887 | |
Sigma-Aldrich | 223506 | |
Gibco | 25200-056 | |
Invitrogen | 3000 | |
Lonza | DE14-701F | |
Molecular Probes | F8858 | |
GIBCO | A10483-01 | |
GIBCO | 11430-030 | |
Fisher-Scientific | SS264-1 | |
Sigma-Aldrich | A3428-25MG | |
Biotense Bioreactor | ADMET | |
Ti-Eclipe Microscope | Nikon | |
# 0 35 mm Glass Bottom Petri Dish | MatTek | P35G-0-20-C |
# 0 35 mm Glass Top Petri Dish | MatTek | P35GTOP-0-20-C |
Plastic Luer fittings, PVC tubing with Luer ends | Cole-Parmer | 30600-65 |