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Migration is an important process that influences several physiological aspects. In wound healing, migration facilitates re-epithelization of the skin. In non-healing wounds, such as chronic wounds, opportunistic bacteria cause infection of the wound, and open wounds are ideal for bacteria growth and formation of biofilm1,2. Biofilm is one of the causes of the development of resistant bacteria, which is one of the biggest threats to our modern society3. In wound healing, the immune cells cannot penetrate the biofilm. In cancer, migration of the cancer cells is a pivotal step of metastasis, which is the primary cause of death for patients with solid tumors4,5. Therefore, it is crucial to be able to study migration.
The scratch assay is often used to test cell migration because it is cheap and easy to perform on adherent cell lines, such as fibroblast, endothelial, and epithelial cell lines6,7. Today, several methods exist for performing scratches8, and different materials have been reported to be used, including toothpicks9, cell scrapers10, lasers11, and electric currents12. All of the methods have different pros and cons, and the method should be decided upon according to the cell type, budget, and analysis tool. As an example, if the used cell type requires coating, manual pressure removal, e.g. with a toothpick or pipette tip, will influence migration within the area, a different method should be used. In this study, we will focus on manual scraping.
A downside for manual scraping is the variation of the size, shapes of the scratches, and accumulation of cell on the edges of the scratch. Many protocols exist, and a highly cited paper advises increased speed and/or thorough washing after scratching13. Additionally, several methods have been used to minimize proliferation, since the proliferation of the cells cannot be distinguished from migration and therefore may give false-positive results of migration. Some reported methods are serum starvation preceding the scratch14 and decreasing the amount of serum15. However, neither of these methods can ensure that there is no proliferation. Therefore, we report a pre-treatment of the cells with mitomycin C to ensure true results of migration. Mitomycin C is an antibiotic that inhibits DNA synthesis by forming a covalent bond with the DNA, which prevents the DNA from separating16. By pre-treating with mitomycin C and washing with PBS before scratching, the detected closure of the gap demonstrates the true migration of the cells (Figure 1).
A characteristic of all the methods is the need for a system to analyze the process of migration17. A common and an inexpensive method to analyze the progress is to use a light-field microscope to take images of the scratch at pre-determined time points, followed by an analysis of the closure of the gap in an image software18,19. This method is time-consuming, unreliable with regards to taking pictures at the same spot and focus, and the movement from incubator to camera forces cycles of temperature changes while pictures are taken. Other methods have been developed to detect migration by measuring the current flow. The current changes, as cells cover more space on the plate, which is read as an increase in the impedance20. By measuring impedance, the environment of the cells is not affected, and the method is therefore considered non-invasive. This method relies on specialized plates with gold electrodes, which are expensive, but they enable detection of many processes, such as cellular adherence, proliferation, migration, and cell death. A big disadvantage of this method is that the impedance measurement does not directly indicate migration, as factors such as temperature have a great impact on the impedance. Changes in the impedance can be caused by several factors that are not reviewed by the software, making the analysis of the data more difficult. Therefore, the lack of visualization requires a conventional light microscope to verify migration.
To overcome many of the downsides of the available techniques, we use a real-time automated optical camera. The optical camera is a detection system with a high-throughput microscope in a small platform with a lens, illumination unit, and a digital camera. It has a built-in software, which can test migration and proliferation among other things. To detect migration, two algorithms are used to analyze the growth and the migration kinetics of cells, which are called the proliferation and the wound healing analysis, respectively. The proliferation analysis is based on a two-step image segmentation algorithm that applies texture analysis to detect the difference between cell-covered areas (shown in yellow) and empty background areas by advanced histogram analysis. The wound healing analysis is based on a three-step algorithm that detects the cell monolayer, locates the wound gap, and determines the gap width. These steps are conducted at user-determined time-points, and the data is presented as covered area, gap width, and gap area. One of the great advantages of this machine is that it enables imaging of adherent cells through liquid because of the angle of the camera21. The camera lenstakes tilted images that are projected to a z-stack of a single z-plane generate to ensure that the pictures are in-focus (Figure 2). z-stacks are generated by merging the series of pictures (e.g. 40) taken perpendicular to the wound edge, and across the entire wound. The z-stacks enables capturing of the depth of the cell layer as well as an in-focus plane across the wound. Furthermore, the series of images can be put together to a video collection of the images, with the click of a button.
We demonstrate an optimized protocol for detection of migration in the keratinocyte cell line HaCaT. We tested Lactoferrin and its N-terminal peptide, Lactoferricin, from humans and cows, to analyze their effect on migration as these molecules have been demonstrated to have numerous applications as antimicrobial and immune modulating molecules22,23. The four compounds were compared to untreated HaCaT cells and epidermal growth factor (EGF) was used as a positive control.