Open Access
9 May 2020 Monitoring calcium-induced epidermal differentiation in vitro using multiphoton microscopy
Monika Malak, Julie Grantham, Marica B. Ericson
Author Affiliations +
Abstract

Significance: Research in tissue engineering and in vitro organ formation has recently intensified. To assess tissue morphology, the method of choice today is restricted primarily to histology. Thus novel tools are required to enable noninvasive, and preferably label-free, three-dimensional imaging that is more compatible with futuristic organ-on-a-chip models.

Aim: We investigate the potential for using multiphoton microscopy (MPM) as a label-free in vitro approach to monitor calcium-induced epidermal differentiation.

Approach: In vitro epidermis was cultured at the air–liquid interface in varying calcium concentrations. Morphology and tissue architecture were investigated using MPM based on visualizing cellular autofluorescence.

Results: Distinct morphologies corresponding to epidermal differentiation were observed. In addition, Ca2  +  -induced effects could be distinguished based on the architectural differences in stratification in the tissue cultures.

Conclusions: Our study shows that MPM based on cellular autofluorescence enables visualization of Ca2  +  -induced differentiation in epidermal skin models in vitro. The technique has potential to be further adapted as a noninvasive, label-free, and real-time tool to monitor tissue regeneration and organ formation in vitro.

1.

Introduction

Current trends in tissue engineering aim for the development of organ-on-a-chip models, potentially enabling personalized drug delivery.1 Organ-on-a-chip modeling allows for a three-dimensional (3-D) cell culture in microfluidic devices, mimicking the organotypic environment in health and disease.2 This type of advanced tissue engineering is expected to facilitate a shift in science toward more reliable human-oriented organ modeling; however, tools enabling fast, 3-D, and high-resolution investigation of tissue morphology and architecture in real time are lacking. Histology, presently being the routine method for microanatomic examination of the tissue, requires extensive sample alteration by fixation, mechanical sectioning, and subsequent staining. Histology is therefore destructive, time-consuming, and cumbersome for the assessment of in vitro formed tissues. Recent advancements in optical tissue clearing methodology enable the use of confocal laser scanning microscopy in thicker tissues and could potentially replace histological analysis.35 Although optical tissue clearing enables deeper optical penetration3 and can be used in combination with exogenous fluorophores4 or endogenous fluorophores in transgenic animals,5 it requires tissue fixation and is therefore not a suitable approach for live tissue imaging. Thus techniques enabling real-time, label-free observation of organ formation would be desirable. Real-time and noninvasive imaging would not only allow for immediate control of culturing conditions but also provide refined methodology to study, for example, pharmacodynamics and kinetics.

Epidermis, the outermost skin layer, provides the physical and chemical barrier between the external environment and the human body and is important in the context of percutaneous absorption and transdermal drug delivery. Epidermis is formed in a complex process of epidermal differentiation. Keratinocytes, the main epidermal components, proliferate in the basal layer and undergo terminal differentiation while migrating vertically toward the skin surface. During differentiation, keratinocytes exhibit morphological and metabolic changes. The cells lose the organelles and form hexagonally shaped flat cornified envelopes at the surface of the skin.6 During this process, the biochemical composition of keratinocytes changes, particularly in the context of keratin expression. Proliferating cells in the basal layer express keratin 5 (K5) and 14 (K14), while differentiating cells express keratin 1(K1) and 10 (K10).7

Modern in vitro skin research concentrates on obtaining epidermis through the 3-D culture of human keratinocytes at air–liquid interfaces, where the cells are grown on membranes enabling nutrient delivery from one side of the membrane and contact with air on the other.810 Such 3-D culturing can be achieved on an acellular matrix such as a polycarbonate membrane1012 or a cellular matrix such as a collagen matrix populated with fibroblasts13 to mimic fibroblast–keratinocyte paracrine interactions in native human skin.14,15 As with other organ culture models, present techniques for assessing in vitro formed skin are primarily destructive, and noninvasive methodologies are therefore desired.

The main methods used for noninvasive, label-free dermatological evaluations, both clinically and experimentally, are optical coherence tomography (OCT),16 reflectance confocal microscopy (RCM),17 and multiphoton microscopy (MPM),18,19 all techniques operating in the near-infrared (NIR) regime. Although OCT gives a possibility for deep-tissue imaging and imaging of large surface areas, it lacks resolution at the cellular level.16 Both RCM and MPM offer cellular resolution and similar imaging depth in skin;18,20 however, the principles behind the techniques differ. The imaging contrast in RCM is primarily dependent on the variability of the refractive index,20 while MPM is based on visualizing fluorescence.21 When applied to noninvasive and label-free investigations of the skin, MPM is primarily based on two-photon excitation of intrinsic cellular fluorophores, such as nicotinamide adenine dinucleotide (NADH), flavin adenine dinucleotide (FAD), and keratin.2226 Additional MPM modalities, such as fluorescence lifetime imaging (FLIM) or spectral detection,2729 would enable further fluorophore separation. This can provide information regarding cellular metabolism30 to complement morphological data, making MPM a suitable noninvasive imaging technology to use in combination with in vitro tissue culturing. Although FLIM and spectral detection analysis are beyond the scope of the presented work, MPM has been chosen for imaging due to its multimodal capacities that are of future interest. Furthermore, photodamage in MPM is minimized both by operating fs-pulsed NIR laser light and because the two-photon excitation process is confined to the focal point.31 Recently, MPM has been used for tracking stem cell self-renewal during epidermal differentiation in mice.32 However, most of the MPM skin-related research so far focuses primarily on transdermal drug delivery33 and clinical applications,19 including cancer diagnostics.3436

The aim of this project was to investigate the potential for using MPM to detect cellular autofluorescence to provide a label-free and noninvasive tool to monitor epidermal differentiation in vitro. Of particular interest was developing an approach to visualize changes in the structure and morphology of in vitro skin models under varying Ca2+ concentrations. Extracellular Ca2+ is widely accepted in the scientific community to trigger terminal differentiation in vitro.10,3740 Thus in this work, we utilize the effect of varying the extracellular Ca2+ concentration to influence differentiation and assess MPM as a method to detect morphological changes in in vitro skin cultures.

2.

Materials and Methods

2.1.

Cell Culture

Neonatal human epidermal keratinocytes (HEKn, Thermo Fisher Scientific) were cultured in Epilife® (Thermo Fisher Scientific) growth medium supplemented with 60  μM of Ca2+, 1% human keratinocytes growth supplement (HKGS, Thermo Fisher Scientific), and 0.2% gentamicin/amphotericin (G/A, Thermo Fisher Scientific). The addition of HKGS to the growth medium provides 0.2% bovine pituitary extract, 1  μg/mL recombinant human insulin-like growth factor-I, 0.18  μg/mL hydrocortisone, 5  μg/mL bovine transferrin, and 0.2  ng/mL human epidermal growth factor. HEKn cells were seeded at the density of 2.5×103  cells/cm2 in T-25 flasks in 5 ml of supplemented growth medium and incubated in a humified cell culture incubator at 37°C in 5% CO2 and 95% air. The growth medium was changed every other day until the cells reached 50% confluency and everyday thereafter, and cells were subcultured at 80% confluence.

2.2.

In Vitro Epidermis Culture

For 3-D tissue cultures, an established protocol for in vitro reconstruction of human epidermis at the air–liquid interface was implemented.41 The protocol was modified for the purpose of this study with respect to varying Ca2+ concentrations, the volume of growth medium, and the frequency of growth medium change. A schematic representation of the tissue culture protocol is shown in Fig. 1. The tissue cultures at varying Ca2+ concentrations were reproduced four times in this study. HEKn cells at passage numbers 2–5 were used, corresponding to 2–5 sequential subcultures since the culture initiation. Cells were seeded on polycarbonate filters with a 0.4-μm pore size and a surface area of 1.13  cm2 (Nunc™, Thermo Fisher Scientific) at the density of 2.5×105  cells/cm2 and incubated in a 6-well plate with 2.5 ml of regular culture medium overnight in a humified cell culture incubator at 37°C in 5% CO2 and 95% air. After 24 h of incubation, the growth medium was replaced with 1 ml of fully supplemented Epilife® growth medium: 1% HKGS, 0.2% G/A, 50  μg/ml vitamin C, and calcium with varying concentrations (0.00 mM, 0.03 mM, 0.30, and 3.00 mM). The cells were then exposed to the air–liquid interface by a gentle aspiration of the liquid above the membrane. The cells were then cultured for 14 to 21 days with a daily change of growth medium to allow for epidermis formation. Representative samples (N=4) from each Ca2+ concentration level were cut out of the plastic insert with a sharp scalpel and mounted as intact tissues on a microscope slide for MPM imaging.

Fig. 1

Schematic drawing of the experimental procedure: (a) HEKn cells are seeded on the polycarbonate membrane and cultured in regular growth medium for 24 h; (b) cells are exposed to the air–liquid interface by the aspiration of growth medium from above the cell culture, and the remaining medium is changed to a fully supplemented growth medium; (c) 3-D epidermal structure is formed after 11 days of cell culture; and (d) representative tissue cultures are cut out of the plastic insert and subjected to MPM investigation. The acquisition of the z-stack was initiated at the interface between the polycarbonate membrane and the intended basal cell layer (z=0  μm) and completed at the top of cornified layer (z60  μm, depending on the thickness of the model).

JBO_25_7_071205_f001.png

2.3.

Multiphoton Imaging

Imaging was performed on a multiphoton microscope LSM 710 NLO (Laser Scanning Microscope, Nonlinear Optical Imaging, Carl Zeiss, Jena, Germany). Two different 80-MHz fs-pulsed mode locked lasers were used for imaging: Mai Tai DeepSee (tunable in the wavelength region 700 to 1100 nm) and InSight DeepSee (tunable in the range of 680 to 1300 nm). All in vitro models were imaged with a 750-nm excitation. The laser power was manually increased for the deeper layers in the sample to acquire a visually comparable signal intensity from all z levels. Thus laser power varied in the range of 6 to 30 mW, as measured at the sample, depending on the depth of the imaging, with the lowest laser power being used at the surface of the sample. A water-immersion objective Plan Apochromat 20× (NA 1.0) was used, and autofluorescence in the range of 416 to 735 nm detected with a GaAsP detector. The z stacks were collected using ZEN Software (Carl Zeiss, Jena, Germany), scanning the x,y field of view (FOV) (425×425  μm, 1024×1024  pixels) using a pixel dwell time in a range of 0.79 to 1.58  μs, and a z step size of 1 to 2  μm. Tile imaging was performed by scanning up to 5×5 frames providing an FOV of up to 2125×2125  μm. Image processing was done using ImageJ42,43 (U.S. National Institutes of Health, Bethesda, Maryland) to enhance image contrast and increase the zoom factor.

3.

Results

3.1.

Tissue Architecture

Figure 2 shows representative MPM tile images, i.e., large FOV (2125×2125  μm), acquired from the tissue cultures grown in Ca2+ concentrations ranging from 0.00 to 3.00 mM. The tile imaging confirmed clear structural changes in the tissue architecture of the samples grown at different Ca2+ concentrations. Cells cultured without Ca2+ tended to grow in clusters [Fig. 2(a)], leading to uneven coverage of the polycarbonate membrane, and the cellular architecture was elongated. The cells grown in 0.03 mM Ca2+ [Fig. 2(b)] gave a higher membrane coverage, indicating a higher level of cell proliferation. At this Ca2+ concentration, a sheet-like structure resembling morphologically a cornified layer of in vivo human skin44 was observed with noticeable borders between the cells [highlighted by the blue region of interest (ROI) in Fig. 2(b)]. The cells cultured in 0.30 mM Ca2+ gave a more uniform coverage of the membrane [Fig. 2(c)], although some degree of clustering could be observed. Long intercellular bridges were observed at Ca2+ levels 0.00 to 0.30 mM [highlighted as white arrows, Figs. 2(a)2(c)], suggesting the occurrence of intercellular communication. As expected, the cells grown in 3.00 mM Ca2+ formed the most tissue-like structure [Fig. 2(d)], as determined by a uniform and almost completely intact tissue architecture. The variation in fluorescence signal intensity across the sample is most probably dependent on changes in tissue topography during the optical sectioning [highlighted by yellow and white ROIs Fig. 2(d)]. This inherent effect becomes evident during tile scanning. Additional data (Fig. S1 in the Supplementary Material) suggest that epidermal differentiation might be influenced by cell density. Taken together, these results confirm that MPM enables visualization of changes in tissue architecture.

Fig. 2

Large FOV autofluorescence MPM images (2125×2125  μm) of in vitro epidermal models cultured in growth media: (a) without Ca2+, (b) with 0.03 mM Ca2+, (c) with 0.30 mM Ca2+, and (d) with 3.00 mM Ca2+. The white arrows indicate the elongated cellular bridges. The blue ROI in (b) shows the sheet-like structure resembling a cornified layer of in vivo human skin. The yellow ROI in (d) shows the sheet-like structure resembling a cornified layer of in vivo human skin with high-fluorescent signal and the white ROI shows that with low-fluorescent signal. Scale bar is 200  μm. The contrast and brightness in the individual images have been adjusted for clarity.

JBO_25_7_071205_f002.png

3.2.

Morphology

Figure 3 shows individual MPM images acquired at different depths in four tissue samples cultured at different Ca2+ concentrations, together with a schematic representation of the epidermal differentiation process. Clear morphological differences in the cells grown at different Ca2+ concentrations could be identified with MPM (Fig. 3). The schematic drawing [Fig. 3(a)] illustrates the following expected epidermal strata: stratum basale (SB), stratum spinosum (SS), stratum granulosum (SG), and stratum corneum (SC). The MPM images were marked as intended strata (iSB, iSS, iSG, and iSC) based on the depth in the model and the observed morphology of the cells to facilitate the correlation of epidermal structure to autofluorescent features observed in native human skin.44 As expected, the cells formed distinct layers, which differed structurally, and exhibited morphological differences dependent on the Ca2+ concentration.

Fig. 3

Autofluorescence MPM images corresponding to different strata of 3-D HEKn epidermal models in vitro. (a) Schematic drawing of epidermal strata for comparison (SC, stratum corneum; SG, stratum granulosum; SS, stratum spinosum; and SB, stratum basale). MPM images acquired from tissue models cultured in growth medium: (b) without Ca2+, (c) with 0.03 mM Ca2+, (d) with 0.30 mM Ca2+, and (e) with 3.00 mM Ca2+. The z values represent the distance of the z plane from the polycarbonate membrane, corresponding to the different intended strata (iSC, iSG, and iSB/iSS). Arrows represent: white, nuclei; yellow, granules; blue, cell boundaries; and red, cellular bridges. Scale bar is 50  μm. The contrast and brightness in the individual images have been adjusted for clarity.

JBO_25_7_071205_f003.png

The outermost cellular layer formed in the models was defined as iSC. Cellular structures in the iSC differed significantly depending on the Ca2+ concentration. A thin layer of large flat cells with distinct cell boundaries (blue arrows) resembling the morphology of SC was found in low Ca2+ [0.03  mM, Figs. 3(b) and 3(c)]. However, visible nuclei (white arrows) and small round granules with high-fluorescent signal (yellow arrows) are expected to be found in SG, making the designation of that layer in the model questionable. Additional biochemical analysis is needed to confirm whether the cellular layers at these Ca2+ levels biologically correspond to SC. The tissue structure seen in iSC cultured at high Ca2+ [0.30  mM, Figs. 3(d) and 3(e)] was uniform, with visible cell boundaries (blue arrows) and without nuclei, consistent with SC in native tissue. However, granular structures (yellow arrows) were still visible.

In the iSG layer, the primary flattening of the cells (an event which later leads to iSC formation) could be observed in Figs. 3(b) and 3(c). In cells grown in 0.03 mM Ca2+, intercellular bridges formed. In comparison with MPM imaging of human skin,44 the iSG in Figs. 3(b) and 3(c) did not resemble the native tissue. However, the observed iSG layer in samples at high Ca2+ (0.03  mM) exhibited a low-fluorescent signal with a few nuclei (white arrows) surrounded by small fluorescent granules (yellow arrows). Additionally, a strong fluorescent signal was observed in Fig. 3(e) at z=28  μm originating from small round granules. The distinct cell–cell boarders and nuclei present in the additional samples correlated with the expected SG morphology. This might have been a consequence of the higher cell density observed in iSB/iSS (see also Fig. S3 in the Supplementary Material).

The iSB/iSS panels in Fig. 3 show the transition state between iSB and iSS. Cells that formed iSB/iSS without Ca2+ [Fig. 3(b)] stayed round with a high-fluorescent signal, suggesting that problem with cell adherence might be occurring.45 Cells cultured in 0.03 mM Ca2+ [Fig. 3(c)] grew densely and created intercellular bridges [Fig. 3(c), red arrows]. Basal cells observed in both 0.30 mM and 3.00 mM Ca2+ had large dark nuclei and fluorescent cytoplasm consistent with proper cell adhesion to the polycarbonate membrane45 [Figs. 3(d) and 3(e)]. No significant difference was observed between iSB/iSS in Figs. 3(d) and 3(e). (For complementary data and more detailed morphological analysis, refer to Figs. S2 and S3 in the Supplementary Material.)

4.

Discussion and Conclusions

Here we demonstrate that MPM can be utilized as a label-free and noninvasive technique for the visualization and morphological classification of in vitro epidermal differentiation based on intrinsic tissue fluorescence. We employ MPM to detect Ca2+-induced differences in the tissue architecture and morphology of 3-D in vitro cell cultures. The tissue architecture was visualized with tile imaging, while the individual and zoom-in images provided detailed morphological information at the cellular level. The morphological features observed using MPM agree with histological analysis of in vitro cultured epidermis reported by others41 and resemble MPM images of intrinsic fluorophores from native human skin.44 Histology, currently being the gold standard for microanatomic examination of biological tissues, is destructive and requires extensive tissue processing before imaging. Thus the application of MPM as a label-free, 3-D, and potentially real-time approach to monitor tissue culturing is expected to play an important role in the future development of novel organ-on-a-chip models and advanced tissue engineering.

In this study, two-photon excitation using a 750-nm wavelength generated fluorescence from endogenous chromophores in a label-free manner. It is well known that the autofluorescence in the visible range using two-photon excitation primarily originates from NADH, FAD, and keratin.2226 In this specific study, the visualization of Ca2+-induced morphological changes was of primary interest. It should be noted that similar morphological features could potentially be recognized with other optical modalities, e.g., OCT and RCM. For example, these techniques have already been used for noninvasive in vivo studies of tissue regeneration.46,47 Our rationale for choosing MPM was primarily based on its ability to visualize intrinsic tissue fluorescence, and future work will explore the possibility of combining the morphological data with spectral signatures and FLIM2730 to shed further light on the metabolic aspects of Ca2+-induced in vitro epidermal differentiation in the context of in vitro tissue culturing.

The safety threshold for two-photon excitation imaging with regard to DNA damage and oxidative stress has previously been defined at around 7 mW.48 The average laser power at the sample in our study was in the range of 6 to 30 mW, depending on the imaging depth in the sample, suggesting some damage at the cellular level could occur. However, it should be noted that deep tissue two-photon excitation imaging at the level of 30 mW should not lead to structural damage31 and is considered safe for in vivo human applications. Therefore, repeated laser exposure during tissue culturing and phototoxic aspects should be taken into consideration and should preferably be monitored during further development of the approach.

There are a number of protocols and methods available for in vitro epidermis culture,8,41,49 but so far the tissue models lack hair follicles, sweat glands, and other skin components. Furthermore, in vitro skin models are reported to exhibit a reduced barrier function,50,51 limiting their applicability as model systems in pharmaceutical development. Thus, to develop more complex tissue models, more refined tissue culturing protocols are required, which elevates the need for real-time monitoring to allow for better control of tissue culturing. As demonstrated by this study, MPM can be used to distinguish distinct Ca2+-induced morphological differences. We, therefore, consider that such an approach will improve the investigation of in vitro epidermal differentiation in real time and thereby contribute to an overall better understanding of in vitro organogenesis.

The process of epidermal differentiation and cornification depends on many factors, such as cell density,52 presence of vitamin C,53 exposure to the air–liquid interface,49 keratinocyte-fibroblast paracrine interaction,14 or extracellular Ca2+ levels.39 It is known that intracellular Ca2+ plays an important role in tissue homeostasis and desmosomal structure dynamics after barrier disruption,54 and cytoplasmic Ca2+ elevates just before cornification.55 Additionally, in the case of in vitro epidermis formation, the natural Ca2+ gradient in human skin should be considered: the peak concentration of Ca2+ levels is observed in SG, with a rather high concentration in SB and SS as well, that declines again in SC.56 Therefore, in this study, the cells cultured in low Ca2+ might have committed directly to the formation of SC without going through the earlier phases of differentiation. Additional tissue cultures with a lack of SC formation ( Supplementary Material) support the interpretation that cell density is of importance in epidermal differentiation. It is plausible that those two factors, low extracellular Ca2+ and high cell density, lead to cornification. To confirm this, further studies focusing on the expression of differentiation markers (K5/K14 and K1/K10) are needed. It has previously been reported that a peak of cytoplasmic Ca2+ levels is observed immediately before cornification.55 It is, therefore, possible that the constant extracellular Ca2+ level in the in vitro tissue culture could influence the required decline in intracellular Ca2+, thereby affecting cornification. These aspects together further support the need for a noninvasive visualization tool to enable real-time monitoring of tissue formation and Ca2+-induced effects.

To conclude, we show that intrinsic tissue fluorescence visualized with MPM enables detailed 3-D imaging of morphological and structural features associated with epidermal differentiation in vitro. The expected epidermal layers present in human skin could be observed in the cultured models, and Ca2+-induced effects were clearly discerned. It should be noted that the in vitro skin culture protocols can be further refined to produce cultures fully resembling native human tissue.57,58 It is plausible that high cell density and the real-time control of Ca2+ gradient are, among others, important parameters needed for the development of improved in vitro tissue culturing protocols. For this purpose, MPM provides a feasible approach, potentially enabling real-time tissue culture optimization. Furthermore, MPM in combination with FLIM and spectral detection is expected to add important additional information in order to aid in the distinction of cell differentiation and proliferation. This approach is of interest not only for epidermal differentiation studies but also for any potential organ formation applications, such as personalized drug delivery and transplantation. Thus multimodal autofluorescence MPM is expected to become a significant technology that ultimately enables real-time, noninvasive, and label-free studies of tissue regeneration and organ formation in vitro as well as in vivo.

Disclosures

The authors declare no conflicts of interest.

Acknowledgments

Financial support was obtained from Bo Rydin foundation (No. F16/17) and the Swedish Research Council (No. VR 2015-05002). The Centre for Cellular Imaging at the University of Gothenburg and the National Microscopy Infrastructure, NMI (No. VR-RFI 2016-00968), are acknowledged for providing access to equipment and kind support from the staff. The authors thank Kerryn Elliot of University of Gothenburg, Christina Österlund of Oriflame Cosmetics AB, and David Gustafsson of Emeriti Pharma AB for technical and scientific input.

References

1. 

A. Skardal, T. Shupe and A. Atala, “Organoid-on-a-chip and body-on-a-chip systems for drug screening and disease modeling,” Drug Discov. Today, 21 1399 –1411 (2016). https://doi.org/10.1016/j.drudis.2016.07.003 DDTOFS 1359-6446 Google Scholar

2. 

S. N. Bhatia and D. E. Ingber, “Microfluidic organs-on-chips,” Nat. Biotechnol., 32 760 –772 (2014). https://doi.org/10.1038/nbt.2989 NABIF9 1087-0156 Google Scholar

3. 

R. Samatham, K. G. Phillips and S. L. Jacques, “Assessment of optical clearing agents using reflectance-mode confocal laser scanning microscopy,” J. Innov. Opt. Health Sci., 3 183 –188 (2010). https://doi.org/10.1142/S1793545810001064 Google Scholar

4. 

E. Fernandez and S. Marull-Tufeu, “3D imaging of human epidermis micromorphology by combining fluorescent dye, optical clearing and confocal microscopy,” Ski. Res. Technol., 25 735 –742 (2019). https://doi.org/10.1111/srt.12710 Google Scholar

5. 

D. S. Foster et al., “A clearing technique to enhance endogenous fluorophores in skin and soft tissue,” Sci. Rep., 9 15791 (2019). https://doi.org/10.1038/s41598-019-50359-x SRCEC3 2045-2322 Google Scholar

6. 

E. Candi, R. Schmidt and G. Melino, “The cornified envelope: a model of cell death in the skin,” Nat. Rev., 6 328 –340 (2005). https://doi.org/10.1038/nrm1619 Google Scholar

7. 

E. Fuchs and H. Green, “Changes in keratin gene expression during terminal differentiation of the keratinocyte,” Cell, 19 1033 –1042 (1980). https://doi.org/10.1016/0092-8674(80)90094-X CELLB5 0092-8674 Google Scholar

8. 

F. Groeber et al., “Skin tissue engineering-In vivo and in vitro applications,” Adv. Drug Deliv. Rev., 63 352 –366 (2011). https://doi.org/10.1016/j.addr.2011.01.005 ADDREP 0169-409X Google Scholar

9. 

V. Planz, C. M. Lehr and M. Windbergs, “In vitro models for evaluating safety and efficacy of novel technologies for skin drug delivery,” J. Control. Release, 242 89 –104 (2016). https://doi.org/10.1016/j.jconrel.2016.09.002 JCREEC 0168-3659 Google Scholar

10. 

Y. Poumay et al., “A simple reconstructed human epidermis: preparation of the culture model and utilization in in vitro studies,” Arch. Dermatol. Res., 296 203 –211 (2004). https://doi.org/10.1007/s00403-004-0507-y Google Scholar

11. 

A. Frankart et al., “Epidermal morphogenesis during progressive in vitro 3D reconstruction at the air-liquid interface,” Exp. Dermatol., 21 871 –875 (2012). https://doi.org/10.1111/exd.12020 EXDEEY 0906-6705 Google Scholar

12. 

M. Rosdy and L.-C. Clauss, “Terminal epidermal differentiation of human keratinocytes grown in chemically defined medium on inert filter substrates at the air-liquid interface,” J. Invest. Dermatol., 95 409 –414 (1990). https://doi.org/10.1111/1523-1747.ep12555510 JIDEAE 0022-202X Google Scholar

13. 

A. El-Ghalbzouri et al., “Effect of fibroblasts on epidermal regeneration,” Br. J. Dermatol., 147 230 –243 (2002). https://doi.org/10.1046/j.1365-2133.2002.04871.x BJDEAZ 0007-0963 Google Scholar

14. 

N. Maas-Szabowski, A. Shimotoyodome and N. E. Fusenig, “Keratinocyte growth regulation in fibroblast cocultures via a double paracrine mechanism,” J. Cell Sci., 112 1843 –1853 (1999). JNCSAI 0021-9533 Google Scholar

15. 

H. Smola, G. Thiekötter and N. E. Fusenig, “Mutual induction of growth factor gene expression by epidermal-dermal cell interaction,” J. Cell Biol., 122 417 –429 (1993). https://doi.org/10.1083/jcb.122.2.417 JCLBA3 0021-9525 Google Scholar

16. 

T. Gambichler et al., “Applications of optical coherence tomography in dermatology,” J. Dermatol. Sci., 40 85 –94 (2005). https://doi.org/10.1016/j.jdermsci.2005.07.006 JDSCEI 0923-1811 Google Scholar

17. 

K. S. Nehal, D. Gareau and M. Rajadhyaksha, “Skin imaging with reflectance confocal microscopy,” Semin. Cutan. Med. Surg., 27 37 –43 (2008). https://doi.org/10.1016/j.sder.2008.01.006 Google Scholar

18. 

T.-H. Tsai et al., “Multiphoton microscopy in dermatological imaging,” J. Dermatol. Sci., 56 1 –8 (2009). https://doi.org/10.1016/j.jdermsci.2009.06.008 JDSCEI 0923-1811 Google Scholar

19. 

K. König, “Clinical multiphoton tomography,” J. Biophotonics, 1 13 –23 (2008). https://doi.org/10.1002/jbio.200710022 Google Scholar

20. 

S. T. K. Que et al., “Through the looking glass: basics and principles of reflectance confocal microscopy,” J. Am. Acad. Dermatol., 73 276 –284 (2015). https://doi.org/10.1016/j.jaad.2015.04.047 JAADDB 0190-9622 Google Scholar

21. 

W. R. Zipfel, R. M. Williams and W. W. Webb, “Nonlinear magic: multiphoton microscopy in the biosciences,” Nat. Biotechnol., 21 1369 –1377 (2003). https://doi.org/10.1038/nbt899 NABIF9 1087-0156 Google Scholar

22. 

W. Zheng et al., “Autofluorescence of epithelial tissue: single-photon versus two-photon excitation,” J. Biomed. Opt., 13 054010 (2008). https://doi.org/10.1117/1.2975866 JBOPFO 1083-3668 Google Scholar

23. 

T. Luo et al., “Spectral imaging technology of epithelial tissue based on two-photon excited fluorescence and second-harmonic generation,” Front. Optoelectron., 1 33 –38 (2008). https://doi.org/10.1007/s12200-008-0031-3 Google Scholar

24. 

S. Huang, A. A. Heikal and W. W. Webb, “Two-photon fluorescence spectroscopy and microscopy of NAD(P)H and flavoprotein,” Biophys. J., 82 2811 –2825 (2002). https://doi.org/10.1016/S0006-3495(02)75621-X BIOJAU 0006-3495 Google Scholar

25. 

A. Pena et al., “Spectroscopic analysis of keratin endogenous signal for skin multiphoton microscopy,” Opt. Express, 13 6268 –6274 (2005). https://doi.org/10.1364/OPEX.13.006268 OPEXFF 1094-4087 Google Scholar

26. 

A. C. Croce and G. Bottiroli, “Autofluorescence spectroscopy and imaging: a tool for biomedical research and diagnosis,” Eur. J. Histochem., 58 320 –337 (2014). https://doi.org/10.4081/ejh.2014.2461 Google Scholar

27. 

M. Roberts et al., “Non-invasive imaging of skin physiology and percutaneous penetration using fluorescence spectral and lifetime imaging with multiphoton and confocal microscopy,” Eur. J. Pharm. Biopharm., 77 469 –488 (2011). https://doi.org/10.1016/j.ejpb.2010.12.023 EJPBEL 0939-6411 Google Scholar

28. 

I. Munro et al., “Toward the clinical application of time-domain fluorescence lifetime imaging,” J. Biomed. Opt., 10 051403 (2005). https://doi.org/10.1117/1.2102807 JBOPFO 1083-3668 Google Scholar

29. 

G. Lu and B. Fei, “Medical hyperspectral imaging: a review,” J. Biomed. Opt., 19 010901 (2014). https://doi.org/10.1117/1.JBO.19.1.010901 JBOPFO 1083-3668 Google Scholar

30. 

O. I. Kolenc and K. P. Quinn, “Evaluating cell metabolism through autofluorescence imaging of NAD(P)H and FAD,” Antioxid. Redox Signal., 30 875 –889 (2019). https://doi.org/10.1089/ars.2017.7451 Google Scholar

31. 

L. Dalbosco et al., “Photodamage in deep tissue two-photon optical biopsy of human skin,” J. Biophotonics, 8 816 –825 (2015). https://doi.org/10.1002/jbio.201400083 Google Scholar

32. 

K. R. Mesa et al., “Homeostatic epidermal stem cell self-renewal is driven by local differentiation,” Cell Stem Cell, 23 677 –686.e4 (2018). https://doi.org/10.1016/j.stem.2018.09.005 Google Scholar

33. 

K. Licha and C. Olbrich, “Optical imaging in drug discovery and diagnostic applications,” Adv. Drug Deliv. Rev., 57 1087 –1108 (2005). https://doi.org/10.1016/j.addr.2005.01.021 ADDREP 0169-409X Google Scholar

34. 

M. A. Calin, “Optical techniques for the noninvasive diagnosis of skin cancer,” J. Cancer Res. Clin. Oncol., 139 1083 –1104 (2013). https://doi.org/10.1007/s00432-013-1423-3 JCROD7 1432-1335 Google Scholar

35. 

M. Balu et al., “Distinguishing between benign and malignant melanocytic nevi by in vivo multiphoton microscopy,” Cancer Res., 74 2688 –2697 (2014). https://doi.org/10.1158/0008-5472.CAN-13-2582 CNREA8 0008-5472 Google Scholar

36. 

M. Balu et al., “In vivo multiphoton microscopy of basal cell carcinoma,” JAMA Dermatol., 151 1068 –1074 (2015). https://doi.org/10.1001/jamadermatol.2015.0453 Google Scholar

37. 

M. Rinnerthaler et al., “Skin aging, gene expression and calcium,” Exp. Gerontol., 68 59 –65 (2015). https://doi.org/10.1016/j.exger.2014.09.015 EXGEAB 0531-5565 Google Scholar

38. 

S. E. Lee and S. H. Lee, “Skin barrier and calcium,” Ann. Dermatol., 30 265 –275 (2018). https://doi.org/10.5021/ad.2018.30.3.265 Google Scholar

39. 

H. Hennings et al., “Calcium regulation of growth and differentiation of mouse epidermal cells in culture,” Cell, 19 245 –254 (1980). https://doi.org/10.1016/0092-8674(80)90406-7 CELLB5 0092-8674 Google Scholar

40. 

L. Micallef et al., “Effects of extracellular calcium on the growth- differentiation switch in immortalized keratinocyte HaCaT cells compared with normal human keratinocytes,” Exp. Dermatol., 18 143 –151 (2009). https://doi.org/10.1111/j.1600-0625.2008.00775.x EXDEEY 0906-6705 Google Scholar

41. 

E. De Vuyst et al., “Reconstruction of normal and pathological human epidermis on polycarbonate filter,” Methods Mol. Biol., 1195 191 –201 (2014). https://doi.org/10.1007/7651_2013_40 Google Scholar

42. 

C. T. Rueden et al., “ImageJ2: ImageJ for the next generation of scientific image data,” BMC Bioinf., 18 529 (2017). https://doi.org/10.1186/s12859-017-1934-z BBMIC4 1471-2105 Google Scholar

43. 

J. Schindelin et al., “Fiji: an open-source platform for biological-image analysis,” Nat. Methods, 9 676 –682 (2012). https://doi.org/10.1038/nmeth.2019 1548-7091 Google Scholar

44. 

J. Paoli et al., “Multiphoton laser scanning microscopy on non-melanoma skin cancer: morphologic features for future non-invasive diagnostics,” J. Invest. Dermatol., 128 1248 –1255 (2008). https://doi.org/10.1038/sj.jid.5701139 JIDEAE 0022-202X Google Scholar

45. 

A. Huttenlocher, R. R. Sandborg and A. F. Horwitz, “Adhesion in cell migration,” Curr. Opin. Cell Biol., 7 697 –706 (1995). https://doi.org/10.1016/0955-0674(95)80112-X COCBE3 0955-0674 Google Scholar

46. 

G. D. Glinos et al., “Optical coherence tomography for assessment of epithelialization in a human ex vivo wound model,” Wound Repair Regen., 25 1017 –1026 (2017). https://doi.org/10.1111/wrr.12600 Google Scholar

47. 

M. A. L. M. Boone et al., “Recellularizing of human acellular dermal matrices imaged by high-definition optical coherence tomography,” Exp. Dermatol., 24 349 –354 (2015). https://doi.org/10.1111/exd.12662 EXDEEY 0906-6705 Google Scholar

48. 

U. K. Tirlapur et al., “Femtosecond near-infrared laser pulses elicit generation of reactive oxygen species in mammalian cells leading to apoptosis-like death,” Exp. Cell Res., 263 88 –97 (2001). https://doi.org/10.1006/excr.2000.5082 ECREAL 0014-4827 Google Scholar

49. 

M. Pruniéras, M. Régnier and D. Woodley, “Methods for cultivation of keratinocytes with an air-liquid interface,” J. Invest. Dermatol., 81 S28 –S33 (1983). https://doi.org/10.1111/1523-1747.ep12540324 JIDEAE 0022-202X Google Scholar

50. 

M. Ponec et al., “Characterization of reconstructed skin models,” Ski. Pharmacol. Appl. Ski. Physiol., 15 4 –17 (2002). https://doi.org/10.1159/000066682 Google Scholar

51. 

H. Niehues et al., “3D skin models for 3R research: the potential of 3D reconstructed skin models to study skin barrier function,” Exp. Dermatol., 00 1 –11 (2018). https://doi.org/10.1111/exd.13531 EXDEEY 0906-6705 Google Scholar

52. 

Y. Poumay and M. R. Pittelkow, “Cell density and culture factors regulate keratinocyte commitment to differentiation and expression of suprabasal Kl/Kl0 keratins,” J. Invest. Dermatol., 104 271 –276 (1995). https://doi.org/10.1111/1523-1747.ep12612810 JIDEAE 0022-202X Google Scholar

53. 

M. Ponec et al., “The formation of competent barrier lipids in reconstructed human epidermis requires the presence of vitamin C,” J. Invest. Dermatol., 109 348 –355 (1997). https://doi.org/10.1111/1523-1747.ep12336024 JIDEAE 0022-202X Google Scholar

54. 

A. Celli et al., “Endoplasmic reticulum calcium regulates epidermal barrier response and desmosomal structure,” J. Invest. Dermatol., 136 1840 –1847 (2016). https://doi.org/10.1016/j.jid.2016.05.100 JIDEAE 0022-202X Google Scholar

55. 

T. Murata et al., “Transient elevation of cytoplasmic calcium ion concentration at a single cell level precedes morphological changes of epidermal keratinocytes during cornification,” Sci. Rep., 8 6610 (2018). https://doi.org/10.1038/s41598-018-24899-7 SRCEC3 2045-2322 Google Scholar

56. 

P. M. Elias et al., “Origin of the epidermal calcium gradient: regulation by barrier status and role of active vs passive mechanisms,” J. Invest. Dermatol., 119 1269 –1274 (2002). https://doi.org/10.1046/j.1523-1747.2002.19622.x JIDEAE 0022-202X Google Scholar

57. 

T. Baltazar et al., “Three dimensional bioprinting of a vascularized and perfusable skin graft using human keratinocytes, fibroblasts, pericytes, and endothelial cells,” Tissue Eng. Part A, 26 227 –237 (2020). https://doi.org/10.1089/ten.tea.2019.0201 1937-3341 Google Scholar

58. 

G. Sriram et al., “Full-thickness human skin-on-chip with enhanced epidermal morphogenesis and barrier function,” Mater. Today, 21 326 –340 (2018). https://doi.org/10.1016/j.mattod.2017.11.002 MATOBY 1369-7021 Google Scholar

Biography

Monika Malak is a PhD student in the Biomedical Photonics group at the University of Gothenburg in Sweden. She received her BSc degree in cosmetic chemistry at Adam Mickiewicz University in Poznan, Poland, and her MSc degree in chemistry at the University of Gothenburg, Sweden, in 2017. Her research interests include epidermal differentiation, wound healing, skin health and use of multiphoton microscopy for clinical investigations.

Julie Grantham is a principle investigator in mammalian cell biology focusing upon the CCT molecular chaperone required for folding actin and tubulin. Grantham’s research interests include CCT interactions with the cytoskeleton, cancer cell biology, protein biochemistry and cell imaging. She received her PhD in biochemistry (1998) from The University of Kent, UK, studied CCT during a Post-doc at the Institute of Cancer Research, UK then established a research group at the University of Gothenburg (2004).

Marica B. Ericson is principal investigator of the Biomedical Photonics group, with an interdisciplinary track record from optical spectroscopy to clinical applications. Her research focus on advanced optical microscopy techniques for biomedical studies. He has a PhD in physical chemistry from Chalmers University of Technology and has clinical research training as Post Doc at Sahlgrenska University Hospital. In 2010, she became an associate professor in physics, and is from 2018 full professor in physical chemistry at University of Gothenburg.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Monika Malak, Julie Grantham, and Marica B. Ericson "Monitoring calcium-induced epidermal differentiation in vitro using multiphoton microscopy," Journal of Biomedical Optics 25(7), 071205 (9 May 2020). https://doi.org/10.1117/1.JBO.25.7.071205
Received: 27 September 2019; Accepted: 27 April 2020; Published: 9 May 2020
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
KEYWORDS
Calcium

Tissues

In vitro testing

Skin

3D modeling

Visualization

Tissue optics

RELATED CONTENT


Back to Top