Skip to main content
Molecular Biology of the Cell logoLink to Molecular Biology of the Cell
. 2020 May 15;31(11):1103–1111. doi: 10.1091/mbc.E19-10-0565

A role for keratins in supporting mitochondrial organization and function in skin keratinocytes

Kaylee Steen a,, Desu Chen b, Fengrong Wang a,, Ritankar Majumdar c, Song Chen c, Surinder Kumar d, David B Lombard d,e, Roberto Weigert b, Abigail G Zieman a,§, Carole A Parent a,c,e, Pierre A Coulombe a,e,f,*
Editor: Diana Toivolag
PMCID: PMC7353162  PMID: 32213122

Abstract

Mitochondria fulfill essential roles in ATP production, metabolic regulation, calcium signaling, generation of reactive oxygen species (ROS), and additional determinants of cellular health. Recent studies have highlighted a role for mitochondria during cell differentiation, including in skin epidermis. The observation of oxidative stress in keratinocytes from Krt16 null mouse skin, a model for pachyonychia congenita (PC)–associated palmoplantar keratoderma, prompted us to examine the role of Keratin (K) 16 protein and its partner K6 in regulating the structure and function of mitochondria. Electron microscopy revealed major anomalies in mitochondrial ultrastructure in late stage, E18.5, Krt6a/Krt6b null embryonic mouse skin. Follow-up studies utilizing biochemical, metabolic, and live imaging readouts showed that, relative to controls, skin keratinocytes null for Krt6a/Krt6b or Krt16 exhibit elevated ROS, reduced mitochondrial respiration, intracellular distribution differences, and altered movement of mitochondria within the cell. These findings highlight a novel role for K6 and K16 in regulating mitochondrial morphology, dynamics, and function and shed new light on the causes of oxidative stress observed in PC and related keratin-based skin disorders.

INTRODUCTION

Keratinocytes, the primary cell type that constitutes the skin epidermis, must be able to proliferate, move unidirectionally, assemble, and remodel strong adhesive sites as they differentiate and resist mechanical stress. A major family of proteins that impacts all of these functions are the keratin (K) intermediate filaments (IFs), which are regulated in a tissue-type, differentiation-dependent and context-specific manner (Fuchs and Green, 1980; Fuchs, 1995). The human genome features 54 distinct and conserved keratin genes that are partitioned into type I and type II subtypes of IF sequences (Schweizer et al., 2006). Type I and type II keratin genes are expressed in a pairwise manner and their protein products interact obligatorily to form heteropolymeric 10-nm- wide IFs (Fuchs, 1995). Mutations in keratin genes have been linked to a variety of skin disorders exhibiting a broad range of tissue level and cellular phenotypes (McGowan, 1998). One such keratin pair, the type II K6 and type I K16, is primarily expressed in ectoderm-derived epithelial appendages in adult skin under normal conditions (Fuchs, 1995; McGowan, 1998; Bernot et al., 2002). The mature interfollicular epidermis, interestingly, does not express either K6 or K16 unless it experiences injury, UV exposure, or other stresses (McGowan, 1998; Rotty and Coulombe, 2012; Lessard et al., 2013). Mutations in either KRT6A, KRT6B, KRT6C, or KRT16 (usually, dominantly acting missense alleles) can cause PC (McLean et al., 1995; Leachman et al., 2005; Lehmann et al., 2019). The most clinically significant aspect of PC is palmoplantar keratoderma (PPK), which is acutely painful and presents as thick calluses developing in the palms and especially soles as a result of oxidative stress and misregulated innate immunity and epidermal homeostasis (Lessard et al., 2013; Kerns et al., 2016).

In addition to forming and functioning as filamentous networks, keratins are known to regulate signaling pathways through protein–protein interactions and modulate organelle processes (Nishizawa et al., 2005). For instance, there is an emerging connection between mitochondrial biology and IFs that has the potential to alter the cellular levels of reactive oxygen species (ROS) and metabolic flux (Nishizawa et al., 2005; Tao et al., 2009; Silvander et al., 2017). As mentioned above, our laboratory has previously reported that normal redox balance requires functional K16 via Nrf2 activation and glutathione synthesis. In the case of PC-related PPK, as modeled in Krt16 null mice, an imbalance in redox homeostasis precedes the appearance of lesions and can be rescued using a Nrf2 activator (Kerns et al., 2016). These observations prompted us to investigate mitochondria as a source of dysfunction because this organelle is a major hub of ROS production and is key to cell energetics and redox homeostasis. In addition, we previously reported on ultrastructural anomalies in late embryonic skin of Krt5 null mice (Alvarado and Coulombe, 2014), whereas others have described that K8, a type II keratin expressed in simple epithelia, modulate mitochondrial network formation (Tao et al., 2009; Silvander et al., 2017). Here, we report that the lack of K16 and, to a greater extent, the lack of K6 impair mitochondrial cristae formation, respiration, and dynamics in skin keratinocytes. These findings suggest that disruption of mitochondrial-keratin interactions, which in turn leads to impaired cellular and redox homeostasis, is related to oxidative stress that precedes PPK lesions.

RESULTS AND DISCUSSION

As previously reported, mice homozygous for a Krt6a/Krt6b double-null allele are born with the expected frequency but rapidly develop oral lesions that hamper their postnatal growth and results in their untimely death within a week postbirth (Wong et al., 2000). We used transmission electron microscopy (TEM) to compare the ultrastructural features of epidermis and mitochondria, in particular in late stage (E18.5) embryonic Krt6a/Krt6b null and WT back skin. Low magnification surveys of epoxy-embedded tissue sections show that the epidermis of Krt6a/Krt6b homozygous null mice is intact and shows a normal morphology (Supplemental Figure 1, A and B). In contrast, examinations at higher magnifications reveal that, relative to control, mitochondria in epidermal keratinocytes lacking both keratins 6a and 6b proteins (K6a/K6b) exhibit several anomalies with respect to shape and cristae organization (Figure 1, A–D). The mitochondria in mutant skin exhibit a swollen appearance with little to no intact cristae (Figure 1, B and D), in contrast to the elongated and electron-dense morphology seen in normal control tissue (Figure 1, A and C). To quantify these observations, we categorized mitochondria as intact (cristae running all the way through a single mitochondria), partially abnormal (some cristae observed but not fully intact), and severely abnormal (no cristae; note: representative images are shown in Supplemental Figure 1, C–E). This confirmed that significantly more mitochondria show a severely abnormal ultrastructure compared with control tissue (Figure 1E). While these anomalies could be the result of inefficient fission and/or fusion leading to disorganized cristae (Figure 1, B and D; Chen and Chan, 2009; Buck et al., 2016; Burman et al., 2017), we did not observe any major expression differences in relevant biomarkers (Mfn1, Mfn2, Opa1, and Drp1) with the exception of a small increase in Mfn2 mRNA in Krt6a/Krt6b null keratinocytes compared with WT cells cultured in primary conditions (Figure 1F). We observed a modest trend toward lower mRNA levels for the mitochondrial markers cytochrome c oxidase subunit 4, succinate dehydrogenase, translocase of the inner membrane (Tim23), complex III subunit 2, and pyruvate dehydrogenase (PDH) in Krt6a/Krt6b null keratinocytes relative to WT, with Tim23 and PDH reaching statistical significance (Figure 1G). However, there were no differences observed at the protein level with these markers (unpublished data), suggesting that fission and fusion processes do not directly contribute to mitochondrial defects. Finally, we did not observe any change in mitophagy markers responsible for mitochondrial turnover (unpublished data), which is consistent with data gathered from keratinocytes of PC patients with K6a mutations (Lehmann et al., 2019; see Results and Discussion). Of note, we previously reported on the occurrence of similar ultrastructural defects in mitochondria from Krt5 null E18.5 mouse epidermis (Alvarado and Coulombe, 2014). The loss of another IF protein, desmin, was also found to induce mitochondrial swelling and matrix disruption in cardiac muscle. Importantly, the mitochondria in desmin-null cardiac muscle display a very similar phenotype to that seen in Krt6a/Krt6b null skin (see Figure 1B and Milner et al., 2000). This suggests that, as is the case for other IFs, the K6/K16 filament network likely plays a direct role in mitochondrial architecture.

FIGURE 1:

FIGURE 1:

Transmission electron microscopy of E18.5 back skin. (A–D) Six pups were analyzed from WT and Krt6a/Krt6b null littermates. Images are shown at lower (A, B; bar equals 2 μm) and higher (C, D; bar equals 500 nm) magnification for each genotype. ka, keratin aggregates; kf, keratin filaments; mi, mitochondrion; Nu, nucleus. (E) Quantification of the frequency of mitochondria per cell that appeared intact, partially abnormal, or severely abnormal (representative images of each category are shown in Supplemental Figure 1, C–E). (F, G) Analysis of specific mRNA transcripts in total RNA samples. Keratinocytes were isolated from P1 WT and Krt6a/Krt6b null littermates and seeded at equal cell density for culture. Total RNA was isolated and analyzed. Gene expression of mitochondrial markers was normalized to 18S RNA in each sample. n = 6 and three independent experiments were performed. Student’s t test was used with significance set at p < 0.05.

Keratin proteins physically interact with several cellular organelles (Tao et al., 2009; Lee et al., 2012; Feng and Coulombe, 2015; Silvander et al., 2017), including mitochondria. We next compared the subcellular distribution of K16, for which we have a high titer (monospecific) antibody (Bernot et al., 2002; Lessard and Coulombe, 2012) to that of PDH using high-resolution confocal microscopy (Airyscan technology) in WT newborn mouse skin keratinocytes in primary culture. The signal for K16 closely aligns with that of PDH, which otherwise is polarized toward the perinuclear space (Figure 2, A–C). When using conventional confocal microscopy, we find that the absolute spatial distribution of the mitochondria (as measured by PDH) is altered when either K6 or K16 is missing. The PDH signal is redistributed to the entire cytoplasm in Krt6a/Krt6b null keratinocytes in primary culture, with a higher PDH signal at the cell periphery compared with the perinuclear localization in WT keratinocyte controls (Figure 2, D and E; quantitation in Figure 2F). This effect was also observed in spontaneously immortalized keratinocytes (SIMEKs) lacking Krt16 compared with WT SIMEKs (unpublished data). These findings suggest that keratin IFs containing K6 and/or K16 may directly or indirectly impact the organization of mitochondria in epidermal keratinocytes. Loss of K6 or K16 leads to a differential dispersion of mitochondria throughout the cell, with the potential to disrupt the physiological signaling capacity of this organelle.

FIGURE 2:

FIGURE 2:

Indirect immunofluorescence for K16 and pyruvate dehydrogenase (PDH) in keratinocytes in primary culture. (A–C) Keratinocytes were isolated from P1 WT and Krt16 null mouse strain and cultured in primary conditions. Images were acquired using an LSM 800 Airyscan mode. Bars equal 20 μm. (D, E) Z-stack images of PDH staining in newborn P1 WT and Krt6a/Krt6b null skin keratinocytes in primary culture. Dashed lines depict the cell periphery and nucleus. (F) Graphs depict PDH signal intensity distribution in the cytoplasm, as the intensity fraction of the total intensity with respect to the distance from the nucleus or the distance to the nucleus normalized to the spacing between the nucleus and the cell boundary. The curves are the average intensity over 18 Krt6a/Krt6b null cells and 34 WT cells. Images were acquired using Z-stack and maximal projection with an LSM 800 confocal mode. Bars equal 20 μm.

Cells rely on the electron transport chain (ETC) of the mitochondria to produce ATP through the reduction and oxidation of ETC protein complexes from electrons donated from the tricarboxylic acid (TCA) cycle (Buck et al., 2016). Efficient operation of this complex process requires that cristae be densely packed inside mitochondria to keep the ETC complexes close together for electron transport (Cogliati et al., 2016; Leveille et al., 2017). If such a continuity is not maintained, electrons can move back into the mitochondrial matrix, react with molecular oxygen, and produce excess ROS (Ford and Bromberg, 2014; Buck et al., 2015, 2016). The presence of abnormal mitochondrial ultrastructure led us to hypothesize that the absence of either K6a/K6b or K16 protein leads to imbalances in ROS levels. To test this, we measured the total ROS in WT and Krt6a/Krt6b null keratinocytes cultured under normal and stressed conditions through exposure to tert-butyl hydrogen peroxide (TBHP). Cells lacking K6a/K6b consistently displayed a trend of higher ROS levels relative to WT under baseline conditions and this reached statistical significance when stressed with TBHP (Supplemental Figure 2A). A similar trend was observed in Krt16 null keratinocytes in primary culture, though it did not reach statistical significance (Supplemental Figure 2B). We repeated this assay in spontaneously immortalized cells isolated from WT and Krt16 null mice and found that, similar to the Krt6a/Krt6b null ones, immortalized cells lacking K16 displayed higher levels of ROS compared with control cells (Supplemental Figure 2C).

ROS have been implicated in many forms of cellular dysfunction and can directly damage mitochondria (Guo et al., 2013; Kalogeris et al., 2014; Zorov et al., 2014). To explore how increased ROS affects mitochondrial function in cells lacking either K6a/K6b or K16, we measured mitochondrial respiration using the Seahorse Mito Stress Test Kit (Figure 3A). Keratinocytes isolated from both Krt6a/Krt6b null and Krt16 null mice (P1) showed a significant reduction in basal and maximal respiration compared with WT cells (Figure 3, B and D). Null keratinocytes also displayed a reduced proton leak (Figure 3C), suggesting that there may be an overall reduction in uncoupling protein activity or increased permeability of the inner mitochondrial membrane, reducing overall electron movement across the ETC (Bornhovd et al., 2006; Cogliati et al., 2016). Interestingly, maximal respiration for all cell populations did not exceed basal respiration following carbonyl cyanide p-trifluoromethoxyphenylhydrazone (FCCP) treatment. We repeated these experiments, varying the media and drug conditions, but always observed the same results. While this response is not common, it has been previously observed by others (Nicholas et al., 2017; Soukupova et al., 2017; Logan et al., 2018). This reality suggests that newborn mouse skin keratinocytes in primary cell culture are already maximally respiring even at a resting state. This finding was further supported by reduced membrane potential as measured by tetramethylrhodamine ethyl ester perchlorate (TMRE) fluorescence in both Krt6a/Krt6b null and Krt16 null keratinocytes (Figure 3E). Interestingly, other IFs, namely vimentin, have also been shown to maintain membrane potential, and loss of this interaction alters mitochondrial positioning and physiological activity (Chernoivanenko et al., 2015).

FIGURE 3:

FIGURE 3:

Seahorse analysis of mitochondrial function. Skin keratinocytes (4 × 104) from P1 WT, Krt6a/Krt6b null, and Krt16 null mice were seeded in primary culture. Analyses (XFe96 instrument) were done using the Agilent protocol for mitochondrial stress test assay (cf. Materials and Methods). Samples were normalized by cell density and mitochondrial basal respiration, maximal respiration, and proton leak were determined. (A) Mitochondrial respiration was assessed under baseline conditions to measure basal respiration. Oligomycin treatment (ATP synthase inhibitor) was applied to measure proton leak and mitochondrial-linked respiration, FCCP (fluoro-carbonyl cyanide-4-phenylhydrazone) treatment (proton uncoupler) to measure maximal respiration, and rotenone/antimycin A (complex I and III inhibitor) to measure spare respiratory capacity. The Krt6a/Krt6b null and Krt16 null cells each exhibited lower levels of (B) basal respiration, (C) proton leak, and (D) maximal respiration with no change in ATP production or spare respiratory capacity (unpublished data). n = 10–16 from three independent experiments. Student’s t test was used with significance set at p < 0.05. (E) Skin keratinocytes were isolated from P1 WT and Krt6a/Krt6b null littermates (left) or WT and Krt16 null littermates (right) and cultured in primary conditions. Cells (7 × 104) were seeded in a 96-well plate and labeled with 500 nM TMRE (tetramethylrhodamine ethyl ester perchlorate) for 30 min, and fluorescence was then measured and normalized to the WT controls. Cells were normalized by measuring total DNA using CyQuant dye. n = 5–20 from three independent experiments performed. Student’s t test was used with significance set at p < 0.05.

Mitochondria are highly dynamic organelles that constantly undergo fission and fusion to achieve an organization that regulates and optimizes several cellular functions in response to exogenous signals (Chen and Chan, 2009, 2017). Respiration and ROS production are regulated by and can impact mitochondrial dynamics (Ott et al., 2007; Anso et al., 2013; Guo et al., 2013; Hamanaka and Chandel, 2013; Buck et al., 2016). To assess whether and how K6/K16 alter mitochondria dynamics, we labeled skin keratinocytes in culture (from P1 Krt6a/Krt6b and Krt16 WT and null littermates, respectively) with MitoTracker Red and performed live cell imaging in real time to monitor mitochondrial movement under normal cellular conditions. In keratinocytes null for either keratin, mitochondria showed no alteration in size or circularity but exhibited an increased speed of movement (Samudio et al., 2005; unpublished data and Figure 4). Representative findings can be visualized in Supplemental Figure 3 and Supplemental movies 1–4. A quantitative assessment of the movement of individual mitochondrial profiles, as an overall average (Figure 4, A and B) and as a function of mitochondrial size (Figure 4, C and D), is reported for Krt6a/Krt6b null and Krt16 null newborn keratinocytes relative to their respective WT controls. The increased rate of movement (speed) was unrelated to the size of mitochondrial profiles (represented by the x-axis), although smaller mitochondrial shapes showed a greater rate of movement in the two null genotypes compared with controls (Figure 4, C and D). Further, our data conveys a heterogeneity of mitochondrial populations even within the same cell type and individual cells (Supplemental Figure 4). Mitochondria in Krt6a/Krt6b null and Krt16 null keratinocytes also appeared to move in a disorganized or random manner, but we were unable to reliably quantify this behavior. Overall, these data demonstrate a difference in the movement of mitochondrial profiles in keratinocytes lacking K6a/K6b or K16. While the live imaging performed does not directly measure mitochondrial fission and fusion rates, it extends the findings of disrupted mitochondrial ultrastructure (Figure 1) and reduced respiration (Figure 3), pointing to a state of mitochondrial instability.

FIGURE 4:

FIGURE 4:

Live imaging of mitochrondrial dynamics. 50,000 skin keratinocytes were obtained from P1 WT, Krt6a/Krt6b null, and Krt16 null mice and seeded for primary culture overnight. Cells were then labeled with 50 nM of MitoTracker Red and live cell imaging was performed for 5 min to track labeled mitochondria of individual cells. Representative movies are shown in Supplemental movies 1–4. (A, B) Average speed of the tracked mitochondrial shapes with areas between 1 μm2 and 10 μm2 in WT and Krt6a/Krt6b null keratinocytes (A) and WT and Krt16 null keratinocytes (B). In the box plot, the scatter points represent each cell. The whiskers represent the range of the data and the box indicates the 25th–75th percentile. The notch with the middle line indicates the median and the cross represents the outlier. In both box plots, p-value < 0.0001. (C, D) The average speed is tracked as a function of mitochondria profile size in the WT and Krt6a/Krt6b null keratinocytes (C) and the WT and Krt16 null keratinocytes (D). Data from three independent experiments (n > 5 cells for each).

Movie S1.

Download video file (9.6MB, mp4)

Representative movies of fluorescently-labeled mitochondria in primary cultures of WT keratinocytes (paired with Krt6a/Krt6b null keratinocytes shown in Movie 2). Keratinocytes were labeled with 50nM MitoTracker Red for 5 minutes and videos were taken using a 0.11 laser power, 0.5ms intervals, and 500 cycles with Airyscan processing. A single cell was analyzed per video and data from multiple cells was collated to generate the statistical data reported in Figure 4.

Movie S2.

Download video file (6.8MB, mp4)

Representative movies of fluorescently-labeled mitochondria in primary cultures of Krt6a/Krt6b null keratinocytes (paired with WT keratinocytes shown in Movie 1). Keratinocytes were labeled with 50nM MitoTracker Red for 5 minutes and videos were taken using a 0.11 laser power, 0.5ms intervals, and 500 cycles with Airyscan processing. A single cell was analyzed per video and data from multiple cells was collated to generate the statistical data reported in Figure 4.

Movie S3.

Download video file (9.9MB, mp4)

Representative movies of fluorescently-labeled mitochondria in primary cultures of WT keratinocytes (paired with Krt16 null keratinocytes shown in Movie 4). Keratinocytes were labeled with 50nM MitoTracker Red for 5 minutes and videos were taken using a 0.11 laser power, 0.5ms intervals, and 500 cycles with Airyscan processing. A single cell was analyzed per video and data from multiple cells was collated to generate the statistical data reported in Figure 4.

Movie S4.

Download video file (7.2MB, mp4)

Representative movies of fluorescently-labeled mitochondria in primary cultures of Krt16 null keratinocytes (paired with WT keratinocytes shown in Movie 3). Keratinocytes were labeled with 50nM MitoTracker Red for 5 minutes and videos were taken using a 0.11 laser power, 0.5ms intervals, and 500 cycles with Airyscan processing. A single cell was analyzed per video and data from multiple cells was collated to generate the statistical data reported in Figure 4.

Keratin proteins play a multifaceted role in keratinocyte homeostasis, and mutations in keratin genes lead to a diverse array of phenotypic outcomes. The K6/K16 keratin pairing, which is robustly wound-inducible, supports and promotes a number of cellular functions including structural integrity (Wong et al., 2000; Wong and Coulombe, 2003; Lessard and Coulombe, 2012), cell migration (Rotty and Coulombe, 2012; Wang et al., 2018), keratinocyte differentiation (Zieman et al., 2019b), regulation of innate immunity (Lessard et al., 2013), and redox homeostasis (Kerns et al., 2016, 2018). Disruption of many of these cellular roles is poised to play a role in the pathophysiology of PC, in particular, oral and palmoplantar keratoderma lesions (Zieman and Coulombe, 2019a). Mitochondria represent the main cellular protagonist for regulation of ROS, which it achieves mainly via promoting the integrity and efficiency of the ETC. Silvander et al. (Silvander et al., 2017) reported that loss of keratin 8 reduced mitochondrial membrane potential and ATP production in pancreatic β-cells, a novel role that involves an interaction with trichoplein (TCHP). Nishizawa et al. (Nishizawa et al., 2005) provided evidence that K6a/K6b and especially K16 physically interact with TCHP. Here show that K6a/K6b and K16 regulate the organization and function of mitochondria in skin keratinocytes, a novel finding that has potential significance not only for the keratinocyte differentiation (Hamanaka and Chandel, 2013) and epithelial homeostasis (Hamanaka et al., 2013; Rath et al., 2018; Lehmann et al., 2019), but also for the pathophysiology of keratin mutation-based skin epithelial disorders (McLean et al., 1995; McGowan, 1998; Wong and Coulombe, 2003; Kerns et al., 2016; Lehmann et al., 2019). We could not produce reliable evidence for a physical interaction between TCHP and K16 in skin keratinocytes, unfortunately, owing in part to the unavailability of a good antibody to TCHP (unpublished data); addressing this issue awaits the availability of suitable reagents. In addition, the occurrence of markedly reduced levels of K16 protein in Krt6a/Krt6b double-null mouse skin keratinocytes, in both tissue and cell culture settings [7, 16, 41], may help explain the more severe mitochondrial phenotype they exhibit relative to Krt16 null keratinocytes.

ROS levels are significantly higher in keratinocytes null for Krt6a/Krt6b or Krt16 relative to WT controls. These findings correlate with reductions in both basal and maximal mitochondrial respiration in the Krt6a/Krt6b and Krt16 ablated states, as measured by Seahorse analysis. The latter also indicated that there is reduced proton leak in the two keratin null settings, which is further supported by the reduced membrane potential prevailing in mitochondria. These findings are consistent with the damaged and disorganized cristae observed in mitochondria of Krt6a/Krt6b null epithelial back skin. In addition, mitochondria tend to be localized to the perinuclear cytoplasm in wild-type keratinocytes but show a broader dispersion in keratinocytes lacking K6a/K6b or K16. Of note, keratin filaments themselves readily concentrate to the perinuclear region, particularly in suprabasal keratinocytes of surface epithelia (Lee et al., 2012; Feng and Coulombe, 2015). Accordingly, alterations in keratin filament properties resulting from the loss of either K6a/K6b or K16 may prevent the mitochondria from concentrating near the nucleus. The subcellular localization of mitochondria has a major impact on cell signaling and function, including migration, calcium signaling, and gene expression (Mironov and Symonchuk, 2006; Boldogh and Pon, 2007; Desai et al., 2013; da Silva et al., 2014; Yu et al., 2017). Alteration of this steady state is an exciting area for future studies to determine the associated effects on keratinocyte function. ROS production and mitochondrial function are also closely linked to the latter’s dynamics and network formation, and indeed differences were measured in mitochondria motility in Krt6a/Krt6b null and Krt16 null keratinocytes relative to WT. These data suggest that keratins help stabilize mitochondria spatially and structurally in keratinocytes, and that disrupting these processes has significant consequences for cell signaling, bioenergetics, and redox homeostasis (Chen and Chan, 2009; Buck et al., 2016; Altieri, 2017; Burman et al., 2017).

Our findings significantly extend a recent study showing that mitophagy turnover is impaired in cultures of immortalized keratinocytes derived from individuals with PC (Lehmann et al., 2019), thus adding to the evidence that anomalies in mitochondria and in redox balance may play a significant role in the pathophysiology of PC-associated PPK. They also add to a growing body of evidence linking keratin (Silvander et al., 2017) and other types of IFs, notably vimentin and desmin, to mitochondrial regulation and function (Milner et al., 2000; Chernoivanenko et al., 2015; Matveeva et al., 2015; Schwarz and Leube, 2016). Like microtubules and actin filaments, IFs participate in controlling mitochondrial motility, likely through stabilization, which in turn regulates ATP production, calcium signaling, and intermediary metabolism (Straube-West et al., 1996; David et al., 1998; Wagner et al., 2003; Schwarz and Leube, 2016). Many issues remain unresolved, however. First, while others provided evidence that K16 and K6 can bind to trichoplein, a candidate mitochondrial linker protein (Nishizawa et al., 2005; Silvander et al., 2017), there is still a need to definitively identify the mechanism in which keratin filaments interact with the mitochondria. Secondly, we do not know whether the mitochondrial dysfunction is leading to increased ROS production or whether the damage is a result of an already established oxidative stress. This is significant because activation of oxidative stress pathways precedes PPK lesions in mice (Kerns et al., 2016, 2018). The findings reported here provide a platform to answer these questions along with a deeper understanding of keratins’ active role in regulating mitochondrial function, structure, and dynamics.

MATERIALS AND METHODS

Mouse handling

All experiments involving mice were reviewed and approved by the Unit for Laboratory Animal Medicine at the University of Michigan. The Krt6a/Krt6b null (Wong et al., 2000) and Krt16 null (Lessard and Coulombe, 2012) mouse strains (C57BL/6 background) were maintained under specific pathogen-free conditions, fed chow and water ad libitum, and bred and genotyped as described. All studies involving E18.5 back skin tissue and newborn skin (P1-P2 pups) keratinocytes in primary culture were performed using littermates with a WT or homozygous null genotype.

Reagents

Primary antibodies used include anti-PDH (Abcam), anti-FLAG M2 Magnetic Beads (Sigma-Aldrich), anti-TCHP (abcam), anti–β-actin, anti-K16 (Bernot et al., 2002), and anti-K6 (McGowan, 1998). MitoTracker CMXRos (ThermoFisher) was used for live cell imaging of mitochondria. Secondary antibodies used included HRP-conjugated secondary antibodies (Sigma-Aldrich) and Alexa Fluor 488, Alexa Fluor 594, and Alexa Fluor 647 (ThermoFisher).

Tissue preparation for sectioning and microscopy

Krt6a/Krt6b heterozygous mating pairs were set up and E18.5 pups were harvested and genotyped (Wang et al., 2016). Tissue sectioning for immunostaining was performed by submerging back skin into OCT (Sakura Finetek), freezing at −20°C, and preparing 5 μM sections using CryoStar NX50 (Thermo Scientific), and stained as described below. For TEM, E18.5 back skin from WT and Krt6a/Krt6b null littermates were placed flat at the bottom of a 24-well plate and treated with 1 ml of fixative (2.5% glutaraldehyde, 3% paraformaldehyde [PFA] in Sorenson’s buffer). The samples were then given to the University of Michigan’s Microscopy and Image Analysis Laboratory (MIL) core for thin-sectioning. Sections were imaged using the JEOL 1400 Plus TEM at the MIL.

Keratinocyte culture

WT and Krt6a/Krt6b null, and WT and Krt16 null littermates were taken at P1. The skin was removed and left in 0.25% Trypsin overnight at 4°C, and the following day keratinocyte isolation was performed as described (Rotty and Coulombe, 2012). Cells were counted and seeded on collagen I–coated plates in differentiation-promoting mKER media for 2 d unless specified otherwise. Keratinocytes express K6 isoform and K16 proteins under these circumstances [4,5,7,60]. SIMEK cell lines were generated from Krt16 null and WT littermates as described in Reichelt and Haase (2010).

Mitochondrial respiration

Mitochondrial stress test was performed to measure oxygen consumption rate (OCR), using the XFe96 Extracellular Flux Analyzer (Seahorse Bioscience, Billerica, MA; now Agilent Technologies, Santa Clara, CA), as per the manufacturer’s instructions. Briefly, 4 × 104 keratinocytes from the back skin of WT and Krt6a/Krt6b null, and WT and Krt16 null littermates were plated in complete mKER media supplemented with 10% (vol/vol) heat-inactivated fetal bovine serum into each well of 96-well Seahorse microplates. Cells were then incubated in 5% COat 37°C for 24 h.  Following incubation, cells were washed twice, incubated (in a non-CO2 incubator at 37°C), and analyzed in XF assay media (nonbuffered DMEM containing 25 mM glucose, 2 mM l-glutamine, and 1 mM sodium pyruvate, pH 7.4) at 37°C, under basal conditions and in response to 1 μM oligomycin, 2 μM FCCP, and 0.5 μM rotenone + 0.5 μM antimycin from the Seahorse XF Cell Mito Stress Test Kit (Agilent Technologies). Data was analyzed by the Seahorse XF Cell Mito Stress Test Report Generator. OCR (pmol O2/min) values were normalized to the cell count using Hoechst dye in the final prot injection and transferred to the Cytation 5 (BioTek, Winooski, VT).

Measurement of ROS

Keratinocytes were cultured in primary conditions from WT and Krt6a/Krt6b null, and WT and Krt16 null littermates. Cells were seeded in the Corning 96-well clear bottom black polystyrene microplates at a cell density of 5 × 104. Due to the fast-growing nature of the immortalized cells, 2.5 × 104 cells were seeded for the WT and Krt16 null SIMEKs. The protocol from Abcam’s DCFDA cell ROS detection assay kit was used to measure total cellular ROS at baseline and with increasing concentrations of TBHP.

Measurement of mitochondrial membrane potential

Keratinocytes were isolated from WT and Krt6a/Krt6b null, and WT and Krt16 null littermates and seeded in the Corning 96-well clear bottom black polystyrene microplates at a cell density of 7 × 104. Following 48 h of culturing, cells were incubated with 500 nM of TMRE dye for 30 min followed by two washes with phosphate-buffered saline (PBS) containing 0.2% bovine serum albumin (BSA). Fluorescence was measured at Ex/Em = 549/575 nm and normalized to cell number using the CyQUANT kit (ThermoFisher). Normalization was done by aspirating the media and freezing the cells at −80°C overnight. The cells were then labeled with CyQuant dye to measure total DNA.

Analysis of mitochondrial dynamics

Live cell imaging was performed to track the mitochondrial dynamics in WT, Krt6a/Krt6b null, and Krt16 null keratinocytes. Cells were seeded in collagen I–coated wells at a density of 50K cells to reach about 60–70% confluency in order to image individual cells (Nunc Lab-Tek II chambered coverglass with a no. 1.5 borosilicate glass bottom for 48 h). Before imaging, cells were incubated in phenol red–free DMEM 0.5% BSA media containing 50 nM of MitoTracker red for 15 min at 37°C. Cells were then washed once with phenol red–free DMEM 0.5% BSA media and imaged using the Zeiss Airyscan LSM 880. Videos were taken with a 0.11 laser power, 0.5-ms intervals, and 500 cycles with Airyscan processing. Due to imaging limitations, we were not able to resolve individual mitochondria. The objects segmented and measured most likely represent clusters of mitochondria (mitochondrial shapes). For each time frame, mitochondrial shapes were segmented using the snake algorithm, an active contour model implemented with custom MATLAB scripts. In brief, this algorithm defined the outlines of mitochondrial shapes by a set of representative points along the boundary, that is, “snakes” (Xu and Prince, 1998). Snake contours were initiated with the convex hulls of the objects and converged to fit the boundary in the energy minimization iterations defined by force fields determined by brightness gradient of the fluorescence. Parameters used to identify outlines of mitochondrial shapes were as follows: 1) the snake elasticity parameter α (0.01), 2) the viscosity parameter γ (0.05), and 3) the external force weight κ (0.5). Two mitochondrial shapes were considered the same object if they overlapped for more than 60% in two successive frames. Mitochondrial shapes that appear to fragment or fuse in successive frames were excluded from the quantification. The speed of the center of mass and the area of the tracked objects were determined.

Indirect immunofluorescence and quantitation

Immunostaining (indirect immunofluorescence) was performed on keratinocytes and epidermal back skin tissue sections. Samples were fixed in 4% PFA for 10 min at room temperature, washed in PBS, blocked in 5% normal goat serum/0.1% Triton X-100/ PBS for 1 h at room temperature, incubated in primary antibody solution overnight at 4°C, washed in PBS, incubated in secondary antibody solution for 1 h, incubated with DAPI for 5 min, washed in PBS, and mounted in FluorSave Reagent Mounting Medium (EMD Millipore) before visualization using a Zeiss LSM 800 fluorescence confocal microscope. To quantify the mitochondrial PDH distribution throughout the cell, the nucleus and the cell boundaries were manually segmented with Fiji. Each boundary loop was then smoothed in MATLAB and 100 points on the boundary with even spacing were picked to partition the loop into 100 sections. The points on the cell boundary were linked to corresponding points on the cell nucleus boundary, keeping the circular order of the points and the total distance between paired points at the minimum. In this way, the area between the nucleus and the cell boundary was segmented into 100 regions. For each region (and the associated boundary points) the local distance between the nucleus and the cell boundary was defined as the distance between the middle points of the local nucleus and cell boundary sections. The distance of each pixel in the segmented regions to the nucleus was defined as the distance between the pixel to the middle point of the local nucleus boundary section. As some cells touched other cells, only the regions with cell boundary not touching other cells were manually selected for further analysis. To quantify the average PDH fluorescence intensity with respect to the distance to the nucleus, the distance was binned every 10 pixels (1.6 μm). The average PDH fluorescence intensity of pixels in each distance bin was then calculated.

Biochemical analyses

RNA was isolated from primary keratinocytes cells using the NucleoSpin RNA kit (Macherey-Nagel) followed by cDNA preparation (iScript cDNA synthesis kit; Bio-Rad). All oligonucleotide primers (see Supplemental Table 1) were designed using the mus musculus RefSeq through the NCBI database. K16-flag protein (C-terminally tagged) was made using the pcDNA™3.1 Directional TOPO™ Expression Kit (ThermoFisher) using primers for the mouse Krt16 gene with flag peptide sequence on the 3’ end (Supplemental Table 1).

Statistical analyses

All statistical analyses, unless indicated elsewhere, were performed using a two-tailed Student’s t test.

Supplementary Material

Acknowledgments

We thank Samarth Setru for technical assistance and all members of the Coulombe laboratory for support. These studies were supported by R01 grants no. AR044232 and no. AR042047 (to P.A.C.), R01 grant no. GM101171 (to D.B.L.), and the 5T32AR007197-40 T32 grant no. AR007197 (trainee support for K.S.) from the National Institutes of Health.

Abbreviations used:

ATP

adenosine triphosphate

Cor2

complex III subunit 2

Cox4

cytochrome c oxidase

Drp1

dynamin-related protein-1

E18.5

embryonic day 18.5

ETC

electron transport chain

FCCP

carbonyl cyanide p-trifluoromethoxyphenylhydrazone

IF

intermediate filaments

K (6, 16)

keratin 6, 16 protein

kf

keratin filaments

Krt (5, 6a, 6b, 16)

keratin 5, 6a, 6b, 16 gene

Mfn1

mitofusin-1

Mfn2

mitofusin-2

mi

mitochondria

Nrf2

nuclear factor erythroid 2-related factor 2

Nu

nucleus

Opa1

mitochondrial dynamin like GTPase

P1

postnatal day 1

PC

pachyonychia congenita

PDH

pyruvate dehydrogenase

PPK

palmoplantar keratoderma

ROS

reactive oxygen species

Sdh

succinate dehydrogenase

SIMEKs

spontaneously immortalized keratinocytes

TBHP

Tert-Butyl hydroperoxide

TCA

tricarboxylic acid

TCHP

trichoplein

TEM

transmission electron microscopy

Tim23

translocase of the inner membrane-23

TMRE

tetramethylrhodamine ethyl ester

WT

Wild type.

Footnotes

This article was published online ahead of print in MBoC in Press (http://www.molbiolcell.org/cgi/doi/10.1091/mbc.E19-10-0565) on March 26, 2020.

REFERENCES

  1. Altieri DC. (2017). Mitochondria on the move: emerging paradigms of organelle trafficking in tumour plasticity and metastasis. Br J Cancer , 301–305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Alvarado DM, Coulombe PA. (2014). Directed expression of a chimeric type II keratin partially rescues keratin 5-null mice. J Biol Chem , 19435–19447. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Anso E, Mullen AR, Felsher DW, Mates JM, Deberardinis RJ, Chandel NS. (2013). Metabolic changes in cancer cells upon suppression of MYC. Cancer Metab , 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bernot KM, Coulombe PA, McGowan KM. (2002). Keratin 16 expression defines a subset of epithelial cells during skin morphogenesis and the hair cycle. J Invest Dermatol , 1137–1149. [DOI] [PubMed] [Google Scholar]
  5. Boldogh IR, Pon LA. (2007). Mitochondria on the move. Trends Cell Biol , 502–510. [DOI] [PubMed] [Google Scholar]
  6. Bornhovd C, Vogel F, Neupert W, Reichert AS. (2006). Mitochondrial membrane potential is dependent on the oligomeric state of F1F0-ATP synthase supracomplexes. J Biol Chem , 13990–13998. [DOI] [PubMed] [Google Scholar]
  7. Buck MD, O’Sullivan D, Geltink RIK, Curtis JD, Chang CH, Sanin DE, Qiu J, Kretz O, Braas D, van der Windt GJW, et al. (2016). Mitochondrial dynamics controls T cell fate through metabolic programming. Cell , 63–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Buck MD, O’Sullivan D, Pearce EL. (2015). T cell metabolism drives immunity. J Exp Med , 1345–1360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Burman JL, Pickles S, Wang C, Sekine S, Vargas JNS, Zhang Z, Youle AM, Nezich CL, Wu X, Hammer JA, et al. (2017). Mitochondrial fission facilitates the selective mitophagy of protein aggregates. J Cell Biol , 3231–3247. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Chen HC, Chan DC. (2009). Mitochondrial dynamics-fusion, fission, movement, and mitophagy-in neurodegenerative diseases. Hum Mol Genet , R169–R176. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Chen H, Chan D. (2017). Control of mitochondrial function by fusion and fission. Biophys J , 179a. [Google Scholar]
  12. Chernoivanenko IS, Matveeva EA, Gelfand VI, Goldman RD, Minin AA. (2015). Mitochondrial membrane potential is regulated by vimentin intermediate filaments. FASEB J , 820–827. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Cogliati S, Enriquez JA, Scorrano L. (2016). Mitochondrial cristae: where beauty meets functionality. Trends Biochem Sci , 261–273. [DOI] [PubMed] [Google Scholar]
  14. da Silva AF, Mariotti FR, Maximo V, Campello S. (2014). Mitochondria dynamism: of shape, transport and cell migration. Cell Mol Life Sci , 2313–2324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. David G, Barrett JN, Barrett EF. (1998). Evidence that mitochondria buffer physiological Ca2+ loads in lizard motor nerve terminals. J Physiol , 59–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Desai SP, Bhatia SN, Toner M, Irimia D. (2013). Mitochondrial localization and the persistent migration of epithelial cancer cells. Biophys J , 2077–2088. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Feng X, Coulombe PA. (2015). Complementary roles of specific cysteines in keratin 14 toward the assembly, organization, and dynamics of intermediate filaments in skin keratinocytes. J Biol Chem , 22507–22519. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Ford ML, Bromberg JM. (2014). Fueling memory: how cellular metabolism drives T cell immunity. Am J Transplant , 1953. [Google Scholar]
  19. Fuchs E. (1995). Keratins and the skin. Annu Rev Cell Dev Biol , 123–153. [DOI] [PubMed] [Google Scholar]
  20. Fuchs E, Green H. (1980). Changes in keratin gene expression during terminal differentiation of the keratinocyte. Cell , 1033–1042. [DOI] [PubMed] [Google Scholar]
  21. Guo CY, Sun L, Chen XP, Zhang DS. (2013). Oxidative stress, mitochondrial damage and neurodegenerative diseases. Neural Regen Res , 2003–2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Hamanaka RB, Chandel NS. (2013). Mitochondrial metabolism as a regulator of keratinocyte differentiation. Cell Logist , e25456. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Hamanaka RB, Glasauer A, Hoover P, Yang S, Blatt H, Mullen AR, Getsios S, Gottardi CJ, DeBerardinis RJ, Lavker RM, et al. (2013). Mitochondrial reactive oxygen species promote epidermal differentiation and hair follicle development. Sci Signal , ra8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Kalogeris T, Bao YM, Korthuis RJ. (2014). Mitochondrial reactive oxygen species: a double edged sword in ischemia/reperfusion vs preconditioning. Redox Biol , 702–714. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Kerns ML, Hakim JM, Lu RG, Guo Y, Berroth A, Kaspar RL, Coulombe PA. (2016). Oxidative stress and dysfunctional NRF2 underlie pachyonychia congenita phenotypes. J Clin Invest , 2356–2366. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Kerns ML, Hakim JMC, Zieman A, Lu RG, Coulombe PA. (2018). Sexual dimorphism in response to an NRF2 inducer in a model for pachyonychia congenita. J Invest Dermatol , 1094–1100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Leachman SA, Kaspar RL, Fleckman P, Florell SR, Smith FJ, McLean WH, Lunny DP, Milstone LM, van Steensel MA, Munro CS, et al. (2005). Clinical and pathological features of pachyonychia congenita. J Invest Dermatol Symp Proc , 3–17. [DOI] [PubMed] [Google Scholar]
  28. Lee CH, Kim MS, Chung BM, Leahy DJ, Coulombe PA. (2012). Structural basis for heteromeric assembly and perinuclear organization of keratin filaments. Nat Struct Mol Biol , 707–715. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Lehmann SM, Leube RE, Schwarz N. (2019). Keratin 6a mutations lead to impaired mitochondrial quality control. Br J Dermatol , 636–647. [DOI] [PubMed] [Google Scholar]
  30. Lessard JC, Coulombe PA. (2012). Keratin 16-null mice develop palmoplantar keratoderma, a hallmark feature of pachyonychia congenita and related disorders. J Invest Dermatol , 1384–1391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Lessard JC, Pina-Paz S, Rotty JD, Hickerson RP, Kaspar RL, Balmain A, Coulombe PA. (2013). Keratin 16 regulates innate immunity in response to epidermal barrier breach. Proc Natl Acad Sci USA , 19537–19542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Leveille CF, Mikhaeil JS, Turner KD, Silvera S, Wilkinson J, Fajardo VA. (2017). Mitochondrial cristae density: a dynamic entity that is critical for energy production and metabolic power in skeletal muscle. J Physiol , 2779–2780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Logan S, Pharaoh GA, Marlin MC, Masser DR, Matsuzaki S, Wronowski B, Yeganeh A, Parks EE, Premkumar P, Farley JA, et al. (2018). Insulin-like growth factor receptor signaling regulates working memory, mitochondrial metabolism, and amyloid-β uptake in astrocytes. Mol Metab , 141–155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Matveeva EA, Venkova LS, Chernoivanenko IS, Minin AA. (2015). Vimentin is involved in regulation of mitochondrial motility and membrane potential by Rac1. Biol Open , 1290–1297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. McGowan KACP. (1998). The wound repair-associated keratins 6, 16, and 17. Insights into the role of intermediate filaments in specifying keratinocyte cytoarchitecture. Subcell Biochem , 31. [PubMed] [Google Scholar]
  36. McLean WH, Rugg EL, Lunny DP, Morley SM, Lane EB, Swensson O, Dopping-Hepenstal PJ, Griffiths WA, Eady RA, Higgins C, et al. (1995). Keratin 16 and keratin 17 mutations cause pachyonychia congenita. Nat Genet , 273–278. [DOI] [PubMed] [Google Scholar]
  37. Milner DJ, Mavroidis M, Weisleder N, Capetanaki Y. (2000). Desmin cytoskeleton linked to muscle mitochondrial distribution and respiratory function. J Cell Biol , 1283–1298. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Mironov SL, Symonchuk N. (2006). ER vesicles and mitochondria move and communicate at synapses. J Cell Sci , 4926–4934. [DOI] [PubMed] [Google Scholar]
  39. Nicholas D, Proctor EA, Raval FM, Ip BC, Habib C, Ritou E, Grammatopoulos TN, Steenkamp D, Dooms H, Apovian CM, et al. (2017). Advances in the quantification of mitochondrial function in primary human immune cells through extracellular flux analysis. PLoS One , e0170975. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Nishizawa M, Izawa I, Inoko A, Hayashi Y, Nagata K, Yokoyama T, Usukura J, Inagaki M. (2005). Identification of trichoplein, a novel keratin filament-binding protein. J Cell Sci , 1081–1090. [DOI] [PubMed] [Google Scholar]
  41. Ott M, Gogvadze V, Orrenius S, Zhivotovsky B. (2007). Mitochondria, oxidative stress and cell death. Apoptosis , 913–922. [DOI] [PubMed] [Google Scholar]
  42. Rath E, Moschetta A, Haller D. (2018). Mitochondrial function-gatekeeper of intestinal epithelial cell homeostasis. Nat Rev Gastroenterol Hepatol , 497–516. [DOI] [PubMed] [Google Scholar]
  43. Reichelt J, Haase I. (2010). Establishment of spontaneously immortalized keratinocyte lines from wild-type and mutant mice. Methods Mol Biol , 59–69. [DOI] [PubMed] [Google Scholar]
  44. Rotty JD, Coulombe PA. (2012). A wound-induced keratin inhibits Src activity during keratinocyte migration and tissue repair. J Cell Biol , 381–389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Samudio I, Konopleva M, Hail N, Shi YX, McQueen T, Hsu T, Evans R, Honda T, Gribble GW, Sporn M, et al. (2005). 2-cyano-3,12-dioxooleana-1,9-dien-28-imidazolide (CDDO-Im) directly targets mitochondrial glutathione to induce apoptosis in pancreatic cancer. J Biol Chem , 36273–36282. [DOI] [PubMed] [Google Scholar]
  46. Schwarz N, Leube RE. (2016). Intermediate filaments as organizers of cellular space: how they affect mitochondrial structure and function. Cells , E30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Schweizer J, Bowden PE, Coulombe PA, Langbein L, Lane EB, Magin TM, Maltais L, Omary MB, Parry DA, Rogers MA, et al. (2006). New consensus nomenclature for mammalian keratins. J Cell Biol , 169–174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Silvander JSG, Kvarnstrom SM, Kumari-Ilieva A, Shrestha A, Alam CM, Toivola DM. (2017). Keratins regulate β-cell mitochondrial morphology, motility, and homeostasis. FASEB J , 4578–4587. [DOI] [PubMed] [Google Scholar]
  49. Soukupova J, Malfettone A, Hyrossova P, Hernandez-Alvarez MI, Penuelas-Haro I, Bertran E, Junza A, Capellades J, Giannelli G, Yanes O, et al. (2017). Role of the transforming growth factor-βin regulating hepatocellular carcinoma oxidative metabolism. Sci Rep , 12486. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Straube-West K, Loomis PA, Opal P, Goldman RD. (1996). Alterations in neural intermediate filament organization: functional implications and the induction of pathological changes related to motor neuron disease. J Cell Sci , 2319–2329. [DOI] [PubMed] [Google Scholar]
  51. Tao GZ, Looi KS, Toivola DM, Strnad P, Zhou Q, Liao J, Wei YQ, Habtezion A, Omary MB. (2009). Keratins modulate the shape and function of hepatocyte mitochondria: a mechanism for protection from apoptosis. J Cell Sci , 3851–3855. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Wagner OI, Lifshitz J, Janmey PA, Linden M, McIntosh TK, Leterrier JF. (2003). Mechanisms of mitochondria-neurofilament interactions. J Neurosci , 9046–9058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Wang F, Chen S, Liu HB, Parent CA, Coulombe PA. (2018). Keratin 6 regulates collective keratinocyte migration by altering cell-cell and cell-matrix adhesion. J Cell Biol , 4314–4330. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Wang F, Zieman A, Coulombe PA. (2016). Skin Keratins. Methods Enzymol , 303–350. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Wong P, Colucci-Guyon E, Takahashi K, Gu C, Babinet C, Coulombe PA. (2000). Introducing a null mutation in the mouse K6α and K6β genes reveals their essential structural role in the oral mucosa. J Cell Biol , 921–928. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Wong P, Coulombe PA. (2003). Loss of keratin 6 (K6) proteins reveals a function for intermediate filaments during wound repair. J Cell Biol , 327–337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Xu C, Prince JL. (1998). Snakes, shapes, and gradient vector flow. IEEE Trans Image Process , 359–369. [DOI] [PubMed] [Google Scholar]
  58. Yu C, Wang Y, Peng J, Shen Q, Chen M, Tang W, Li X, Cai C, Wang B, Cai S, et al. (2017). Mitochondrial calcium uniporter as a target of microRNA-340 and promoter of metastasis via enhancing the Warburg effect. Oncotarget , 83831–83844. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Zieman AG, Coulombe PA. (2019a). Pathophysiology of pachyonychia congenita-associated palmoplantar keratoderma: new insight into skin epithelial homeostasis and avenues for treatment. Br J Dermatol , 564–573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Zieman AG, Poll BG, Ma J, Coulombe PA. (2019b). Altered keratinocyte differentiation is an early driver of keratin mutation-based palmoplantar keratoderma. Hum Mol Genet , 2255–2270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Zorov DB, Juhaszova M, Sollott SJ. (2014). Mitochondrial reactive oxygen species (Ros) and ros-induced ros release. Physiol Rev , 909–950. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials


Articles from Molecular Biology of the Cell are provided here courtesy of American Society for Cell Biology

RESOURCES