Abstract
SLC45A2 encodes a putative transporter expressed primarily in pigment cells. SLC45A2 mutations cause oculocutaneous albinism type 4 (OCA4) and polymorphisms are associated with pigmentation variation, but the localization, function, and regulation of SLC45A2 and its variants remain unknown. We show that SLC45A2 localizes to a cohort of mature melanosomes that only partially overlaps with the cohort expressing the chloride channel OCA2. SLC45A2 expressed ectopically in HeLa cells localizes to lysosomes and raises lysosomal pH, suggesting that in melanocytes SLC45A2 expression, like OCA2 expression, results in the deacidification of maturing melanosomes to support melanin synthesis. Interestingly, OCA2 overexpression compensates for loss of SLC45A2 expression in pigmentation. Analyses of SLC45A2- and OCA2-deficient mouse melanocytes show that SLC45A2 likely functions later during melanosome maturation than OCA2. Moreover, the light skin-associated SLC45A2 allelic F374 variant restores only moderate pigmentation to SLC45A2-deficient melanocytes due to rapid proteasome-dependent degradation resulting in lower protein expression levels in melanosomes than the dark skin-associated allelic L374 variant. Our data suggest that SLC45A2 maintains melanosome neutralization that is initially orchestrated by transient OCA2 activity to support melanization at late stages of melanosome maturation, and that a common allelic variant imparts reduced activity due to protein instability.
INTRODUCTION
Melanins are the main source of pigmentation in the skin, hair, and eyes of mammals and other vertebrates. In humans, melanins serve as a barrier to the harmful effects of ultraviolet radiation and play an important role in the development and functioning of the retina (d’Ischia et al., 2015). Melanin synthesis takes place in skin and eye melanocytes and in ocular pigment epithelia within specialized organelles called melanosomes (Seiji et al., 1963; Marks and Seabra, 2001; Hearing, 2005). Heritable defects in melanin synthesis underlie the various forms of oculocutaneous albinism (OCA), characterized by impaired vision and increased susceptibility to skin and ocular cancers (Montoliu et al., 2014). To date, nonsyndromic OCA has been linked to inactivating mutations in eight different genes (Montoliu et al., 2014; Pennamen et al., 2020). Sequence variation at the loci for some of these genes has been linked to variability in skin, hair, and eye color among humans (Lamason et al., 2005; Stokowski et al., 2007; Branicki et al., 2008; Han et al., 2008; Liu et al., 2015; Crawford et al., 2017; Martin et al., 2017; Adhikari et al., 2019). Nevertheless, the molecular function of the majority of the OCA genes has not yet been fully characterized.
OCA type 4 (OMIM #606574) represents 3–12% of total OCA patients in population studies (Gronskov et al., 2009; Wei et al., 2010, 2015; Mauri et al., 2017; Lasseaux et al., 2018) and is due to mutations in the SLC45A2 gene encoding the putative transmembrane transporter SLC45A2 (aka membrane-associated transporter protein, MATP, or antigen isolated from immuno-selected melanoma-1, AIM1) (Newton et al., 2001). Mutations in the homologous gene underlie pigment dilution in a number of vertebrate species, including gorilla, several breeds of dog, tigers, horses, mice, shrew, chickens, pigeons, quail, frogs, fish, and perhaps cattle (Fukamachi et al., 2001; Newton et al., 2001; Mariat et al., 2003; Gunnarsson et al., 2007; Minvielle et al., 2009; Tsuboi et al., 2009; Tsetskhladze et al., 2012; Dooley et al., 2013; Prado-Martinez et al., 2013; Xu et al., 2013; Domyan et al., 2014; Winkler et al., 2014; Wijesena and Schmutz, 2015; Caduff et al., 2017; Rothammer et al., 2017; DeLay et al., 2018), and polymorphisms at the SLC45A2 locus are associated with skin tone differences and skin aging in several human population studies (Yuasa et al., 2006; Soejima and Koda, 2007; Stokowski et al., 2007; Branicki et al., 2008; Han et al., 2008; Cerqueira et al., 2014; Lopez et al., 2014; Liu et al., 2015; Jonnalagadda et al., 2016; Fracasso et al., 2017; Law et al., 2017; Adhikari et al., 2019). OCA4 patients have very low levels of pigmentation and phenotypically resemble OCA2 patients who lack the melanosomal chloride channel, OCA2 (Bellono et al., 2014), suggesting that SLC45A2 plays an important role in melanogenesis (Montoliu et al., 2014). Moreover, primary melanocytes from mice carrying the inactivating underwhite (uw) mutation of Slc45a2 (Newton et al., 2001; Du and Fisher, 2002) are severely hypopigmented (Costin et al., 2003), indicating a melanocyte-intrinsic defect; this would be consistent with the known restriction of SLC45A2 expression to pigment cells and a few other cell types (Harada et al., 2001; Baxter and Pavan, 2002; Loftus et al., 2002; Bin et al., 2015). However, while the 12-transmembrane domain SLC45A2 protein bears weak homology to sucrose transporters in plants and Drosophila (Lemoine, 2000; Newton et al., 2001; Meyer et al., 2011), its function in melanocytes is not understood.
When expressed in yeast, mouse SLC45A2 functions at the plasma membrane as an acid-dependent importer of sugars (sucrose, glucose, or fructose) into the cytosol (Bartölke et al., 2014), suggesting that if SLC45A2 localized to acidic organelles it might facilitate export of a sugar and protons from the lumen to the cytosol. Neutralization of acidic early stage melanosomes is a critical process for melanogenesis (Raposo et al., 2001; Bellono et al., 2014), as the key enzyme in melanogenesis, Tyrosinase (TYR), is minimally active at pH < 6 (Ancans et al., 2001; Halaban et al., 2002). Consistent with a function in proton export and neutralization of acidic organelles, pigmentation of a zebrafish Slc45a2 mutant was rescued upon inhibition of endolysosomal and melanosomal acidification by treatment with bafilomycin A1 (BafA1) or by knockdown of the atp6v1 subunit of the vacuolar ATPase (vATPase; Dooley et al., 2013), and knockdown of SLC45A2 in a pigmented melanoma cell line was reported to result in increased acidification of early stage melanosomes (Bin et al., 2015). However, despite limited evidence for SLC45A2 on melanosomes (Bin et al., 2015), the localization of SLC45A2 within melanocytes has not yet been firmly established and it is not clear whether the effects of SLC45A2 mutants reflect a direct effect of SLC45A2 function on the lumenal environment of melanosomes or an indirect effect due to impaired function of other organelles during melanosome maturation, as appears to be the case for the endolysosomal transporter MFSD12 (Crawford et al., 2017). Moreover, if SLC45A2 indeed functions to neutralize melanosome pH, its function must be coordinated with that of OCA2, a major regulator of melanosomal pH (Bellono et al., 2014). While mice lacking expression of either SLC45A2 or OCA2 each have dramatic coat color dilution (Dickie, 1964; Sweet et al., 1998), mice with hypomorphic mutations in both Slc45a2 and Oca2 are more severely hypopigmented than either mutant alone (Lehman et al., 2000), suggesting that the encoded proteins have distinct functions.
Differences in skin and hair pigmentation among European, Chinese, South American, and South Asian human populations have been ascribed to a single genetic variant in SLC45A2 associated with the SNP rs16891982 (c.1122G>C). This results in a missense mutation p.Leu374Phe (ClinVar ID: 194990) and is correlated with lighter skin, hair, and eyes (Yuasa et al., 2006; Soejima and Koda, 2007; Stokowski et al., 2007; Branicki et al., 2008; Han et al., 2008; Cerqueira et al., 2014; Lopez et al., 2014; Liu et al., 2015; Jonnalagadda et al., 2016; Adhikari et al., 2019). The SLC45A2-F374 variant is nearly fixed in light-skinned human populations (Soejima and Koda, 2007). Residue 374 lies within the eighth predicted transmembrane domain of SLC45A2 (Newton et al., 2001). When introduced into a homologous plant sucrose transporter, the amino acid corresponding to SLC45A2-F374 resulted in a 90% decrease in transporter activity without influencing the affinity for substrate (Reinders and Ward, 2015), and slc45a2 with an introduced F374 mutation was unable to rescue pigmentation in a slc45a2 mutant zebrafish (Tsetskhladze et al., 2012). However, the mechanism underlying the decreased activity of the SLC45A2-F374 variant is not understood.
Analyses of SLC45A2 localization and function in pigment cells have been hindered by the lack of suitable specific antibodies. Here we assess the localization and function of SLC45A2-L374 and -F374 variants in melanosome biogenesis by analyzing epitope-tagged human SLC45A2 expressed in wild-type (WT) melanocytes, Slc45a2-deficient melanocytes from uw mice, and HeLa cells, and by comparing the phenotypes of uw and OCA2-deficient pink-eyed dilute melanocytes. We show that expression of SLC45A2, like that of OCA2, increases the pH of lysosomes and/or late endosomes when expressed ectopically in HeLa cells and that in melanocytes SLC45A2 localizes to melanosomes, where it likely neutralizes the melanosome lumen. We also show that OCA2 and SLC45A2 localize to distinct subsets of melanosomes and that the F374 variant accelerates SLC45A2 degradation but does not alter its localization. Our data indicate that melanosome neutralization is a critical process for the maintenance of eumelanin pigmentation that is regulated at more than one step during melanosome maturation.
RESULTS
Functionality of HA-SLC45A2
Available antibodies to SLC45A2 were not suitable in our hands for immunolocalization analyses. Therefore, we used epitope-tagging to investigate SLC45A2 localization in melanocytes. Human SLC45A2 was tagged at the N- or C-terminus with either the HA11 epitope tag or EGFP and cloned into a retroviral vector. To determine whether the tagged transgenes were functional, they were expressed by recombinant retroviral infection in Slc45a2-deficient melan-uw cells from uw mice (Dickie, 1964). The Slc45a2uw allele encodes a nonfunctional truncated SLC45A2 protein and an undetectable transcript (Newton et al., 2001; Du and Fisher, 2002). Consequently, uw mice (Dickie, 1964; Sweet et al., 1998; Lehman et al., 2000) and primary melanocytes derived from them (Costin et al., 2003) are severely hypopigmented. Likewise, melan-uw cells are very pale compared with WT immortalized melanocytes (melan-Ink4a) from C57BL/6-Ink4a–/– mice (Sviderskaya et al, 2002) (Figure 1, a and b). While expression of the EGFP-tagged proteins failed to consistently restore pigmentation in melan-uw cells (data not shown), expression of the N-terminally HA-tagged human SLC45A2 (HA-SLC45A2) restored partial or full pigmentation in a substantial fraction of cells by 48–72 h postinfection, whereas pigmentation was not restored by expression of a similarly tagged unrelated polytopic protein—the putative sugar-nucleotide transporter, SLC35D3, which plays no role in pigmentation (Chintala et al., 2007) (Figure 1, c–g). Additionally, quantitative analysis of melanin content in melan-uw cells stably expressing HA-SLC45A2 showed pigmentation at levels comparable to those of melan-Ink4a cells (see Figure 5f). These data indicate that HA-SLC45A2 is fully functional in melanocytes and therefore validate its use in defining the localization and biosynthesis of SLC45A2.
HA-SLC45A2 localizes to the limiting membrane of pigmented melanosomes and is partially enriched in a membrane subdomain
To define SLC45A2 localization in melanocytes, HA-SLC45A2 was expressed either stably from recombinant retroviruses in melan-uw cells or by transient transfection in WT melan-Ink4a melanocytes. Cells were then fixed and processed for immunofluorescence microscopy (IFM) with image deconvolution (dIFM) using antibodies to the HA tag and to endogenous markers. In Slc45a2-deficient melan-uw cells, HA-SLC45A2 localized primarily to pigment granules (Figure 2, a, b, and d) often in a ring pattern around the granule (Figure 2b), in two to three puncta associated with the granule exterior (Figure 2a), or both (Figure 2c). The distinct patterns did not correlate with SLC45A2 expression levels. The melanosomes labeled by HA-SLC45A2 overlapped with those harboring the melanosomal enzymes TYR and TYR-related protein-1 (TYRP1) (Figure 2, a, b, and d; overlap was 82.7 ± 1.3% with TYR and 79.2 ± 2.5% with TYRP1). By contrast, HA-SLC45A2-labeled structures overlapped poorly with LAMP2, a membrane protein of lysosomes but not melanosomes, which are distinct organelles in eumelanin-generating melanocytes (Raposo et al., 2001) (Figure 2, c and d; overlap was 34.4% ± 2.9% with LAMP2). Essentially identical results were observed for HA-SLC45A2 transiently expressed in melan-Ink4a cells (Supplemental Figure EV1), which express endogenous SLC45A2. The degree of HA-SLC45A2 labeling on punctate subdomains versus the melanosome limiting membrane was similar in transiently transduced melan-Ink4a and stably transduced melan-uw cells. Together, these data indicate that SLC45A2 localizes to mature melanosomes, where it is often enriched in subdomains associated with the limiting membrane.
SLC45A2 localizes to lysosomes and regulates lysosomal pH when ectopically expressed in HeLa cells
When expressed in non-melanocytic cells, many melanosomal proteins localize to late endosomes and lysosomes (Bouchard et al., 1989; Vijayasaradhi et al., 1995; Calvo et al., 1999; Simmen et al., 1999; Berson et al., 2001; Piccirillo et al., 2006; Sitaram et al., 2009; Ambrosio et al., 2016; Bellono et al., 2016). Indeed, when expressed in HeLa cells and analyzed by dIFM, HA-SLC45A2 was detected on LAMP1-containing lysosomes in distinct punctate microdomains associated with the limiting membrane (Figure 3a), similar to the distribution in some melanosomes in melanocytes. This indicates that SLC45A2 localizes to lysosomes when expressed ectopically in HeLa cells and retains its ability to accumulate in a membrane subdomain.
SLC45A2 was predicted to be a transmembrane transporter that influences melanosome pH (Newton et al., 2001; Bin et al., 2015). We have been unable to directly assess melanosomal pH in melanocytes using common cellular probes for lysosomal pH such as Lysotracker and LysoSensor because in our hands melanocytes fail to accumulate these probes intracellularly. However, we previously showed that the OCA2 chloride channel expressed in HeLa cells localizes to lysosomes and neutralizes their lumenal pH, paralleling its role in neutralizing the lumenal pH of melanosomes to enhance TYR activity and melanogenesis in melanocytes (Bellono et al., 2014). We therefore tested whether SLC45A2 expression affects lysosomal acidification in HeLa cells using the pH-sensitive ratiometric dye LysoSensor DND-160. HeLa cells were transfected with LAMP1-mCherry alone as a negative control (CTRL), mCherry-OCA2 as a positive CTRL, or LAMP1-mCherry and HA-SLC45A2 together to identify HA-SLC45A2-expressing cells by live imaging (cotransfection efficiency measured by immunostaining was >90%). Cells preincubated with LysoSensor DND-160 were imaged at two emission wavelengths, and an average emission ratio was calculated for individual mCherry-LAMP1-positive compartments (see Materials and Methods). The corresponding pH for the average emission ratio was determined using a pH curve generated in each experiment by incubation in buffers with different pH values. Our results show that the average pH of lysosomes containing HA-SLC45A2 was nearly one pH unit higher than the pH of CTRL cells and similar to the pH of mCherry-OCA2-containing lysosomes (Figure 3b). These data indicate that, like OCA2, SLC45A2 can function to raise organellar pH and suggest that in melanocytes SLC45A2 functions physiologically to raise melanosomal pH.
SLC45A2 and OCA2 function at distinct stages of melanosome maturation
The similar function of SLC45A2 and OCA2 in neutralizing organellar pH led us to ask whether these transporters function at the same or distinct stages of melanosome maturation. We first used dIFM to compare the distribution of HA-SLC45A2 and HA-OCA2 to melanosomes labeled by the mature melanosome marker TYRP1 in transiently transfected melan-Ink4a cells. HA-SLC45A2 and TYRP1 were largely present in the same compartments (86.58 ± 1.25% of HA-SLC45A2 in TYRP1-containing structures and 89.17 ± 1.32% of TYRP1 in HA-SLC45A2-containing structures; Figure 4, a and e), and the fluorescence signal intensity within positive compartments was highly correlated (Figure 4c). By contrast, although TYRP1 and OCA2 each primarily localize to subsets of pigment granules (Vijayasaradhi et al., 1991, 1995; Raposo et al., 2001; Sitaram et al., 2009, 2012), they label only partially overlapping populations (58.57 ± 4.87% of HA-OCA2 in TYRP1-containing compartments and 48.66 ± 5.32% of TYRP1 in OCA2-containing compartments; Figure 4, b and e). Moreover, within those overlapping compartments, the fluorescence signal intensities of HA-OCA2 and TYRP1 over background correlated substantially less well than those of HA-SLC45A2 and TYRP1 (Figure 4d). These data suggest that OCA2 and SLC45A2 are enriched in melanosomes of distinct maturation stages, with SLC45A2 present in largely the same subset of mature melanosomes as TYRP1, while OCA2 occupies a partially different subset of melanosomes.
The distinct localization patterns for OCA2 and SLC45A2 suggest that they might regulate the lumenal pH and pigmentation of melanosomes at different maturation stages. We therefore tested for potential differences in melanosome pigmentation in melan-uw cells and immortalized melan-p1 melanocytes from OCA2-deficient pink-eyed dilute mice. Electron microscopy can be used to define four stages of melanosome maturation based on morphology and content of melanin pigments (Seiji et al., 1963). Stages I and II lack pigment, but are distinguished by the presence of disorganized intralumenal fibers (stage I) or well-organized fibrils in parallel intralumenal sheets (stage II). Stage III is defined by the appearance of pigment on the fibrils and stage IV by pigment throughout the organelle. Electron microscopy analyses showed that relative to either WT melan-Ink4a or rescued melan-uw cells stably expressing HA-SLC45A2 (melan-uw:HA-SLC45A2), both melan-uw and melan-p1 cells harbored melanosomes of similar size and number, but with more stage III melanosomes and fewer stage IV melanosomes (Figure 5, a–e). However, only melan-p1 cells contained significantly more stage I/II melanosomes than the CTRLs (Figure 5e). Moreover, although we could not quantify it, the amount of pigment on the fibrils in stage III melanosomes in melan-p1 cells consistently appeared to be lower than in melan-uw cells (Figure 5, b vs. c). Accordingly, quantitative melanin content assays showed that while both melan-uw and melan-p1 had dramatically lower melanin content than melan-Ink4a or melan-uw:HA-SLC45A2 cells, the melanin content of melan-p1 cells was significantly lower than that of melan-uw (Figure 5f). These data indicate that loss of SLC45A2 results in a milder phenotype than loss of OCA2. Taken together, with the data showing that SLC45A2 and OCA2 are found on different subsets of melanosomes (Figure 4), the most likely scenario is that OCA2 is required at an earlier stage of melanization than SLC45A2 during melanosome maturation.
OCA2 overexpression partially compensates for loss of SLC45A2 expression
Given that both OCA2 and SLC45A2 are capable of raising lysosomal pH when expressed in HeLa cells, we tested whether overexpression of either protein could compensate for the loss of the other. HA-SLC45A2, HA-OCA2, or HA-SLC35D3 as a negative CTRL (see Figure 1) were transiently expressed by transfection in either Slc45a2-deficient melan-uw melanocytes or Oca2-deficient melan-p1 melanocytes, and the fraction of HA-positive cells that were pigmented after 3 d was quantified. As expected, very few melan-uw cells expressing HA-SLC35D3 were pigmented above background (19.88 ± 5.76%), whereas most HA-SLC45A2 expressing cells were pigmented (70.7 ± 5.85%; Figure 6, a, b, and g). Surprisingly, a large fraction of HA-OCA2-expressing melan-uw cells were also pigmented (46.37 ± 6.29%; Figure 6, c and g), suggesting that OCA2 overexpression can compensate for the loss of SLC45A2. By contrast, whereas HA-OCA2 expression restored pigmentation to melan-p1 cells (93.17 ± 4.97%), HA-SLC45A2 expression was as ineffective at restoring pigmentation in melan-p1 cells as the negative CTRL HA-SLC35D3 (Figure 6, d–f, h). Thus, overexpression of SLC45A2 cannot compensate for the loss of OCA2. These data are consistent with a model in which sequential function of OCA2 and then SLC45A2 is required to modulate and maintain a nearly neutral pH in melanosomes.
The light skin-associated SLC45A2-F374 variant protein is expressed at lower levels than the dark skin-associated SLC45A2-L374 variant
The major human SLC45A2 allele associated with light skin tone encodes a phenylalanine (F) instead of a leucine (L) at amino acid position 374, within the eighth transmembrane domain of the predicted 12-transmembrane domain-containing protein (Figure 7a). How does this single amino acid substitution impact pigmentation? We reasoned that the F374 variant could affect protein folding/stability, localization to melanosomes, or transporter function within melanosomes. To begin to distinguish between these possibilities, we generated stable melan-uw cells expressing the HA-tagged dark skin-associated L374 variant (as used in Figures 1 – 6), the HA-tagged F374 variant, or HA-SLC35D3 as a CTRL. Bright field microscopy (BF) analysis revealed that cells expressing HA-SLC45A2-F374 were darker than CTRL cells but lighter than cells expressing HA-SLC45A2-L374 (Figure 7b), consistent with published results (Cook et al., 2009). The observed phenotype was confirmed by quantitative melanin content assay, in which cells expressing HA-SLC45A2-F374 harbored significantly more pigment than CTRL cells but less than cells expressing HA-SLC45A2-L374 (Figure 7c). The lower level of pigmentation in cells expressing HA-SLC45A2-F374 did not reflect reduced SLC45A2 mRNA expression, as quantitative RT-PCR analyses showed that melan-uw cells expressing HA-SLC45A2-F374 had 1.25-fold more SLC45A2 mRNA than the WT HA-SLC45A2-L374-expressing cells (Figure 7d). However, immunoblotting analyses of cell lysates for the HA-tagged proteins revealed that the HA-SLC45A2-L374 stable cell line expressed twofold more HA-SLC45A2 than cells stably expressing the HA-SLC45A2-F374 variant (Figure 7, e and f). These data indicate that the reduced pigmentation conferred by the F374 variant is reflected by a posttranslational reduction in SLC45A2 protein content.
To test whether the reduced protein content of the F374 variant reflected increased protein degradation, we assessed the protein stability of each variant over time in stably transduced melan-uw cells. Cells were treated with cycloheximide (CHX) to block new protein synthesis, and the amount of HA-SLC45A2 remaining in cell lysates at different time points was assessed by immunoblotting. While the levels of both variants were substantially reduced by 32 h following CHX treatment, HA-SLC45A2-F374 was degraded at a higher rate than HA-SLC45A2-L374 (L374 half-life, 53.2 h; F374 half-life, 8.5 h) and was nearly completely eliminated by 32 h (Figure 8, a and c). To determine whether the rapid decline in the HA-SLC45A2-F374 variant protein levels were dependent on proteasomal degradation, cells were treated with the proteasome inhibitor MG132 during the CHX chase. MG132 treatment nearly completely blocked the gradual disappearance of HA-SLC45A2-L374 and also blocked the rapid degradation of HA-SLC45A2-F374 at early chase times (Figure 8, b and c). MG132 treatment did not, however, block the slow degradation of HA-SLC45A2-F374 at later time points (Figure 8, b and c). These data indicate that normal turnover of L374 and of the labile fraction of F374 requires proteasome activity, but that slow, long-term degradation of F374 occurs by a proteasome-independent mechanism. To test for the role of endolysosomal degradation, cells were treated with the vATPase inhibitor BafA1 during the CHX chase. BafA1 treatment caused significant cell death by 24 h, but within the first 16 h blocked degradation of both HA-SLC45A2-L374 and -F374, suggesting that degradation was largely mediated in endolysosomes (Supplemental Figure EV2). Importantly, dIFM analysis showed that HA-SLC45A2-F374 colocalized with TYRP1 to a similar extent as HA-SLC45A2-L374 (Figure 8, d and e), indicating that a smaller cohort of nondegraded HA-SLC45A2-F374 variant localizes properly to melanosomes where it functions in supporting elevated pH.
Taken together, these data suggest that the light skin-associated SLC45A2-F374 variant is less stable than the dark skin-associated SLC45A2-L374 variant due to endolysosomal proteolysis that is proteasome-dependent, resulting in lower SLC45A2 activity in melanosomes.
DISCUSSION
SLC45A2 is a critical determinant of skin and eye pigmentation, but until now its localization and functional role in melanogenesis have not been clearly delineated. Using a functional epitope-tagged form of SLC45A2 expressed in immortalized SLC45A2-deficient epidermal mouse melanocytes, we show here that SLC45A2 localizes to a subset of mature melanosomes marked by TYR and TYRP1 expression, where it partially accumulates in subdomains of the organelle outer membrane. When expressed ectopically in HeLa cells, SLC45A2 localizes to subdomains of the lysosomal membrane and functions to increase lysosomal pH, supporting a previously proposed role in neutralizing melanosomes (Bin et al., 2015). Although the melanosomal chloride channel OCA2 also functions to neutralize melanosome pH (Bellono et al., 2014), SLC45A2 localizes to a partially distinct cohort of melanosomes, and SLC45A2-deficient melanocytes harbor melanosomes that are more pigmented than OCA2-deficient cells—together suggesting that SLC45A2 functions at a later melanosome maturation stage than OCA2. Accordingly, overexpression of OCA2 in SLC45A2-deficient melanocytes compensated for SLC45A2 deficiency in pigment production, whereas SLC45A2 overexpression could not compensate for OCA2 deficiency. Although it is possible that these data reflect the distinct abilities of the OCA2 channel and the SLC45A2 transporter to modulate pH on the same melanosome subsets, the localization of these two proteins to partially distinct subsets leads us to conclude that SLC45A2 functions to neutralize lumenal pH at a later stage of melanosome maturation than OCA2. We also identified the mechanism underlying the pigmentation phenotype of the light skin-associated F374 variant of SLC45A2. Although SLC45A2-F374 localizes to melanosomes like the dark skin-associated L374 variant, SLC45A2-F374 is less stable and more rapidly degraded than -L374, resulting in reduced SLC45A2-F374 protein levels at steady state. Together, our data 1) indicate that SLC45A2 regulates melanogenesis by controlling melanosome pH in a manner that is nonredundant with OCA2 and 2) uncover the mechanism by which a common genetic variant imparts light skin color.
Our data indicate that SLC45A2 localizes to the melanosomal membrane, where we propose that it directly functions to increase lumenal pH. This is analogous to other proteins on the melanosome membrane, such as the chloride channel OCA2 and the cation channel TPC2, which also directly regulate melanosome pH through ion transport (Sitaram et al., 2009; Bellono et al., 2014, 2016; Ambrosio et al., 2016), and contrasts with ion transporters/channels that may indirectly regulate melanosome pH through effects on other organelles. For example, the putative solute transporter MFSD12 negatively regulates pigmentation from lysosomes (Crawford et al., 2017) and NCKX5 encoded by SLC24A5, the gene deficient in OCA6, appears to positively regulate pigmentation from the trans Golgi network (Ginger et al., 2008; Rogasevskaia et al., 2019). Together, these observations suggest that melanosome pH is regulated both directly and indirectly via a complex network of putative channels/transporters. Further work is necessary to identify other regulators of melanosome pH and to understand how these proteins cooperate to fine-tune the lumenal pH of melanosomes, thereby controlling melanin synthesis.
When expressed at the plasma membrane in yeast, SLC45A2 functions as a sucrose/proton symporter that transports sucrose from the extracellular space into the cytosol in a manner that requires a proton gradient and is maximal at a slightly acidic pH (Bartölke et al., 2014). Interestingly, SLC45A2 and other SLC45 family members can transport not only the disaccharide sucrose but also the monosaccharides glucose, fructose, and mannose (Bartölke et al., 2014). If it were to function similarly in melanocytes, SLC45A2 would expel protons and sugar molecules from the melanosome lumen into the cytosol, hence increasing melanosome pH. Whether sugars are substrates for SLC45A2 under physiological conditions in melanosomes remains to be determined, but given that lysosomal enzymes are present within maturing melanosomes (Diment et al., 1995; Raposo et al., 2001), it is possible that monosaccharides released from glycoproteins by lysosomal glycosidases in early stage melanosomes could serve as substrates for sugar/proton symporter activity. Our data show that expression of SLC45A2 in lysosomes of HeLa cells is sufficient to increase pH, indicating that its proton-dependent symporter activity is sufficient to raise lumenal pH by counteracting the activity of the vATPase, which pumps protons into the lumen of both melanosomes and lysosomes in an ATP-dependent manner (Bhatnagar and Ramalah, 1998; Tabata et al., 2008; Mindell, 2012). Sugar cotransport from the melanosome into the cytosol would also decrease the osmotic concentration inside the melanosome, requiring counter-ion transport to balance solute concentrations. Further investigation into the melanosomal channels, transporters, and exchangers is required to understand how the melanosome regulates not only its pH but also its osmolarity.
Unlike melanosomal proteins such as TYRP1 that are detected relatively uniformly on the melanosome membrane by IFM, SLC45A2 is sometimes detected in a punctate pattern, corresponding to specific subdomains of the melanosome membrane. The nature of these subdomains and the mechanism by which SLC45A2 assembles into them remain unclear. The punctate localization is conserved on lysosomes on ectopic expression of SLC45A2 in nonpigmented HeLa cells, suggesting that the assembly of SLC45A2 into subdomains does not require interactions with melanocyte-specific proteins. Some cells expressing HA-SLC45A2 displayed a mixture of punctate and ringlike SLC45A2 patterns on melanosomes. This might either reflect an artifact of overexpression or the consequence of a regulated process of aggregate assembly that may be influenced by melanosome contents or other features of melanosome maturation. The composition, regulation, and function of these SLC45A2-containing structures warrant further investigation.
The high colocalization between SLC45A2 and TYRP1 suggests that SLC45A2 is codelivered with TYRP1 to maturing melanosomes, likely via BLOC-1-dependent membrane transport (Setty et al., 2007, 2008). In contrast, despite similar requirements for BLOC-1 for delivery to melanosomes (Sitaram et al., 2012), there is significantly less overlap between OCA2 and TYRP1, and in structures in which they overlap their abundance is inversely related. Moreover, the relative melanin content of SLC45A2- and OCA2-deficient melanocytes is different, such that SLC45A2-deficient melanocytes harbor more mature melanosomes and slightly higher pigmentation than OCA2-deficient melanocytes. While these latter data alone could be interpreted to reflect distinct activities of OCA2 and SLC45A2 in facilitating increased melanosomal pH, together with the localization data they suggest that OCA2 functions at an earlier melanosomal maturation stage compared with SLC45A2. This would imply either that the melanosome delivery of OCA2 and TYRP1/SLC45A2 is staggered or that OCA2 is cleared soon after delivery. The latter is supported by the short half-life of OCA2 (Sitaram et al., 2009), the dependence of this half-life on melanization (Donatien and Orlow, 1995), and the accumulation of OCA2 on internal membranes in mature melanosomes (Sitaram et al., 2012). Based on these observations, we propose a model in which OCA2, SLC45A2, and TYRP1 are delivered together to maturing melanosomes—which harbor active vATPase to acidify their lumen (Bhatnagar and Ramalah, 1998; Tabata et al., 2008). OCA2 would facilitate a rapid efflux of chloride ions, immediately reducing membrane potential and thereby slowing vATPase activity. As the melanosomes mature, OCA2 clearance from the limiting membrane coupled with continued SLC45A2 arrival would support a slow but continued melanosome neutralization mediated by SLC45A2 proton export, counteracting residual vATPase activity. If this model were true, then OCA2 overexpression, by prolonging exposure on the melanosomal membrane, would antagonize vATPase activity in a more sustained way, perhaps resulting in slow proton efflux from the melanosome through another means such as membrane recycling (Dennis et al., 2016). This model would thus explain our observation that OCA2 overexpression can compensate for SLC45A2 loss but that SLC45A2 overexpression—with its limited capacity for proton export—cannot compensate for OCA2 loss.
The SLC45A2-F374 variant is the predominant allele in northern Europe and is strongly associated with light skin and hair and blue eyes (Soejima et al., 2006; Yuasa et al., 2006; Lao et al., 2007; Sabeti et al., 2007; Soejima and Koda, 2007; Branicki et al., 2008; Cook et al., 2009; Lucotte et al., 2010; Lucotte and Yuasa, 2013; Mukherjee et al., 2013; Lopez et al., 2014). However, the mechanism responsible for the reduced pigmentation associated with SLC45A2-F374 was previously unclear. We show here that compared with SLC45A2-L374, expression of SLC45A2-F374 in SLC45A2-deficient melanocytes results in a more meager increase in pigmentation, despite higher levels of SLC45A2 mRNA. Our results demonstrate that this is due to instability of the SLC45A2-F374 protein, leading to a higher rate of degradation relative to SLC45A2-L374 through a proteasome- and vATPase-dependent mechanism. Nevertheless, the remaining cohort of SLC45A2-F374 localizes appropriately to melanosomes. Thus, we propose that the reduced pigmentation associated with the F374 allele is due to insufficient levels of SLC45A2-F374 on the melanosomal membrane to maintain optimal neutral pH for maximal TYR activity, thus resulting in decreased melanin synthesis. Whether SLC45A2-F374 is rapidly degraded following melanosomal delivery or is missorted for endolysosomal degradation remains to be determined.
In conclusion, our data significantly advance our understanding of SLC45A2 and its function on melanosomes and begin to unravel the stepwise contributions of SLC45A2 and OCA2 to lumenal pH regulation and proper melanosome maturation. We also reveal the molecular basis explaining why the SLC45A2-F374 variant is a hypomorphic allele and propose a mechanism by which this allele contributes to lighter pigmentation in humans. The regulation of melanosome pH through the coordinated function of transporters, channels, and other proteins requires further investigation.
MATERIALS AND METHODS
Reagents
Unless otherwise specified, chemicals were obtained from Sigma-Aldrich (St. Louis, MO) and tissue culture reagents from Life Technologies/Thermo Fisher Scientific (Waltham, MA). Protease inhibitors were purchased from Roche Diagnostics (Rotkreuz, Switzerland), gene amplification primers from Integrated DNA Technologies (Coralville, IA), GoTaq DNA polymerase from Promega (Madison, WI), and restriction enzymes and T4 DNA ligase from New England Biolabs (Ipswich, MA).
Cell culture
Immortalized melanocyte cell lines melan-p1 (OCA2 deficient) from C3H-Oca2cp/25H (pink-eyed dilute) mice (Sviderskaya et al., 1997) and WT melan-Ink4a-Arf1 (formerly called melan-Ink4a-1; referred to here as melan-Ink4a or WT) from C57BL/6J-Ink4a-Arf−/− (Cdkn2 null) mice (Sviderskaya et al., 2002) have been described and were derived from the skins of neonatal mice. Three immortal SLC45A2-deficient melanocyte lines, melan-uw-1, -2, and -3, were similarly derived from the skins of neonatal C57BL/6J-Ink4a-Arf–/– Slc45a2uw/uw (uw) mice. Mice were housed and interbred by Lynn Lamoreux (Texas A&M University, College Station, TX), and skins were shipped on ice to London. Only the melan-uw-2 line (referred to here as melan-uw) was used here because they were more uniform in pigmentation both before and after stable expression of HA-SLC45A2. All cells were cultured at 37°C and 10% CO2 in RPMI 1640 medium supplemented with 10% fetal bovine serum (Atlanta Biologicals) and 200 nM 12-O-tetradecanoylphorbol-13-acetate (TPA). Melan-uw cells grow poorly in the absence of adenylate cyclase activators, which also stimulate the transcription of melanogenic genes. To properly compare them, melan-uw cells, melan-p1 cells, and all stable cell lines derived from these cells were additionally supplemented with 200 pM cholera toxin. Melan-Ink4a cell medium was not supplemented with cholera toxin, but we expect that this might contribute to underestimating the differences between Melan-Ink4a and the other cell lines due to the increased expression of melanogenic genes in the latter. Cell lines were authenticated by restoration of pigmentation on expression of the WT form of their defective genes and verified to be negative for mycoplasma every 2–3 mo using the MycoAlert Mycoplasma Detection Kit (Lonza).
Retrovirus production from transiently transfected Plat-E cells (Morita et al., 2000) and retroviral transduction of melanocyte cell lines were carried out as described previously (Setty et al., 2007; Meng et al., 2012). Briefly, Plat-E cells were transfected with retroviral DNA constructs using Lipofectamine 2000 (Thermo Fisher), and the medium was replaced the next day. Retrovirus-containing supernatants were collected 48 h later, filtered, and added to melan-Ink4a cells or melan-uw cells in a 1:1 ratio with fresh medium. The medium was replaced the next day, and pools of stable transductants were selected 24 h later by adding 300 μg/ml hygromycin B to the medium. Stable transfectants were occasionally treated with 200 µg/ml hygromycin B for 2–3 d to maintain selective pressure for the transgene. For transient transfections, cells on glass coverslips were transfected with DNA constructs using Lipofectamine 3000 or Lipofectamine 2000 (Thermo Fisher), and the medium was replaced the next day. Cells were fixed using 4% formaldehyde/ phosphate-buffered saline (PBS) 48 or 72 h after transfection and stored at 4°C for immunolabeling and analysis.
DNA constructs
We first generated a GFP-SLC45A2 (L374) fusion protein by inserting human SLC45A2 cDNA, generated by RT-PCR of RNA isolated from darkly pigmented human epidermal melanocytes, into the BamHI/Xhol sites of pcDNA4/TO (Invitrogen/Life Technologies) in frame with GFP and a Gly-Ala-Gly-Ala linker previously inserted in the AflII/HindIII sites (sequence available on request). To generate HA-tagged SLC45A2, the insert from pcDNA4/TO-GFP-SLC45A2 was amplified by PCR adding XhoI and NotI restriction sites at the 5′ and 3′ ends, respectively, and subcloned into the respective sites of pCI (Promega). An N-terminal Kozak consensus start site, HA tag, and Gly-Ser linker were subsequently added by PCR using a distinct forward primer (5′-gcatatctcgagatgTACCCATACGATGTTCCAGATTACGCTggctcaggatctgggatgggtagcaacagtgggc-3′) and the same reverse primer. The HA-SLC45A2 insert was subsequently subcloned as a XhoI-NotI fragment into pBMN-(XN)-IRES-hygro to generate the retroviral vector encoding HA-SLC45A2. The F374 variant was made by site-directed mutagenesis of the pBMN-(XN)-IRES-hygro-HA-SLC45A2 (L374) construct using the Clontech site-directed mutagenesis kit. All recombinant plasmids were verified by sequencing by the University of Pennsylvania Cell Center, the Nucleic Acid/Protein Research Core Facility at the Children’s Hospital of Pennsylvania, or Macrogen.
The plasmid-based expression vector pCR3-OCA2-WT-HA-UTR2 and corresponding retroviral vector pBMN-OCA2-WT-HA-UTR2 encoding human OCA2 with an exofacial HA epitope were described in Sitaram et al. (2009), pCDM8.1-HA-SLC35D3 encoding human SLC35D3 with an N-terminal HA epitope tag was described in Meng et al. (2012), and human LAMP1-mCherry in pCDNA3.1 was a generous gift from Sergio Grinstein (University of Toronto and Hospital for Sick Children, Toronto, ON, Canada).
Melanin content quantification
Melanin quantification by spectroscopy was done essentially as described (Delevoye et al., 2009). Briefly, melanocytes seeded on 6-cm dishes were trypsinized, pelleted, and sonicated in melanin buffer (50 mM Tris, 2 mM EDTA, and 150 mM NaCl, pH 7.4) supplemented with protease inhibitor cocktail (Roche). Insoluble material was pelleted for 15 min at 16,000 × g (4°C), rinsed in ethanol/diethyl ether (1:1), and dissolved in 2 M NaOH/20% dimethyl sulfoxide at 60°C. The optical density at 492 nm was measured to estimate melanin content and normalized to protein concentration as determined by BCA protein determination kit (Thermo Fisher). Plat-E cells, an unpigmented cell line, were used as a negative CTRL. Statistical significance from at least three independent experiments was determined by Welch’s ANOVA with Dunnett T3 test for multiple comparisons.
Antibodies
Primary antibodies used and their sources (listed in parentheses) include: mouse monoclonal antibody TA99/Mel5 to TYRP1 (American Type Culture Collection; Rockville, MD); rat monoclonal antibody 3F10 to the HA11 epitope (Sigma); mouse monoclonal antibody 16B12 to the HA11 epitope (BioLegend); mouse monoclonal antibody H4A3 to human LAMP1 (Developmental Studies Hybridoma Bank, Iowa City, IA); rabbit anti-LAMP2 (Abcam; for mouse melanocytes); rabbit anti-TYR (Pep7h, to the C-terminal 17 amino acids of human TYR [ Calvo et al., 1999]); mouse monoclonal antibody to γ-Tubulin (Sigma); and rabbit antibody to vinculin (E1E9V; Cell Signaling). Species- and/or mouse isotype–specific secondary antibodies from donkey or goat and conjugated to Alexa Fluor 488 or Alexa Fluor 594 used in IFM or conjugated to Alexa Fluor 680 or Alexa Fluor 790 for immunoblots were obtained from Jackson ImmunoResearch Laboratories (West Grove, PA).
BF, IFM, and colocalization analyses
IFM analyses of fixed cells were done essentially as described (Dennis et al., 2016). Briefly, cells were plated on Matrigel (BD)-coated coverslips, fixed with 4% formaldehyde (VWR Scientific, Radnor, PA) in PBS, labeled with primary and secondary antibodies diluted in PBS/0.02% saponin/0.01% bovine serum albumin, mounted onto slides using Prolong Gold (Thermo Fisher), and analyzed on a Leica DMI-6000 microscope equipped with a 40× or 63× objective lens (Leica; 1.4 NA), a Hamamatsu Photonics ORCA-Flash4.0 sCMOS C11440-22CU digital camera, and Leica Application Suite X (LAS X) software. Images in sequential z-planes (0.2 μm step size) were deconvolved with Microvolution software and further analyzed using ImageJ (http://fiji.sc/Fiji; National Institutes of Health [NIH]).
Because SLC45A2 localized partially to subdomains on the melanosome membrane and thus did not fully overlap other melanosomal markers, previously used automated methods to quantify colocalization did not yield meaningful values; similarly, OCA2 localized largely to the interior of melanosomes (Sitaram et al., 2009, 2012) and was thus partially distinct from the distribution of TYRP1 or TYR cytoplasmic domain on the melanosome membrane. Therefore, quantification of the degree of overlap between two channels on individual organelles was performed manually on deconvolved, Z-projected images of cells in ImageJ. In brief, single-channel images and a merged image were synchronized using “Analyze > Tools > Synchronize Windows;” signals that were localized to the same organelle were counted using the “Multi-Point” tool; remaining signals in single channels were counted using the Multi-Point tool; and the total colocalized structures was calculated as a percentage of total structures for each channel. Statistical significance was determined using one-way ANOVA with Tukey’s multiple comparisons test, Welch’s ANOVA with Dunnett T3 post-hoc test, or Kruskal–Wallis test with Dunn’s multiple comparisons test where appropriate.
Scoring of pigmentation in transfected melan-uw and melan-p1 cells was done blinded. Fixed, stained coverslips were randomly assigned numbers and samples were revealed only after images were taken and scored. Statistical significance was determined using one-way ANOVA with Holm-Sidak’s test for multiple comparisons.
Fluorescence intensity analyses
Object-based fluorescence intensity was measured using ImageJ as described in https://www.unige.ch/medecine/bioimaging/files/1914/1208/6000/Quantification.pdf. Briefly, 8-bit, single-channel images were opened in ImageJ and brightness and contrast adjusted for each image. The image was duplicated and a threshold applied using “Image > Adjust > Auto Local Threshold.” To multiply binary images of the two channels of interest, we used “Process > Image Calculator > Multiply.” To redirect intensity measurements from binary image to fluorescent image, we used “Analyze > Set measurements” and pulled down the “Redirect to:” menu to choose the appropriate fluorescent image, making sure “Area” and “Integrated density” were also checked. With “binary image” clicked, we used “Analyze > Analyze Particles” to measure object intensity. This was repeated for each channel, and for each sample values were normalized to the highest integrated density value in each channel. At least 10 cells from each of two independent experiments were analyzed.
Lysosomal pH measurements
HeLa cells were transfected one day prior to imaging experiments with LAMP1-mCherry alone, mCherry-OCA2 alone, or HA-SLC45A2 and LAMP1-mCherry to identify endolysosomes, and incubated with 1 μM LysoSensor-ND160 (Thermo Fisher) for 5 min. LysoSensor was excited at 405 nm and its emission detected at 417–483 nm (W1) and 490–540 nm (W2). The ratio of LysoSensor W1/W2 emission in endolysosomes expressing LAMP1-mCherry was assigned a pH value based on a calibration curve generated prior to each experiment using solutions containing 125 mM KCl, 25 mM NaCl, 24 μM Monensin, and varying concentrations of MES to adjust the pH to 3.5, 4.5, 5, 5.5, 6.5, 7, or 7.5. The fluorescence ratio was linear from pH 5–7.0. Statistical significance was determined by Welch’s ANOVA with Games-Howell post-hoc test for multiple comparisons.
Electron microscopy
Melanocytes were cultured in 10-cm dishes and fixed in situ with Karnovsky’s fixative (4% paraformaldehyde [VWR Scientific, Radnor, PA], 4 mM calcium chloride, 72 mM sodium cacodylate, pH 7.4) containing 0.5% glutaraldehyde (Polysciences, Warrington, PA) for 1–2 h at room temperature. This solution was then removed and replaced with Karnovsky’s fixative containing 2% glutaraldehyde, and the cells were fixed overnight at room temperature. Cells were collected by scraping using a cell scraper and centrifugation at 27 × g for 5 min, resuspended in Karnovsky’s fixative containing 0.5% glutaraldehyde, and stored at 4°C until processing. After subsequent buffer washes, the samples were postfixed in 2.0% osmium tetroxide with 1.5% K3Fe(CN)6 for 1 h at room temperature and then rinsed in deionized water prior to en bloc staining with 2% uranyl acetate. After dehydration through a graded ethanol series, the tissue was infiltrated and embedded in EMbed-812 (Electron Microscopy Sciences, Fort Washington, PA) at the Electron Microscopy Resource Laboratory (University of Pennsylvania). Thin sections were stained with uranyl acetate and SATO lead and examined with a JEOL 1010 electron microscope fitted with a Hamamatsu digital camera (Hamamatsu, Bridgewater, NJ) and AMT Advantage NanoSprint500 software (Advanced Microscopy Techniques, Woburn, MA).
For melanosome staging, a combined total of at least 20 cells from at least two independent experiments and over 600 melanosomes was analyzed for each cell type, and the analysis was done blinded. The number of stage I/II, stage III, and stage IV melanosomes was quantified, and the percentage of melanosomes at each stage was calculated for each cell. These data were analyzed and plotted using Prism 6 (GraphPad, La Jolla, CA) and statistical significance was determined by Welch’s ANOVA with multiple comparisons (samples compared with melan-Ink4a) and Dunnett T3 test for multiple comparisons.
Immunoblotting
Melan-uw cells stably expressing HA-SLC45A2-L374, HA-SLC45A2-F374, or HA-SLC35D3 cultured in 60-mm Petri dishes were treated with 25 μg/ml CHX ± 25 µM MG-132 or ± 25 nM BafA1 and collected for immunoblot every 8 h for 32 h. For each time point the cells were rinsed in cold PBS before pelleting by centrifugation. After collection of all time points, cell pellets were resuspended in 1× Laemmli buffer (Laemmli, 1970), lysed by sonication, and heated at 37°C for 5 min. Protein concentration for each sample was measured using the BCA assay (Pierce) according to the manufacturer’s protocol; 20 μg protein from each sample was fractionated by SDS–PAGE on 10% polyacrylamide gels and transferred to PVDF membranes (Immobilon-FL, Millipore). Membranes were blocked with 5% milk in Tris-buffered saline (TBS), incubated overnight with antibodies to HA or vinculin diluted in TBS/0.5% Tween, washed with TBS/0.5% Tween, and analyzed using Alexa Fluor 680– or 790–conjugated secondary antibodies and Odyssey imaging system (LI-COR, Lincoln, NE). For immunoblotting without drug treatments, the method was the same except that CHX, MG-132, and BafA1 were not added and antibodies to tubulin were used for the loading CTRL. Statistical significance was determined using one-way ANOVA with Dunnett’s test for multiple comparisons. Protein half-lives were calculated using one phase decay.
Quantitative RT-PCR
Total RNA was extracted from melan-uw cells stably expressing HA-SLC45A2, HA-SLC45A2-F374, or HA-SLC35D3 as a CTRL using the RNeasy Plus Kit (Qiagen), and 3 µg was reverse transcribed (RT) using the SuperScript III kit (Life Technologies). The resulting cDNA was used for qPCR. Primers were designed using Primer3 (http://bioinfo.ut.ee/primer3-0.4.0/) to span an exon–exon junction to avoid amplification of any contaminating genomic DNA and were as follows: SLC45A2 (NM_016180.3) - F: CCCTGTACACTGTGCCCTTT and R: CTTCCCTCTCACGCTGTTGT. Reactions were prepared according to the manufacturer’s protocol using SYBR Select Master Mix (Invitrogen/Thermo Fisher Scientific) and cycled on a Real-Time PCR System (Bio-Rad). β-actin was used as an internal CTRL and all reactions were run in triplicate. mRNA levels were quantified by calculating average 2-∆∆Ct values, where Ct is the cycle number for the CTRL and target transcript at the chosen threshold. The ∆Ct = Cttarget–Ctβ-actin was calculated by subtracting the average Ct of β-actin from the average Ct of the target transcript. The ∆Ctmean was calculated for the reference sample (L374) and ∆∆Ct = ∆Ct–∆Ctmean was calculated by subtracting the ∆Ctmean from the ∆Ct. The relative mRNA expression of samples compared with L374 samples was calculated by 2-∆∆Ct. Statistical significance was determined using Welch’s ANOVA with Dunnett T3 test for multiple comparisons.
Statistical analyses
Except where noted, we performed each experiment three times and sample sizes are as indicated in each figure legend. Statistical data are presented as mean ± SEM. Statistics were calculated in GraphPad Prism using ordinary unpaired Student’s t test, ordinary one-way ANOVA, Welsh’s ANOVA, or Kruskal–Wallis test with post-hoc correction as specified. Welsh’s ANOVA or Kruskal–Wallis test was used instead of ordinary one-way ANOVA when the data displayed heteroscedasticity or did not display a normal distribution, respectively, which was determined using Graphpad Prism. Significant differences between CTRL or experimental samples are indicated (****p < 0.0001; ***p < 0.001; **p < 0.01; *p < 0.05). Only p < 0.05 was considered as statistically significant.
Supplementary Material
Acknowledgments
The authors are grateful to Lynn Lamereux for generating Slc45a2 uw/uw Ink4a-Arf –/– mice, Donald Koroma for consultation on experimental details, and Sergio Grinstein for the gift of the LAMP1-mCherry expression construct. We acknowledge funding from NIH grants R01 AR048155 (M.S.M.), R01 AR071382 (E.O. and M.S.M.), and F32 AR062476 (M.K.D.) from the National Institute of Arthritis, Skin and Musculoskeletal Diseases, and T32 GM007229 Training Program in Cell and Molecular Biology from the National Institute of General Medical Sciences (L.L. and A.J.L.), and from Wellcome Trust grant 108429/Z/15/Z (E.V.S. and D.C.B.).
Abbreviations used:
- AIM1
antigen isolated from immuno-selected melanoma-1
- BafA1
bafilomycin A1
- BF
bright field microscopy
- CHX
cycloheximide
- CTRL
control
- dIFM
immunofluorescence microscopy with image deconvolution
- IFM
immunofluorescence microscopy
- MATP
membrane-associated transporter protein
- OCA
oculocutaneous albinism
- PBS
phosphate-buffered saline
- TBS
Tris-buffered saline
- TYR
tyrosinase
- TYRP1
tyrosinase-related protein-1
- uw
underwhite
- vATPase
vacuolar adenosine triphosphatase
- 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.E20-03-0200) on September 23, 2020.
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