bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
1 Dynlt3, a novel fundamental regulator of melanosome movement,
2 distribution, maturation and transfer
3
4
5
6 Zackie Aktary1-3, Alejandro Conde-Perez1-3, Florian Rambow1-3, Mathilde Di 7 Marco6,7, François Amblard3-5, Ilse Hurbain6,7, Graça Raposo6,7, Cédric 8 Delevoye6,7, Sylvie Coscoy3,4, & Lionel Larue1-3* 9
10
11
12 1 INSERM U1021, Normal and Pathological Development of Melanocytes. Institut 13 Curie, PSL Research University, Orsay, France 14 2 CNRS UMR3347, Paris-Sud University, University Paris-Saclay, Orsay, France 15 3 Equipes Labellisées – Ligue Contre le Cancer, Orsay, France 16 4 Laboratoire Physico-Chimie Curie, Institut Curie, PSL Research University - 17 Sorbonne Universités, UPMC - CNRS. Paris, France. 18 5 Center for Soft and Living Matter, Institute for Basic Science (IBS), Departments of 19 Bioengineering and Physics, Ulsan National Institute of Science and Technology, 20 Ulsan, South Korea. 21 6 CNRS UMR144, Structure and Membrane Compartments. Institut Curie, Paris 22 Sciences & Lettres Research University, Centre National de la Recherche 23 Scientifique, Paris, France 24 7 CNRS UMR144, Cell and Tissue Imaging Facility. Institut Curie, Paris Sciences & 25 Lettres Research University, Centre National de la Recherche Scientifique, Paris, 26 France 27
28
29 *Address correspondence to Lionel LARUE 30 e-mail: [email protected] - Tel: (33) 1 69 86 71 07 - Fax: (33) 1 69 86 71 09 31 Institut Curie – Bat 110 - 91405, Orsay Cedex, France 32
33
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34
35
36 ABSTRACT
37
38 Skin pigmentation is dependent on cellular processes including melanosome
39 biogenesis, transport, maturation and transfer to keratinocytes. However, how the
40 cells finely control these processes in space and time to ensure proper pigmentation
41 remains unclear. Here, we show that a component of the cytoplasmic dynein
42 complex, Dynlt3, is required for efficient melanosome transport, maturation and
43 transfer. In melanocytes with decreased levels of Dynlt3, pigmented melanosomes
44 undergo a more directional (convective) motion leading to their peripheral location in
45 the cell, and are not fully matured. Stage IV melanosomes are more acidic, but still
46 heavily pigmented, resulting in a less efficient melanosome transfer. Finally, the level
47 of Dynlt3 is dependent on β-catenin activity, revealing a novel function of the Wnt/β-
48 catenin signalling pathway during melanocyte and skin pigmentation, by coupling the
49 transport, position and maturation of melanosomes required for their transfer.
50
51
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52 INTRODUCTION
53 Melanocytes are neural crest derived cells that are primarily found in the
54 epidermis and hair follicles, but are also found in the inner ear, eye, heart and
55 meninges 1. These cells contain specialized organelles, known as melanosomes,
56 which are responsible for pigmentation. Melanosomes belong to the lysosome
57 related organelle (LRO) family and exist in four different stages 2. Only stage III and
58 IV melanosomes are pigmented. Stage I melanosomes, the most primitive
59 melanosomes, are membrane bound early endosomal structures that initiate the
60 intraluminal Pmel fibrillation. The Pmel fibrils are fully formed in stage II
61 melanosomes, following which melanin synthesis begins. In stage III, different
62 melanogenesis enzymes (e.g. Tyrp1, Dct) are transported and inserted into the
63 melanosome limiting membrane to produce melanin, which deposits on the pre-
64 existing Pmel fibrils. Melanin accumulates in stage IV melanosomes that will become
65 heavily pigmented. Melanosomes/melanin are then transferred to keratinocytes
66 through an exocytosis/phagocytosis process to fulfill their primary role in protecting
67 the skin from UV irradiation 3. Prior to melanosome exocytosis and melanin transfer,
68 melanosomes must acquire a secretory signature through maturation steps that are
69 still poorly understood. Maturation is a complex process that includes the
70 melanosome lumen deacidification or neutralization, the acquisition of specific
71 endosomal components by the melanosomes, and the concomitant removal of
72 melanosome-associated membrane proteins (Vamp7 and most likely Tyrp1) through
73 the generation and release of melanosomal membrane tubules 4-6.
74 The intracellular trafficking of melanosomes, similar to other LROs, involves
75 the action of different families of motor proteins. Along the microtubules,
76 melanosomes are transported by both kinesin and dynein motors 7. Most kinesins
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77 move their respective cargoes from the nucleus towards the periphery, whereas
78 dynein motors move their cargoes in the opposite direction 8. At the cell periphery,
79 melanosomes are transferred to the actin microfilaments, where the complex
80 consisting of Myosin Va, Rab27a and Melanophilin move the melanosomes
81 centrifugally to be transferred. While mutations in these three genes lead to
82 pigmentation defects in humans and in mice, to date, no mutation in dynein and
83 kinesin genes has been described in pigmentation.
84 In humans and mice, abnormal skin pigmentation results from a reduction/lack
85 of melanocytes, a defect in melanin synthesis, and/or disrupted melanosome
86 transport/maturation/transfer 9. We have previously shown that alterations of β-
87 catenin activity (gain [bcat*] and loss of [∆ex2-6]) result in the reduction of
88 melanocyte proliferation and a coat color phenotype in mice 10,11.
89 In the current study, using melanocyte cell lines established from the skin of
90 wild-type and bcat* C57BL/6J mice in culture, we observed a marked diminution of
91 the number of pigmented melanosomes in the perinuclear area of bcat*
92 melanocytes. We identified Dynlt3, a member of the cytoplasmic dynein complex as
93 a downregulated component in bcat* melanocytes compared to wild-type, and as a
94 regulator of melanosome movement, distribution, maturation and transfer. Our data
95 demonstrate, for the first time, the fundamental role of Dynlt3 in coat and skin
96 coloration.
97
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98 RESULTS
99
100 Melanocytes expressing stable β-catenin display peripheral melanosome
101 distribution
102 We established melanocyte cell lines in culture from the skin of wild-type (9v)
103 and bcat* (10d) C57BL/6J pups. As expected, WT pigmented melanosomes (mainly
104 stages III and IV) were distributed uniformly throughout the cell (Fig. 1a,b, left).
105 However, melanosome localization was markedly different in bcat* melanocytes,
106 which displayed a notable absence of pigmented melanosomes in the perinuclear
107 area (Fig. 1a,b, right), while the total number of melanosomes in WT and bcat* cells
108 was similar (Fig. 1c). The quantification of the number of perinuclear melanosomes
109 in a 15 μm area around the nucleus revealed that ≈ 20% of the pigmented
110 melanosomes were perinuclear in WT cells, compared to only 5% in bcat* cells (Fig.
111 1d). Immunofluorescence microscopy using anti-Tyrp1 antibodies- mainly labeling
112 stages III and IV melanosomes 12- further confirmed the reduction of pigmented
113 melanosomes in the perinuclear area of bcat* cells as compared to WT melanocytes
114 (Fig. 1e).
115 To confirm that the observed reduction of perinuclear melanosomes in this
116 mutant cell line was not limited to the specific bcat* construct, we expressed another
117 active β-catenin mutant, the βcat-∆ex3-GFP mutant, in WT melanocytes 13. This
118 mutant construct encodes for a β-catenin protein that lacks the serine and threonine
119 residues that allow for its proteasomal degradation. Similar to the bcat* cells,
120 expression of βcat-∆ex3-GFP in WT melanocytes (WT-βcatGFP, fluorescent cells)
121 resulted in a reduced number of perinuclear melanosomes compared to a GFP
122 control (WT-GFP, fluorescent cells) (Supplementary Fig. 1).
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123 Pigmented melanosomes consist of stage III and IV melanosomes.
124 Ultrastructurally, stage III melanosomes contain dark and thick intraluminal melanin-
125 positive fibrils, while stage IV melanosomes are fully filled with pigment. Melanosome
126 maturation was evaluated in WT and bcat* cells by transmission electron microscopy
127 (TEM) assay. Intriguingly, pigmented bcat* melanosomes were significantly larger
128 than in WT melanosomes (≈370 nm vs. ≈300 nm) (Supplementary Fig. 2).
129
130 β-catenin affects Dynlt3 expression
131 The notable peripheral melanosome distribution in bcat* cells very likely
132 reflected a disruption in their proper intracellular trafficking, due to the exogenous
133 expression of β-catenin. To examine this possibility, we looked at the transcriptome
134 of WT and bcat* melanocytes and specifically focused on the expression of 67 genes
135 known to be involved in Lysosomal Related Organelle (LRO) biogenesis, transport
136 and maturation (Fig. 2a and Table 1). From these analyses, we identified Dynlt3, a
137 member of the cytoplasmic dynein complex, as a gene whose expression was
138 decreased two-fold in bcat* cells compared to WT cells.
139 Transcriptomic data were confirmed by RT-qPCR and western blot analyses
140 and showed that both Dynlt3 mRNA and protein levels were decreased in bcat* cells,
141 relative to WT cells (Fig. 2b,c). These results were corroborated using independent
142 melanocyte cell lines established from independent WT and bcat* pups
143 (Supplementary Fig. 3a). The regulation of Dynlt3 levels by β-catenin was then
144 validated using different approaches. We first overexpressed βcat-∆ex3-GFP in WT
145 cells, following which Dynlt3 mRNA and protein levels were both significantly
146 decreased (Fig. 2d-g). Subsequently, we knocked down β-catenin in WT cells and
147 observed an increase in both Dynlt3 mRNA and protein (Fig. 2h-k). Finally, the
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148 knockdown of β-catenin in bcat* melanocytes resulted in a similar increase in Dynlt3
149 mRNA and protein levels (Fig. 2l-o), thereby clearly demonstrating that β-catenin
150 expression appears to have an inhibitory effect on the levels of Dynlt3.
151
152 Knockdown of Dynlt3 in WT melanocytes phenocopies melanosome
153 distribution in bcat* melanocytes
154 Given that Dynlt3 is a member of the Tctex-type 3 family of Dynein motor light
155 chain implicated in retrograde transport 14,15 and that its expression was decreased in
156 bcat* cells, we wondered whether Dynlt3 was a player involved in melanosome
157 distribution. To this end, we reduced the levels of Dynlt3 in WT melanocytes. Similar
158 to bcat* cells, knockdown of Dynlt3 phenocopied the exclusion of pigmented
159 melanosomes from the perinuclear area (Fig. 3a-c). The number of perinuclear
160 melanosomes was decreased two-fold in WT-siDynlt3 cells as compared to control
161 (Fig. 3d), while the total number of melanosomes was unchanged (Fig. 3e). As
162 previously, WT-siDynlt3 cells stained with an anti-Tyrp1 antibody revealed a notable
163 absence of staining in the perinuclear area, which was not the case in WT-siCtrl
164 melanocytes (Fig. 3f). To confirm these results, we overexpressed Dynlt3 in bcat*
165 melanocytes, which resulted in the redistribution of the melanosomes in the
166 perinuclear area (Fig. 4).
167
168 Decreased Dynlt3 amounts increased melanosome motility.
169 We next examined potential alterations in melanosome motility using time-
170 lapse video microscopy to track pigmented melanosome movement. Direct
171 observation of melanosome movements revealed that generally motion is composed
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172 of variable and intermittent movement, with high level of pauses followed by short
173 bursts of movements, as previously reported 16,17.
174 The movement of melanosomes in bcat* cells was enhanced when compared
175 with WT melanosomes. On average, the total distance that bcat* melanosomes
176 traveled was longer than WT melanosomes (24.0 μm vs. 11.8 μm, Fig. 5a,b).
177 Similarly, βcat-Δex3-GFP WT cells showed increased total distance travelled by
178 melanosomes relative to WT cells expressing GFP alone (21.4 μm vs. 11.1 μm, Fig.
179 5a,b). Additionally, following transfection with GFP or βcat-Δex3-GFP, we monitored
180 the trajectories of melanosomes in GFP negative cells (i.e. that were unsuccessfully
181 transfected). The total distance that the melanosomes travelled on average in these
182 two non-GFP cells (GFP or βcat-Δex3-GFP) was similar to WT cells (11.8 μm vs.
183 11.0 μm vs. 11.3 μm, respectively, Fig. 5a,b). Taken together, β-catenin exogenous
184 expression increased movement of melanosomes.
185 Similarly, downregulation of Dynlt3 in WT melanocytes stably expressing
186 shRNA targeting this gene resulted in a significant decrease of Dynlt3 and an
187 increase in the total distance melanosomes travelled compared to shCtrl cells
188 (17.9 μm vs. 11.9 μm, Fig. 5a,b), accompanied by an increased average distance
189 and average velocity of melanosomes (Supplementary Fig. 4). Consistently,
190 Euclidean distance travelled by the melanosomes was increased after
191 overexpression of β-catenin or downregulation of Dynlt3 (Fig. 5b,c).
192 Finally, the percentage of pausing melanosomes was determined by
193 considering the number of frames where no movement was recorded. Tracked
194 melanosomes in bcat*, WT-βcat-Δex3 or WT-shDynlt3 cells paused less frequently
195 than controls (Fig. 5b,d), showing together that Dynlt3, through bcat expression,
196 contributes to at least the intracellular dynamic of pigmented melanosomes.
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197
198 Mathematical and statistical analyses reveal a convective melanosome
199 movement after reduction of Dynlt3 levels
200 Displacement of an object can be generated by a superposition of various
201 elementary processes: Brownian movement (diffusion) as a basis process, with the
202 potential addition of velocity-driven movement (convection or directed movement),
203 elastic tethering (flexible attachment to a fixed point) and/or confinement. “Not
204 convective” conditions refer here to populations of trajectories that could be
205 generated without addition of a velocity-driven movement (Fig. 6a,b). In order to
206 identify the elementary physical processes involved in melanosome movement, we
207 compared experimental melanosome trajectories (x, y, t) with simulated trajectories
208 integrating these different types of movements 18. This comparison is based on eight
209 spatio-temporal descriptors (see supplementary information). Here, we focus on a
210 descriptor referring to the classical analysis of the Mean-square displacement (MSD
211 or
212 In the case of purely 2D diffusive motion, MSD(t) = 4Dt (D, diffusion
213 coefficient), while for purely directed movement MSD(t) = V2t2 (V, velocity). Here, the
214 MSD was fit with , and α, the MSD exponent, was taken as our main
215 descriptor (Fig. 6c, α cumulative distribution function, cdf). α gives access to the
216 convective (α shifts towards 2) or not convective (α centered about 1) characteristics
217 of the movement.
218 Compared to a Brownian reference process (black), half of WT-shCtrl
219 trajectories (blue) were shifted to the left and correspond to non-convective
220 trajectories, while the other half were shifted to the right, indicative of convective
221 movement (Fig. 6d). The vast majority of WT-shDynlt3 trajectories (red) were
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222 convective (Fig. 6d), with a statistically significant difference between shCtrl and
223 shDynlt3 α distributions (p<0.005, Wilcoxon test). Similarly, there was a statistically
224 significant difference between the α distributions of WT and bcat* cells and between
225 WT-GFP and WT- βcat-Δex3-GFP cells (Supplementary Fig. 5), with the
226 melanosomes in cells overexpressing β-catenin displaying more convective
227 movement. Accordingly, the populations were subdivided in two subpopulations,
228 small [S] and large [L] amplitudes, as assessed by the second moments of
229 trajectories (Fig. 6d). The frontier was chosen such that S mainly corresponded to a
230 homogeneous not convective (NC) population, and L to a convective (C) population
231 (see supplementary information), with trajectories between the two lines defining an
232 error bar. The number of non-convective trajectories (out of 75 trajectories) was
233 estimated to be 56-62 for WT, compared to 14-18 for bcat*; 60-64 for WT-GFP
234 compared to WT- βcat-Δex3-GFP (Supplementary Fig. 5); and 36-43 for WT-shCtrl
235 compared to 14-22 for WT-shDynlt3 (Fig. 6e). This illustrates that the downregulation
236 of Dynlt3 or the expression of active β-catenin both lead to a significant increase of
237 convective trajectories.
238
239 Overexpression of β-catenin or reduction of Dynlt3 diminishes melanosome
240 maturation and transfer
241 Melanosome maturation was evaluated in cells expressing different amount of
242 Dynlt3 by assessing melanosome acidity. Non-fully mature melanosomes are more
243 acidic than mature melanosomes. In this context, the number of acidic and
244 pigmented melanosomes was approximately two-fold higher in bcat* cells relative to
245 WT cells (12.4 vs. 6.4 acidic melanosomes/field), as well as in WT-siDynlt3 vs. WT-
246 siCtrl (13.0 vs. 7.3) (Fig. 7a).
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247 Melanocytes with increased β-catenin or decreased Dynlt3 levels harboured
248 more pigmented and peripheral melanosomes, which would represent an ideal
249 subpopulation of pigment granules to be transferred to keratinocytes. However, their
250 change in pH might reflect a failure to acquire transfer capacity 5. We thus examined
251 whether these cells would have a deficiency in melanosome transfer and
252 consequently on coat color. Indeed, the hairs of bcat* C57BL/6J mice were lighter
253 than WT C57BL/6J mice (Fig. 7b). Melanosome transfer was evaluated by co-
254 culturing WT, bcat* WT-shCtrl, and WT-shDynlt3 melanocytes in the presence of
255 Balb/c MK keratinocytes for 10 days prior to immunofluorescence analysis using
256 plakoglobin (keratinocyte marker) and Hmb45 (a melanosome marker labeling the
257 intraluminal melanin-positive fibrils) (Fig. 7c,e). We then counted the number of
258 keratinocytes in which we could detect at least one Hmb45-positive structure; this
259 number was significantly lower when Dynlt3 was lower than normal (Fig. 7d,f). In
260 addition, we further confirmed that melanosome transfer was decreased in
261 melanocytes with decreased Dynlt3 by FACS (Supplementary Fig. 6).
262 Taken together, these data suggest that in melanocytes with stable, activated
263 β-catenin or in those with diminished expression of Dynlt3, both melanosome
264 maturation and transfer are negatively affected.
265
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266 DISCUSSION
267 In this study, we showed that in melanocytes derived from transgenic mice
268 expressing active β-catenin (bcat* cells), pigmented melanosomes were primarily
269 absent from the perinuclear area and localized at the cell periphery. Notably, the
270 expression of Dynlt3, a member of the cytoplasmic dynein complex, was
271 downregulated in bcat* cells and knockdown of Dynlt3 in WT melanocytes
272 phenocopied the peripheral localization of pigmented melanosomes and their
273 absence from the perinuclear area. Melanosome movement was increased and
274 melanosomes moved in a more convective (directed) manner in cells with diminished
275 levels of Dynlt3. Decreased levels of Dynlt3 resulted in more acidic melanosomes
276 that was associated with a reduction of melanosome transfer to keratinocytes.
277 Altogether, these results show that Dynlt3 is a key player in regulating melanosome
278 movement, maturation and transfer.
279 Dynlt3 is a component of the cytoplasmic dynein complex, a macromolecular
280 protein complex that is essential for the transport of cargos from the cell periphery
281 towards the nucleus 14,15. While the heavy chain (Dync1h1) of this complex has an
282 ATPase activity and interacts with the microtubules, the light intermediate (Dync1li1
283 and Dync1li2) and the light chains, including Dynlt3, along with dynactin, a dynein-
284 interacting cofactor and activator, are thought to play a role in cargo recognition.
285 Despite previous studies having shown that various virus capsid proteins (e.g.
286 papilloma and herpes) interact with Dynlt3 and hijack the Cytoplasmic Dynein
287 complex to reach the nucleus of infected cells 19,20, this work is the first to
288 demonstrate functionally that Dynlt3 is involved in the intracellular trafficking of an
289 organelle.
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290 To date, transgenic mice with melanocyte-specific mutations in cytoplasmic
291 dyneins have neither been identified nor produced, and therefore the role of Dynlt3 in
292 mouse pigmentation remains unknown. However, transgenic mice containing
293 heterozygous mutations in Dync1h1, which encodes the dynein heavy chain
294 Dync1h1, have been produced. In general, these mice show defects in motor
295 functions, with motor neuron degeneration and/or sensory neuropathy observed 21-24.
296 Yet, no obvious coat color phenotypes were reported in these heterozygous mice.
297 Importantly, homozygous Dync1h1 mice are not viable and die during embryonic
298 development or shortly after birth. Therefore, whether a coat color phenotype would
299 be observable in homozygous mice but would not apparent in heterozygous mice
300 remains unknown. Conditional mouse mutants would be required to answer this
301 point, using for instance the Tyr::Cre mice 25. While mutations in DYNLT3 are not
302 significantly detailed in human disease, reduction of DYNLT3 protein has been
303 observed in late stage Parkinson’s disease that did not develop melanoma 26.
304 Microarray analyses of LRO trafficking genes demonstrated that among the
305 components associated with cytoplasmic dynein, only Dynlt3 levels were altered in
306 response to β-catenin expression, suggesting that only Dynlt3 is a target of β-
307 catenin. Importantly, our results identify Dynlt3 as a novel β-catenin target, and one
308 that whose expression is negatively regulated by β-catenin. However, we cannot
309 exclude that knockdown of other dynein complex members may have a similar effect
310 on melanosome localization. Importantly, in WT and bcat* cells, Dynlt1, the other
311 member of the Tctex light chain family, was not expressed (Supplementary Fig. 2b),
312 in agreement with previous studies showing that Dynlt1 and Dynlt3 are not
313 expressed in the same tissue 27,28. Whether other cytoplasmic dynein subunits affect
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314 melanosome localization, and which ones in particular do so, are currently under
315 investigation.
316 Video microscopy and manual tracking showed that melanosome movement
317 is not directional (non-convective). Instead, the direction that melanosomes moved
318 changed consistently, with melanosomes often going forwards and backwards
319 repeatedly. Downregulation of Dynlt3 resulted in a more directed movement with
320 changes in direction occurring less frequently. On microtubules, this back and forth
321 movement of melanosomes can be thought of as competitions between the kinesin
322 and dynein motors. While this random movement would be energetically costly and
323 seemingly inefficient, this back and forth movement may occur to allow
324 melanosomes to mature properly without passing onto the actin microfilaments and
325 being transferred before they are fully mature.
326 To our knowledge, this work is the first indication that defects in a cytoplasmic
327 dynein has an impact on melanosome transfer. That decreased Dynlt3 levels
328 diminished melanosome transfer is somewhat perplexing since pigmented
329 melanosomes localized primarily at the cell periphery, and were ideally positioned to
330 be further transferred. However, in cells that expressed less Dynlt3, melanosomes
331 were more acidic, as more pigmented melanosomes accumulated acridine orange.
332 Since melanosomes de-acidify their lumen before being transferred to keratinocytes,
333 and since increased acidity is an indication of immature melanosomes, our data
334 suggests that Dynlt3 plays some role in the regulation of melanosome maturity, or at
335 the very least, in the de-acidification of the melanosome lumen. Recently, it has been
336 shown that the maturation of melanosomes before transfer involves the formation
337 and release of membrane tubules containing proteins (e.g. Vamp7) that are needed
338 to tune the melanosome homeostasis (including the pH and melanin content) and
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339 ultimately their secretory capacity 5. The separation of these tubules from the mature
340 melanosome requires proteins involved in membrane scission (e.g. Myosin 6,
341 Optineurin), whose downregulation results in increased melanosome size and
342 acidity. One should note that Myosin 6 was upregulated in bcat* vs. WT melanocytes
343 (Fig. 2a). Our hypothesis is that since the level of Dynlt3 is reduced, the cell tries to
344 compensate for this reduction by increasing the amount of Myosin 6 to allow the
345 separation of these tubules from the melanosomes. Therefore, it is conceivable that
346 Dynlt3 plays a role in this process, possibly in the pulling, fission and/ or the
347 retrograde transport of the melanosomal tubules, therefore contributing to
348 melanosome maturation and secretion.
349 Taken together, our results have identified Dynlt3 as a novel and important
350 player in melanosome biology (transport, maturation and transfer) and in coat
351 coloration and pigmentation. Furthermore, our results suggest that cytoplasmic
352 dynein proteins may have other roles in the biology of different organelles, in addition
353 to their already established functions in organelle trafficking.
354
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355 MATERIALS AND METHODS
356
357 Cell culture
358 Mouse primary melanocyte cell lines were established from the skin of wild-type
359 (WT) and bcat* C57BL/6J transgenic mice as previously described 10. Melanocyte
360 cell lines were grown in Ham’s F12 media (Gibco, 21765-029) supplemented with
361 10% FBS (Gibco, 10270-106), antibiotics (100 U/mL penicillin and 100 μg/mL
362 streptomycin; Gibco, 15140), and 200nM TPA (Sigma, P1585). Balb/c MK mouse
363 epidermal keratinocytes were grown in Joklik Modified MEM (Sigma, M8028)
364 supplemented with 10% FBS, antibiotics (as above) and 5 ng/mL EGF (Sigma,
365 E9644). All cell lines were maintained at 37°C in a humidified atmosphere containing
366 5% CO2.
367 For co-culture experiments, the melanocyte and keratinocyte cell lines were
368 cultured in melanocyte growth media in the presence of 5 ng/mL EGF and 50 nM
369 CaCl2. Co-culture experiments were performed with a ratio of 2:1, keratinocytes to
370 melanocytes and the cells were left in co-culture for 10 days, after which they were
371 processed as described below. For immunofluorescence experiments, the cells were
372 plated on glass coverslips coated with 1 mg/mL collagen (Sigma, C7661).
373 Animal care, use, and experimental procedures were conducted in
374 accordance with recommendations of the European Community (86/609/EEC) and
375 Union (2010/63/UE) and the French National Committee (87/848). Animal care and
376 use were approved by the ethics committee of the Curie Institute in compliance with
377 the institutional guidelines.
378
379
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380 Transfection and infection of melanocyte cell lines
381 All cells were transfected using the Amaxa Cell Line Nucleofector Kit L (Lonza, VCA-
382 1005) according to the manufacturer’s recommendations. Briefly, cells were
383 trypsinized and counted, with 7.5x105 cells resuspended in the Amaxa transfection
384 reagent. Four micrograms of each respective plasmid or 100 pmol of siRNA was
385 added to the mixture, which was then transferred to a cuvette and incubated in the
386 Amaxa nucleofector. Following nucleofection, the cells were added to a six-well dish
387 containing pre-warmed growth media. The following day, the cells were washed and
388 incubated in fresh growth media supplemented with TPA. Transfections were
389 assayed 48 hours following nucleofection. Control GFP and β-catenin-GFP tagged
390 plasmids have been previously described 13. The Dynlt3-GFP (pCMV3-mDynlt3-
391 GFPSpark) and the control GFP vectors (pCMV3-GFP) were purchased from Sino
392 Biological (MG5A2492-ACG and CV026, respectively).
393 9v cells expressing a control shRNA or an shRNA against Dynlt3 (targeting
394 sequence: 5’-ATC AGA TGT TGT ATC CCA A-3’) were produced using viral
395 particles and Dharmacon SMARTvector plasmids (VSC11715 and V3SM11241-
396 233912870, respectively). Following infection, cells were selected using 1 μg/mL
397 puromycin.
398
399 siRNA sequences
400 siRNA targeting mouse β-catenin and Dynlt3 were purchased from Dharmacon as a
401 SMARTpool mix of 4 sequences. The sequences of the siRNA are as follows: for β-
402 catenin: 5'-GAA CGC AGC AGC AGU UUG U-3', 5'-CAG CUG GCC UGG UUU GAU
403 A-3', 5'- GCA AGU AGC UGA UAU UGA C-3', 5'- GAU CUU AGC UUA UGG CAA U-
404 3'; and for Dynlt3: 5’-CCC AUA AUA UAG UCA AAG A-3’, 5’-GGU GGU AAC GAU
17 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
405 UAU AAU G-3’, 5’-GGG GAA AGC UUA CAA GUA C-3’, 5’-CAG AGG AGC CCG
406 UAU GGA U-3’. A random, scrambled sequence (5’-AAU UCU CCG AAC GUG UCA
407 CGU-3’) was used as a control.
408
409 Semi-quantitative Real-time PCR
410 Total RNA was extracted from cells using the miRNeasy kit from Qiagen (217004)
411 according to the manufacturer’s protocol. Reverse transcription reactions were
412 performed with 500 ng of total RNA and M-MLV reverse transcriptase (Invitrogen),
413 according to the manufacturer’s instructions. The cDNA generated was then
414 subjected to quantitative real-time PCR for the analysis of gene expression using ABI
415 7900HT. Oligonulceotides used for PCR were as follows: for β-catenin, 5’-CGT
416 GGA CAA TGG CTA CTC AA-3’ (F) and 5’-TGT CAG CTC AGG AAT TGC
417 AC-3’ (R); for Dynlt3 5’-GCG ATG AGG TTG GCT TCA ATG CTG-3’ (F) and 5’-
418 CAC TGC ACA GGT CAC AAT GTA CTT G-3’ (R); and for Gapdh 5’-ACC CAG AAG
419 ACT GTG GAT GG-3’ (F) and 5’-CAC ATT GGG GGT AGG AAC AC-3’ (R). F means
420 forward. R means reverse.
421
422 Western blot analysis
423 Whole cell lysates were prepared from melanocyte cell lines using ice-cold RIPA
424 buffer supplemented with complete protease inhibitor cocktail and PhosStop
425 phosphatase inhibitor cocktail (Roche). For western blotting, 25 μg total protein was
426 separated on 15% denaturing acrylamide SDS-PAGE gels and the proteins
427 transferred to nitrocellulose membranes. Membranes were blocked in 5% non-fat
428 milk in Tris-buffered saline supplemented with 0.05% Tween-20 (TBST) and probed
429 with primary antibodies overnight. The signal was detected using peroxidase-
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430 conjugated anti-mouse or anti-rabbit secondary antibodies (refs) and enhanced
431 chemiluminescence (ECL; Thermo Fisher). The primary antibodies were used as
432 follows: Dynlt3, 1:200 (Sigma, hpa003938), β-catenin, 1:2000 (Abcam, ab6302),
433 GFP, 1:500 (Institut Curie), and β-actin, 1:10,000 (Sigma, A5441).
434
435 Immunofluorescence microscopy
436 Melanocyte cells were seeded on 18mm glass cover slips and grown to confluence,
437 after which they were washed twice with ice-cold PBS and fixed-permeabilized with
438 ice-cold methanol-acetone (1:1 solution) on ice for 5 minutes. Next, cells were
439 washed twice with cold PBS and blocked with a blocking solution containing 1% BSA
440 (w/v) and 10% FBS in PBS for 1 hour at room temperature. Cells were washed again
441 twice with PBS and then incubated with primary antibodies against anti-Tyrp1
442 (Abcam, ab3312) and anti-GFP (Institut Curie) at 4°C overnight. The following day,
443 the cells were washed again three times with PBS and then incubated with Alexa
444 555 anti-rabbit (ThermoFisher, A231572) or Alexa 488 anti-mouse (ThermoFisher,
445 A21202) secondary antibodies for 1 hour at room temperature in the absence of
446 light. Cells were then again washed two times before being counterstained with 0.5
447 µg/µL DAPI to visualize the nucleus. Coverslips were then mounted on glass slides
448 using ProLong Gold antifade reagent (Invitrogen, P36934). Images were then taken
449 using an Upright widefield Leica Microscope at 63X.
450 For co-culture experiments, mouse-keratinocyte co-cultures were washed
451 twice with cold PBS and then fixed with 4% paraformaldehyde (VWR 1.04005.1000)
452 for 20 min at room temperature. Following two washes with PBS, the cells were
453 permeabilized with 0.2% v/v Triton X-100 in PBS for 10 min at room temperature.
454 The cells were once again washed and then processed as described above, using
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455 anti-Hmb45 (Abcam, 787) and anti-plakoglobin (Abcam, 184919) primary antibodies.
456 Co-cultures were examined using a CLSM SP5 Leica confocal microscope.
457
458 Video microscopy and melanosome tracking
459 Cells were seeded in 6-well glass plates (MatTek Corporation P06G-1.5-20-F) and
460 were imaged using the Ratio 2 inverted video microscope. Cells were maintained at
461 37°C in a humidified atmosphere of 5% CO2 while videos were being taken. Videos
462 were taken at 100X objective over a period of 5 minutes, with one image taken every
463 0.5 sec, for a total number of 601 images. Videos were taken from a minimum of
464 nine melanocytes per cell line/transfection from three independent experiments.
465 From these melanocytes, the trajectories of 75 pigmented melanosomes were
466 manually followed using the Manual Tracking plugin for ImageJ 29. Each
467 melanosome path was chosen at random. The Manual Tracking allowed provided a
468 number of different parameters that were used to characterize the movement of the
469 individual melanosomes. Namely, we calculated the total distance the melanosomes
470 moved, which was the sum of values for all of the 601 frames. The Euclidean
471 distance was calculated as the distance between the melanosome position at the
472 first frame and the last frame. The average distance was calculated as the total
473 distance divided by the number of frames (601). Similarly, the average velocity was
474 calculated by taking the average distance per frame and dividing by the time (0.5
475 sec). Finally, the percentage of time the melanosomes were paused was calculated
476 by assessing the number of frames (out of the 601 total frames) where a “0” value
477 was recorded for the distance travelled. Distribution of spatiotemporal descriptors of
478 trajectories, in particular Mean Square Displacement characteristics, was computed
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479 and compared to simulated trajectories in order to distinguish convective vs. non-
480 convective movements (18 and supplementary information).
481
482 Melanosome number and localization quantification
483 Melanosome quantification was performed using ImageJ Analyze Particle feature. To
484 exclude melanosomes nearby the nuclear region, a circle of 15μm was designated
485 around the nucleus, as an arbitrary region of separation.
486 Melanosome localization in the different cell lines was quantified using
487 ImageJ. A line was drawn along the length of each individual cell, with the width of
488 the line extending to cover the entire cell. The pixel intensity along the length of the
489 line was used to give a quantitative measure of melanosome distribution. Pixel
490 intensity was measured from one end of the cell until reaching the nucleus, where
491 the measurement stopped and was then continued on the other side of the nucleus.
492 The data is presented as a measured pixel intensity over the percentage of the cell
493 covered (as such, all measurements end at 100, regardless of the cell length). A
494 trendline is presented (in red) to emphasize the trend.
495
496 Flow Cytometry
497 For all flow cytometry experiments, cells were trypsinized and the resulting
498 cell pellets were resuspended and fixed in 4% paraformaldehyde for 20 minutes at
499 room temperature. Following centrifugation, the cell pellets were then washed twice
500 with PBS containing 1% BSA and 0.1% saponin (Sigma, S4521). Cells were then
501 incubated in primary antibodies against Hmb45 and plakoglobin (both at 1:100) for 2
502 hours at 4°C in the absence of light. Next, cell pellets were washed once with
503 PBS/BSA/saponin and incubated in Alexa 647 mouse (ThermoFisher A31573) and
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504 Alexa 488 mouse secondary antibodies (at 1:500) for 1 hour. Cells were then
505 washed in PBS and resuspended in PBS + 0.1% azide. Flow cytometric analyses
506 were performed using a BD FACSCanto II machine.
507
508
509 Melanosome acidity
510 Cells were seeded in 60 mm dishes and allowed to reach approximately 75%
511 confluence. Acridine orange (Sigma, A6014) was added to the cells at 2.5 μg/mL and
512 incubated for 20 minutes at 37°C. The cells were then incubated in warm PBS and
513 imaged using a confocal microscope. To look at acridine orange staining, excitation
514 wavelengths between 450-490 nm and emission between 590-650 nm were used 30.
515 Melanosome acidity was assessed as by counting the number of pigmented
516 melanosomes that were positive for acridine orange staining. This was done by
517 merging the brightfield and acridine orange signals. The number of melanocytes
518 assessed per field of view was always kept constant.
519
520 Electron microscopy
521 Melanocytes seeded on coverslips were chemically fixed in 2.5 % (v/v)
522 glutaraldehyde, 2 % (v/v) paraformaldehyde in 0.1M cacodylate buffer for 24h at 4°C,
523 post-fixed with 1% (w/v) osmium tetroxide supplemented with 1.5% (w/v) potassium
524 ferrocyanide, dehydrated in ethanol and embedded in Epon as previously described
525 31. Ultrathin sections of cell monolayers or tissue were prepared with a Reichert
526 UltracutS ultramicrotome (Leica Microsystems) and contrasted with uranyl acetate
527 and lead citrate. Electron micrographs were acquired on a Tecnai Spirit electron
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528 microscope (FEI, Eindhoven, The Netherlands) equipped with a 4k CCD camera
529 (EMSIS GmbH, Münster, Germany).
530
23 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
531
532 ACKNOWLEDGEMENTS
533 ZA was supported by the Fondation ARC and Labex ANR Labex CelTisPhyBio
534 (ANR-11-LABX-0038 and ANR-10-IDEX-0001-02 PSL). ACP was supported by a
535 fellowship from Institut Curie. We are grateful to the Rimbaud and Delmas families
536 for their donations to our laboratory. This work was supported by Ligue Contre le
537 Cancer, Fondation ARC, Institut Carnot, INCa, and ITMO Cancer, CNRS, INSERM
538 and the French National Research Agency through the "Investments for the Future"
539 program (France-BioImaging, ANR-10-INSB-04), and is under the program
540 «Investissements d’Avenir» launched by the French Government and implemented
541 by ANR Labex CelTisPhyBio (ANR-11-LABX-0038 and ANR-10-IDEX-0001-02 PSL).
542 We acknowledge the PICT-IBiSA, member of the France-BioImaging national
543 research infrastructure.
544
545
24 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
546 REFERENCES
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644
645
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646 Figure legends
647
648 Figure 1. Melanosomes are distributed at the periphery of melanocytes
649 expressing activated β-catenin.
650 a) Brightfield (top) and inverse brightfield (bottom) images of WT (9v) and bcat* (10d)
651 melanocytes. Bar, 20 μm.
652 b) Quantitation of pixel intensity (in black) across the length of the WT and bcat*
653 melanocytes shown in Panel A. Trendlines are shown in red.
654 c) Quantification of the total number of melanosomes in WT and bcat* melanocytes.
655 Results represent the mean ± SD of pooled data from three independent
656 experiments with a total of nineteen WT and fourteen bcat* cells. ns signifies no
657 statistical significance (p > 0.05) as determined by the two-sided Mann-Whitney
658 test.
659 d) Quantification of the number of perinuclear melanosomes (in a 15 µm diameter
660 circle centered around the nucleus) in WT and bcat* melanocytes. Results
661 represent the mean ± SD of pooled data from three independent experiments
662 with a total of nineteen WT and fourteen bcat* cells. Statistical significance was
663 determined by the two-sided Mann-Whitney test and *** signifies p < 0.001.
664 e) Immunofluorescence analysis of WT and bcat* melanocytes. Cells were
665 processed for immunofluorescence and stained with anti-Tyrp1 (red) antibodies
666 and the nuclei were stained with DAPI (blue). Note that Tyrp1 staining was also
667 observed in compartments adjacent to the nucleus, which is most likely the
668 protein that is being synthesized and processed in the Golgi/ER. Bar, 20 μm.
669 670 Figure 2. Dynlt3 is downregulated after β-catenin expression.
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671 a) Expression profile of 67 genes associated with trafficking of melanosomes and
672 other lysosome related organelles (LRO). Data was obtained from Affymetrix
673 mRNA transcriptomic analyses and is presented as the ratio of expression of
674 bcat* (10d) cells to WT (9v) cells. The raw data set is available upon request.
675 b) RT-qPCR analysis of Dynlt3 mRNA levels in WT and bcat* melanocytes.
676 c) Western blot analysis of Dynlt3 protein levels in WT and bcat* melanocytes.
677 Quantification of the data is presented below from four independent experiments.
678 d,e) RT-qPCR analysis of β-catenin (D) and Dynlt3 (E) expression in WT
679 melanocytes following transfection with the βcat-∆ex3-GFP (βcat) expression
680 vector or a GFP control.
681 f) Western blot of βcat and Dynlt3 levels in WT melanocytes following transfection
682 with the βcat-∆ex3-GFP (βcat) expression vector or a GFP control.
683 g) Quantification of the Dynlt3 western blot data presented in Panel F.
684 h,i) RT-qPCR analysis of β-catenin (H) and Dynlt3 (I) expression in WT melanocytes
685 following transfection with either a control siRNA or siRNA targeting β-catenin.
686 j) Western blot of βcat and Dynlt3 levels in WT melanocytes following transfection
687 with either a control siRNA or siRNA targeting β-catenin.
688 k) Quantification of the Dynlt3 western blot data presented in Panel J.
689 l,m) RT-qPCR analysis of β-catenin (L) and Dynlt3 (M) expression in bcat*
690 melanocytes following transfection with either a control siRNA or siRNA targeting
691 β-catenin.
692 n) Western blot of βcat and Dynlt3 levels in bcat* melanocytes following transfection
693 with either a control siRNA or siRNA targeting β-catenin.
694 o) Quantification of the Dynlt3 western blot data presented in Panel N.
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695 For western blot analysis, all statistical significance was determined using unpaired
696 two-sided T-tests. *: p < 0.05; **: p < 0.01; ***: p < 0.001.
697
698 Figure 3. Melanosomes are distributed primarily at the periphery of
699 melanocytes when Dynlt3 levels are decreased.
700 a) Brightfield (top) and inverse brightfield (bottom) images of WT (9v) cells
701 transfected with either siControl (left) or siDynlt3 (right). Bar, 20 μm. Ctrl means
702 control.
703 b) Western blot analysis of Dynlt3 levels in WT cells transfected with siControl (Ctrl)
704 or siDynlt3. Relative quantification of the western blot analysis was performed
705 from three independent experiments. Statistical significance was determined
706 using unpaired two-sided T-tests. *** p<0.002.
707 c) Quantitation of pixel intensity (in black) across the length of the WT cells
708 transfected with siControl or siDynlt3 shown in Panel A. Trendlines are shown in
709 red.
710 d) Quantification of the number of perinuclear melanosomes (in a 15 µm diameter
711 circle centered around the nucleus) in WT melanocytes transfected with siCtrl or
712 siDynlt3. Results represent the mean ± SD of pooled data from three independent
713 experiments with a total of nineteen WT-siCtrl and twenty-one WT-siDynlt3 cells.
714 Statistical significance was determined by the two-sided Mann-Whitney test, ***: p
715 < 0.001.
716 e) Quantification of the total number of melanosomes in WT melanocytes transfected
717 with siCtrl or siDynlt3. Results represent the mean ± SD of pooled data from three
718 independent experiments with a total of nineteen WT-siCtrl and twenty-one WT-
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719 siDynlt3 cells. Statistical significance was determined by the two-sided Mann-
720 Whitney test, ns: not significant.
721 f) Immunofluorescence analysis of WT melanocytes transfected with siCtrl or or
722 siDynlt3. Cells were processed for immunofluorescence 48 hours after
723 transfection and stained with anti-Tyrp1 (red) antibodies. Nuclei were stained with
724 DAPI (blue). Note that Tyrp1 staining was also observed in compartments
725 adjacent to the nucleus, which is most likely the protein that is being synthesized
726 and processed in the Golgi/ER. Scale bar, 20 μm.
727
728 Figure 4. Overexpression of Dynlt3 redistributes melanosomes in bcat*
729 melanocytes.
730 a) Brightfield (top), inverse brightfield (middle) and GFP (bottom) images of bcat*
731 (10d) melanocytes transiently expressing GFP or GFP-tagged Dynlt3. Bar,
732 20 μm.
733 b) Quantitation of pixel intensity (in black) across the length of the bcat*-GFP and
734 bcat*-Dynlt3GFP melanocytes shown in Panel A. Trendlines are shown in red.
735 c) Immunofluorescence analysis of bcat* melanocytes transiently expressing GFP or
736 GFP-tagged Dynlt3. Cells were processed for immunofluorescence and stained
737 with anti-Tyrp1 (red) antibodies and the nuclei were stained with DAPI (blue). Bar,
738 20 μm.
739
740 Figure 5. Melanosome movement is increased in cells producing active β-
741 catenin or with diminished levels of Dynlt3.
742 Melanosome movement (corresponding mainly to stage IV melanosome) was
743 assessed by brightfield video microscopy over a period of 5 minutes and
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744 melanosome trajectories were followed using ImageJ software. For each cell line,
745 75 melanosomes were followed from a minimum of 5 independent cells. WT (9v)
746 cell lines were transfected with control GFP or β-catenin-GFP expression vectors,
747 respectively. Analyses were performed on both transfected (i.e. GFP-positive)
748 and non-transfected (i.e. GFP-negative) cells. In addition, WT cells were
749 transfected with either control or Dynlt3 shRNA vectors and analyses were
750 performed on the resulting red cells. Each dot represents one melanosome. (a)
751 The total distance indicates the sum of all of the individual tracks for each
752 melanosome, (c) The Euclidean distance refers to the distance between the start
753 and end position of each melanosome. (d) The percentage of time that each
754 melanosome spent stationary/paused refers to the proportion of the number of
755 tracks where no movement was measured compared to the total number of
756 tracks. (b) The level of Dynlt3 in these different cell lines was evaluated after
757 western blot analysis. Relative quantification of the western blot analysis was
758 performed from three to four independent experiments. In panel c, one outlier
759 was removed from WT+βcat+, its value was 20 μm. For western blot analysis, all
760 statistical significance was determined using unpaired two-sided T-tests.
761 **:p <0.01; *** p<0.001. For the other analyses, statistical significance was
762 measured using two-sided Mann-Whitney test. **** p < 0.0001.
763
764 Figure 6. Increased convective movement of melanosomes in cells with
765 increased levels of β-catenin or decreased Dynlt3.
766 a,b) Schematic representation of not convective (a) and convective (b) movement.
767 The purple ellipse represents the cargo. The arrows represent the direction and
32 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
768 the orientation of the movement, and the length of the arrows are directly
769 proportional to the magnitude of the movement.
770 c) α MSD distributions for WT-shCtrl (blue) and WT-shDynlt3 (red) populations of
771 trajectories, compared to the distribution for simulated Brownian (purely diffusive)
772 random walks (nwalks=10 000, with the same nsteps (601) as for experimental
773 trajectories). Theoretical shifts compared to Brownian process when adding
774 convection, noise, tethering or confinement are indicated with arrows. **,
775 statistically significant difference between WT-shDynt3 and WT-shCtrl, p<0.005.
776 Statistical analyses were done using a Wilcoxon test.
777 d) μ2S, μ2L plots reflecting the extent of WT-shCtrl (b) and WT-shDynlt3 (c)
778 trajectories. Each point corresponds to one trajectory. Lines correspond to
779 frontiers between non-convective (NC) and convective (C) trajectories: see SI for
780 criteria and validation.
781 e) Number of non-convective (NC) trajectories for melanosomes in WT, bcat*, WT-
782 GFP, WT- βcat-∆ex3-GFP, WT-shCtrl and WT-shDynlt3 cells, out of 75
783 trajectories for each population of trajectories. The same frontiers were used for all
784 populations (see SI). Error bars correspond to trajectories between the two
785 frontiers (see Fig. 5d, and supplementary Fig. 5S).
786
787 Figure 7. Melanosome maturation and transfer are altered in cells producing
788 active β-catenin or with diminished level of Dynlt3.
789 a) Quantitation of acridine orange positive melanosomes in WT, bcat*, WT + siCtrl
790 and WT + si Dynlt3 cells.
791 b) Photograph of wild-type and bcat* adult mice (left) and of their respective dorsal
792 hairs (right).
33 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
793 c) Immunofluorescence analysis of melanosome transfer between melanocytes WT
794 (9v) or bcat* (10d) and Balb/c MK keratinocytes. Melanocytes and keratinocytes
795 were co-cultured for 10 days, fixed and processed for immunofluorescence
796 analyses using Plakoglobin and HMB45 antibodies. The yellow arrows indicate
797 Pmel positive staining localized outside of melanocytes.
798 d) Quantitation of the percentage of Pmel and Plakoglobin double positive cells is
799 presented (right). Pmel positivity is assessed as being either positive or negative
800 within each respective keratinocyte. Quantitation was done from a minimum of
801 three independent co-cultures.
802 e) Immunofluorescence analysis of melanosome transfer between melanocytes (WT
803 + sh Ctrl or WT + shDynlt3) and Balb/c MK keratinocytes. Melanocytes and
804 keratinocytes were co-cultured for 10 days, fixed and processed for
805 immunofluorescence analyses using Plakoglobin and HMB45 antibodies. The
806 yellow arrows indicate Pmel positive staining localized outside of melanocytes.
807 f) Quantitation of the percentage of Pmel and Plakoglobin double positive cells is
808 presented (right). Pmel positivity was assessed as being either positive or
809 negative within each respective keratinocyte. Quantitation was done from a
810 minimum of three independent co-cultures.
811
34 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
812 Dynlt3, a novel fundamental regulator of melanosome movement,
813 distribution, maturation and transfer
814
815 Zackie Aktary1-3, Alejandro Conde-Perez1-3, Florian Rambow1-3, Mathilde Di Marco6,7, 816 François Amblard3-5, Ilse Hurbain6,7, Graça Raposo6,7, Cédric Delevoye6,7, Sylvie 817 Coscoy3,4, & Lionel Larue1-3* 818
819
820
821 Supplementary information
822
823
824
825 This part is associated with Figure 5. Eight descriptors were defined: α, ρ, μ2L, μ2S,
826 μ3L, μ3S, μ4L and μ4S. The comparison between a set of experiments and a set of
827 simulated trajectories was performed by fitting the distributions of eight descriptors
828 (MSD exponent, anisotropy, the second [q=2], third [q=3, skewness] and fourth [q=4,
829 kurtosis] normalized moments projected on the two main L and S axis (Fig. 6 and
830 Supplementary Fig. 5). The seven other descriptors refer only to 2D spatial
831 characteristics and were obtained by projecting trajectory points on its own axis
832 system, giving two unidimensional distributions which were statistically described by
833 the computation of moments (E) of order q (2-4) (l corresponds to the center scalar
834 distribution of the projection of the long axis, n to sample size, the second moment
835 (when q=2) E2 [long axis] is named μ2L-abs), and by anisotropy defined as the ratio of
836 the second moments μ2S-abs / μ2L-abs (s means short axis).
837 Small amplitude WT melanosome subpopulation was non convective (fitting
838 with anisotropic Brownian movement + elastic tethering + noise), estimated to 39%
35 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
839 of WT melanosome population. In contrast, only half of the population of the bcat*
840 "small" was non-convective, and the other half was convective, estimated to 7% of
841 bcat* population.
842 Large amplitude WT and bcat* subpopulations correspond to convective
843 behavior of melanosomes. Convective behavior may correspond to two types of
844 movement: intermittent or uniform. We consider the movement uniform when the
845 velocity of each melanosome is constant during the whole observation period, and
846 intermittent if the conditions are not fulfilled. We cannot discriminate between the
847 uniform and intermittent behaviors of the wt or bcat* melanosomes. This is due to the
848 fact the velocity is too low compared to the diffusion.
849
36 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
850 Supplementary Figure Legends
851
852 Supplementary Figure 1. Melanosomes are distributed at the periphery of
853 melanocytes expressing exogenous activated β-catenin.
854 a) Brightfield (top), inverse brightfield (middle) and GFP (bottom) images of WT (9v)
855 melanocytes transiently expressing GFP or GFP-tagged β-catenin. Bar, 20 μm.
856 b) Quantitation of pixel intensity (in black) across the length of the WT-GFP and WT-
857 β-catGFP melanocytes shown in Panel A. Trendlines are shown in red.
858 c) Immunofluorescence analysis of WT melanocytes transiently expressing GFP or
859 GFP-tagged b-catenin. Cells were processed for immunofluorescence and
860 stained with anti-Tyrp1 (red) antibodies and the nuclei were stained with DAPI
861 (blue). Bar, 20 μm.
862
863 Supplementary Figure 2. bcat* melanosomes are larger than WT melanosomes.
864 a,b) Transmission electron microscopy of WT (a) and bcat* (b) melanocytes. Scale
865 bar: 2 μm.
866 c) Length of melanosome was determined from four WT and five bcat* melanocytes
867 with a total of at least 200 melanosomes per cell line. Statistical significance was
868 measured using two-sided Mann-Whitney test. **** p < 0.0001.
869
870 Supplementary Figure 3. Dynlt3, and not Dynlt1, is expressed in WT and
871 downregulated in bcat* melanocytes.
872 Ct values for RT-qPCR analysis of Dynlt3 (A) and Dynlt1 (B) mRNA expression in
873 two cell lines derived from WT mice (9v and 13d) and two from bcat* mice (10d and
874 14d).
37 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
875
876 Supplementary Figure 4. Melanosome movement is increased in cells
877 producing active β-catenin or with diminished level of Dynlt3.
878 Melanosome movement (corresponding mainly to stage IV melanosome) was
879 assessed by brightfield video microscopy over a period of 5 minutes and
880 melanosome trajectories were followed using ImageJ software. For each cell line, 75
881 melanosomes were followed from a minimum of five independent cells. WT (9v) cell
882 lines were transfected with control GFP or β-catenin-GFP expression vectors,
883 respectively. Analyses were performed on both transfected (i.e. GFP-positive) and
884 non-transfected (i.e. GFP-negative) cells. In addition, WT cells were transfected with
885 either control or Dynlt3 shRNA vectors and analyses were performed on the resulting
886 red cells. Each dot represents one melanosome. The average distance (a) and the
887 average velocity (b) for each melanosome are shown, Statistical significance was
888 measured using two-sided Mann-Whitney test. **** p < 0.0001.
889
890 Supplementary Figure 5. Mathematical modeling of melanosome trajectories.
891 a,d) α MSD distributions for 9v and 10d (a), and 9v-Ctrl and 9v-bcat (d) populations
892 of trajectories, compared to the distribution for simulated Brownian (purely
893 diffusive – black line) random walks (nwalks=10 000, with the same nsteps (601)
894 as for experimental trajectories). Theoretical shifts compared to Brownian process
895 when adding convection, noise, tethering or confinement are indicated with
896 arrows.
897 b,c,e,f) μ2S, μ2L plots reflecting the extent of 9v (b), 10d (c), 9v Ctrl (e), and 9v bcat (f)
898 trajectories. Each point corresponds to one trajectory. Lines correspond to
38 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
899 frontiers between non-convective (NC) and convective (C) trajectories: see SI for
900 criteria and validation.
901 g,h,i) α MSD, anisotropy, L and S second moments, L and S skewness, and L and S
902 kurtosis distributions for 9v and 10d (g), 9v-Ctrl and 9v-bcat (h), and 9v Sh Ctrl
903 and 9v Sh Dynlt3 (i) populations of trajectories, compared to the distribution for
904 simulated Brownian (purely diffusive – black line).
905 j,k,l) Criteria to establish the frontiers for non-convective (NC) and convective (C)
906 movement for α MSD, anisotropy, and L and S second moments distributions. On
907 the top and the bottom the lower and upper subdivisions are given, respectively.
908
909 Supplementary Figure 6. FACS analysis of melanosome transfer.
910 a) FACS analysis of Hmb45 and plakoglobin positive cell populations in WT and
911 bcat* melanocytes.
912 b) Quantitation of melanosome transfer assayed by FACS. WT (9v), bcat* (10d), WT
913 + sh Ctrl or WT + sh Dynlt3 melanocytes were co-cultured with Balb/c MK mouse
914 keratinocytes for 10 days, after which the co-cultures were fixed and processed
915 for FACS analyses using Hmb45 and Plakoglobin antibodies. The percentage of
916 Plakoglobin and Hmb45 double positive cells within each respective co-culture is
917 presented. Quantitation was done from a minimum of five independent co-culture
918 experiments.
919 c) Gating strategy for FACS experiments. Melanocyte and keratinocyte cells were
920 stained with either control IgG, plakoglobin or Pmel antibodies. The live cell
921 population was chosen for gating. IgG control antibodies were used to establish a
922 baseline of background signal. Following this, the established gate was applied to
923 samples stained with the respective antibodies of interest. The gates were kept
39 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
924 constant for all cell lines (melanocyte and keratinocyte) and for the co-culture
925 experiments.
926
40 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
927 928 929 930 931 Supplementary Table 1. Mouse models associated with mutations in 67 932 genes involved in trafficking of melanosomes 933 and other lysosome related organelles (LRO). 934 935 936 937 938 Gene Gene Product Human Mouse Model Stage Disease TYR TYR OCA1 Albino Maturation OCA2 OCA2/P OCA2 Pink eye dilution Maturation TYRP1 TYRP-1 OCA3 Brown Maturation SLC45A2 SLC45A2/MATP OCA4 Underwhite Maturation DCT DCT/TRP-2 Slaty Maturation PMEL PMEL/Pmel17/Silver/ Silver Maturation gp100 GPR143 GPR143/OA1 OA1 Oa1 Biogenesis MLANA MART1/melan-a Melan-a Maturation AP3B1 AP-3β3a subunit HPS2 Pearl Transport AP3D1 AP3 δ subunit Mocha Transport AP3M1 AP-3 µ3a subunit no2 Transport AP3S1 AP-3 σ3a subunit no2 Transport BLOC1S5 Muted Muted Transport BLOC1S4 Cappuccino HPS1 Cappuccino Transport DTNBP1 Dysbindin HPS7 Sandy Maturation BLOC1S3 BLOS3 HPS8 Reduced Biogenesis pigmentation PLDN Pallidin HPS9 Pallid Maturation BLOC1S1 BLOS1 No reported coat Transport color BLOC1S2 BLOS2 no2 Transport SNAPIN Snapin Perinatal lethality1 Transport HPS1 HPS1 HPS1 Pale ear Biogenesis HPS3 HPS3 HPS3 Cocoa Biogenesis HPS4 HPS4 HPS4 Light ear Biogenesis HPS5 HPS5 HPS5 Ruby-eye 2 Biogenesis HPS6 HPS6 HPS6 Ruby-eye Biogenesis VPS11 VPS11 no2 Transport VPS16 VPS16 no2 Transport VPS18 VPS18 no reported coat Transport color3 VPS33A VPS33A Buff Maturation VPS39 VPS39/Vam6 no2 Transport VPS41 VPS41 Embryonic lethal3 Transport VPS33B VPS33B ARCS1 no2 Maturation C14ORF13 VIPAR/VPS16B ARCS2 no2 Transport 3 RABGGTA Subunit of Rab Gunmetal Biogenesis geranylgeranyl transferase II LYST LYST CHS Beige Transport MYO5A Myosin VA GS1 Dilute Transport RAB27A RAB27A GS2 Ashen Transport 41 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
MLPH Melanophilin GS3 Leaden Transport STX17 Syntaxin 17 no2 Elimitation TRAPPC6 TRAPPC6A Mhyp Transport A VAC14 VAC14/ARPIKFYVE Inglis (infantile Transport gliosis) FIG4 Fig/SAC3 CMT4J Pale tremor Maturation AP1S1 AP-1 σ1 subunit no2 Transport AP1S2 AP-1 σ2 subunit no2 Transport AP1S3 AP-1 σ3 subunit no2 Transport AP1M2 AP-1 µ2 subunit no2 Transport ATG7 Autophagy related 7 Perinatal lethality3 Elimination ATG13 Autophagy related 13 no1 Elimination BACE2 Bace2/ASP1 No phenotype Biogenesis CD63 Cd63 No coat color Biogenesis phenotype DCTN1 Dynactin 1 Embryonic lethal3 Transport F2RL1 F2RL1 No coat color Transfer phenotype GPNMB GPNMB Eye color Transfer phenotype KIF13A KIF13A No coat color Maturation/Transport phenotype KIF3A KIF3A Embryonic lethal3 Transport KIF3B KIF3B Embryonic lethal3 Transport KIF5B KIF5B Embryonic lethal3 Transport MREG Melanoregulin Dilute suppressor Transfer RAB32 RAB32 no2 Biogenesis RAB11B RAB11B no2 Transfer RAB38 RAB38 chocolate Biogenesis RILP RILP no2 Transport SLC24A5 OCA6 hypopigmentation Maturation TSG101 TSG101/VPS23 Embryonic lethal3 Maturation MYO6 Myosin VI no2 Biogenesis DYNLT3 DYNLT3 no2 Transport RAB3D RAB3D No coat color Elimination phenotype 939 940 941 1: no conditional mutant mice available 942 2: absence of mouse model 943 3: conditional mutant mice available. Inactivation in the melanocyte lineage was not 944 performed yet. 945
42
a WT bcat*
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. brightfield
inverse brightfield
b WT bcat* 150 150 ty (a.u.) ensi ty ty (a.u.) ensi ty 100 100 in t in t el ixel P Pix 50 50 0 50 100 0 50 100
Distance (a.u.) Distance (a.u.)
nb of melanosomes/cell Perinuclear melanosomes c ns d 6 40 *** 30 3 4 20 %
x 10 2 10
0 0 WT bcat* WT bcat* e WT bcat*
Tyrp1 DAPI
Figure 1 Aktary et al 0.0 0.5 1.0 1.5 2.0 2.5 3.0 k j i h d o n m l a.u. a.u. a.u. 0.0 0.5 1.0 1.5 0.0 0.5 1.0 1.5 20 40 60 MYO6 iβcat si iβcat si 0 D2ERTD391E Ctnnb1 mRNA LYST a MYO5A BLOC1S1 Ctnnb1 mRNA GFP Ctrl bioRxiv preprint Ctnnb1 mRNA Ctrl SLC45A2 RABGGTA BLOC1S2 bcat* HPS5 WT WT ***
*** OCA2 HPS3 *** KIF13A MLANA (which wasnotcertifiedbypeerreview)istheauthor/funder.Allrightsreserved.Noreuseallowedwithoutpermission. βcat RAB38 BLOC1S3
TRAPPC6A doi: FIG4 RAB32
STX17 https://doi.org/10.1101/2021.01.13.426541 VPS33A
GPNMB bcat* (10d)vs.WT MLPH
e HPS4 DCT GPR143 a.u. a.u. 0.0 0.5 a.u. 1.0 TYRP1
si si BACE2 0 1 2 3 0 1 2 3 VPS39 RAB27A
Dynlt3 mRNA AP3D1 VPS18 GFP Dynlt3 mRNA Ctrl Dynlt3 mRNA Ctrl AP3B1 AP1S3
bcat* PMEL WT WT AP1M2 *** F2RL1 *** VAC14
*** KIF5B VPS33B βcat βcat βcat VPS11 HPS6 CNO VPS41 ATG7
Figure 2 PLDN
KIF3B ;
AP1S2 this versionpostedJanuary13,2021. Dynlt3 Dynlt3 Dynlt3 RAB11B (9v) f actin actin actin VPS16 GFP βcat βcat βcat SNAPIN TYR
s s RILP
i i AP3M1 DTNBP1 TSG101 GFP
Ctrl AP1S1 Ctrl MREG bcat* HPS1 WT WT DCTN1 KIF3A
β AP3S1 βcat β DNAIC1 c
c DYNLT3 at
at FHIT MUTED RAB31 RAB3D 42 13 88 kDa 42 13 88 kDa 42 13 29 120 88 120 kDa
The copyrightholderforthispreprint β-actin c b g Dynlt3
a.u. a.u. GFP a.u. a.u a.u. 0.0 0.5 1.0 1.5 0.0 0.5 1.0 si si 0.0 0.5 1.0 0 1 2 3 0 1 2 3 Dynlt3 protein Dynlt3 protein Dynlt3 mRNA Ctrl Ctrl WT WT WT Dynlt3 protein - bcat* Aktary etal WT WT ** * ** ** * βcat βcat βcat bcat* bcat* bcat* 13 kDa 42 a WT si Ctrl si Dynlt3 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
brightfield
inverse brightfield b si Ctrl Dynlt3 c WT siCtrl siDynlt3 Dynlt3 120 100 Actin ensi ty (au) 80 *** in t
1.0 el 60 a.u. 0.5 Pix 0 50 100 0 50 100 0.0 Distance (au) si Ctrl Dynlt3 Distance (au) d Perinuclear melanosomes e nb melanosomes/cell 5 ns 40 *** 4 3 30 3
20 x 10 % 2 10 1 0 0 si Ctrl Dynlt3 si Ctrl Dynlt3 f WT si Ctrl si Dynlt3
Tyrp1 DAPI
Figure 3 Aktary et al a bcat* GFP Dynlt3-GFP bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
brightfield
inverse brightfield
GFP
b bcat* GFP Dynlt3-GFP
(a .u.) 150
ty ensi ty 100 in t el 50 Pix 0 50 100 0 50 100 Distance (a.u.) Distance (a.u.)
c bcat* GFP Dynlt3-GFP
Tyrp1 DAPI
Figure 4 Aktary et al bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
WT bcat* ** a Total Distance b 1.0 Dynlt3 **** **** a.u 0.5 ns **** Actin 0.0 60 WT bcat* WT + **
GFP βcat 1.0 40 Dynlt3
a.u 0.5 Actin 0.0 GFP β-catGFP
Distance ( μ m) 20 WT + sh *** Ctrl Dynlt3 1.0 0 Dynlt3
a.u 0.5 -- GFP- GFP+ βcat+ βcat- shCtrl shDynlt3 Actin 0.0 sh Ctrl Dynlt3 bcat* WT
Euclidean Distance Pausing Melanosome s c d
15 **** **** **** 100 pau sed m) 10 μ
f t ime 50 o 5 Distance ( Distance ercen t P 0 0 -- GFP- GFP+ βcat+ βcat- shCtrl shDynlt3 -- GFP- GFP+ βcat+ βcat- shCtrl shDynlt3
bcat* WT bcat* WT
Figure 5 Aktary et al. bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
1.0 a Not convective c e (NC) 100 ** 75 0.5 cdf WT + WT + 50 sh Ctrl sh Dynlt3 % C 25 (C) 0.0 0 0.4 0.6 0.8 1.0 1.2 1.4 α WTbcat* WT + bcat WT + sh MSD neg pos Ctrl Dynlt3 b Convective 104 d L WT + sh Ctrl C L C 2 103 S S
2
2S 10 μ -abs ( m )
NC WT + sh Dynlt3 101 NC NC 0 0 10 101 102 103 10 101 102 103 2 μ-abs (μm 2 ) μ-abs (μm )
Figure 6 Aktary et al bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint a (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 25 ** 25 ** 20 20
15 15
10 10
5 5
0 0 nb of acidic melanosomes/field WT bcat* nb of acidic melanosomes/field WT + siCtrl WT + siDynlt3 b c Plakoglobin Hmb45 Plakoglobin / Hmb45
WT WT
bcat* WT bcat* bcat* 50 * d 40 30 20 e Plakoglobin Hmb45 Plakoglobin / Hmb45 10 % Ker with Hmb45 0 WT bcat* WT + sh * Ctrl 50 f 40 30
20 WT + sh 10 Dynlt3 % Ker with Hmb45 0 WT + sh Ctrl Dynlt3
Figure 7 Aktary et al.
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Dynlt3, a novel fundamental regulator of melanosome movement,
2 distribution, maturation and transfer
3
4 Zackie Aktary1-3, Alejandro Conde-Perez1-3, Florian Rambow1-3, Mathilde Di Marco6,7, 5 François Amblard3-5, Ilse Hurbain6,7, Graça Raposo6,7, Cédric Delevoye6,7, Sylvie 6 Coscoy3,4, & Lionel Larue1-3* 7
8
9
10 Supplementary information
11
12
13
14 This part is associated with Figure 5. Eight descriptors were defined: α, ρ, µ2L, µ2S,
15 µ3L, µ3S, µ4L and µ4S. The comparison between a set of experiments and a set of
16 simulated trajectories was performed by fitting the distributions of eight descriptors
17 (MSD exponent, anisotropy, the second [q=2], third [q=3, skewness] and fourth [q=4,
18 kurtosis] normalized moments projected on the two main L and S axis (Fig. 6 and
19 Supplementary Fig. 5). The seven other descriptors refer only to 2D spatial
20 characteristics and were obtained by projecting trajectory points on its own axis
21 system, giving two unidimensional distributions which were statistically described by
22 the computation of moments (E) of order q (2-4) (l corresponds to the center scalar
23 distribution of the projection of the long axis, n to sample size, the second moment
24 (when q=2) E2 [long axis] is named µ2L-abs), and by anisotropy defined as the ratio of
25 the second moments µ2S-abs / µ2L-abs (s means short axis).
26 Small amplitude WT melanosome subpopulation was non convective (fitting
27 with anisotropic Brownian movement + elastic tethering + noise), estimated to 39%
1
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 of WT melanosome population. In contrast, only half of the population of the bcat*
2 "small" was non-convective, and the other half was convective, estimated to 7% of
3 bcat* population.
4 Large amplitude WT and bcat* subpopulations correspond to convective
5 behavior of melanosomes. Convective behavior may correspond to two types of
6 movement: intermittent or uniform. We consider the movement uniform when the
7 velocity of each melanosome is constant during the whole observation period, and
8 intermittent if the conditions are not fulfilled. We cannot discriminate between the
9 uniform and intermittent behaviors of the wt or bcat* melanosomes. This is due to the
10 fact the velocity is too low compared to the diffusion.
11
2
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Supplementary Figure Legends
2
3 Supplementary Figure 1. Melanosomes are distributed at the periphery of
4 melanocytes expressing exogenous activated β-catenin.
5 a) Brightfield (top), inverse brightfield (middle) and GFP (bottom) images of WT (9v)
6 melanocytes transiently expressing GFP or GFP-tagged β-catenin. Bar, 20 µm.
7 b) Quantitation of pixel intensity (in black) across the length of the WT-GFP and WT-
8 β-catGFP melanocytes shown in Panel A. Trendlines are shown in red.
9 c) Immunofluorescence analysis of WT melanocytes transiently expressing GFP or
10 GFP-tagged b-catenin. Cells were processed for immunofluorescence and
11 stained with anti-Tyrp1 (red) antibodies and the nuclei were stained with DAPI
12 (blue). Bar, 20 µm.
13
14 Supplementary Figure 2. bcat* melanosomes are larger than WT melanosomes.
15 a,b) Transmission electron microscopy of WT (a) and bcat* (b) melanocytes. Scale
16 bar: 2 µm.
17 c) Length of melanosome was determined from four WT and five bcat* melanocytes
18 with a total of at least 200 melanosomes per cell line. Statistical significance was
19 measured using Mann-Whitney test. **** p < 0.0001.
20
21 Supplementary Figure 3. Dynlt3, and not Dynlt1, is expressed in WT and
22 downregulated in bcat* melanocytes.
23 Ct values for RT-qPCR analysis of Dynlt3 (A) and Dynlt1 (B) mRNA expression in
24 two cell lines derived from WT mice (9v and 13d) and two from bcat* mice (10d and
25 14d).
3
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1
2 Supplementary Figure 4. Melanosome movement is increased in cells
3 producing active β-catenin or with diminished level of Dynlt3.
4 Melanosome movement (corresponding mainly to stage IV melanosome) was
5 assessed by brightfield video microscopy over a period of 5 minutes and
6 melanosome trajectories were followed using ImageJ software. For each cell line, 75
7 melanosomes were followed from a minimum of five independent cells. WT (9v) cell
8 lines were transfected with control GFP or β-catenin-GFP expression vectors,
9 respectively. Analyses were performed on both transfected (i.e. GFP-positive) and
10 non-transfected (i.e. GFP-negative) cells. In addition, WT cells were transfected with
11 either control or Dynlt3 shRNA vectors and analyses were performed on the resulting
12 red cells. Each dot represents one melanosome. The average distance (a) and the
13 average velocity (b) for each melanosome are shown, Statistical significance was
14 measured using Mann-Whitney test. **** p < 0.0001.
15
16 Supplementary Figure 5. Mathematical modeling of melanosome trajectories.
17 a,d) α MSD distributions for 9v and 10d (a), and 9v-Ctrl and 9v-bcat (d) populations
18 of trajectories, compared to the distribution for simulated Brownian (purely
19 diffusive – black line) random walks (nwalks=10 000, with the same nsteps (601)
20 as for experimental trajectories). Theoretical shifts compared to Brownian process
21 when adding convection, noise, tethering or confinement are indicated with
22 arrows.
23 b,c,e,f) µ2S, µ2L plots reflecting the extent of 9v (b), 10d (c), 9v Ctrl (e), and 9v bcat (f)
24 trajectories. Each point corresponds to one trajectory. Lines correspond to
4
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 frontiers between non-convective (NC) and convective (C) trajectories: see SI for
2 criteria and validation.
3 g,h,i) α MSD, anisotropy, L and S second moments, L and S skewness, and L and S
4 kurtosis distributions for 9v and 10d (g), 9v-Ctrl and 9v-bcat (h), and 9v Sh Ctrl
5 and 9v Sh Dynlt3 (i) populations of trajectories, compared to the distribution for
6 simulated Brownian (purely diffusive – black line).
7 j,k,l) Criteria to establish the frontiers for non-convective (NC) and convective (C)
8 movement for α MSD, anisotropy, and L and S second moments distributions. On
9 the top and the bottom the lower and upper subdivisions are given, respectively.
10
11 Supplementary Figure 6. FACS analysis of melanosome transfer.
12 a) FACS analysis of Hmb45 and plakoglobin positive cell populations in WT and
13 bcat* melanocytes.
14 b) Quantitation of melanosome transfer assayed by FACS. WT (9v), bcat* (10d), WT
15 + sh Ctrl or WT + sh Dynlt3 melanocytes were co-cultured with Balb/c MK mouse
16 keratinocytes for 10 days, after which the co-cultures were fixed and processed
17 for FACS analyses using Hmb45 and Plakoglobin antibodies. The percentage of
18 Plakoglobin and Hmb45 double positive cells within each respective co-culture is
19 presented. Quantitation was done from a minimum of five independent co-culture
20 experiments.
21
5
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 2 3 4 5 Supplementary Table 1. Mouse models associated with mutations in 67 6 genes involved in trafficking of melanosomes 7 and other lysosome related organelles (LRO). 8 9 10 11 12 Gene Gene Product Human Mouse Model Stage Disease TYR TYR OCA1 Albino Maturation OCA2 OCA2/P OCA2 Pink eye dilution Maturation TYRP1 TYRP-1 OCA3 Brown Maturation SLC45A2 SLC45A2/MATP OCA4 Underwhite Maturation DCT DCT/TRP-2 Slaty Maturation PMEL PMEL/Pmel17/Silver/ Silver Maturation gp100 GPR143 GPR143/OA1 OA1 Oa1 Biogenesis MLANA MART1/melan-a Melan-a Maturation AP3B1 AP-3β3a subunit HPS2 Pearl Transport AP3D1 AP3 δ subunit Mocha Transport AP3M1 AP-3 µ3a subunit no2 Transport AP3S1 AP-3 σ3a subunit no2 Transport BLOC1S5 Muted Muted Transport BLOC1S4 Cappuccino HPS1 Cappuccino Transport DTNBP1 Dysbindin HPS7 Sandy Maturation BLOC1S3 BLOS3 HPS8 Reduced Biogenesis pigmentation PLDN Pallidin HPS9 Pallid Maturation BLOC1S1 BLOS1 No reported coat Transport color BLOC1S2 BLOS2 no2 Transport SNAPIN Snapin Perinatal lethality1 Transport HPS1 HPS1 HPS1 Pale ear Biogenesis HPS3 HPS3 HPS3 Cocoa Biogenesis HPS4 HPS4 HPS4 Light ear Biogenesis HPS5 HPS5 HPS5 Ruby-eye 2 Biogenesis HPS6 HPS6 HPS6 Ruby-eye Biogenesis VPS11 VPS11 no2 Transport VPS16 VPS16 no2 Transport VPS18 VPS18 no reported coat Transport color3 VPS33A VPS33A Buff Maturation VPS39 VPS39/Vam6 no2 Transport VPS41 VPS41 Embryonic lethal3 Transport VPS33B VPS33B ARCS1 no2 Maturation C14ORF13 VIPAR/VPS16B ARCS2 no2 Transport 3 RABGGTA Subunit of Rab Gunmetal Biogenesis geranylgeranyl transferase II LYST LYST CHS Beige Transport MYO5A Myosin VA GS1 Dilute Transport RAB27A RAB27A GS2 Ashen Transport
6
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. MLPH Melanophilin GS3 Leaden Transport STX17 Syntaxin 17 no2 Elimitation TRAPPC6 TRAPPC6A Mhyp Transport A VAC14 VAC14/ARPIKFYVE Inglis (infantile Transport gliosis) FIG4 Fig/SAC3 CMT4J Pale tremor Maturation AP1S1 AP-1 σ1 subunit no2 Transport AP1S2 AP-1 σ2 subunit no2 Transport AP1S3 AP-1 σ3 subunit no2 Transport AP1M2 AP-1 µ2 subunit no2 Transport ATG7 Autophagy related 7 Perinatal lethality3 Elimination ATG13 Autophagy related 13 no1 Elimination BACE2 Bace2/ASP1 No phenotype Biogenesis CD63 Cd63 No coat color Biogenesis phenotype DCTN1 Dynactin 1 Embryonic lethal3 Transport F2RL1 F2RL1 No coat color Transfer phenotype GPNMB GPNMB Eye color Transfer phenotype KIF13A KIF13A No coat color Maturation/Transport phenotype KIF3A KIF3A Embryonic lethal3 Transport KIF3B KIF3B Embryonic lethal3 Transport KIF5B KIF5B Embryonic lethal3 Transport MREG Melanoregulin Dilute suppressor Transfer RAB32 RAB32 no2 Biogenesis RAB11B RAB11B no2 Transfer RAB38 RAB38 chocolate Biogenesis RILP RILP no2 Transport SLC24A5 OCA6 hypopigmentation Maturation TSG101 TSG101/VPS23 Embryonic lethal3 Maturation MYO6 Myosin VI no2 Biogenesis DYNLT3 DYNLT3 no2 Transport RAB3D RAB3D No coat color Elimination phenotype 1 2 3 1: no conditional mutant mice available 4 2: absence of mouse model 5 3: conditional mutant mice available. Inactivation in the melanocyte lineage was not 6 performed yet. 7
7
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. a WT-GFP WT-βcatGFP brightfield
inverse brightfield
GFP
9v 10d
b WT-GFP ) WT-βcatGFP (a .u.) 150 (a .u. 150 ty ty ensi ty en si 100 100 in t in t el el Pix Pix 50 50 0 50 100 0 50 100 Distance (a.u.) Distance (a.u.) β c WT-GFP WT- catGFP
Tyrp1 DAPI
Supplementary Figure 1 Aktary et al bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
a WT b bcat*
c 800 ****
600
400
200 melanosome length (nm) 0 WT bcat*
Supplementary Figure 2 Aktary et al bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
a Dynlt3 mRNA level 23
22 val ue t 21 C
20 9v 13d 10d 14d
WT bcat*
b Dynlt1 mRNA level 32
31 val ue
t 30 C
29 9v 13d 10d 14d
WT bcat*
Supplementary Figure 3 Aktary et al bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
a Average Distance
**** **** **** 0.15
0.10
0.05 Distance ( μ m)
0.00 -- GFP- GFP+ βcat+ βcat- shCtrl shDynlt3
10d 9v
b Average Velocity
0.25 **** **** ****
0.20
0.15
0.10 Velocity ( μ m/sec) Velocity 0.05
0.00 -- GFP- GFP+ βcat+ βcat- shCtrl shDynlt3
bcat* WT
Supplementary Figure 4 Aktary et al. 4 1.0 10 a b WT c bcat*
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.4265412 3 ; this version posted January 13, 2021. The copyright holder for this preprint (NC)(which was not certified by peer review) is the author/funder.10 All rights reserved. No reuse allowed without permission. 0.5 cdf WT bcat* 2 10
(C) 2S
μ -abs ( m ) 1 10 0.0
4 1.0 10 d e L WT Ctrl C f WT bcat
2 3 (NC) 10 WT WT S 0.5 cdf 2 Ctrl bcat 10
(C) 2S
μ -abs ( m ) 1 0.0 10 NC 0 1 2 3 0 1 2 3 0.4 0.6 0.8 1.0 1.2 1.4 10 10 10 10 10 10 10 10 α MSD μ-abs (μm 2 ) μ-abs (μm 2 )
g WT bcat* h WT Ctrl WT bcat i WT Sh Ctrl WT Sh Dynlt3 MSD exponent distribution Anisotropy distribution MSD exponent distribution Anisotropy distribution MSD exponent distribution Anisotropy distribution 1.0 1.0 1.0
0.5 0.5 0.5
0.0 0.0 0.0 -3 -2 -1 0 -3 -2 -1 0 -3 -2 -1 0 0.6 1.0 1.4 10 10 10 10 0.6 1.0 1.4 10 10 10 10 0.6 1.0 1.4 10 10 10 10 L 2nd moment distribution S 2nd moment distribution L 2nd moment distribution S 2nd moment distribution L 2nd moment distribution S 2nd moment distribution 1.0 1.0 1.0
0.5 0.5 0.5
0.0 0.0 0.0 0 0 0 0 0 0 10 10 10 10 10 10 L skewness distribution S skewness distribution L skewness distribution S skewness distribution L skewness distribution S skewness distribution 1.0 1.0 1.01.0
0.5 0.5 0.5
0.0 0.0 0.0 -1-2 210 -1 0 21 -1-2 210 -1 0 21 -1-2 210 -1 0 21 L kurtosis distribution S kurtosis distribution L kurtosis distribution S kurtosis distribution L kurtosis distribution S kurtosis distribution 1.0 1.0 1.0
0.5 0.5 0.5
0.0 0.0 0.0 2 34 5 6 2 4 6 8 2 34 5 6 2 4 6 8 2 34 5 6 2 4 6 8
j WT bcat* k WT Ctrl WT bcat l WT Sh Ctrl WT Sh Dynlt3 lower subdivsion 56NC / 19C lower subdivsion 14NC / 61C lower subdivsion 60NC / 15C lower subdivsion 25NC/ 50C lower subdivsion 36NC / 39C lower subdivsion 14NC / 61C
MSD exponent distribution Anisotropy distribution MSD exponent distribution Anisotropy distribution MSD exponent distribution Anisotropy distribution MSD exponent distribution Anisotropy distribution MSD exponent distribution Anisotropy distribution MSD exponent distribution Anisotropy distribution 1.0 1.0 1.0 1.0 1.0 1.0
0.5 0.5 0.5 0.5 0.5 0.5
0.0 0.0 0.0 0.0 0.0 0.0 -4 -2 0 -4 -2 0 -4 -2 0 -4 -2 0 -4 -2 0 -4 -2 0 0.6 1.0 1.4 10 10 10 0.6 1.0 1.4 10 10 10 0.6 1.0 1.4 10 10 10 0.6 1.0 1.4 10 10 10 0.6 1.0 1.4 10 10 10 0.6 1.0 1.4 10 10 10 L 2nd moment distribution S 2nd moment distribution L 2nd moment distribution S 2nd moment distribution L 2nd moment distribution S 2nd moment distribution L 2nd moment distribution S 2nd moment distribution L 2nd moment distribution S 2nd moment distribution L 2nd moment distribution S 2nd moment distribution 1.0 1.0 1.0 1.0 1.0 1.0
0.5 0.5 0.5 0.5 0.5 0.5
0.0 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 10 10 10 10 10 10 10 10 10 10 10 10
upper subdivsion 62 NC / 13C upper subdivsion 18NC/ 57C upper subdivsion 64NC/ 11C upper subdivsion 27NC/ 48C upper subdivsion 43NC / 32C upper subdivsion 22NC / 53C
MSD exponent distribution Anisotropy distribution MSD exponent distribution Anisotropy distribution MSD exponent distribution Anisotropy distribution MSD exponent distribution Anisotropy distribution MSD exponent distribution Anisotropy distribution MSD exponent distribution Anisotropy distribution 1.0 1.0 1.0 1.0 1.0 1.0
0.5 0.5 0.5 0.5 0.5 0.5
0.0 0.0 0.0 0.0 0.0 0.0 -4 -2 0 -4 -2 0 -4 -2 0 -4 -2 0 -4 -2 0 -4 -2 0 0.6 1.0 1.4 10 10 10 0.6 1.0 1.4 10 10 10 0.6 1.0 1.4 10 10 10 0.6 1.0 1.4 10 10 10 0.6 1.0 1.4 10 10 10 0.6 1.0 1.4 10 10 10 L 2nd moment distribution S 2nd moment distribution L 2nd moment distribution S 2nd moment distribution L 2nd moment distribution S 2nd moment distribution L 2nd moment distribution S 2nd moment distribution L 2nd moment distribution S 2nd moment distribution L 2nd moment distribution S 2nd moment distribution 1.0 1.0 1.0 1.0 1.0 1.0
0.5 0.5 0.5 0.5 0.5 0.5
0.0 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 10 10 10 10 10 10 10 10 10 10 10 10
Supplementary Figure 5 Aktary et al. a WT bcat* bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426541; this version posted January 13, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Plakoglobin
Pmel Pmel
10 10 b * * s 8 8
6 6 mel + c el l mel + c el ls
4 4 and P and P g g g g P
P 2 2 % % 0 0 WT bcat* WT + sh Ctrl Dynlt3 c WT melanocyte population Rabbit IgG Mouse IgG
Pmel Plakoglobin
Supplementary Fig. 6 Aktary et al.