The nucleoporin ALADIN, which is mutated in patients with triple A syndrome, is necessary for proper spindle formation. Without ALADIN, active Aurora A moves away from centrosomes. The relocalization of active Aurora A leads to a redistribution of specific spindle assembly factors that make spindles less stable and slows their formation.
Abstract
The formation of the mitotic spindle is a complex process that requires massive cellular reorganization. Regulation by mitotic kinases controls this entire process. One of these mitotic controllers is Aurora A kinase, which is itself highly regulated. In this study, we show that the nuclear pore protein ALADIN is a novel spatial regulator of Aurora A. Without ALADIN, Aurora A spreads from centrosomes onto spindle microtubules, which affects the distribution of a subset of microtubule regulators and slows spindle assembly and chromosome alignment. ALADIN interacts with inactive Aurora A and is recruited to the spindle pole after Aurora A inhibition. Of interest, mutations in ALADIN cause triple A syndrome. We find that some of the mitotic phenotypes that we observe after ALADIN depletion also occur in cells from triple A syndrome patients, which raises the possibility that mitotic errors may underlie part of the etiology of this syndrome.
INTRODUCTION
In higher eukaryotes, the transition from interphase to mitosis requires a rapid and complete reorganization of the microtubule cytoskeleton to form the mitotic spindle. The spindle is assembled by the concerted effort of centrosomes, microtubule nucleators, motor proteins, and cross-linkers and orchestrates the alignment of chromosomes from prophase through metaphase and then their segregation to daughter cells at anaphase. To regulate such a dramatic change in cellular activity, a suite of mitotic kinases regulates hundreds of different spindle substrates (Olsen et al., 2010) to modify their activities and localization. One of the most important of these regulators is the serine/threonine kinase Aurora A.
Aurora A resides at the centrosome and spindle pole and is essential for centrosome maturation, mitotic entry, spindle assembly, and anaphase microtubule function (Sardon et al., 2010; Lioutas and Vernos, 2014). Aurora A catalytic activity depends on autophosphorylation on threonine 288 and its association with Tpx2 (Littlepage et al., 2002; Bayliss et al., 2003; Eyers and Maller, 2004; Dodson and Bayliss, 2012; Dodson et al., 2013; Zorba et al., 2014). Key cofactors such as Ajuba, Bora, PAK, protein phosphatase inhibitor-2, and nucleophosmin also contribute to regulating Aurora A’s activity and/or localization, and protein phosphatase 6 serves to inactivate the enzyme (Hirota et al., 2003; Satinover et al., 2004; Zhao et al., 2005; Hutterer et al., 2006; Zeng et al., 2010; Reboutier et al., 2012). Inhibition of Aurora A activity results in catastrophic errors in spindle assembly and chromosome segregation (Asteriti et al., 2014).
NuMA is one critical Aurora A substrate that is essential for building the mitotic spindle (Compton and Cleveland, 1993; Sardon et al., 2010; Toughiri et al., 2013). NuMA binds to microtubule minus ends and the minus end–directed motor protein complex dynein/dynactin and undergoes a dramatic relocalization during the cell cycle, moving from the interphase nucleus to spindle poles and the polar cell cortex in mitosis, where it is essential for focusing spindle poles and anchoring cortical microtubules (Merdes et al., 1996, 2000; Bowman et al., 2006). Aurora A is essential for regulating the localization of NuMA. When NuMA cannot be phosphorylated by Aurora A, it does not localize as well to the interphase nucleus and is enriched on the cell cortex (Toughiri et al., 2013). In addition to being an Aurora A–regulated spindle assembly factor, NuMA is an example of a kind of protein seen in higher eukaryotes, proteins with roles in the interphase nucleus that take on unrelated roles during mitosis.
When the membranes of the nuclear envelope are either partially or totally fenestrated to allow for microtubules to capture duplicated and linked chromatids, many factors that are sequestered in the nucleus during interphase are released. In addition, the nuclear lamina and nuclear pore complexes are largely disassembled during mitosis, which has freed these proteins and nuclear transport factors to evolve secondary roles during mitosis to ensure the accurate transmission of genetic material to daughter cells (Chatel and Fahrenkrog, 2011).
The first evidence that nuclear pore proteins (Nups) could have roles in mitosis came from the observation that some of these proteins were associating with kinetochores during mitosis (Belgareh et al., 2001). Subsequent studies showed that several Nups and lamins are required for proper kinetochore and spindle function, spindle assembly checkpoint signaling, and nuclear envelope breakdown and reassembly (Arnaoutov and Dasso, 2003; Babu et al., 2003; Harel et al., 2003; Joseph et al., 2004; Loiodice et al., 2004; Blower et al., 2005; Jeganathan et al., 2005; Orjalo et al., 2006; Prunuske et al., 2006; Tsai et al., 2006; Lee et al., 2008; Rasala et al., 2008; Klein et al., 2009; Lince-Faria et al., 2009; Platani et al., 2009; Goodman et al., 2010; Mishra et al., 2010; Xu and Powers, 2010; Cross and Powers, 2011; Itoh et al., 2013). In addition, the Ran GTPase, which is a master regulator of nuclear transport, plays a crucial role in forming the mitotic spindle by regulating the association of transport proteins with spindle assembly factors (reviewed in Silverman-Gavrila and Wilde, 2006; Ciciarello et al., 2007; Kalab and Heald, 2008).
In addition to roles in transport and mitosis, Nups play important roles in genome architecture, cancer, transcription, and inherited diseases. For example, the nucleoporin ALADIN (the product of the AAAS gene) is mutated in patients who suffer from triple A (achalasia-Addisonianism-alacrima) or Allgrove syndrome, a disease that typically affects tear production, esophageal motility, and adrenal glucocorticoid and mineralocorticoid secretion in children (Handschug et al., 2001; Cronshaw et al., 2002). Many adult triple A patients suffer from progressive neurological features, including sensorimotor neurodegeneration, dysautonomia, optical atrophy, and ataxia. There is no consensus as to how mutations in ALADIN produce such variable phenotypes. Most ALADIN mutants fail to localize to the nuclear pore complex, and deficits in the nuclear import of DNA repair proteins and/or ferritin and the regulation of redox homeostasis have been proposed to play a role in the progressive degeneration seen in affected tissues (Cronshaw and Matunis, 2003; Hirano et al., 2006; Krumbholz et al., 2006; Storr et al., 2009; Kind et al., 2010; Prasad et al., 2013).
Here we report that ALADIN is required for timely chromosome alignment and spindle formation in human and Drosophila cells. We further show that this protein interacts with the inactive form of Aurora A and is required for the proper spatial regulation of this protein. Without ALADIN, we observe that a subset of Aurora A substrates within the spindle are mislocalized, producing spindles that are far less robust than those formed in control cells. We find similar defects in patient fibroblasts, which suggests that mitotic defects and/or misregulation of Aurora A may underlie some of the symptoms of triple A syndrome.
RESULTS
Previous studies showed that there is a strong link between the nuclear pore complex and mitotic spindle assembly. Our goal was to perform a comprehensive screen of all nucleoporins in Drosophila S2 cells to determine whether the known factors also play roles in mitosis in Drosophila and whether the roles of any novel factors have not yet been discovered. A previous whole-genome screen of all Drosophila proteins was carried out, but it failed to find any functions for Nups in mitosis (Goshima et al., 2007). Therefore we decided to take a more sensitive approach and looked at live cells, in which subtle defects in timing could be more easily detected, and we used a 5-d RNA interference (RNAi) treatment to more completely deplete the stable proteins of the nuclear pore complex (Boisvert et al., 2012). In our screen, we treated cells stably expressing green fluorescent protein (GFP)–histone H2B and mCherry–α-tubulin with double-stranded RNAs (dsRNAs) and then imaged the cells after 5 d. For every RNAi-treated sample, we imaged 12 individual fields of cells once per minute over the course of 2 h. In the resulting images, we could follow chromosome alignment and segregation, as well as mitotic spindle morphology, from prophase to telophase for several cells per dsRNA condition. Any depletion that appeared to perturb the formation of spindles or segregation of genomic material at anaphase was flagged for follow-up experiments. We additionally performed fixed-cell analyses of all depletions to visualize mitotic spindle morphology for a greater number of cells per treatment.
ALADIN depletion perturbs spindle formation
One of the strongest phenotypes we observed was produced by depleting the nucleoporin ALADIN (CG16892). In cells depleted of ALADIN, we noticed a striking delay in formation of the metaphase spindle (Figure 1, A and B). In ALADIN-depleted cells, the capture of kinetochores by microtubules was significantly delayed, but anaphase would still initiate after all chromosomes reached the metaphase plate (Figure 1A shows frames from these experiments). When we measured the length of metaphase spindles in our fixed samples, we noticed that they were significantly shorter than spindles in cells treated with control dsRNAs and were as short as spindles formed in the absence of the minus end–capping protein Patronin, which is known to influence spindle length (Goodwin and Vale, 2010). Codepleting Patronin and ALADIN did create somewhat shorter spindles, but this change was not significantly different from either single depletion (Figure 1C). Other than their shorter length, the morphology of the ALADIN-depleted spindles appeared to be largely normal (Figure 1D). A retrospective analysis of previous data from the whole-genome screen showed that ALADIN depletion produced a mild short-spindle phenotype, but the decrease in spindle length was not sufficiently great to be scored by the automated analysis program (Goshima et al., 2007). We confirmed that two separate nonoverlapping dsRNAs efficiently depleted ALADIN (as confirmed by quantitative reverse transcription [RT]-PCR) and produced short spindle phenotypes (Supplemental Figure S1).
ALADIN localizes around the mitotic spindle and at spindle poles in Drosophila and human cells
ALADIN has never been localized in Drosophila cells. To study its localization, we stably expressed GFP-ALADIN and mCherry–α-tubulin in S2 cells; as expected, the protein is clearly localized to the nuclear envelope in interphase (Figure 2A, top). ALADIN does not colocalize on kinetochores or discrete k-fiber bundles during mitosis (Figure 2A, bottom); instead, ALADIN localizes diffusely throughout the spindle, is excluded from chromatin, and is enriched on the remnants of the nuclear envelope that surround the spindle. We also noticed that GFP-ALADIN is present in a ring that surrounds the centrosome in prometaphase and metaphase cells.
We wanted to know whether ALADIN had the same localizations in human cells. In interphase HeLa cells, GFP-ALADIN localizes to the nuclear envelope (Figure 2B, top; Cronshaw et al., 2002), but its localization in mitosis has not been described. We therefore observed live HeLa cells stably expressing GFP-ALADIN that were transiently transfected with mCherry–α-tubulin. In metaphase cells, we observed a diffuse localization of GFP-ALADIN within the spindle with some accumulation around spindle poles, the highest concentration of which appeared to be between the centrosome and metaphase plate (Figure 2, B and C). Because ALADIN can interact with a transmembrane Nup that presumably remains with the mitotic endoplasmic reticulum (ER) remnant, we costained the GFP-ALADIN cells with an antibody that recognizes calnexin, an integral ER protein (Kind et al., 2009; Figure 2C). We found that the high concentration of ALADIN that is proximal to the spindle pole colocalizes with calnexin and is therefore likely an ER membrane–associated pool of the protein. We wanted to know whether the localization of ALADIN around spindle poles was microtubule dependent, and so we treated cells with nocodazole to depolymerize microtubules. We found that in the absence of microtubules, ALADIN did not appear to interact with centrosomes or chromatin.
ALADIN is required for proper spindle assembly in human cells
To determine whether ALADIN also has a role in spindle assembly in mammals, we treated HeLa cells with small interfering RNAs (siRNAs) that target human ALADIN (we used two nonoverlapping oligos that could deplete ∼90% of the endogenous protein; Figure 3A). To synchronize cells in mitosis, we blocked RNAi-treated cells at the G2/M boundary with a CDK1 inhibitor (RO-3306) and released them into media containing MG132. After 2 h, cells were fixed and then stained to visualize microtubules, kinetochores, and DNA. Images from cells treated with control and ALADIN-specific siRNAs are shown in Figure 3B. We noticed that in the ALADIN-depleted cells, chromosomes on the metaphase plate appeared more disorganized. We measured the angle distribution of kinetochore pairs relative to the metaphase plate, as well as the interkinetochore distance, in control and ALADIN-depleted cells. To do this, we rotated the images of the spindles so that the metaphase plate was horizontal and perpendicular to the centrosomes, allowing us to measure the distance (D) between the outer edges of kinetochore pairs and the angle (θ) of the line connecting the kinetochore pair with respect to the metaphase plate (Figure 3C). The ALADIN-depleted cells showed a significant 14% increase in interkinetochore stretch (p < 0.001) and a greater spread of kinetochore pair angles. In addition, depletion of ALADIN reduced spindle length by 5% (Figure 3D; p < 0.05). To quantify the disordered chromosome alignment, we measured the volume of the DAPI signal for each cell using a thresholding algorithm in Matlab that identified 4′,6-diamidino-2-phenylindole (DAPI)–positive pixels in each plane of a Z-stack of images (Otsu, 1979; Figure 3E) and observed a significant increase in chromatin area, confirming a disorganized metaphase plate. Consistent with the shorter spindle length, we also observed that the angle made by converging spindle microtubules (θ′ in the schema in Figure 3C) at the pole was greater (10% increase, p < 0.0001) in the ALADIN-depleted cells (Figure 3F).
To determine whether human ALADIN is also required for proper timing of spindle assembly, we treated cells overnight with monastrol to generate monopolar spindles, washed out the inhibitor, fixed cells at 30, 45, and 60 min after washout, and then stained cells to visualize microtubules and DNA. Images of these samples were acquired, and individual cells were scored for their mitotic state (either prophase-prometaphase, metaphase, or anaphase-telophase). At 30 min after monastrol washout, both control and ALADIN-depleted cells were predominantly found to be in prophase-prometaphase (Figure 4A). After 45 min, the control sample showed a reduction in prophase-prometaphase cells and an increase in anaphase-telophase cells; the ALADIN-depleted cells, however, did not show such a reduction in prophase-prometaphase cells until the 60-min time point, showing that ALADIN depletion also slows spindle assembly in human cells. We found that ALADIN-depleted cells arrested in mitosis with MG132 had more cells with Mad2-positive kinetochores (indicating unaligned kinetochores) and more Mad2-positive kinetochores per cell (Figure 4B), further confirming that chromosome alignment is delayed during mitosis.
We therefore examined the microtubules of the spindle to see whether they were affected by ALADIN depletion. Microtubules that attach to kinetochores become bundled into k-fibers, which are more stable than the populations of interpolar microtubules. To examine their stability in the absence of ALADIN, we placed control and ALADIN siRNA–treated cells on ice for 10 min before fixation. We then labeled these cells to visualize tubulin and chromosomes. ALADIN depletion led to a marked reduction of cold-stable k-fiber microtubules (Figure 4C). This reduction in k-fiber stability did not reflect an overall reduction in microtubule density; the average tubulin intensity in metaphase spindles was measured, but we found that in ALADIN-depleted cells, the tubulin intensity did not decrease (Figure 4D, 5% increase, n = 3 trials, >40 spindles per trial, p < 0.10).
To determine whether k-fibers are destabilized by an increase in the overall turnover (or flux) of microtubules within them, we depleted ALADIN from cells expressing photoactivatable GFP–α-tubulin (PA-GFP-tubulin) and then activated spots of PA-GFP-tubulin within the spindles of these cells. By measuring the decrease in fluorescence over time, we could determine how quickly microtubules are being polymerized and depolymerized. There are two populations of microtubules that can be visualized by this technique: a population that turns over rapidly (the interpolar microtubules) and a population that turns over with a longer half-life (k-fibers; Bakhoum et al., 2009; Samora and McAinsh, 2011). Example plots are shown in Figure 4E for a control and an ALADIN-depleted cell. By fitting a double-exponential decay to the reduction in fluorescence after photoactivation for >24 cells/condition, we were able to extract the half-time of microtubule turnover for the fast (Figure 4F) and slow populations (Figure 4G). We did notice a trend of slightly slower flux for interpolar microtubules and faster flux for k-fiber microtubules after ALADIN depletion, but neither change was statistically significant. We therefore can exclude faster rates of microtubule depolymerization as being a major factor leading to the destabilization of k-fibers after ALADIN depletion.
Our observations that kinetochore stretch was increased after ALADIN depletion and that ALADIN never appears on kinetochores suggested that the connections between microtubules and kinetochores were unlikely to be perturbed in ALADIN-depleted cells. Staining of these cells with antibodies that recognize kinetochore and centromere proteins (Hec1, Ska3, and Sgo1) or visualizing a fluorescently tagged protein (MCAK) confirmed that the kinetochore structure did not appear to be grossly affected by ALADIN depletion (Figure 5, A–D).
ALADIN is essential for localizing AURORA A and NuMA to spindle poles
Mitotic kinases regulate multiple aspects of spindle function, and so we sought to determine whether any of the major mitotic kinases were mislocalized in ALADIN-depleted cells. We found that Aurora B and Plk1 were localized properly after ALADIN depletion (Figure 5, E and F). However, when we localized Aurora A in cells lacking ALADIN, we found that Aurora A spread outward from centrosomes and onto spindle pole microtubules, producing a 24% increase in the area of Aurora A–positive pixels (Figure 6, A and B).
Aurora A is activated by phosphorylation of threonine 288 (Littlepage et al., 2002), and it is this form of the protein that regulates spindle assembly factors. When we examined the localization of the active form of Aurora A in control and ALADIN-depleted cells by quantitatively measuring the levels of phospho-T288 Aurora A, we found that ALADIN depletion reduces phospho-T288 Aurora A intensity at centrosomes by 38% (Figure 6C and Supplemental Figure S2A) while not reducing the overall levels of active Aurora A (Figure 6D). Given that Aurora A is an important factor for centrosome function, we sought to ensure that the depletion of ALADIN was not affecting centrosome assembly. We therefore measured the intensity of pericentrin within mitotic centrosomes and found no difference between control and ALADIN-depleted cells (Figure 6E).
Because Aurora A regulates many spindle assembly factors and its full inhibition produces phenotypes that are much more extreme than what we observe after ALADIN depletion (Wang et al., 2008; Asteriti et al., 2011), we assumed that ALADIN has a partial role in regulating Aurora A function. To confirm this, we measured spindle length in control and ALADIN-depleted cells with and without treatment with the Aurora A–specific inhibitor MLN8237 (Figure 6F). We found that MLN8237 inhibition of Aurora A produces a more severe reduction in spindle length (35% reduction) than ALADIN depletion alone, confirming that removing ALADIN only partially inhibits Aurora A function; the reduction in spindle length we observed after MLN8237 treatment was not further augmented by ALADIN depletion. We also examined whether ALADIN overexpression could affect Aurora A activity and found that cells with high levels of ALADIN have less Aurora A on centrosomes and a higher level of the kinase on spindles (Supplemental Figure S2, C and D).
Aurora A has been shown to regulate many other spindle assembly factors (Tsai et al., 2003, 2011; Bird and Hyman, 2008; Wong et al., 2008; Zhang et al., 2008; Jang et al., 2009; Joukov et al., 2010; Rome et al., 2010; Asteriti et al., 2011; Cheeseman et al., 2011; Lioutas and Vernos, 2014), and we sought to determine which of these may be affected by the change in Aurora A localization produced by depleting ALADIN. We found that the localization of the microtubule minus end–binding protein NuMA changed noticeably after ALADIN was depleted (Figure 6H). The protein appeared to be less spread around the spindle pole and was more constricted to an area just around the centrosome. When we quantified the area of the spindle covered by NuMA, we found that the area decreased by 23% (Figure 6G) and the average fluorescence intensity within the spindle also decreased by 15% (Figure 6I). We wanted to know whether ALADIN depletion was affecting the levels of Aurora A and NuMA protein, and so we made lysates from control and ALADIN-depleted cells and probed these lysates to detect the total levels of ALADIN (to confirm depletion), NuMA, and Aurora A. There was no reduction of Aurora A or NuMA when ALADIN protein levels were substantially reduced (Supplemental Figure S2B). We sought to determine whether the relocalization of NuMA seen in ALADIN-depleted cells was caused by reductions in Aurora A activity, and so we examined the localization of NuMA in control and ALADIN-depleted cells with or without treatment with MLN8237. The intensity of NuMA staining within the spindle was decreased similarly by ALADIN depletion, Aurora A inhibition, and a combination of both treatments (Figure 6I), suggesting that NuMA’s redistribution within the spindle may be due to the observed change in Aurora A activity after ALADIN depletion.
In addition to its localization on spindle poles, NuMA also interacts with the cell cortex, where it helps to position the mitotic spindle. We found that there was a 22% increase in the cortical localization of NuMA when ALADIN is depleted (Figure 6J). NuMA interacts with the minus end–directed motor protein dynein (Merdes et al., 1996), and we found that the depletion of ALADIN also reduced the concentration of the dynein cofactor dynactin within the spindle by 12.7%, as judged by the localization of GFP-p150 stably expressed from a BAC clone using the endogenous promoter (Poser et al., 2008; unpublished data).
ALADIN is an Aurora A–binding protein that regulates the localization of a specific subset of Aurora A targets
We examined the localization of several other Aurora A substrates and found that the depletion of ALADIN produced striking increases in the amount of HURP and the Augmin subunit HAUS6 within the spindle while producing a modest effect on Eg5/Kif11 localization. Kif2a, TACC3, and Tpx2 were unaffected by ALADIN depletion (Figure 7A and Supplemental Figure S3). The relocalization of HURP was particularly interesting. Unlike NuMA, which is reduced on the spindle, HURP spreads along the spindle after ALADIN depletion; this relocalization may be influenced by active Aurora A spreading from spindle poles onto the spindle (Figure 7B).
Aurora A is activated on spindle microtubules by Tpx2 and on centrosomes by CEP192 (Joukov, 2011; Hochegger et al., 2013; Chen et al., 2014). To determine whether defects in the centrosome assembly could account for the reduction of active Aurora A at the centrosome, we evaluated the localization of CEP192 and NEDD1 on centrosomes. We found that CEP192 levels were reduced by 12%, whereas NEDD1 levels did not change at all (Figure 7C). NEDD1 localization depends on Plk1 phosphorylation of Nek9, and Plk1 activation requires Aurora A (Sdelci et al., 2012; Joukov et al., 2014). This suggests that the original centrosomal activation of Plk1 is not perturbed in ALADIN-depleted cells and that the decrease of active Aurora A at the centrosome does not reflect an overall defect in centrosome assembly.
Observing that the reduction of ALADIN levels can influence the localization of active Aurora A and some of its substrates, we sought to determine whether this Nup is influenced by the kinase. ALADIN shows a mild enrichment around spindle poles in metaphase cells, but we found that treatment with MLN8237 increased the polar accumulation of ALADIN (Figure 7D) while also reducing the amount of Aurora A on spindle microtubules. Therefore Aurora A activity appears to regulate ALADIN’s localization. To determine whether ALADIN could interact with Aurora A, we immunoprecipitated ALADIN from cells arrested in either prophase/prometaphase (overnight treatment with STLC) or metaphase (overnight treatment with RO-3306 and then release into media with MG132 for 4 h) in the presence or absence of MLN8237. We could detect the coprecipitation of Aurora A in both mitotic states, but only when Aurora A was inhibited, suggesting that ALADIN preferentially interacts with the inactive form of this kinase (Figure 7E). In addition, we could coprecipitate ALADIN when we immunoprecipitated Aurora A–GFP that was stably expressed from a BAC clone using the endogenous promoter, which was enhanced when cells were treated with MLN8237 (Figure 7F).
Mitotic errors are common in triple A patient fibroblasts
Problems with cell cycle timing have been reported in fibroblasts from triple A patients. However, the mitotic spindle has never been examined in these cells. We therefore cultured fibroblasts from patients homozygously expressing the p.S263P and p.Q387X mutant forms of ALADIN. We observed that the mutant fibroblasts both showed disorganized metaphase plates and shorter metaphase spindles compared with control fibroblasts (Figure 8, A–C). The localization of active Aurora A on centrosomes was also measured in these cells. Because these cells are very slowly dividing, we had difficulty in getting many mitotic cells to analyze. The Q387X mutant cells showed a reduction in phospho-T288 Aurora on centrosomes (without any change in pericentrin localization; Figure 8). We also observed that the distribution and amount of HURP within the spindle was significantly altered in the Q387X mutant cells. HURP spread poleward and was more concentrated on spindle microtubules (Figure 8).
The localization of the mutant proteins did not seem so different from that of the wild type (Figure 8A). However, to determine whether these proteins behave similarly to the wild type, we treated cells with MLN8237. We found that the ALADIN S263P mutant protein concentrated around spindle poles when Aurora A was inhibited, similar to the wild-type protein, but the Q387X mutant did not (Supplemental Figure S4).
DISCUSSION
ALADIN has been studied in the context of the functioning of adrenal and neuronal cells in triple A syndrome, and many of the phenotypic features seen in triple A patients have been ascribed to this protein’s role in nucleocytoplasmic transport. We show for the first time that this protein also has functions in cell division, during which it is required to build spindles that assemble with wild-type timing, are of the proper length, and have stable k-fiber microtubule bundles.
The activation and localization of Aurora A have previously been shown to be controlled by many other accessory proteins (Bayliss et al., 2003; Eyers and Maller, 2003; Hirota et al., 2003; Zhao et al., 2005; Hutterer et al., 2006; Dodson and Bayliss, 2012; Reboutier et al., 2012; Silva and Cassimeris, 2013; Lioutas and Vernos, 2014). We demonstrated that ALADIN is a novel Aurora A cofactor that promotes the localization of the active form of this kinase at centrosomes. Aurora A dynamically associates with the centrosome, and we found that both reducing and increasing ALADIN protein levels led to a diminished amount of active centrosomal Aurora A (Conduit et al., 2014). Given these data and the fact that ALADIN preferentially interacts with inactive Aurora A, we hypothesize that ALADIN could act to locally anchor inactive Aurora A that is released from spindle poles and promote its reactivation by other cofactors. However, an overabundance of ALADIN could outcompete these factors and prevent the subsequent reactivation and recruitment of the active kinase to the centrosome. Our finding that a specific subset of Aurora A substrates (NuMA, HURP, and Augmin) is affected by the redistribution of active Aurora A from centrosomes onto spindles, whereas many others (Plk1, Kif2a, TACC3, and Tpx2) are not, demonstrates that there are multiple, separable pathways by which Aurora A can regulate its substrates and reinforces the idea that the spatial regulation of this kinase is essential for its proper function. A spindle matrix built of components including vesicles, lamins, and nucleoporins has been proposed to function as a nonmicrotubule scaffold that can concentrate and/or activate spindle assembly regulators (Zheng, 2010; Schweizer et al., 2014). Although we cannot say anything definitive about the existence or function of the spindle matrix, ALADIN’s localization and role in regulating Aurora A function are both consistent with the proposed nature of a matrix component.
Although the depletion of ALADIN perturbs the localization of NuMA, the phenotype we observed is quite different from a total loss of NuMA (Silk et al., 2009), suggesting that there is still NuMA function in the absence of ALADIN. Because the NuMA localization phenotype is similar in cells lacking ALADIN, when Aurora A activity is inhibited, or where the Aurora A phosphosite is mutated to alanine (Kettenbach et al., 2011), we hypothesize that ALADIN depletion leads to the hypophosphorylation of NuMA and reduces but does not eliminate its function in spindle focusing.
There is an intriguing interaction between NuMA and the nucleoporin Nup188 that is required for the proper localization of NuMA at the spindle poles (Itoh et al., 2013). We cannot rule out that Aurora A also regulates Nup188 and that the NuMA phenotype we observe is downstream of a misregulation of Nup188, but given our observations that Aurora A can interact with ALADIN and that overexpression and depletion of ALADIN both perturb the distribution of active Aurora A, we favor a model in which ALADIN regulates NuMA through its effects on Aurora A.
In addition to affecting NuMA localization, ALADIN, through its regulation of Aurora A’s distribution, also appears to regulate the localization of HURP and the Augmin complex. HURP localization is controlled by both a Ran-GTP–dependent release from importin β and Aurora A phosphorylation (Sillje et al., 2006; Wong et al., 2008). We did not see any defects in Tpx2 localization in ALADIN-depleted cells, which indicates that the Ran gradient was not severely perturbed in cells lacking ALADIN. Thus we believe that the poleward spread of HURP is due to the spread of Aurora A activity onto spindle microtubules.
The regulation of Augmin by Aurora A is not as clearly defined, since this kinase promotes the localization of NEDD1 within the spindle but inhibits Hice1 microtubule binding (Tsai et al., 2011; Pinyol et al., 2013). However, given that we see a marked increase in HAUS6 but no real change in microtubule density within ALADIN-depleted spindles, we believe that the perturbation of Aurora A activity caused by ALADIN depletion induces Augmin recruitment but does not necessarily increase its activity. Taken together, our data suggest that ALADIN depletion spatially alters Aurora A activity to selectively change the distribution of a specific suite of spindle assembly and stabilizing factors within the spindle. We hypothesize that when ALADIN is removed, the resulting change in the stoichiometry of microtubule-binding factors produces the increased kinetochore stretch, destabilized k-fibers, and delayed chromosome alignment that we observed.
It is not immediately obvious how both the overrecruitment of HURP to the spindle and increased kinetochore stretch are seen in spindles that are less stable. HURP association with the spindle normally stabilizes the k-fiber microtubules (Sillje et al., 2006). In addition, increased kinetochore tension usually boosts microtubule binding (King and Nicklas, 2000). Meunier and Vernos (2011) did report that depletion of MCRS1, which caps microtubule minus ends, produced a very similar phenotype of shorter, destabilized spindles with hyperstretched kinetochores. However, they did not report on HURP localization in MCRS1-depleted cells, and they showed that, unlike what we observe for ALADIN, MCRS1 regulates microtubule flux during metaphase (Meunier and Vernos, 2011). Considering these results with our own, we hypothesize that there are multiple ways in which tension within the spindle may be dysregulated and that when the normal distribution of assembly factors is disturbed, proteins that promote spindle stability can have the opposite effect.
During normal cell cycles, none of the defects we see after ALADIN depletion are enough to block cell divisions. In addition, because the ALADIN-knockout mouse and patients expressing mutant forms of the protein, including p.G14fs and p.W84X, which may both be functionally null, are viable, we can assume that most cell types can divide without ALADIN (Huebner et al., 2006; Krumbholz et al., 2006). We observed that once ALADIN-depleted cells complete chromosome alignment, they progress to anaphase without lagging chromosomes or other hallmarks of mitotic errors. In most cells, ALADIN’s role in regulating Aurora A function makes spindle assembly more robust. However, it is possible that this role becomes more critical in different tissue types.
It has been proposed that alterations in reactive oxygen levels or defects in nucleotide excision repair produce the symptoms seen in patients who suffer from triple A syndrome (Kiriyama et al., 2008; Storr et al., 2009; Kind et al., 2010; Prasad et al., 2013). We show for the first time that the expression of two mutant forms of ALADIN in patient cell lines produces specific defects in mitotic spindle formation. It was of interest to observe that although the expression of both mutant ALADIN isoforms perturbs spindle formation, only one of the isoforms is defective in its localization after Aurora A inhibition. This suggests that the S263P mutant protein retains some mitotic functions and may explain why the expression of this mutant form of ALADIN rescues female sterility and spindle assembly defects seen in oocytes from the ALADIN-knockout mouse (Huebner et al., 2006; Carvalhal, unpublished data). Further work is needed to determine to what extent mitotic spindle assembly errors contribute to the etiology of triple A syndrome either alone or in combination with deficits in DNA repair or reactive oxygen/superoxide homeostasis that have already been documented in patient cells.
MATERIALS AND METHODS
Cell culture, siRNA, plasmid transfections, and drug treatments
Drosophila cells stably expressing mCherry–α-tubulin and GFP-H2B were grown in Express Five medium supplemented with 1× antibiotic-antimycotic and glutamine (Life Technologies). ALADIN was depleted by the method of Rogers and Rogers (2008) using two nonoverlapping dsRNAs generated from PCR templates created with the primer sets TGAATAGTCTGCAATTATGGCG and GAACTGAGCAATACGCTCTGC or GAAGTGGTCGCCGGATAAT and AGCAGACTCTGTTGCACGAA (all primers also contained 5′ T7 binding sites) and transcribed using a Megascript T7 transcription kit (Life Technologies). To quantify the mRNA depletion, total RNA was isolated with the RNeasy kit (Qiagen), and cDNAs were created with the Superscript III First-Strand Synthesis System for RT-PCR (Life Technologies) using the Oligo(dT)20 primer. Two-step quantitative PCRs of diluted cDNA samples were performed using 2× Brilliant SYBR LowRox Master Mix (Agilent) on a RotorGene6000 instrument. ALADIN mRNA depletion was confirmed using Rpl32 as a control template, which did not change after ALADIN dsRNA treatment (primers CGAGATCGTGATAGGTTGTCGG and GAGGTTATTGGCAGATTGTTTGG were used to amplify the ALADIN message, and ATGCTAAGCTGTCGCACAAATGGC and GTGCGCTTGTTCGATCCGTAACC were used for Rpl32). The sequence of primers used to deplete Patronin was previously published (Goodwin and Vale, 2010).
The fibroblast cell lines (p.S263P, p.Q387X, and wild-type ALADIN) were previously described (Kind et al., 2010). The HeLa cell line stably expressing GFP-ALADIN was previously described (Kind et al., 2009), and the HeLa cell line stably expressing cell PA-GFP–α-tubulin and RFP-H2B was a gift from A. McAinsh (University of Warwick, Coventry, United Kingdom; Samora and McAinsh, 2011). GFP-p150 and Aurora A-LAP were expressed from a BAC clone using the endogenous promoter, a gift from A. Hyman (Max Planck Institute for Molecular Cell Biology and Genetics, Dresden, Germany; Poser et al., 2008). All cell lines were grown in Opti-MEM plus GlutaMAX supplemented with 10% fetal bovine serum, 100 U/ml penicillin, and 100 μg/ml streptomycin at 37ºC with 5% CO2 in a humidified incubator, with the exception of fibroblasts, for which DMEM plus GlutaMAX was supplemented with 0.25 μg/ml amphotericin B (all media and supplements were from Life Technologies).
To deplete ALADIN, 2.5 × 105 cells were reverse transfected with 70 nM duplex oligonucleotides 5′-UGAGUUUGCAAUUUCAUUUAGCACC-3′ and 5′-AUCUCUUCCACACUUGCUCCCGGUG-3′ (stealth RNAi; Life Technologies and Sigma-Aldrich) using Lipofectamine RNAiMAX (Life Technologies) for 48 h, with a second RNAi forward transfection after 24 h. A low-GC duplex siRNA (Life Technologies) was used as negative control. During transfection, cells were maintained in antibiotic-free complete culture medium.
FuGENE HD transfection reagent (Promega) was used for transfections of GFP-ALADIN (Krumbholz et al., 2006) or an empty GFP vector (pEGFP-C1; Clontech) according to the manufacturer’s instructions. Typically, cells were transfected with a ratio of 3:1 transfection reagent:DNA for 48–72 h before assaying.
To increase the number of mitotic cells for immunostaining, cells were incubated with either 10 μM MG132 (Calbiochem) for 4 h or 2.5 ng/ml RO-3306 overnight to arrest them at the G2/M border before releasing them into MG132 for 2 h before fixation. For live-imaging experiments or Western blot analysis, cells were treated with 2.5 ng/ml RO-3306 (Calbiochem), 5 μM S-trityl-l-cysteine (STLC; Enzo Life Sciences), or monastrol for 16–20 h. If metaphase arrest was required, cells were treated with MG132 for 2 h after the removal of RO-3306. For Aurora A inhibition, cells were treated with 1.5 ng/ml MLN8237 for 40 min (Selleckchem).
Live-cell imaging
S2 cells were imaged on an ASI MIM-RAMM microscope (Applied Scientific Instrumentation) outfitted with a Lumencor Sola LED light engine (Lumencor), ASI FW-1000 excitation and emission filter wheels with appropriate 25-mm–band-pass filters (Chroma Technology), a 40×/0.95 numerical aperture (NA) objective (Olympus), and a Photometrics HQ2 camera (Photometrics). Images were acquired with μManager software (www.micromanager.org).
All live-cell imaging of HeLa cells was performed on a DeltaVision microscope (Applied Precision) outfitted with an environmental chamber to maintain 37ºC, and cells were imaged in Leibovitz’s L-15 medium supplemented with 10% fetal bovine serum, 100 U/ml penicillin, and 100 μg/ml streptomycin.
For analysis of tubulin poleward flux, metaphase HeLa cells stably expressing PA-GFP–α-tubulin and RFP-H2B and arrested at metaphase with MG132 were identified by the RFP-H2B fluorescence. Microtubules adjacent to the metaphase plate on one side of the spindle structure were photoactivated with a 50-ms pulse from a 406-nm laser (60% power). Images were acquired using an Olympus 100×/1.35 NA lens with 200-ms exposures using the adaptive intervals program in SoftWoRx (Applied Precision). Fluorescence intensities were measured with Fiji and normalized to the background. Microtubule turnover half-lives for each cell were calculated by fitting a double-exponential curve as described in Samora and McAinsh (2011).
Immunofluorescence microscopy and antibodies used
Cells grown on 22 × 22 mm #1.5 coverslips were fixed with warm 4% formaldehyde (Electron Microscopy Sciences) in 1× PHEM for 5 min, followed by 5-min permeabilization with PHEM plus 0.5% Triton X-100 (Roche) and then fixed again. For cold assay analysis, cells were fixed in prechilled 90% methanol, 1.6% formaldehyde, and 5 mM sodium bicarbonate, pH 9, for 10 min at −20ºC. After fixation and permeabilization, coverslips were incubated for 5 min in PHEM plus 0.1% Triton X-100 (PHEM-Wash), Tris-buffered saline (TBS) plus 0.1% Triton X-100, and again in PHEM-Wash. Blocking and antibody dilution buffer was TBS, 0.1% Triton X-100, 2% bovine serum albumin, and 0.1% sodium azide. Coverslips were blocked for 30 min at room temperature (25ºC), primary antibody incubations were done overnight at 4ºC, and secondary antibody incubations were done at room temperature for 2 h. Excess antibodies were removed after primary and secondary antibody incubations by three washes with PHEM-Wash for 5 min. Coverslips were mounted in Dako Fluorescence Mounting Medium (Dako) and sealed using CoverGrip Coversplip Sealant (Biotium). To assay for k-fiber microtubule stability, cells were placed for 10 min on a solid aluminum block resting on ice.
Fixed cells were imaged on a Delta-Vision Core microscope (Applied Precision) with a 100× oil-immersion 1.35 NA objective lens (Olympus), a CoolSNAP HQ camera (Photometrics), and standard filter sets. Three-dimensional images were acquired with SoftWoRx software (version 5.5.0; Applied Precision), and Z-series optical sections were recorded with slices taken every 0.2 μm.
Quantitative analysis of fluorescence microscopy data was performed using OMERO software (Open Microscopy Environment; Allan et al., 2012) and OMERO.mtools, a MATLAB (MathWorks) plug-in (www.openmicroscopy.org/site/products/partner/omero.mtools). For the analysis, DeltaVision files were imported into OMERO, and masks of regions of interest were created by defining the Otsu threshold of the α-tubulin signal (spindle mask) or the pericentrin signal (centrosome mask). Measurements of average intensity/pixel across Z-series for each experiment were calculated in each channel within the mask regions defined. Relative mean intensity values or pixel numbers were obtained after correcting for the background fluorescence. For spindle-length measurements, pole–pole distance was measured using OMERO. To measure pole focusing, angles were measured manually for each pole stained for tubulin using Fiji. To measure kinetochore–kinetochore distances, single image planes were selected for which kinetochore pairs were clearly resolved, and the distance between pairs was measured with OMERO. To quantify chromosome alignment, the volume of the metaphase plate of each cell, the pixel area across Z-series, was calculated using the Otsu threshold of the 4′,6-diamidino-2-phenylindole (DAPI) signal using OMERO.mtools.
The following antibodies were used for immunofluorescence (IF) and Western blot studies: rat anti–α-tubulin at 1:200 for IF (Pierce), mouse anti–α-tubulin at 1:1000 for IF (Sigma-Aldrich), human anti–ANA centromere CREST at 1:1000 for IF (Fitzgerald), rabbit anti-calnexin 1:75 for IF (Cell Signaling), rabbit anti-Kif2a at 1:1000 for IF (a gift from D. A. Compton, School of Medicine at Dartmouth, Hanover, NH), rabbit anti–Ska-3 at 1:500 for IF (a gift from A. SantaMaria, University of Basel, Basel, Switzerland), rabbit anti-HAUS6 at 1:200 for IF (a gift from L. Pelletier, Lunenfeld Research Institute, Toronto, Canada), rabbit anti–phospho-Hec-1 at 1:500, mouse and rabbit anti-pericentrin at 1:500 and 1:1000 for IF and mouse anti-plk1 at 1:1000 for IF (all gifts from J. Swedlow, University of Dundee, Dundee, United Kingdom), rabbit anti–Cep192 at 1:200 and mouse anti-NEDD1 1:1000 for IF (both gifts from S. Rocha, University of Dundee), rabbit anti-ALADIN 1:1000 for blotting and 1:200 for IF (Proteintech Europe), mouse anti-ALADIN at 1:100 for IF (monoclonal B-11; Santa Cruz Biotechnology), rabbit anti-NuMA at 1:1000 for IF and 1:2000 for blotting, rabbit anti-TPX2 at 1:1000 for IF, rabbit anti-Eg5 at 1:1000 for IF (all from Novus Biologicals), rabbit anti–Aurora A at 1:1000 for IF, rabbit anti–phospho T288 Aurora A at 1:400 for IF, rabbit anti-HURP at 1:500 for IF, and mouse anti-Tacc3 at 1:1000 for IF (all from Abcam). For Western blot studies, rabbit anti–Aurora A was used at 1:1000 (BioLegend). When necessary, GFP-fusion protein signals were enhanced in IF with GFP-booster 1:200 (ChromoTek) or sheep anti-GFP antibody at 1:200 (BD Biosciences).
Secondary antibodies were highly cross-subtracted Alexa Fluor 488–, 555–, 594–, and 647–conjugated anti-mouse, -human, -rabbit, -sheep, and -rat and used at 1:500 or 1:200 (Life Technologies) for IF. Cross-subtracted DyLight 488– and Cy3-conjugated donkey anti-rat and anti-mouse immunoglobulin G (IgG; Jackson ImmunoResearch) were used at 1:500 for IF. DAPI was used at 2 μg/ml. For Western blotting, primary antibodies were detected with horseradish peroxidase–conjugated secondaries diluted 1:5000 (Promega) and developed with ECL (GE Healthcare) or IR-conjugated secondaries (IRDye800, Rockland Immunochemicals; Alexa Fluor 680, Life Technologies) and visualized on a LI-COR Odyssey (LI-COR Biosciences).
All images were stored in OMERO, and figures were generated using OMERO.figure, Fiji, or Photoshop (Adobe).
Immunoblotting and immunoprecipitation
G2/M-arrested cells were obtained by mitotic shake off. Mitotic enriched extracts or whole-cell extracts were prepared by lysing cells in 10 mM Tris-HCl, pH 7.5, 500 mM NaCl, 0.5 mM EDTA, 0.5% NP-40, and EDTA-free complete protease inhibitor mix (Roche). When phosphoproteins were to be analyzed, 1× Phospho STOP (Roche) was added to the lysis buffer.
For immunoprecipitation, lysates were cleared by a prespin at 20,000 × g for 5 min at 4ºC, preequilibrated in 20 mM 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid, pH 7.9, 0.5 mM dithiothreitol and 20% glycerol, and incubated for 16 h at 4ºC with anti-ALADIN, anti-GFP, or control IgG (Sigma-Aldrich), followed by 2-h incubation with rotation with protein G–Sepharose beads (Pierce) at 4ºC. Beads were washed three times with cold PBS buffer, and bound proteins were eluted in 2× LDS-sample buffer (NuPAGE; Life Technologies).
Immunoprecipitated proteins or cell extracts were separated on NuPAGE 4–12% Bis-Tris Gels (Life Technologies) and then transferred to nitrocellulose membranes, and Western analysis was performed as described (Griffis et al., 2007).
Statistical analysis
Data obtained from Omero and Fiji were imported into sigma-plot software, which was used to generate box-and-whisker and polar plots. In box-and-whisker plots, the middle line shows the median value; the bottom and top of the box show the lower and upper quartiles; whiskers extend to 10th and 90th percentiles; and all outliers are shown. To determine statistical significance between two treatments, we used Student’s t test, and to evaluate three or more data sets, we used one-way analysis of variance (significance is reported on each figure).
Supplementary Material
Acknowledgments
We are grateful to Ana Rodrigues Martins and Charlie Chandsawangbhuwana, students from the Woods Hole Physiology Course who contributed to this study. We thank Jason Swedlow and lab for the gift of reagents, as well as helpful discussion, and M. Porter for assistance with quantitative image analysis tools. We thank Steve Ross and Nikon for the generous loan of Nikon microscopes at the Woods Hole Physiology Course, and George Peeters from Solamere Technology Group for assistance with microscopy systems. We thank the Light Microscopy Facility, College of Life Sciences, University of Dundee, for help with imaging. This work was supported by a Wellcome Trust RCDF award (090064/Z/09/Z) to E.R.G., a Wellcome Trust Strategic award to the Centre for Gene Regulation and Expression (097945/B/11/Z), and a grant from the German Research Foundation to A.H. (HU895/5-1). S.C. was supported by a Biotechnology and Biological Sciences Research Council studentship.
Abbreviations used:
- dsRNAs
double-stranded RNAs
- ER
endoplasmic reticulum
- GFP
green fluorescent protein
- NEBD
nuclear envelope breakdown
- NPC
nuclear pore complex
- Nups
nucleoporins
- PA-GFP
photoactivatable GFP
- RFP
red fluorescent protein
- RNAi
RNA interference
- RT-PCR
reverse transcription PCR
- siRNAs
small interfering RNAs
Footnotes
This article was published online ahead of print in MBoC in Press (http://www .molbiolcell.org/cgi/doi/10.1091/mbc.E15-02-0113) on August 5, 2015.
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