Abstract
Centrosome amplification has long been recognized as a feature of human tumors, however its role in tumorigenesis remains unclear1. Centrosome amplification is poorly tolerated by non-transformed cells, and, in the absence of selection, extra centrosomes are spontaneously lost2. Thus, the high frequency of centrosome amplification, particularly in more aggressive tumors3, raises the possibility that extra centrosomes could, in some contexts, confer advantageous characteristics that promote tumor progression. Using a three-dimensional model system and other approaches to culture human mammary epithelial cells, we find that centrosome amplification triggers cell invasion. This invasive behavior is similar to that induced by overexpression of the breast cancer oncogene ErbB24 and indeed enhances invasiveness triggered by ErbB2. We show that, through increased centrosomal microtubule nucleation, centrosome amplification increases Rac1 activity, which disrupts normal cell-cell adhesion and promotes invasion. These findings demonstrate that centrosome amplification, a structural alteration of the cytoskeleton, can promote features of malignant transformation.
The centrosome is the major microtubule-organizing center in mammalian cells and comprises of a pair of centrioles surrounded by the pericentriolar material5. Centrosome abnormalities, usually increased numbers, are common in human tumors1 and have been positively associated with advanced tumor grade and metastasis3, suggesting a possible role in tumor progression. This is somewhat surprising given the well-documented deleterious effects of centrosome amplification on cell proliferation6; in fact such amplification can be lethal if it compromises the ability of cells to organize multiple centrosomes to generate pseudo-bipolar spindles2. These seemingly paradoxical observations suggest that centrosome amplification might enhance other aspects of tumorigenesis.
We have developed orthogonal approaches to generate genetically comparable cells that do or do not carry extra centrosomes2. Here we adapt these methods to determine how centrosome amplification influences epithelial organoid integrity, making use of the well characterized 3-D culture model for MCF10A cells, a non-transformed human mammary epithelial cell line. This model recapitulates many aspects of breast glandular architecture7.
We engineered MCF10A cells to enable the inducible overexpression of Polo-like kinase 4 (Plk4), an essential regulator of centrosome duplication, whose overexpression induces supernumerary centrosomes8,9. As a negative control, we transiently overexpressed a truncated form of Plk4 (Plk41–608) that retains kinase activity but does not induce centrosome amplification10. As expected, transient induction of Plk4, but not of Plk41–608, led to centrosome amplification (Fig. 1a, Extended Data Fig. 1). Strikingly, centrosome amplification induced by Plk4 resulted in the formation of invasive protrusions, cytoplasmatic extensions that invade the surrounding matrix (Fig. 1b and Extended Data Fig. 1f, g). Expression of centrin1-GFP to visualize the centrioles revealed that virtually all cells with invasive protrusions exhibited centrosome amplification (Fig. 1c). An independent approach, using an organotypic culture system to assay for fibroblast-lead collective migration, confirmed that centrosome amplification promotes invasion, both of MCF10A cells and non-transformed keratinocytes (HaCaTs) (Fig. 1d and Extended Data Fig. 1h).
Cytokinesis failure was induced in MCF10A cells with dihydrocytochalasin B (DCB) to generate centrosome amplification without Plk4 overexpression. Newly-generated tetraploid cells, with doubled centrosome content, were isolated by Fluorescence Activated Cell Sorting (FACS). A control population of tetraploid cells where extra centrosomes were spontaneously lost were generated, as previously described2 (evolved tetraploids, 4N.evo, Extended Data Fig. 2a–e). Tetraploid cells with extra centrosomes were invasive in 3-D cultures, whereas 4N.evo cells were not (Fig. 1e). Plk4 overexpression in 4N.evo cells induced centrosome amplification accompanied by invasive protrusions, demonstrating that 4N.evo cells still retained the ability to become invasive (Extended Data Fig. 2g, h).
Invasive protrusions are accompanied by the degradation of Laminin-V (Fig. 1f) and collagen-I (DQ-Col-I) (Extended Data Fig. 1i), contain actin and microtubules (Extended Data Fig. 3a) and are surrounded by the extracellular matrix component fibronectin (Extended Data Fig. 3b). Consistent with centrosome amplification promoting matrix degradation, the invasive phenotype was partially suppressed by inhibition of metalloproteinases using Marimastat (Extended Data Fig. 3c). Live cell imaging showed that protrusions are highly dynamic, constantly extending and retracting (Supplementary videos 1 and 2), which may partially explain why only a fraction of acini with extra centrosomes exhibits invasive protrusions at a given time (Fig. 1c). The formation of an initial protrusion provided a track for the collective migration of multiple cells out of the acinus and into the surrounding matrix (Extended Data Fig. 3d, e, Supplementary video 3). Strikingly, this type of collective invasion resembles what has been observed in tumors in vivo. Indeed, many solid tumors typically exhibit collective invasion, which often involves the degradation of the extracellular matrix11.
Invasion induced by centrosome amplification strongly resembled that induced by a bona fide breast cancer oncogene, ErbB24 (Extended Data Fig. 4). As in ErbB2 tumors12, cells with extra centrosomes retained the expression of E-cadherin (Extended Data Fig. 3f), suggesting that mechanisms other than a classical epithelial-to-mesenchymal transition account for the invasive phenotype. Importantly, when combined with ErbB2 overexpression, centrosome amplification enhanced the frequency of invasive acini (Fig. 1g).
The induction of invasive protrusions by extra centrosomes could be an indirect consequence of aneuploidy that results from chromosome missegregation2,13. To directly test this hypothesis, we depleted MCAK, a kinesin important for chomosome segregation during mitosis14, to induce a comparable degree of aneuploidy before (48hrs post Plk4 induction) and after 4 days in 3-D culture (Fig. 2a, b). Cells depleted of MCAK neither increased centrosome number nor exhibited a significant increase in invasive protrusions (Fig. 2c, d). Similarly, aneuploidy, generated by inhibition of the spindle assembly checkpoint kinase Mps1 (Reversine)15 also failed to induce invasion (Extended Data Fig. 5a–c). In addition, although 4N.evo cells exhibit significant aneuploidy, they did not form invasive acini (Fig. 1e, Extended Data Fig. 2f). Finally, single-nucleotide polymorphism analysis (SNP-arrays) demonstrated that neither cells with extra centrosomes nor depletion of MCAK accumulate a recurrent aneuploidy after 4 days in 3-D culture (Fig. 2e and Extended Data Fig. 5d). Thus, aneuploidy per se is not responsible for the invasive behavior.
Centrosome amplification also leads to altered cilia signaling16 and to increased levels of p5317. However, we found that neither the parental MCF10A cells nor the derivatives with extra centrosomes formed cilia after 4 days in 3-D culture. Moreover, depletion of p53 did not alter centrosome amplification-mediated invasion (Extended Data Fig. 6a–d). In a transplant model using asymmetrically dividing neuroblasts from Drosophila, centrosome amplification induces tumors that, interestingly, are capable of metastasis18. Centrosome amplification in this system disrupts asymmetric cell division, resulting in stem cell expansion, potentially contributing to tumorigenesis. Because MCF10A cells do not undergo asymmetric cell division, this mechanism does not apply to our results. In the Drosophila neuroblasts, centrosome amplification may also disrupt cell polarization, which can trigger tumorigenesis in many systems. Although we cannot exclude effects on cell polarization in our system, we do note that MCF10A cells cannot form tight junctions and do not exhibit polarization of the apical Par3-Par6-aPKC complex19. Moreover, centrosome amplification does not impair the ability of MCF10A cells to asymmetrically position centrosomes, the main detectable polarization in these cells (Extended Data Fig. 6e, f).
Insight into why cells with extra centrosomes are invasive in 3D cultures first came from observing the adhesive properties of single cells after cell division. As expected because they are epithelial cells, following mitosis, MCF10As formed cell-cell contacts, and remained as apposed cell pairs. By contrast, cells with extra centrosomes “scattered”, resulting in a high fraction of individual cells (Extended Data Fig. 7a, b, Supplementary videos 4 and 5), a characteristic associated with loss of cell-cell adhesion. Furthermore, live cell imaging in cells with a fluorescent membrane marker revealed that cell-cell contacts are not stable and often overlap in cells with extra centrosomes (Fig. 3a, Supplementary videos 6 and 7). As a direct measure of cell-cell junction integrity, we plated cells onto fibronectin micropatterns that were specifically designed to promote the formation of adherens junctions at a stereotypical position between the two cells (Fig. 3b)20. Consistent with the cell scattering effect, centrosome amplification produced marked defects in cell-cell junction positioning and size (Fig. 3c, d). This effect of centrosome amplification is similar to that described for loss of p120 catenin, whose knockdown weakens cell-cell contacts20, although centrosome amplification does not affect p120 levels (Extended Data Fig. 7c).
These phenotypic characteristics induced by centrosome amplification are remarkably similar to what has previously been observed upon activation of Rac121,22, a small GTPase strongly associated with oncogenic signaling, and with the induction of invasiveness and metastasis23,24. This motivated the hypothesis that extra centrosomes might promote invasive-like effects through inappropriate activation of Rac1. Indeed, we found that centrosome amplification induced a consistent ~1.5-fold Rac1 activation using a biochemical pull-down assay to measure GTP-liganded Rac1 in multiple cell lines [Note: maximal Rac1 activity induced by EGF in MCF10A cells is ~2-fold (Fig. 3e and Extended Data Fig. 7d, e)]. This was confirmed by monitoring Rac1 activation in single cells using the Raichu-Rac1 fluorescence resonance energy transfer (FRET) biosensor25 (Fig. 3f and Extended Data Fig. 7f, g). Consistent with the known antagonism between Rac1 and RhoA, we found that cells with extra centrosomes have decreased active RhoA (Extended Data Fig. 7h). Thus, centrosome amplification in MCF10A cells activates Rac1.
Small molecule Rac1 inhibition (NSC23766) inhibited Rac1 activation and rescued defects in cell-cell adhesion, suggesting that Rac1 activation is responsible for the cell-cell adhesion defect in cells with centrosome amplification, (Fig. 3g and Extended Data Fig. 7i). Similar results were obtained in tetraploid MCF10A cells (Extended Data Fig. 8a, b). Furthermore, treatment with CK-666, an inhibitor of the Arp2/3 complex, an actin nucleator and important downstream target of Rac123, also partially rescued the defects in cell-cell adhesion induced by centrosome amplification (Extended Data Fig. 8c–e). These findings demonstrate that the cell-cell adhesion defects in cells with extra centrosomes are, to a significant degree, caused by increased Arp2/3-dependent actin polymerization that occurs downstream of Rac1 signaling. In addition, we found that Rac1 inhibition blocked the formation of invasive acini without impairing the ability of cells to form normal acini (Fig. 3h).
Previous work has established that microtubule polymerization after nocodazole washout induces Rac1 activation. This activation appears to require dynamic microtubules because it is suppressed by the microtubule-stabilizing agent, Paclitaxel26. We considered the possibility that centrosome amplification induces Rac1 activation through effects on centrosomal microtubule nucleation. As expected27, MCF10A cells with extra centrosomes display elevated levels of centrosomal γ-tubulin (Extended Data Fig. 9) and an increased capacity for microtubule-nucleation (Fig 4a, note that amplified centrosomes are almost always clustered in interphase). Moreover, Paclitaxel blocked the activation of Rac1 in cells with extra centrosomes (Fig. 4b), suggesting a similar requirement for dynamic microtubules26. These results were independently confirmed when Rac1 activity was monitored by FRET (Fig. 4c). Finally, Rac1 activation measured by FRET was also observed in cells with extra centrosomes deprived of EGF (Extended Data Fig. 9d), suggesting that this Rac1 activation is independent of any effects on growth factor signaling. Furthermore, induction of centrosome amplification (at 48hrs) does not alter the cell cycle profile (Extended Data Fig. 9e) arguing against cell cycle effects as the cause for Rac1 activation in cells with extra centrosomes.
We next examined the impact of increased centrosomal microtubule nucleation on cell-cell adhesion and the development of invasive structures. To do so, centrosomal microtubule nucleation was moderately decreased by RNAi-mediated knockdown of Cep192, which encodes a centrosomal protein required for interphase recruitment of γ-tubulin to the centrosomes28. As described28, this protocol decreases centrosomal γ-tubulin without affecting centrosome number (Extended Data Fig. 10a, b, d, e). Consistent with our hypothesis, the depletion of Cep192 inhibited Rac1 activation and restored normal cell-cell adhesion among cells with centrosome amplification (Fig. 4d–f and Extended Data Fig. 10). Most significantly, partial depletion of Cep192 by shRNA fully suppressed the invasive phenotype in cells with extra centrosomes without compromising cell viability or centrosome amplification, even after 4 days in 3-D cultures (Fig. 4g, Extended Data Fig. 10c, f–h). These results strongly suggest that increased centrosomal microtubule nucleation in cells with extra centrosomes triggers invasion. Although it remains unclear how dynamic microtubules activate Rac129, our data suggests that Rac1 activation downstream of microtubule nucleation plays a central role in this phenomenon.
Deregulated Rac1 activity has been implicated in the pathogenesis of many tumor types and is known to drive tumor invasion and metastasis24. Previous studies have demonstrated that Rac1 activation in tumors can be regulated by multiple mechanisms24. We showed that centrosome amplification is likely another common mechanism for Rac1 activation during tumorigenesis, and that centrosome amplification may augment other oncogenic signals. In addition to Rac1 activation, additional mechanisms contribute to the effects of centrosome amplification. Indeed, gene expression analyses of 3-D cultures showed that TGF-β pathway, involved in metastasis formation and associated with tumor aggressiveness30, is strongly upregulated in cells with extra centrosomes (SAG and DP unpublished data).
Many studies have noted a positive correlation between centrosome amplification and advanced stage tumors, recurrence and poor survival3, yet the mechanistic basis for this correlation has remained unclear. Here we provide the first evidence that centrosome amplification can mimic and accentuate the effects of oncogenes in triggering cellular invasion. These findings illustrate the integral relationship between cellular signaling and the cytoskeleton, underscoring the importance of this relationship to tumor progression.
Full Methods
Cell culture
Human mammary epithelial MCF10A cells were cultured as previously described31. Briefly, MCF10A cells were grown in DMEM/F12 (Invitrogen) supplemented with 5% donor horse serum (Sigma), 20 ng/ml epidermal growth factor (EGF; Sigma), 10 µg/ml insulin (Invitrogen), 100 µg/ml hydrocortisone (Sigma), 1 ng/ml cholera toxin (Sigma), 100 U ml−1 penicillin and streptomycin (Invitrogen). The MCF10A cell line overexpressing the human ERBB2 gene (MCF10A.ErbB2 or MCF10A.NeuN) was previously characterized32,33. For 3-D cultures cells were grown in the same medium with reduced horse serum (2%) and EGF (5 ng/ml). To assay invasion in 3-D cultures, cells were grown in a mix of Matrigel:Collagen-I, as previously described34. The addition of collagen-I to Matrigel facilitates invasion by increasing matrix stiffness35. We used growth factor-reduced Matrigel™ (BD Biosciences) lots with protein concentrations between 9 and 11 mg/ml. Collagen-I (BD Biosciences) was used at 1.6 mg/ml. Cells were grown for 4 days in 3-D cultures before quantification of invasion. Between 200–300 acini were scored per condition for each experiment. To assess collagen-I degradation in 3-D cultures, we added to the Matrigel:Collagen-I mix 25 µg/ml of quenched DQ-collagen-I (Molecular Probes). After degradation, DQ-collagen-I becomes fluorescent.
To collect cells from 3-D cultures we incubated cells with Dispase (BD Biosciences) for 30–60 minutes at 37°C, according to manufacturer’s instructions. Cell aggregates were then trypsinized to obtain single cells suspensions and processed either for western blotting or to prepare chromosome spreads.
The alveolar epithelial cell line 16HBE, provided by Alan Hall, was cultured in MEM (Invitrogen) supplemented with GlutaMAX, Earle’s salts, 10% of FBS and 100 U ml−1 penicillin and streptomycin (REF). The non-transformed keratinocyte line (HaCaT), primary breast fibroblasts (1492N) and skin fibroblasts (HDFs) were provided by John Marshall. HaCats and HDFs were cultured in DMEM supplemented with 10% of FBS and 100 U ml−1 penicillin and streptomycin, 1492N were cultured in 50:50 Ham’s F12:DMEM supplemented with 10% of FBS and 100 U ml−1 penicillin and streptomycin We used Tetracyclin-Free FBS (Hyclone) to grow the 16HBE and HaCaTs cells expressing the Plk4 construct to inhibit Plk4 expression in the absence of Doxycyclin.
Organotypic culture system
The organotypic culture system was adapted from previously described methods36,37. Briefly, 200ul of culture media containing epithelial cells or epithelial cells plus fibroblasts was added on top of the polymerized matrigel:collagen-I mixture in each well. Co-cultured of epithelial cells with fibroblasts was done as follows: HaCats cells were grown with HDF fibroblasts and MCF10A cells were grown with human primary fibroblasts (1492N). 600ul of culture media was added to the bottom of the transwell. Fibroblasts invade the matrigel:collagen-I layer whereas most of the non-invasive epithelial cells grow on top of this layer. Medium was changed every 2 days. Cells were grown for 7 days before samples were fixed and stained.
Cells in transwells were fixed in formalin o.n. at room temperature. Inserts were removed using scalpel and placed in 70% of ethanol and processed for histology. Paraffin embedded inserts were sectioned and stained for H&E (Hematoxylin and Eosin). For both MCF10A and HaCaTs, the percentage invasion was calculated as the number of cells that entered the matrigel:collagen-I layer relative to the total number of cells per each well.
Lenti and Retroviral Vectors
For the generation of the inducible Plk4 overexpression system we used the lentiviral vectors pLenti-CMV-TetR-Blast (17492, Addgene) and pLenti-CMV/TO-Neo-Dest (17292, Addgene)38. WT Plk4 and Plk41–608 cDNAs were cloned using the gateway system into the pLenti-CMV/TO-Neo-Dest vector. Cells were first infected with a lentivirus containing the TetR and selected with Blasticidin (10-5µg/ml). After selection, cells were infected with the lentivirus containing the WT Plk4 or Plk41–608 transgenes and selected with Geneticin (200–100µg/ml). Note that no clones were selected at any point and that all the selected cells were pooled to make a population. All the cell lines generated were induced with 2µg/ml of Doxycyclin for 48hrs to induce the expression of the transgenes. pLKO.1 lentiviral vector containing Cep192 shRNA hairpin sequence was obtained from The RNAi consortium (TCR) at the Broad Institute (5'-CCCGG GAGGCATCAGTTAATACTGAT-CTCGAG-ATCAGTATTAACTGATGCCTC TTTTTTG-3'). pLKO.1 lentiviral vector expressing p53 shRNA was obtained from Addgene (19119)39. Lentilox Centrin1-eGFP construct was a generous gift from J. Loncarek. pLenti6/V5 lentiviral vector expressing H2B-GFP was cloned as previously described2. The Rac1-Raichu biosensor, a generous gift from M. Matsuda, was subcloned into the retroviral vector pWZL-blast using the following restriction sites: EcoR1 and SalI.
Chemicals
Doxycycline (Sigma) was used at 2 µg/ml. The following doses of inhibitors were used: 25 µM NSC23766 (EMD Millipore), 50 µM CK-666 (Sigma), 0.1 µM Riversine (Cayman Chemical), 10 mM Paclitaxel (Sigma), 4 µM of Dihydrocytochalasin B (DCB; Sigma), 200 ng/ml Doxorubicin (Sigma) and 5 µM and 10 µM of Marimastat (BB-2516; Sigma).
Indirect immunofluorescence microscopy
2-D
Cells plated in glass coverslips were washed in PBS and fixed with 4% of PFA for 15 minutes at room temperature (RT). For centriole/centrosome staining, cells were fixed with ice-cold methanol at −20°C for 10 minutes. Following fixation, cells were premeabilized with PBS-0.2% Triton X-100 for 5 minutes, blocked in PBST (PBS-5%BSA-0.1% Triton X-100) for 30 minutes, and then incubated with primary antibodies in PBST for 60 minutes. Cells were washed with PBS and incubated with species-specific fluorescent secondary antibodies (Alexa-conjugated, Molecular Probes). DNA was stained with Hoechst 33342 (1:5000; Invitrogen) for 5 minutes in PBS. Coverslips were mounted with ProLong Antifade mounting medium (Molecular Probes). Antibodies used included anti α-tubulin DM1a (1:500; Sigma-Aldrich), anti-centrin2 (1:100; Santa Cruz), anti γ-tubulin GTU88 (1:500; Sigma-Aldrich) and anti β-catenin (1:500; Abcam). Phalloidin was used to stain F-actin (1:250; Alexa Fluor 568; Invitrogen). Images were collected with a Yokogawa CSU-22 spinning disk confocal mounted on a Zeiss Axiovert microscope using 404, 488 and 561 nm laser light. Captured images from each experiment were analyzed with Slidebook software (Intelligent Imaging Innovations). Measurement of centrosome number was preformed in mitotic cells, ~100 were scored in each experiment.
3-D
Immunofluorescence of 3-D cultures was carried out as previously described31. Briefly, cells grown in 3-D cultures were washed with 1× PBS and fixed in 5% of formalin (Sigma) in PBS for 20 minutes at 37°C. After fixation cells were rinsed 3 times, 10 minutes each, with PBS:Glycine (100 mM) and permeabilized with 0.5% Triton X-100 in PBS for 10 minutes. Cells were blocked with 10% of goat serum (Sigma) in IF buffer for 1hr at RT and primary antibodies were incubated in the same solution over night at 4°C. Cells were washed 3 times, 20 minutes each, with IF buffer. When required, cells were incubated with secondary antibodies for 1hr at RT (Alexa-conjugated, Molecular Probes). Cells were washed 2 times with IF buffer and 1 time with PBS followed by incubation with Hoechst 33342 (1:2500; Invitrogen) for 20 minutes. 3-D cultures were then mounted in ProLong Antifade mounting medium (Molecular Probes). Antibodies used included anti α-tubulin FITC conjugated DM1a (1:100; Sigma), anti Laminin-V Alexa Fluor 488 conjugated (1:100; Millipore), anti acetylated-tubulin 611B-1 (1:100; Sigma), antifibronectin (1:100; BD Biosciences) and anti-Pericentrin (1:100; Abcam). Phalloidin was used to stain F-actin (1:100; Alexa Fluor 568; Invitrogen). Images were collected with a Nikon A1R Laser Scanning Confocal head mounted on a Nikon Ti-E motorized inverted microscope using 404, 488 and 561 nm laser light. Captured images from each experiment were analyzed using NIS-Elements software (Nikon).
Long-term live-cell imaging
H2B-GFP expressing cells were grown on glass-bottom 12-well tissue culture dishes (MatTek) for 2-D imaging or in Lab-Tek chambered coverglass for 3-D imaging. Cells were imaged on a Nikon TE2000-E2 inverted microscope equipped with a cooled CCD camera (TE2000, Orca ER, Hamamatsu; Ti-E, Coolsnap HQ2, Photometrics), a precision motorized stage (Bioprecision, Ludl), and Nikon Perfect Focus. Microscope was enclosed within temperature and CO2-controlled environments that maintained an atmosphere of 37° C and 3–5% humidified CO2. GFP and bright field images were captured at multiple points every 4 minutes for 1–2 days with either 10X (0.3 NA) or 20X (0.5, 0.75 NA) objectives. Captured images from each experiment were analyzed using NIS-Elements software.
Immunofluorescence Quantification
Quantification of γ-tubulin fluorescence intensity associated with the centrosomes was performed as previously described40. Images were acquired with a 100× NA 1.45 Plan Apo objective. Stacks of 6 images with 0.6 µm step size were collected. Step size was calculated to have minimal pixel overlapping between steps. SUM intensity projections of the images were used to quantify fluorescence intensity using ImageJ. Computer generated 50 × 50 and 80 × 80 pixel regions were centered over each centrosomes (as shown in Fig. S10). The intensity value measured for the 50 × 50 pixel region include both centrosome and background fluorescence. Background fluorescence was obtained by subtracting the integrated value of 50 × 50 pixel region from the larger 80 × 80 pixel region. Integrated centrosomal fluorescence intensity was calculated by subtraction of the background fluorescence intensity from total fluorescence intensity (Fig. S10). The advantage of this approach is that it controls for the inhomogeneity in background fluorescence.
2D Cell-Cell Adhesion Analysis
MCF-10A cells expressing the Raichu-Rac (here used just to visualize the cell membrane), with and without centrosome amplification, were plated on glass-bottom tissue culture dishes (MatTek) coated with 20µg/ml Fibronectin (Sigma Aldrich) for 20min. Centrosome amplification was induced by 48 hr Plk4 induction, as described above. To monitor the cell-cell contact dynamics, we acquired timelapse series of images, visualizing the CFP moiety of the Raichu-Rac FRET reporter (Figure 3a and supplementary video 6 and 7) at 5 min intervals over 12.4 hours. To illustrate differences in cell-cell contact dynamics, we generated Kymographs (Figure 3a). The Kymograph was obtained by sequentially mounting a 1×336(pixel) region of interest from the videos, using ImageJ. Timelapse series were collected with a Nikon inverted microscope with epi-fluorescence optics using a 40× plan Apo NA 1.4 objective. The microscope was equipped with a Nikon Perfect Focus System and a Hamamatsu ORCA ER cooled CCD camera and controlled with Nikon NIS-Element software. To reduce illumination intensity, minimizing phototoxicity and photobleaching, we used a ND8 (1/8 transmission) neutral density filter.
Western Blotting
Cells were collected and ressuspended in Laemmli buffer and proteins were separated on sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and transferred onto PVDF membranes. Antibodies used included anti α-tubulin DM1a (1:2000; Sigma), anti-Cep192 (1:1000; generous gift from L. Pelletier), anti-MCAK (1:1000; Bethyl Laboratories), anti-p53 (1:1000, Cell Signaling), anti-P-p53 (1:1000, phospho-Ser15, Cell Signaling), E-cadherin (1:1000, Invitrogen) and anti-Rac1 (1:1000, BD Biosciences). Images were acquired using ImageQuant LAS4000 (GE Healthcare) and when required band intensity was quantified using ImageJ.
siRNA
siRNA was preformed using Lipofectamine RNAiMax (Invitrogen) according to manufacture’s instructions. 50nM of CEP192, MCAK and Luciferase (negative control) siRNA was used per well in a 6-well plate. After 6hrs of incubation, transfected cells were washed and normal growth medium was added. Cells were analyzed at 48hrs after transfection. ON-Target plus SMART pools were used for MCAK and CEP192 siRNA (Dharmacon):
- Human KIF2C/MCAK siRNA (L-004955-00-0005):
- GGCAUAAGCUCCUGUGAAU (J-004955)
- CCAACGCAGUAAUGGUUUA (J-004955-07)
- GCAAGCAACAGGUGCAAGU (J-004955-08)
- UGACUGAUCCUAUCGAAGA (J-004955-09).
- Human CEP192 siRNA (L-032250-01-0005):
- UGUGAAGAAAUACGAGAUA (J-032250-09)
- GCUCAGCGGUAUUUGGGAA (J-032250-10)
- GUCUAGAACUCGAGAAUCA (J-032250-11)
- GGUUGAAGCAGUAGAGAGU (J-032250-12)
Single-nucleotide polymorphism (SNP)
Cells from 3-D cultures were recovered after 4 days as described above (see Cell Culture section for details) and genomic DNA was prepared using DNA purification Kit (Qiagen) according to manufacturer’s instructions. Genomic DNA was used to perform for analysis with genome-wide human SNP 6.0 arrays to determine copy number in MCF10A control cells, MCF10A after induction of centrosome amplification and MCF10A depleted of MCAK. SNP array data was analyzed with the Nexus Copy Number Software (BioDiscovery; http://www.biodiscovery.com/software/nexus-copy-number/), using the “Matched Paired Analysis” module. The SNP data discussed in this publication have been deposited in NCBI’s Gene Expression Omnibus45 and are accessible through GEO Series accession number GSE55042 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE55042).
Microtubule-Polymerization assay
Cells plated in glass coverslips were transferred to ice cold medium and incubated 1hr on ice to depolymerize microtubules. Cells were then incubated with medium at 37°C for 30 seconds to allow microtubules to polymerize and fixed immediately in ice-cold methanol for 10 minutes. Cells were stained for microtubules and centrioles (as described above) and microtubule number was quantified manually. Images of cells used in the analysis were acquired from 2 independent experiments.
qRT-PCR
Plk4 is highly unstable and we were not able to monitor its transient overexpression by western blotting. qRT-PCR was therefore used to determine the extent of its expression. RNA was prepared using Qiagen RNAeasy kit according to manufacturer’s instructions. For 3-D cultures, RNA was initially harvested using Trizol, and after chloroform extraction, the upper aqueous phase was used to purify RNA using the RNAeasy kit. 300 ng of RNA was used to produce cDNA using qScript cDNA SuperMix kit (Quanta Bioscience), according to manufacturer’s instructions. For qRT-PCR, we used Power SYBR Green followed by analysis with ViiA PCR machine (Applied Biosystems). Primers used to assess the levels of Plk4 overexpression only amplify the exogenous WT Plk4 or Plk41–608 sequences.
List of Primers for qRT-PCR:
Plk4-forward: 5’-CAG GAT TTG CCC GGG ATG GCG-3’
Plk4-reverse: 5’-AAC CAG TGT GAA TGG ACT CAG CTC T-3’
GAPDH-forward: 5’-TTA AAA GCA GCC CTG GTG AC-3’
GAPDH-reverse: 5’-CTC TGC TCC TCC TGT TCG AC-3’
Rac1-GTP Pulldown
Rac1-GTP pulldown assay was preformed using the Rac1 activation kit (Cytoskeleton) according to manufacturer’s instructions. We used cells plated in one 10 cm dish per assay. Cells were resuspended in 400 µl of lysis buffer and 15 µl of CRIB/PBD beads were used to pull-down active Rac1. Extracts were incubated with the beads for 30 minutes. All the procedures were done at 4°C and buffers were kept ice-cold. After washing, beads were resuspended in 15 µl of Laemmli buffer and processed for Western blotting. To inhibit MT dynamics, cells were treated with 10mM of Paclitaxel for 1hr26.
Generation of tetraploid cells with normal centrosome number
MCF10A cells were treated with 4 µM DCD for ~18hrs, washed every 5 minutes for 30 minutes, and then FACS sorted by DNA content using Hoechst at 1:2500 (Molecular Probes). Cells with a DNA content of 8c (dividing tetraploid cells) were isolated and cultured for ~8 days before a second FACS sorting to re-isolate 8c cells. By sort 4, nearly 100% of tetraploid cells (as assessed by FACS and karyotyping) had two centrosomes.
Chromosome Spreads
MCF10A cells were treated with 20 ng/ml colcemid (Gibco) for 4hrs, trypsinized, resuspended in 75 mM of KCl and incubated for 30 minutes at 37°C. Cells were then fixed with 3:1 ice-cold methanol:acetic acid, (Carnoy’s solution) pelleted, and then washed three times more with methanol:acetic acid before being dropped on a pre-cleaned glass side. Cells were allowed to dry on the slide and were then stained for 3 minutes with Giemsa stain in 1X Gurr’s buffer (Gibco). Following a wash in Gurr’s buffer, coverslips were added to slides and sealed with Permount (Fisher). Images of spreads were taken with a 100X objective on a Zeiss upright microscope and chromosomes were counted manually using PhotoShop. The Chi square test of independence for nominal variables was used to calculate the p value.
FACS
Cells were fixed with 70% ethanol at 4°C followed by incubation with 250 µg/ml RNaseA and 10 µg/ml propidium iodide (Invitrogen) at 37°C for 30 minutes. FACS analysis was performed with a FACScalibur flow cytometer (Becton Dickinson) and data analysed with CellQuest software.
Micropatterning
Glass coverslip micropatterning was performed as previously described41. Coverslips were first spin-coated with adhesion promoter Ti Prime (MicroChemicals) and then with 1% polystyrene in toluene at 3000 rpm. Polystyrene coated coverslips were oxidized through oxygen plasma (FEMTO; Diener Electronics) 15 seconds at 30W before incubating with 0.1 mg/mL PLL-PEG in 10 mM HEPES pH=7.4 for 30 minutes. After drying, coverslips were exposed to deep UV (UVO cleaner, Jelight) through a photomask (TOPPAN) for 5 minutes. Right after UV activation, coverslips were incubated with 20 µg/mL of fibronectin (Sigma), and 20 µg/mL of fluorescent fibrinogen conjugate (Invitrogen) solution in PBS for 30 minutes. Coverslips were washed 3 times with sterile PBS before plating cells. Approximately 0.5 million cells were seeded onto micropatterned chip and were washed after 30 minutes to remove non-attached cells, which almost always resulted in single cells per micropattern. Cells were allowed to divide for 16hrs and then treated either with NSC27633 (25 µM) or CK-666 (50 µM) for 6hrs, before fixation. For Cep192 siRNA, cells were plated after 48hrs of siRNA treatment. Images of cells used in the analysis were acquired from 2 independent experiments.
Note that when the cells divide on these patterns, spindle orientation is completely random with respect to the geometry of the pattern. The cells also move after division prior to establishing normal cell-cell contacts, further altering the position of the prior division site relative to the site of eventual cell-cell contact. Thus, the final adhesion pattern is completely random relative to the initial (and random) orientation of the spindle, as previously described20.
Rac1 FRET
For FRET experiments we used MCF10A cells stably expressing Raichu-Rac25. Centrosome amplification was induced with Dox for 48hrs and ~10000 cells/ml of control and extra-centrosomes cells were plated onto 20µg/ml fibronectin (Sigma Aldrich) coated glass bottom dishes/plates (MatTek) for 6hrs. For EGF depletion experiments cells incubated without EGF for 15hrs.
FRET acquisition
Before acquisition, to increase the signal to noise, the culture medium was exchanged with 199 medium (Life Technologies) without serum and phenol red. For FRET imaging, cells were excited using a Nikon Intensilight source with a 430/24nm (for CFP) excitation filter with a dual band pass (ECFP/EYFP #89002) dichroic mirror and 470/24 (for CFP) and 535/40 (for FRET and YFP) emission filters from Chroma (Bellows Falls, VT). To reduce illumination intensity and thus minimize phototoxicity and photobleaching, we used a ND8 (1/8 transmission) neutral density filter. All images were collected with Nikon Ti inverted microscope with epi-fluorescence optics equipped with a 40× plan Apo NA 1.4 object lens, perfect focus system and a Hamamatsu ORCA ER cooled CCD camera controlled with Nikon NIS-Element software.
The following steps were taken to calculate the average magnitude and spatial variation of the camera’s noise for image correction of the acquired channels (CFP, FRET): (i) a sequence of 10 dark-current images were taken with 600ms exposure time and 4×4 binning as the experimental images, but with no light incident on the CCD; (ii) a sequence of 10 shade/illumination correction images for each channel (CFP and FRET) were taken with 600ms exposure time and 4×4 binning as the experimental images, but acquired on a blank area without any objects. The average dark-current and shade images were calculated by averaging the acquired 10 images by using ImageJ. Single channel images (CFP, FRET) for each field view visualizing maximum four non-contacting cells were collected by using an exposure time of 600ms, 4×4 binning, a ND8 (1/8 transmission) neutral density filter and illumination light shuttered between acquisitions.
FRET analysis
The Biosensor software from Dr. Gaudenz Danuser’s laboratory (http://lccb.hms.harvard.edu/index.html) along with a series of automated ImageJ macros were used to calculate the FRET ratio images. The acquired CFP and FRET images were corrected for the average dark-current, shading and background subtracted by using Biosensor or ImageJ. Then, single cell images from each channel (CFP and FRET) were segmented by using the ImageJ minimum and mean threshold method, and the relative regions of interest (ROIs) were recorded. Single cell mask images having background and foreground (cell image) pixel values equal to zero and one, respectively, were calculated from each cell ROI by ImageJ. To set the image background pixels to zero, CFP and FRET images were multiplied by the corresponding calculated image masks. Finally the FRET Ratio images are obtained by dividing the processed FRET image by the CFP image.
Single cell average FRET/CFP values representing the Rac1 activation levels were obtained by calculating the mean pixel value of the FRET ratio images for each ROI (single cell). FRET/CFP values were collected from 2 independent experiments. An unpaired two-tail t-test statistical analysis was used to obtain level of significance between different experiment conditions.
Extended Data
Supplementary Material
Acknowledgements
We are grateful to S. Jhaveri-Schneider, S. Muthuswamy, M. Bettencourt-Dias, R. Basto, D. Calado, N. Ganem, A. Spektor, M. Kwon and B. Atkins for comments/discussion of the manuscript; the Nikon Imaging Center at Harvard Medical School; J. Waters, J. Rosenberg and Hunter Elliott for their help with FRET microscopy and analysis, Lisa Cameron of the Confocal and Light Microcopy Facility at Dana-Farber Cancer Institute; Hubo Li of SNP analysis, Amy Bui for help establishing the 3-D cultures, Q. Tseng for establishing MCF10A doublets on micropatterns and C. Sproat and J. Marshall for help with the organotypic cultures. Reagents were kindly provided by L. Pelletier, J. Locarek, M. Matsuda, A. Hall and J. Marshall. SAG is supported by an FCT grant HMSPCT/SAU-ICT/0075/2009. MT is supported by the ERC grant 310472 and the ISI program of BPSFrance. DP is an HHMI investigator and is supported by an NIH grant GM083299-1.
Footnotes
Author contributions
S.A.G and D.P. designed the experiments and wrote the manuscript. S.A.G conceived, conducted and performed data analysis for most experiments. R.P. conceived and conducted all FRET experiments and Fig. 3a. M.T and M.B. contributed with micropattern fabrication, Fig. 3d, Extended Data Fig. 6e–d and Extended Data Fig. 8c–e. R.D. contributed with Fig. 2b and Extended Data Fig. 5a. Y.S., K.P., C.L. and J.B. provided assistance with 3-dimentional cultures. All authors contributed with discussions and edited the manuscript.
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