- Open Access
Live cell division dynamics monitoring in 3D large spheroid tumor models using light sheet microscopy
Cell Division volume 6, Article number: 22 (2011)
Multicellular tumor spheroids are models of increasing interest for cancer and cell biology studies. They allow considering cellular interactions in exploring cell cycle and cell division mechanisms. However, 3D imaging of cell division in living spheroids is technically challenging and has never been reported.
Here, we report a major breakthrough based on the engineering of multicellular tumor spheroids expressing an histone H2B fluorescent nuclear reporter protein, and specifically designed sample holders to monitor live cell division dynamics in 3D large spheroids using an home-made selective-plane illumination microscope.
As illustrated using the antimitotic drug, paclitaxel, this technological advance paves the way for studies of the dynamics of cell divion processes in 3D and more generally for the investigation of tumor cell population biology in integrated system as the spheroid model.
Cell proliferation deregulation is a hallmark of tumor cells. The knowledge of the mechanisms of regulation of cell cycle control and cell proliferation is fundamental to a better understanding of the consequences of their misregulation in tumorigenesis, as well as to manipulate them in cancer therapy. The study of these mechanisms already contributed to a large extent to the improvement of targeted therapies. Nevertheless, most of these works suffer a major limitation that might account for the often-observed failure of new therapeutic strategies. Indeed, most, if not all of the studies performed so far relied on in vitro analyses of rapidly growing cancer cell lines in monolayer. These 2D models do not take into account tissue heterogeneity, cellular interactions and tumour microenvironment that have been shown to be of major relevance in tumour development [1, 2]. Cell cycle control mechanisms are also dependent on cell-cell and cell-extracellular matrix interactions. For example, the orientation of the future cleavage plane at the mitosis is dependent on interaction of the cytoskeleton with intrinsic cortical factors but also with extrinsic cues including cell shape, cell-cell interactions and cell adhesion with extracellular matrix[3, 4]. Therefore, studying mitosis ongoing in a 3D integrated cellular context would be of great interest.
Multicellular tumor spheroids (MCTS) generated from cancer cells are attractive models to study cancer proliferation in 3D. Indeed these 3D complex multicellular systems reproduce cell-cell and cell-matrix interactions as found in solid tumors . Moreover, MCTS can grow to diameters of several hundred micrometers, progressively developing a gradient of proliferating cells similar to that found in non-vascularised micro-regions of a tumor: dividing cells are located in the outer layers and quiescent cells are located more centrally in regions that are hypoxic and receive few nutrients[6, 7].
Despite our extensive knowledge of the molecular mechanisms that control the cell cycle and cell proliferation, and the consequences of their misregulation for tumorigenesis, we have only a rudimentary understanding of the spatio-temporal dynamics of tumor cell proliferation in complex 3D systems such as spheroids. Expression of specific cell markers within spheroids can be detected by immunofluorescence microscopy of paraffin-embedded or frozen sections or by using flow cytometry after enzymatic dissociation of the cells, but these methods do not allow us to consider the 3D organization of spheroids[8, 9]. A few studies have reported 3D imaging of tumor spheres enriched for cancer stem cells, however, these were small spheres (< 150 μm diameter) comprising few cells [10, 11]. The strategies employed cannot be applied to larger spheroids (> 300 μm diameter) that reproduce tumor organization, and they are incompatible with real-time imaging. Indeed, investigation of the dynamics of living cellular processes in 3D inside large spheroids remains technically very challenging.
A light-sheet-based microscopy method known as selective plane illumination microscopy (SPIM) is well adapted to imaging large samples in 3D [12–14]. In SPIM, a sheet of light illuminates the sample perpendicular to the axis of detection at the focal plane of the microscope objective, thus providing optical sectioning of the whole sample. Images are recorded with a CCD camera one plane at a time with high temporal resolution, thus limiting phototoxicity and facilitating imaging of live samples . Furthermore, the combination of several views permits merging of the data obtained at various angles to produce an image in 3D . One study has reported the use of SPIM to image chemically fixed, small (~140 μm diameter) spheroids of BxPC-3 cells - a human pancreatic cancer cell line - stained with the fluorescent DNA dye DRAQ5 , reviewed in .
In this publication we report the first demonstration that SPIM 3D imaging technology is also adapted to live imaging of MCTS that have been engineered to express fluorescent reporter. It is therefore an attracting new approach to explore unsolved issues on the cell division and proliferation dynamics of cancer cells in 3D using the Multicellular Tumor Spheroid model.
Imaging spheroids with a single-plane illumination microscope
In order to investigate, in 3D, cellular processes in large living spheroids, we have built a single-plane illumination microscope in which the light sheet is created by means of a cylindrical lens (Additional file 1). To validate the performance of this setup according to the results obtained by Verveer and collaborators , we first performed 3D imaging of fixed large spheroids (> 400 μm diameter) of the human pancreatic cancer cell line Capan-2 stained with DRAQ5 (Additional file 2). An additional movie file shows this in more details (Additional file 3). Lateral and axial resolutions were high enough to identify clearly all the nuclei of the spheroid up to a depth of 200 μm and we were also able to distinguish condensed chromosomes in mitotic cells. We could then visualize the nuclei in the whole volume of the spheroid by rotating the sample in the SPIM, acquiring z-stack images of various views and subsequently merging them (Additional file 2C). These results show that this set-up is well adapted to image, in 3D, individual cells inside spheroids large enough to include cellular heterogeneity along a proliferative gradient distribution.
Imaging of H2B-HcRed expressing spheroids
DRAQ5 DNA staining is unsuited to imaging proliferation of living cells in MCTS because of its poor ability to penetrate deep layers and its toxicity upon long-term incubation. We therefore produced a cell line (HCT116, a human colon carcinoma) stably expressing a fluorescent reporter protein: a fusion of histone H2B with the far-red fluorescent protein HcRed . Expression of fluorescent fusion proteins with H2B has proven useful to study the fates of cells during development [19–21]. The engineered spheroids retained all the biological characteristics of the parental cell line (data not shown). We selected a clone in which only a subpopulation of cells expressed the H2B-HcRed protein in their nuclei (Figure 1A) thus rendering SPIM imaging and segmentation of large H2B-HcRed-expressing spheroids more manageable. The lateral and axial resolution of SPIM allowed us to identify nuclei in these spheroids up to 200 μm in depth (Figure 1). Nuclei in the whole volume of the spheroid could then be visualized by fusion of two stacks at 0° and 180° (Figure 1D, Additional file 4).
Imaging mitotic cells within spheroids
Mitosis is the phase of the cell cycle when a single cell divides into two daughter cells. During mitosis, the cell's microtubule network is reorganized to form a mitotic spindle that first aligns the duplicated and condensed chromosomes in the centre of the cell and then segregates one set of chromosomes to each pole around which the daughter cell forms. Mitotic cells with condensed chromosomes were easily and clearly identified by SPIM within H2B-HcRed-expressing HCT116 cell spheroids (Figure 2, Additional file 4) by their high fluorescence intensity and the familiar condensed chromosome shape when compared to the round nuclei of the interphase cells (Figure 2A, Additional files 5 and 6). This can be seen in a 3D reconstruction made by using extraction of iso-surfaces of the fluorescence intensity to see individual fluorescent objects in the volume of a region of a z-stack encompassing a mitotic cell (Figure 2B, Additional file 7). These data demonstrate the utility of SPIM imaging for the study of cell division in multicellular 3D tumor models. Numerous gene products involved in progression of mitosis are implicated in tumorigenesis . SPIM provides a means to study the effects of mutations in these genes on, for example, chromosome alignment, the position and orientation of the future cleavage plane and the roles of extrinsic cues such as cell-cell interactions and adhesion to the extracellular matrix taking into account a multicellular context for cancer cells [4, 23, 24].
Time lapse imaging of cell division within spheroids
The low photobleaching and phototoxicity associated with SPIM technology is compatible with imaging living samples of various organisms, as illustrated by the recent work of several groups [15, 19, 25]. Live imaging experiments using SPIM have been performed previously on Drosophila, zebrafish and sea urchin embryos, which do not require strictly controlled environmental conditions. For many model systems, however, tight control of the physiological environment is crucial for live-cell imaging experiments. To examine whether SPIM could be applied to live 3D imaging studies of cell cycle processes in human MCTS, we adapted our SPIM setup to maintain the temperature at 37°C and the atmospheric CO2 at 5% - the conditions required for spheroid growth - for the duration of the time-lapse experiments. We also developed sample holders made from a biocompatible material with a refractive index close to that of water, in which spheroids can grow without mechanical stress so avoiding the regional effects on cell proliferation that are seen with the agarose-embedding procedure commonly used to present samples for SPIM (Additional file 8)[26, 27]. With these improvements, we were able to image in 3D and for several hours H2B-HcRed in the nuclei of cells in spheroids (Figure 3, Additional file 9) and to observe chromosome segregation and cleavage plan orientation (Figure 3, Additional files 10 and 11). Three-dimensional images showing live cell division dynamics and cell behavior in such large multicellular spheroids have not been published previously. These results provide a proof of principle that SPIM can be used to study human cancer cells biology in 3D. Nevertheless, improvements have to be considered concerning the environmental conditions control, sample holding and stack registration over time to optimize the system.
Application of real time SPIM-imaging to anti-cancer drug activity monitoring
To prove fully the potential of 3D time-lapse SPIM, we monitored the effect of an antimitotic drug, paclitaxel, on mitotic dynamics in spheroids. This microtubule-stabilizing agent is widely used in the clinic [28, 29]. Paclitaxel induced a block in mitosis accompanied by continuous dynamic movements of the condensed chromosomes that did not align at the centre of the cell (Figure 3D, additional files 12 and 13). These data demonstrate that 3D dynamic imaging of spheroids by SPIM can be applied to evaluate the activity of putative anti-tumor drugs.
This study demonstrates the feasibility of using SPIM to observe live cell division dynamics in large spheroids that reproduce the cellular organization in tumor micro-regions including cellular heterogeneity, and cell-cell and cell-microenvironment interactions. SPIM studies of the mechanisms controlling cell proliferation within large spheroids should bring invaluable information that cannot be obtained from 2D, monolayer cell culture models. Furthermore, the strategy reported in this study, together with forthcoming development in image analysis, will be of outstanding interest to the study of systemic cancer biology.
The SPIM setup
Additional file 1 shows the selective-plane illumination microscope used in this work. The setup consisted of two horizontal optical axes perpendicular to each other: a light-sheet illumination axis for selective plane excitation and a detection axis. This homemade SPIM setup was equipped with a compact laser launch (Errol, France) comprising the outputs of three DPSS lasers (491 nm, 532 nm and 595 nm) combined with dichroic mirrors into a single multi-wavelength beam. A four-channel acoustico-optical tuneable filter (AOTF) with a separate blanking channel provided precise control over each laser's illumination intensity. The output of the AOTF was coupled into a fibre. The light sheet was obtained by using a cylindrical lens conjugated to an illumination objective (10× NA 0.25). The sample was positioned in the light sheet inside a chamber filled with aqueous medium. The light was collected by means of an immersion objective (10× NA 0.3). The detection objective was fitted into a physiological chamber connected to a filter wheel and a cooled CCD camera (Roper Scientific). The physiological chamber was manufactured by stereolithography of a photosensitive epoxy resin (Cresilas). Movements of the sample holder (x, y, z and rotation) were performed by a fully motorized stage (Physics Instruments), thus allowing multiview imaging. An incubator was fitted above the instrument to control the temperature and CO2 concentration around the sample (PECON controllers). The whole system was fully controlled by AMISPIM software that we developed specifically for this task by using the Labview development environment. This software allows manual or automated control of all the parameters and devices connected to the instrument (three lasers, motorized stage, camera, shutter, filter wheel, temperature monitoring, CO2 control, data acquisition and management).
Spheroid production and staining
Capan-2 pancreatic cancer cells were cultured in DMEM/F12 (Invitrogen, France) containing 10% FCS with 2 mmol/l glutamine and 1% penicillin/streptomycin in a humidified atmosphere of 5% CO2 at 37°C. Spheroids were prepared as previously described . Briefly, 100 μl of a suspension of 10,000 cells/ml in DMEM/F12 supplemented with 2 nM EGF (Invitrogen) and 2% B27 (Invitrogen) was placed in each well of poly-HEMA-coated 96-well plates (10 mg/ml, Sigma). The plates were centrifuged at 200 g for 6 min and then incubated at 37°C. The diameter of the spheroids was measured with a calibrated eyepiece reticule. When the spheroids reached 400 μm in diameter, they were rinsed with PBS and fixed in 4% neutral-buffered formalin (Sigma) for 2-20 h then incubated in DRAQ5 (Ozyme, 1:1000) diluted in PBS, in the presence of RNAse A (Sigma)(1 mg/ml).
We constructed a pcDNA3 plasmid encoding an H2B-tandem HcRed fusion protein and a hygromycin resistance gene. This plasmid was transfected in HCT116 cells (Jet PEI reagent, Polyplus Transfection). One day after transfection, hygromycin (0.2 mg/ml) was added to select cells that had stably incorporated the plasmid. Spheroids from this cell line were obtained as described above.
Fixed sample mounting for SPIM
The spheroid was placed in 1% low-melting-point agarose cooled to 40°C. This mixture was drawn into a 50 μl glass capillary (Sigma) and cooled for few minutes at 4°C. The capillary was then fixed onto the theta-stage and placed in the PBS-filled physiological chamber (Additional file 1). The column of agarose was then extruded from the capillary with an adapted plunger and the agarose-embedded sample was placed in front of the objective lens.
Sample holder preparation for time-lapse data acquisition
Sample holders were made from Phytagel™ (also known as Appliedgel or Gelrite, Sigma), an anionic linear tetrasaccharide that polymerizes into a gel in the presence of salt ions. A 10 g/l solution of Phytagel was prepared in PBS and autoclaved. Prior to use, the Phytagel solution was melted in a microwave then used to fill a tip-less Combitip syringe (1250 μl, Gilson) as described in Additional file 8. The molded chamber obtained was then filled with Optimem (Invitrogen) culture medium containing 10% FCS and 1% penicillin/streptomycin. The spheroid was placed in the molded chamber then fixed to a Combitip from which the tip had been excised (Additional file 8). More information is available at http://www.ip3d.fr/IP3D/SPIM/SPIM.html. This assembly was then placed in the physiological chamber filled with Optimem culture medium containing 10% FCS and penicillin/streptomycin. Prior time-lapse acquisition, the physiological chamber was soaked in bleach solution in order to avoid any contamination. To study the effect of taxol treatment, spheroids were incubated in medium containing 100 nM Paclitaxel (Sigma) for a few hours before time-lapse data acquisition then transferred to sample holders filled with medium containing 100 nM Paclitaxel. The physiological chamber was also filled with the same medium.
A 10× NA 0.3 water immersion lens (Leica) was used to provide suitable working distances for imaging entire spheroids and 3D resolution sufficient to see individual nuclei. Exposure times were 200-500 ms. DRAQ5 or HcRed fluorescence was excited with a 595 nm laser and detected by using a 593 long-pass filter. The voxel size was 0.645 × 0.645 × 1 μm. Live imaging was performed at 37°C and 5% CO2.
Images were processed with the open-source image-processing package Fiji software. Multiviews registration and fusion were performed using the SPIM registration plugin (Additional file 14) . 3D visualization of the fused stacks was obtained by using the 3D stitching and 3D viewer plug-ins. Drift that occurs between the different time points during time-lapse acquisition was compensated by using the TJ shift transform plug-in.
To perform 3D reconstruction, the stripes that impair SPIM images were first removed using a dedicated algorithm. The stripes are modelled as the convolution product of a white noise by an elementary stripe-like pattern. The images are then denoised using a Maximum A Posteriori model, leading to a nonlinear optimization problem. This software is available on demand. The 3D reconstruction of mitotic cells was performed with the IMARIS 7.0.0 software (Bitplane).
Wang F, Hansen RK, Radisky D, Yoneda T, Barcellos-Hoff MH, Petersen OW, Turley EA, Bissell MJ: Phenotypic reversion or death of cancer cells by altering signaling pathways in three-dimensional contexts. Journal of the National Cancer Institute 2002, 94: 1494–1503. 10.1093/jnci/94.19.1494
Wang F, Weaver VM, Petersen OW, Larabell CA, Dedhar S, Briand P, Lupu R, Bissell MJ: Reciprocal interactions between beta1-integrin and epidermal growth factor receptor in three-dimensional basement membrane breast cultures: a different perspective in epithelial biology. Proceedings of the National Academy of Sciences of the United States of America 1998, 95: 14821–14826. 10.1073/pnas.95.25.14821
Minc N, Burgess D, Chang F: Influence of cell geometry on division-plane positioning. Cell 2011, 144: 414–426. 10.1016/j.cell.2011.01.016
Thery M, Racine V, Pepin A, Piel M, Chen Y, Sibarita JB, Bornens M: The extracellular matrix guides the orientation of the cell division axis. Nat Cell Biol 2005, 7: 947–953. 10.1038/ncb1307
Desoize B, Jardillier J: Multicellular resistance: a paradigm for clinical resistance? Critical reviews in oncology/hematology 2000, 36: 193–207. 10.1016/S1040-8428(00)00086-X
Hirschhaeuser F, Menne H, Dittfeld C, West J, Mueller-Klieser W, Kunz-Schughart LA: Multicellular tumor spheroids: an underestimated tool is catching up again. J Biotechnol 2010, 148: 3–15. 10.1016/j.jbiotec.2010.01.012
Sutherland RM: Cell and environment interactions in tumor microregions: the multicell spheroid model. Science (New York, NY) 1988, 240: 177–184. 10.1126/science.2451290
Dubessy C, Merlin JM, Marchal C, Guillemin F: Spheroids in radiobiology and photodynamic therapy. Critical reviews in oncology/hematology 2000, 36: 179–192. 10.1016/S1040-8428(00)00085-8
Lobjois V, Frongia C, Jozan S, Truchet I, Valette A: Cell cycle and apoptotic effects of SAHA are regulated by the cellular microenvironment in HCT116 multicellular tumour spheroids. Eur J Cancer 2009, 45: 2402–2411. 10.1016/j.ejca.2009.05.026
Robertson FM, Ogasawara MA, Ye Z, Chu K, Pickei R, Debeb BG, Woodward WA, Hittelman WN, Cristofanilli M, Barsky SH: Imaging and analysis of 3D tumor spheroids enriched for a cancer stem cell phenotype. Journal of biomolecular screening 2010, 15: 820–829. 10.1177/1087057110376541
Weiswald LB, Guinebretiere JM, Richon S, Bellet D, Saubamea B, Dangles-Marie V: In situ protein expression in tumour spheres: development of an immunostaining protocol for confocal microscopy. BMC Cancer 2010, 10: 106. 10.1186/1471-2407-10-106
Huisken J, Stainier DY: Selective plane illumination microscopy techniques in developmental biology. Development 2009, 136: 1963–1975. 10.1242/dev.022426
Huisken J, Swoger J, Del Bene F, Wittbrodt J, Stelzer EH: Optical sectioning deep inside live embryos by selective plane illumination microscopy. Science (New York, NY) 2004, 305: 1007–1009. 10.1126/science.1100035
Verveer PJ, Swoger J, Pampaloni F, Greger K, Marcello M, Stelzer EH: High-resolution three-dimensional imaging of large specimens with light sheet-based microscopy. Nature methods 2007, 4: 311–313.
Arrenberg AB, Stainier DY, Baier H, Huisken J: Optogenetic control of cardiac function. Science (New York, NY) 2010, 330: 971–974. 10.1126/science.1195929
Preibisch S, Saalfeld S, Schindelin J, Tomancak P: Software for bead-based registration of selective plane illumination microscopy data. Nature methods 2010, 7: 418–419. 10.1038/nmeth0610-418
Pampaloni F, Reynaud EG, Stelzer EH: The third dimension bridges the gap between cell culture and live tissue. Nature reviews 2007, 8: 839–845. 10.1038/nrm2236
Gurskaya NG, Fradkov AF, Terskikh A, Matz MV, Labas YA, Martynov VI, Yanushevich YG, Lukyanov KA, Lukyanov SA: GFP-like chromoproteins as a source of far-red fluorescent proteins. FEBS Lett 2001, 507: 16–20. 10.1016/S0014-5793(01)02930-1
Keller PJ, Schmidt AD, Santella A, Khairy K, Bao Z, Wittbrodt J, Stelzer EH: Fast, high-contrast imaging of animal development with scanned light sheet-based structured-illumination microscopy. Nature methods 2010, 7: 637–642. 10.1038/nmeth.1476
Morin X, Jaouen F, Durbec P: Control of planar divisions by the G-protein regulator LGN maintains progenitors in the chick neuroepithelium. Nat Neurosci 2007, 10: 1440–1448. 10.1038/nn1984
Olivier N, Luengo-Oroz MA, Duloquin L, Faure E, Savy T, Veilleux I, Solinas X, Debarre D, Bourgine P, Santos A, et al.: Cell lineage reconstruction of early zebrafish embryos using label-free nonlinear microscopy. Science (New York, NY) 2010, 329: 967–971. 10.1126/science.1189428
Fang X, Zhang P: Aneuploidy and tumorigenesis. Semin Cell Dev Biol 2011.
Gibson WT, Veldhuis JH, Rubinstein B, Cartwright HN, Perrimon N, Brodland GW, Nagpal R, Gibson MC: Control of the mitotic cleavage plane by local epithelial topology. Cell 2011, 144: 427–438. 10.1016/j.cell.2010.12.035
Pease JC, Tirnauer JS: Mitotic spindle misorientation in cancer--out of alignment and into the fire. Journal of cell science 2011, 124: 1007–1016. 10.1242/jcs.081406
Swoger J, Muzzopappa M, Lopez-Schier H, Sharpe J: 4D retrospective lineage tracing using SPIM for zebrafish organogenesis studies. J Biophotonics 2011, 4: 122–134. 10.1002/jbio.201000087
Cheng G, Tse J, Jain RK, Munn LL: Micro-environmental mechanical stress controls tumor spheroid size and morphology by suppressing proliferation and inducing apoptosis in cancer cells. PLoS One 2009, 4: e4632. 10.1371/journal.pone.0004632
Helmlinger G, Netti PA, Lichtenbeld HC, Melder RJ, Jain RK: Solid stress inhibits the growth of multicellular tumor spheroids. Nat Biotechnol 1997, 15: 778–783. 10.1038/nbt0897-778
Rello-Varona S, Kepp O, Vitale I, Michaud M, Senovilla L, Jemaa M, Joza N, Galluzzi L, Castedo M, Kroemer G: An automated fluorescence videomicroscopy assay for the detection of mitotic catastrophe. Cell Death Dis 2010, 1: e25. 10.1038/cddis.2010.6
Shi J, Orth JD, Mitchison T: Cell type variation in responses to antimitotic drugs that target microtubules and kinesin-5. Cancer research 2008, 68: 3269–3276. 10.1158/0008-5472.CAN-07-6699
Ivascu A, Kubbies M: Rapid generation of single-tumor spheroids for high-throughput cell function and toxicity analysis. Journal of biomolecular screening 2006, 11: 922–932. 10.1177/1087057106292763
We are grateful to the members of our group for discussions and support of this project. We gratefully acknowledge C. Featherstone for manuscript proofreading and suggestions. AM was supported by a grant from the Groupement d'Intérêt Scientifique 'Infrastructure en Biologie Santé et Agronomie'. This work was supported by the CNRS, l'Université Paul Sabatier, la Région Midi-Pyrénées, l'Association pour la Recherche sur le Cancer, le Cancéropôle Grand Sud-Ouest and la fondation InNaBioSanté.
The authors declare that they have no competing interests.
CF, VL and JF carried out imaging experiments. GG contributed the SPIM microscope assembly. AM developed and wrote the AMISPIM software. JF and PW developed dedicated imaging processing.
CL, VL and BD conceived the study, and participated in its design and coordination and helped to draft the manuscript. All authors read and approved the final manuscript.
Electronic supplementary material
Additional file 1: The Selective Plane Illumination Microscopy (SPIM) setup. A: Schematics of the SPIM system. Lateral (B) and top (C) views of the SPIM setup. The green path corresponds to the illumination axis and the perpendicular red path corresponds to the detection axis. The sample is suspended through the theta-stage (θS) in the physiological chamber (PC) and is positioned in the focal plane of the detection objective. It can be moved in the x, y and z axis and rotated (θ axis, blue arrow in c). T: telescope; M: mirror; CL: cylindrical lens; TL: tube lens; IO: illumination objective; PC: physiological chamber; XS: X-stage; YS: Y-stage; ZS: Z-stage, θS: θstage; F and FW: filter wheel. D: The physiological chamber was designed using the Open source Blender software (top) and then manufactured by stereolithography of a photosensitive epoxy resin (bottom). The two tinny holes on the top of the chamber (red circles) allow to inject CO2 directly in the physiological chamber at the surface of the culture medium. (PDF 463 KB)
Additional file 2: SPIM images of a spheroid of Capan-2 human pancreatic cancer cells labelled with DRAQ5™. A: Raw images corresponding to the XY optical sections at the indicated depths inside the spheroid. Scale bar 50 μm. The white arrows show dividing cells located at several cell layers of depth inside the spheroid. B: The XY plane at 130 μm depth is shown with the XZ and ZY planes, parallel to the detection axis, at the Y and X positions indicated by the dashed lines (Scale bar 50 μm). The inserts correspond to the enlargement of the region in the white square on the XY section that displays a mitotic cell. Scale bar 5 μm. The progressive loss of signal observed along the x-axis results from light scattering and absorption by the spheroid that attenuates the light sheet illumination. Horizontal stripes parallel to the light sheet (x-axis) are sample-dependent artifacts specific to SPIM technology. C: 3D visualisation of a multiview reconstruction of four stacks recorded at various angles (0-315°) at incremental steps of 90°. The corresponding stack is shown in Additional file 14. (PDF 139 KB)
Additional file 3: Three-dimensional SPIM imaging of a Capan-2 cell spheroid labelled with DRAQ5™. This movie shows a z-stack of 250 slices at a slice spacing of 1 μm. Arrows show mitotic cells. Laser 595 nm; illumination objective 10× NA = 0.25; detection objective 10× NA = 0.3. Scale bar 50 μm. (AVI 5 MB)
Additional file 6: Three-dimensional visualization of two regions of the stack shown in Additional file 5. Arrows show mitotic cells. This visualization was obtained with the 3D viewer plug-in of Fiji software. (AVI 1 MB)
Additional file 7: 3D reconstruction of a mitotic cell inside an H2B-HcRed-expressing spheroid. Visualization of the 3D reconstruction of the stack shown in the right part of the Additional file 6 (blue isosurfaces, interphase nuclei; red isosurfaces, mitotic condensed chromosomes). (AVI 7 MB)
Additional file 10: 3D visualization of the division of two cells. Three-dimensional visualization of an enlarged region of Additional file 9 showing the progress of two cells through mitosis. This visualization was obtained with the 3D viewer plug-in of Fiji software. Arrows show the two dividing cells. (AVI 254 KB)
Additional file 12: SPIM imaging of a live H2B-HcRed-expressing spheroid treated with Paclitaxel. Z-stacks of 200 slices at slice spacing of 1 μm were recorded every three minutes. For each time point, the maximum projection of an enlarged region of each stack is shown (10× objective, NA = 0.3). Arrows indicate mitotic cells. (AVI 193 KB)
About this article
Cite this article
Lorenzo, C., Frongia, C., Jorand, R. et al. Live cell division dynamics monitoring in 3D large spheroid tumor models using light sheet microscopy. Cell Div 6, 22 (2011). https://doi.org/10.1186/1747-1028-6-22
- Light Sheet
- Condensed Chromosome
- Human Pancreatic Cancer Cell Line
- Multicellular Tumor Spheroid
- Antimitotic Drug