Method Article
Here, we present several simple methods for evaluating viability and death in 3D cancer cell spheroids, which mimic the physico-chemical gradients of in vivo tumors much better than the 2D culture. The spheroid model, therefore, allows evaluation of the cancer drug efficacy with improved translation to in vivo conditions.
Three-dimensional spheroids of cancer cells are important tools for both cancer drug screens and for gaining mechanistic insight into cancer cell biology. The power of this preparation lies in its ability to mimic many aspects of the in vivo conditions of tumors while being fast, cheap, and versatile enough to allow relatively high-throughput screening. The spheroid culture conditions can recapitulate the physico-chemical gradients in a tumor, including the increasing extracellular acidity, increased lactate, and decreasing glucose and oxygen availability, from the spheroid periphery to its core. Also, the mechanical properties and cell-cell interactions of in vivo tumors are in part mimicked by this model. The specific properties and consequently the optimal growth conditions, of 3D spheroids, differ widely between different types of cancer cells. Furthermore, the assessment of cell viability and death in 3D spheroids requires methods that differ in part from those employed for 2D cultures. Here we describe several protocols for preparing 3D spheroids of cancer cells, and for using such cultures to assess cell viability and death in the context of evaluating the efficacy of anticancer drugs.
The use of multicellular spheroid models in cancer biology is several decades old1,2, but has gained substantial momentum in recent years. In large part, this reflects increased awareness of how strongly the phenotype of cancer cells is dependent on their microenvironment and specific growth conditions. The microenvironment in solid tumors is fundamentally different from that in corresponding normal tissues. This includes physico-chemical conditions such as pH, oxygen tension, as well as interstitial pressure, concentration gradients of soluble factors such as nutrients, waste products, and secreted signaling compounds (growth factors, cytokines). Furthermore, it includes the organization of the extracellular matrix (ECM), cell-cell interactions and intercellular signaling, and other aspects of the particular three-dimensional (3D) architecture of the tumor3,4,5,6. The specific microenvironmental conditions in which cancer cells exist, profoundly affect their gene expression profile and functional properties, and it is clear that, compared to that of cells grown in 2D, the phenotype of 3D spheroids much more closely mimics that of in vivo tumors7,8,9,10,11. 2D models, even if they employ hypoxia, acidic pH, and high lactate concentrations to mimic known aspects of the tumor microenvironment, still fail to capture the gradients of physico-chemical parameters arising within tumors, as well as their 3D tumor architecture. On the other hand, animal models are costly, slow, and ethically problematic, and generally, also have shortcomings in their ability to recapitulate human tumor conditions. Consequently, 3D spheroids have been applied as an intermediate complexity model in studies of a wide range of properties of most solid cancers9,11,12,13,14,15,16,17.
A widely employed use of 3D spheroids is in screening assays of anticancer therapy efficacy9,18,19,20. Treatment responses are particularly sensitive to the tumor microenvironment, reflecting both the impact of the tortuosity, restricted diffusion, high interstitial pressure, and acidic environmental pH on drug delivery, and the impact of hypoxia and other aspects of the microenvironment on the cell death response9,17. Because the environment within 3D spheroids inherently develops all of these properties7,8,9,10,11, employing 3D cell cultures can substantially improve the translation of results to in vivo conditions, yet allow efficient and affordable high-throughput screening of the net growth. However, the great majority of studies on the drug response of cancer cells are still carried out under 2D conditions. This likely reflects that, while some assays can relatively easily be implemented for 3D cell cultures, many, such as viability assays, western blotting, and immunofluorescence analysis, are much more conveniently done in 2D than in 3D.
The aim of the present work is to provide easily amenable assays and precise protocols for analyses of the effect of treatment with anti-cancer drugs on cancer cell viability and survival in a 3D tumor mimicking setting. Specifically, we provide and compare three different methods for spheroid formation, followed by methods for qualitative and quantitative analyses of growth, viability and drug response.
1. Generation of Spheroids
2. Drug Treatment of Spheroids
NOTE: Long-term drug treatment can be applied to the spheroids in order to screen for effects of a drug of interest. Before initiating the drug treatment, it is advisable to perform a dose response experiment of the drug(s), in order to find an appropriate dose for the experimental treatment. The doses should be based on the determined IC50/Ki of the drug and range from around 0.2x-10x of this value.
3. Cell Viability Assay for Spheroids
4. Preparing Protein Lysates for Western Blotting from 3D Spheroid Cultures
NOTE: When collecting the spheroids, it is advisable to use a P200 pipette and cut the end of the tip to allow a bigger opening and hence an easier capture of the spheroids without disturbing their structure.
5. Propidium Iodide (PI) Staining of Spheroids
6. Embedding of 3D Spheroids
Spheroid growth assays based on the spheroid formation protocol schematically illustrated in Figure 1A and Figure 1B, were used as a starting point for analysis of the effects of anti-cancer drug treatments in a 3D tumor mimicking setting. The ease with which spheroids are formed is cell line specific, and some cell lines require supplementation with rBM in order to form coherent spheroids22. The concentration of rBM added can profoundly affect the morphology of the spheroids. As shown in Figure 1C and Figure 1D, varying the concentration of rBM between 0 and 4% alters the compactness and morphology of the spheroids in a cell type dependent manner. Figure 1C demonstrates how the addition of up to 2.5% rBM allows spheroid formation in SKBr-3 breast cancer cells, with no further effect at concentrations above 2.5% rBM. In contrast, BxPC3 pancreatic ductal adenocarcinoma (PDAC) cells, which exhibit an epithelial morphology, spontaneously form small, compact spheroids (Figure 1D, upper, left panel). In this cell type, increasing rBM concentration to 1.5% or above elicits a distinct morphological change from spheroid to more convoluted structures with protrusions and invaginations, reminiscent of ductal tubular structure formation. Conversely, the addition of rBM to two other PDAC cell lines, MiaPaCa and Panc-1, which have a more mesenchymal phenotype, allows the loose cellular aggregates to become tighter and form more compact spheroids (Figure 1D, middle and lower panels). These results show that the precise amount of rBM resulting in optimal spheroid formation must be titrated for each cell line and condition.
A quantitative assessment of cell viability within the spheroids upon drug treatment was necessary to evaluate the effect of anti-cancer drug treatments. The assay described here is a luciferin-luciferase-based assay, which measures ATP released from live cells within spheroids. The principle of the assay is illustrated in Figure 2A. The luminescent signal generated in this assay is easily recorded by a plate reader (Figure 2A) and correlates well with viability measured by other methods23. The linear relation between ATP concentration and luminescence in the relevant concentration range is shown in Figure 2B, while Figure 2C shows the ability of the assay to assess cell death in 3D spheroids treated with anti-cancer therapy. In order to further evaluate the linearity of the assay in the relevant range, experiments to establish standard curves of the luminescent signal as a function of the number of cells were carried out (Figure 2D and Figure 2E). These results indicate that the assay is suitable for estimating cell viability in 3D spheroid cultures and that it is applicable for investigating drug-induced loss of cell viability.
A combination of light microscopic images acquired every two to three days, during the treatment period and a final quantitative assessment of cell viability allows close supervision of spheroid growth and morphology as well as the assessment of optimal treatment dose. The latter is exemplified in Figure 3A and Figure 3B, where a dose-response experiment was performed to determine the dose necessary for 50% reduced cell viability in MDA-MB-231 breast cancer spheroids. Treatment effects on spheroid morphology are visualized in Figure 3C and Figure 3D for MDA-MB-231 and MCF-7 spheroids, respectively. During treatment with the chosen chemotherapeutic cocktail, the compactness of MDA-MB-231 spheroids increases, while during treatment with tamoxifen, MCF-7 spheroids become increasingly frayed and uneven. In both cases, a clear drop in cell viability is visible after 7 (MDA-MB-231) or 9 (MCF-7) days of treatment (Figure 3E and Figure 3F). This demonstrates the need for both a visual and a quantitative assessment of treatment-mediated effects on spheroid cell viability and morphology as well as that these parameters are highly cell- and treatment-type specific.
As a supplement to the cell viability assay, staining of dead cells with PI, which cannot cross the membrane and therefore only stains necrotic or late apoptotic cells with compromised membrane integrity, allows for a quick spatial evaluation of dead cells in response to treatment, without the time-consuming protocol of embedding, sectioning and IHC. As illustrated in Figure 4A the spatial arrangement of dead cells upon an increasing concentration of an inhibitor, in this case, the Na+/H+ exchanger 1 (NHE1) inhibitor 5-(N-ethyl-N-isopropyl)-amiloride (EIPA), can be visualized. As seen, control spheroids show a limited necrotic/late apoptotic core, whereas the dead cells are distributed throughout the spheroid as the concentration of EIPA is increased.
In order to quantify the relative induction of apoptotic stress following different treatments, spheroids were lysed and subjected to SDS-PAGE gel electrophoresis and western blotting for full-length and cleaved poly (ADP-ribose) polymerase (PARP). Representative results are shown in Figure 4B and Figure 4C. In this experiment, spheroids were prepared from MDA-MB-231 cells in which the lactate-proton cotransporter MCT4 or the Na+, HCO3- cotransporter NBCn1 were knocked down using siRNA. The knockdown was evaluated by western blotting for MCT4 and NBCn1 (unpublished data). As seen, the knockdown of MCT4, but not of NBCn1, robustly increases PARP cleavage, consistent with our previous demonstration that stable knockdown of MCT4 in MDA-MB-231 cells decreases tumor growth in vivo24.
To further analyze the effects of treatment and obtain information on the specific signaling-, growth arrest, and death pathways activated, the spheroids can in addition to western blot analysis be embedded and subjected to immunohistochemistry (IHC) analysis. IHC analysis of the spheroid sections allows the use of specific antibodies or markers of cell proliferation, cell cycle and programmed cell death, and facilitates a visualization of the spatial arrangement of proliferative and apoptotic cells in the spheroid.
A schematic figure of the embedding protocol for IHC analysis of spheroids is presented in Figure 5A. A representative light microscopic image of an approx. 3 µm thick microtome section of an embedded spheroid is shown in Figure 5B, and an immunofluorescence image of a spheroid stained for the tumor suppressor protein p53 (nuclei stained using DAPI), is shown as Figure 5C. Examples of DMSO and chemotherapy-treated spheroids stained for the cell proliferation marker Ki-67 or for p53 are shown in Figure 5D and Figure 5E, respectively. Consistent with the antiproliferative effect of the chemotherapy treatment, the number of Ki-67 positive cells are greater in the DMSO control than in the chemotherapy-treated spheroid (Figure 5D). In contrast, p53 expression is increased during conditions of cell stress, apoptosis and growth arrest, and consequently, the number of p53-stained cells is substantially higher in the chemotherapy-treated spheroids compared to DMSO controls (Figure 5E).
These results illustrate examples of how spatially resolved (PI staining, IHC) or quantitative (western blotting) information on drug treatment effects in 3D spheroids can be obtained.
Figure 1: Spontaneous and rBM-mediated spheroid formation. (A) Schematic representation of spheroid formation using ultra-low attachment 96-well round bottom plates, with optional use of rBM. Individual steps marked by (i-iii). (B) Schematic representation of spheroid formation using the hanging drop method. Individual steps are marked by (i-iii) (C) Representative images of rBM-mediated spheroid formation of SKBr-3 cells. Cells were seeded in ultra-low attachment 96-well round bottom plates with increasing concentrations of rBM and grown for 9 days. Scale bar 100 µm. (n=3). (D) Representative images of BxPC-3, MiaPaCa and Panc-1 cells seeded for spheroid formation in ultra-low attachment 96-well round bottom plates with concentrations of rBM from 0.5-2.5 %. Spheroids were grown for 4 days. Scale bar = 250 µm. (n=3). Please click here to view a larger version of this figure.
Figure 2: Principle and evaluation of the cell viability assay. (A) Schematic representation of the 3D cell viability assay. Individual steps denoted by (i-iv). (B) Luminescent signal as a function of ATP concentration. Dilutions of ATP were plated in a 96-well plate and cell viability reagent added to each well. Luminescence was recorded after 30 min at 405 nm. 1 n. (C) Viability, measured as luminescence, of control and chemotherapy-treated MCF-7 spheroids. MCF-7 cells were seeded in ultra-low attachment round-bottom plates and were grown for 7 days. Chemotherapy treatment (5 μM Cisplatin, 5 μM Doxorubicin and 30 nM 5-FU) was applied on day 2 and 4. Bars represent mean values with SD. 1 n. (D) Luminescent signal as function of the number of MCF-7 cells seeded. MCF-7 cells were seeded in 96-well plates at the indicated cell number and allowed to grow for 48 h, after which cell viability was measured. Error bars represent SD. 1 n. (E) As described in D for MDA-MB-231 cells. Please click here to view a larger version of this figure.
Figure 3: Effects of treatment regimens on spheroid morphology and cell viability. (A) Representative images of MDA-MB-231 spheroids on day 2, 4 and 7. MDA-MB-231 cells were seeded in ultra-low attachment round bottom 96-well plates. Treatment with increasing doses of chemotherapy was started on day 2, at which time all spheroids were of similar size. Rows show spheroids at increasing doses of chemotherapy, and columns show spheroids representative of size at day 2, 4, and 7 at the indicated dose. The lowest dose was 18.75 nM Cisplatin, 18.75 nM Doxorubicin, 0.0625 nM 5-Fluorouracil (5-FU) and this dose was doubled for each image shown, resulting in a maximal dose of 0.3 µM Cisplatin, 0.3 µM Doxorubicin and 2 nM 5-FU. Scale bar = 100 µm. (2 n). (B) Viability of MDA-MB-231 spheroids, measured as luminescence, after 7 days of chemotherapeutic treatment. The bars represent mean values with SEM. 2 n. (C,D) Representative images of MDA-MB-231 (C) and MCF-7 spheroids (D) on day 2, 4, 7 and for MCF-7 spheroids 9. Cells seeded as in (A) and treated with either chemotherapy (Chemo, 18.75 nM Cisplatin, 18.75 nM Doxorubicin, 0.0625 nM 5-FU) on day 2 and 4 (C) or with 2 µM Tamoxifen (Tam) on day 2, 4 and 7 (D). Scale bar = 100 µm. (4 n and 3 n), respectively. (E,F) Viability, measured as luminescence, on day 7 and 9 for (C) and (D), respectively. To test for statistically significant difference between conditions an unpaired Student’s t-test was performed. **** denotes p < 0.0001. Please click here to view a larger version of this figure.
Figure 4: Propidium iodide staining and western blot analysis of spheroids. (A) Representative images of PI-stained MCF-7 spheroids after 9 days of treatment. MCF-7 cells were seeded in ultra-low attachment 96-well plates grown for 9 days and treated with increasing concentrations of EIPA on day 2, 4 and 7. On day 9, the spheroids were stained with PI and images were acquired on an epifluorescence microscope. Scale bar = 200 µm. (1 n.) (B) Representative western blots of MDA-MB-231 cells after knockout/knockdown of acid-base transporters. NHE1 was knocked out by CRISPR/Cas9 in MDA-MB-231 cells 12 and the cells were subsequently transiently transfected with siRNA against MCT4 or NBCn1, and grown as spheroids for 9 days before being lysed and subjected to western blotting using an antibody recognizing total and cleaved (c)PARP. (C) Quantification of the ratio of cPARP to PARP protein level, normalized to loading control (β-actin). (1 n). Please click here to view a larger version of this figure.
Figure 5: Fixing, embedding and immunohistochemistry analysis of spheroids. (A) Schematic representation of the protocol for embedding of spheroids. Individual steps are marked as (i-vii). (B) Image of embedded MDA-MB-231 spheroid. Scale bar: 50 µm. (C) Representative image of chemotherapy-treated MDA-MB-231 spheroid subjected to IHC analysis with antibodies against p-53. Dashed lines show the circumference of the spheroid. Scale bar = 20 µm. (D,E) Representative images of DMSO- or chemotherapy-treated (upper and lower panels, respectively) MDA-MB-231 spheroids. MDA-MB-231 cells were seeded in ultra-low attachment 96-well plates, grown for 7 days and treated with chemotherapy on day 2 and 4. On day 7, the spheroids were embedded followed by analysis by IHC with primary antibodies against Ki-67 (D) and p53 (E). White boxes represent zoom images. Scale bar = 20 µm in both magnifications, (n=3). Please click here to view a larger version of this figure.
The use of 3D cancer cell spheroids has proven a valuable and versatile tool not only for anticancer drug screening, but also for gaining mechanistic insight into the regulation of cancer cell death and viability under conditions mimicking those in the tumor microenvironment. This is particularly crucial as the accessibility, cellular uptake, and intracellular effects of chemotherapeutic drugs are profoundly impacted by the physico-chemical conditions in the tumor, including pH, oxygen tension, tortuosity, and physical and chemical cell-cell interactions9,17. For example, the acidity of extracellular pH, which can reach values as low as 6-6.5 in many solid tumors25,26,27,28,29, causes weakly basic chemotherapeutic compounds, such as doxorubicin, mitoxantrone and the zwitterion paclitaxel, to be charged. This reduces their uptake into the tumor cells and can influence the activity of multidrug resistance proteins such as p-glycoprotein30,31,32. Also the cell proliferation, which is pivotal to the effect of most chemotherapeutic compounds, is generally reduced in 3D compared to 2D conditions and hence is likely better mimicked in tumor spheroids than in 2D cell culture8,33,34. Finally, the dense tumor microenvironment is the origin of numerous physical and soluble signaling cues directing intracellular signaling pathways regulating cell growth, survival and death. Thus, when analyzing drug efficacy, 3D culture systems are a pivotal step before embarking on in vivo models. A major drawback of 3D culture is, however, the increased complexity of analysis compared to that of 2D culture. We have described here simple and relatively inexpensive techniques for spheroid formation using a variety of cancer cell types. We have shown examples of how spheroid formation must be optimized for each cell type studied and have described how to obtain quantitative data on cell viability, cell death, and associated signaling pathways, in such spheroids. There is no obvious growth- or morphological differences between the three models described here. In our hands, the variation in morphology may be slightly greater using the hanging drop method, yet an advantage of this method is that rBM is not needed. We have focused here on spheroids produced from a single cancer cell type. The spheroid model is, however, also amenable to co-culture, for instance of cancer cells with fibroblasts, monocytes/macrophages, endothelial cells, and/or adipocytes35,36,37. Other advanced applications of this model include the combination with 3D printed fluidic devices allowing dosing through a semipermeable membrane, followed by harvesting for quantitative proteomic profiling38.
While, as noted above, the phenotype of cells grown in 3D spheroids generally mimics that of in vivo tumors much better than do cells grown in 2D, the extent to which such spheroids are in fact relevant models of the corresponding in vivo tumors is dependent on numerous factors and has to be carefully evaluated. Parameters which will impact how well such spheroids mimic the in vivo condition include the cellular composition of the tumor and its relative ECM composition. For instance, the rBM which we have employed as ECM in the protocols provided here is a good choice for mimicking early stages of epithelial cancers, around the time of breaching the basement membrane, other ECM compositions will be more relevant for certain tumor types and -stages. Furthermore, the capacity for cell-cell adhesion differs widely between cancer cell lines, depending on their expression of cell-cell and cell-matrix adhesion proteins such as cadherins and integrins22.
As described here, spheroid growth and morphology can easily and non-invasively be monitored every 2-3 days using a light microscope with low magnification optics and a large field of view. However, because the cytotoxic stress, such as chemotherapy treatment, affects spheroid morphology very differently and, in a manner, depending on the cell type and treatment scheme, it is not enough to rely on the morphology and circumference alone for evaluating treatment effect. For instance, spheroids may become looser with treatment and emerging cell death, or all death may occur in the necrotic core, while the surface is not detectably affected. In both cases, the result may be an erroneous impression that the number of live cells in the spheroid is not reduced by the treatment. Quantitative- and whole-spheroid techniques are therefore essential for evaluating treatment effect. For quantitative evaluation of cell death, the acid phosphatase assay, which as the name implies measures the activity of cytosolic acid phosphatase has been employed21. However, in our hands, while this assay generally nicely reflects the number of cells seeded, it does not adequately capture rapid treatment-induced cell death (data not shown), likely because the acid phosphatase remains active for some time after cell death. Furthermore, this assay requires complete removal of the medium, which increases error especially with fragile, chemotherapy-treated spheroids. The cell viability assay described here, which is based on cellular ATP content, was chosen based on its simple and time efficient protocol and high reproducibility. Furthermore, this assay does not require complete removal of culture medium which is an advantage when working with spheroids. As shown in representative results, this assay captures well both cell number and expected chemotherapy treatment effects. However, a pitfall of this technique is, obviously, that metabolic changes reducing intracellular ATP content may erroneously be recorded as a lower cell number. Hence, parallel assessment of spheroid volume and morphology, or PI staining, is advisable to validate results.
Spheroid lysis followed by western blotting can provide semi-quantitative insight into the state of signaling processes, cell death-, growth- and viability pathways. The use of western blotting is complicated when rBM is used to prepare the spheroids, since this will comprise a substantial fraction of the lysate protein content, and more importantly, its fractional contribution will increase with decreasing cellular content during chemotherapeutic cell death. It is in principle possible to remove the rBM by centrifugation; however, this is a critical step, as it is difficult to completely remove all rBM, and this will preclude quantitative comparison between conditions. For such spheroids, and in general for spatially resolved assessment of death pathways and relevant signaling parameters, embedding and IHC are strong tools. Other approaches may be considered: live confocal imaging of (relatively small) intact spheroids39. Another interesting property of spheroids is that given their rather regular "ball" shape, they lend themselves well to iteration between mathematical modeling and wet lab experiments, to increase the understanding of the importance of the above-mentioned gradients of oxygen, pH, and nutrients within spheroids, and, by extrapolation, tumors40,41. Thus, although important 3D tumor models of much greater complexity are emerging, including a wide range of organotypic and organoid cultures based on complex biological as well as inert scaffolds, and, not least, patient-derived xenografts42, spheroids remain an important tool because of their superior biological relevance compared to 2D culture, combined with relative ease of handling.
In summary, we present here a series of simple methods for analysis of anti-cancer treatment-induced changes in cancer cell viability and death in 3D culture. The composition of the spheroids can be modified depending on the properties and biology of the cells employed, and the quantitative and qualitative analyses presented are useful both for assessing dose-response relationships and for gaining insight into the signaling- and death pathways involved.
The authors declare no conflict of interest.
We are grateful to Katrine Franklin Mark and Annette Bartels for excellent technical assistance and to Asbjørn Nøhr-Nielsen for performing the experiments in Figure 1D. This work was funded by the Einar Willumsen Foundation, the Novo Nordisk Foundation, and Fondation Juchum (all to SFP).
Name | Company | Catalog Number | Comments |
2-(4-amidinophenyl)-1H-indole-6-carboxamidine (DAPI) | Invitrogen | # C10595 | For staining nuclei |
5-Fluorouracil (5-FU) | Sigma-Aldrich | #F6627 | Component in chemotherapeutic treatment |
5-(N-ethyl-isopropyl) amiloride (EIPA) | Life Technologies | #E3111 | Inhibitor of NHE1 |
Antibody against PARP and cPARP | Cell signaling | #9542 | Used in western blotting |
Antibody against Ki-67 | Cell signaling | #9449 | Used for IHC |
Antibody against p53 | Cell Signaling | #2524 | Used for IHC |
Antibody against β-actin | Sigma | A5441 | Used in western blotting |
Bactoagar | BD Bioscience | #214010 | Used for agarose gel preparation |
Benchmark protein ladder | Invitrogen | #10747-012 | Used for SDS-PAGE |
Bio-Rad DC Protein Assay kit | Bio-Rad Laboratories | #500-0113, #500-0114, #500-0115 | Used for protein determination from lysates |
Bürker chamber | Marienfeld | 610311 | For cell counting |
BX63 epifluoresence microscope | Olympus | Used for fluorescent imaging | |
CellTiter-Glo 3D Cell Viability Assay | Promega | #G9681 | Used for the cell viability assay |
Cisplatin | Sigma-Aldrich | #P4394 | Component in chemotherapeutic treatment |
Corning Spheroid Microplate, 96 well, Black with clear round bottom, Ultra-low attachment, With lid, Sterile | Corning | #4520 | Used for growing spheroids with luminescence measurements as end point |
Corning 96 well, clear round bottom, Ultra-low attachment microplate, With lid, Sterile | Corning | #7007 | Sufficient for spheroid growth without luminescence measurements as end point |
Criterion TGX Precast Gels | Bio-Rad | 5671025 | Used for SDS-PAGE |
Doxorubicin | Abcam | #120629 | Component in chemotherapeutic treatment |
FLUOStar Optima Microplate reader | BMG Labtech | Used for recording luminescence | |
Formaldehyde | VWR Chemicals | #9713.1000 | Used for cell fixation |
Geltrex LDEV-Free Reduced Growth Factor Basement Membrane Matrix | Gibco | #A1413202 | Keep at 4 °C to prevent solidification. Referred to as rBM in the protocol. |
Heat-inactivated FBS | Sigma | #F9665 | Serum for growth media |
ImageJ | NIH | Scientific Image analysis | |
Medim Uni-safe casette | Medim Histotechnologie | 10-0114 | Used for storage of embedded spheroids |
Mini protease inhibitor cocktail tablets | Roche Diagnostics GmBH | # 11836153001 | Used for lysis buffer preparation |
MZ16 microscope | Leica | Used for light microscopic images | |
NuPAGE LDS 4x Sample Buffer | Invitrogen | #NP0007 | Used for western blotting |
Pierce ECL Western blotting substrate | Thermo scientific | #32106 | Used for western blotting |
Ponceau S | Sigma-Aldrich | #P7170-1L | Used for protein band staining |
Prism 6.0 | Graphpad | Scientific graphing and statistical software | |
Propidium iodide (1mg/ml solution in water) | Invitrogen | P3566 | Light sensitive |
Sterile reservoirs, multichannel | SPL lifesciences | 21002 | Used for seeding cells for spheroid formation |
Superfrost Ultra-Plus Adhesion slide | Menzel-Gläser | #J3800AMNZ | Microscope glass slide used for embedding |
Tamoxifen | Sigma-Aldrich | #T5648 | Used as chemotherapeutic treatment |
Trans-blot Turbo 0.2 µm nitrocellulose membranes | Bio-Rad | #170-4159 | Used for western blotting |
Tris/Glycine/SDS running buffer | Bio-Rad | #161 0732 | Used for SDS-PAGE |
Trypsin-EDTA solution | Sigma | #T4174 | Cell dissociation enzyme |
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