Thomas S. Villani1, Graeme Gradner1, Michael T. Johnson1, Hilary Sherman2, Ann Rossi2
1Visikol Inc., 2Corning Inc.
The use of three-dimensional (3D) cell cultures for in vitro drug discovery assays has increased dramatically in recent years because 3D cell culture models more accurately mimic the in vivo environment compared to traditional two-dimensional (2D) monolayer cultures. However, current imaging-based analysis of these 3D cultures relies upon techniques originally developed for 2D cell culture, and as such, has significant limitations. Specifically, the light scattering inherent with thick microscopy specimens prevents imaging the entirety of a 3D spheroid, which are typically >100 µm in diameter. This technical limitation introduces a sampling bias in imaging analysis in which only the exterior cells of a spheroid can be imaged. To accurately survey the cellular environment and response of the spheroid, the field needs new techniques to overcome the sampling bias.
Accordingly, we sought to remedy the light scattering caused by 3D spheroid opacity by employing an optical clearing agent designed specifically for spheroids, Visikol® HISTO-M™. Here, we demonstrate the utility of Visikol HISTO-M tissue clearing with HepG2 spheroids generated in Corning 96-well spheroid microplates in a high-content screening approach.
HepG2 cells were routinely cultured in DMEM supplemented with 10% FBS. To form spheroids, HepG2 (1 x 103 cells/well) were seeded into wells of 96-well spheroid microplates and incubated in a humified incubator in 5% CO2 at 37°C for 2 days.
A 1 mM stock solution of the antiproliferative compound paclitaxel was prepared in DMSO. Working solutions (100X) were prepared as 10-fold serial dilutions of the DMSO stock and then diluted to final assay concentration (1 µM, 500 nM, 100 nM, 10 nM, 1 nM) in growth media. Spheroids were treated with paclitaxel on day 0 and again on day 3.
On day 5, spheroids were fixed in situ using 10% neutral buffered formalin, followed by washing in phosphate-buffered saline (PBS) to remove fixative. Spheroids were permeabilized with methanol, followed by 20% DMSO/methanol to improve penetration of antibodies and stains and then blocked in 10% donkey serum. Spheroids were incubated in 1:150 rabbit anti-Ki67 antibody to label proliferating cells followed by Alexa Fluor® 488 conjugated Anti Rabbit IgG secondary. Nuclei were stained with DAPI.
Spheroids were cleared with Visikol HISTO-M. Briefly, this is accomplished through dehydration of the spheroids by exchange with methanol (200 µL/well for 15 min.) and subsequent exchange and transfer to the one-step immersion clearing formula, HISTO-M, for immersion clearing (200 µL/well for 30 min.). Spheroids were imaged in HISTO-M in the spheroid microplate with an IN Cell Analyzer 6000 (Cytiva). Z-stacks (~150 μm) were collected at 10X magnification in 5 µm steps. Images were processed using ImageJ, and DAPI+ and Ki67+ cells were counted using CellProfiler.
Figure 1A (top rows) feature images representative of the obstacles encountered when imaging 3D cell cultures. The interior of the spheroid appears dark, as light scattering drastically reduces fluorescence signal due to the opacity of the spheroids. Signal is only detected from the outermost cells of the spheroid. In contrast, light scattering was greatly reduced by using Visikol HISTO-M clearing agent, as evidenced by more visible nuclear fluorescence in the cleared spheroids (Figure 1A, bottom rows). This allows for comprehensive profiling of the interior of the spheroids.
CellProfiler was used for automated cell counting of the confocal image stacks. The data presented in Figure 1B quantifies the problems inherent with imaging non-cleared spheroids. As the image stack progresses through the non-cleared spheroid, fewer and fewer cells are detected in each plane, until only the periphery is detectable. Light scattering caused by the opacity of non-cleared spheroids limits imaging to approximately 20 to 50 µm, even with confocal microscopy. By clearing the spheroids, cells are detectable across the entire image plane, deep into the spheroid. On average, 3-fold more cells were detected on each plane of the cleared spheroid than the non-cleared spheroid (Figure 1B). The effect is more dramatic deeper in the spheroid; at 120 µm, 7-fold more cells were detectable.
Control and paclitaxel-treated spheroids were imaged as above, and cell proliferation was measured as the ratio of Ki67+/DAPI+ cells to total cells (Ki67%). Dose response curves were constructed for non-cleared and cleared spheroids (Figure 2) to demonstrate the effect of spheroid resolution on proliferation assessment. Not surprisingly, there was a significant difference between the dose response curves constructed from non-cleared and cleared spheroids. The higher apparent Ki67% in non-cleared spheroids relative to cleared spheroids (Figure 2A) suggested that the outermost layer of cells, which were the only detectable cells in non-cleared spheroids, had higher levels of proliferation than the inner population. As a consequence, proliferation inhibition in non-cleared spheroids is artificially shifted towards higher paclitaxel concentrations due to the sampling bias. In fact, the Visikol HISTO-M cleared samples showed increased sensitivity in detecting inhibitory activity with significant inhibition detected at 1 nM paclitaxel compared to 100 nM required to detect signal for non-cleared control samples (Figure 2B). The IC50 value measured for spheroids cleared with Visikol® HISTO-M (7.01 nM) was approximately 4X lower than calculated with non-cleared control samples (29.6 nM). The increased sensitivity in cleared samples can be attributed to detection of inhibitory effects in cleared spheroids that would be obscured from detection without tissue clearing. Therefore, tissue clearing with Visikol HISTO-M eliminates the sampling bias to yield data more representative of the entire spheroid and potentially more physiological.
Figure 1. Representative montage of 20 µM slices from confocal Z-stack of DAPI-stained spheroid. (A) Non-cleared (top rows) and cleared (bottom rows) spheroids. Scale bar = 300 µM. (B) Number of cells detected at various Z-depth through non-cleared (orange) and cleared (blue) HepG2 spheroids.
Figure 2. Ki67% dose response curves for non-cleared (orange) and cleared (blue) HepG2 spheroids. (A) Absolute Ki67% dose response curve for paclitaxel-treated HepG2 spheroids. (B) Normalized dose response curves showing Ki67% for paclitaxel-treated HepG2 spheroids with respect to vehicle treatment. Mean ± SD, N = 4. * p<0.01 via one-way ANOVA.
By sampling the entire spheroid, additional downstream analysis of microenvironments within the 3D structure is made possible. Data obtained from cleared spheroids can be segregated into groups based upon distance from the center of the spheroid to generate site-specific dose response curves. This allows for the investigation of potential differential response in cell proliferation due to different cellular microenvironments. In the current study, this was accomplished by calculating the center point of each
of the Ki67+ nuclei detected. The center point of each spheroid was calculated as the average coordinates of the DAPI+ nuclei center points. The data were then grouped according to relative distance of each cell to the center, segregating cells into 3 concentric shells: the outer third (furthest from the center), the middle third, and inner core of cells. These data were then used to construct the spatial dose response curves shown in Figure 3.
There was a significant difference in the cell proliferation levels between the three shells of cells in vehicle and paclitaxel-treated spheroids. Consistent with the data in Figure 3, the outermost cells exhibited the highest level of cell proliferation in vehicle control (~40% cells were Ki67+). These cells demonstrated a significant sensitivity to treatment with paclitaxel, showing almost complete inhibition of cell proliferation at 100 nM paclitaxel treatment. The middle shell of cells had lower basal cell proliferation (Figure 3A), but also showed significant sensitivity to paclitaxel treatment. The innermost population of cells presented with the lowest baseline proliferation level. Interestingly, there was a significant increase in cell proliferation in the innermost population of cells with 1 nM paclitaxel treatment (Figure 3B). This is presumably due to the death of cells at the outer layers revealing new channels for nutrients and stimulating growth in otherwise quiescent cells. Nevertheless, it is clear from these results that the ability to detect differences in the effect of anti-proliferative agents in different subpopulations of cells with in 3D spheroids is a valuable tool for profiling drug effects.
Figure 3. Spatial dose response curves for Ki67% measured in HepG2 spheroids. (A) Absolute Ki67% dose response curves for three populations of cells in paclitaxel-treated HepG2 spheroids. (B) Dose response curves showing Ki67% with respect to vehicle Ki67% for three populations of cells in paclitaxel-treated HepG2 spheroids. Mean ± SD, N = 4. * p<0.01 via one-way ANOVA.
Traditional flat-bottom fluorescent assay microplates suffer from two major drawbacks. First, spheroids cannot be cultured directly in the assay plate which necessitates transfer of spheroids and results in lower throughput capacity and loss of data. Second, significant time is required for the high-content imager to detect the relatively small diameter spheroids (~300 µm) in large 5 mm diameter wells, especially at higher magnifications. This also contributes to a significant loss in assay throughput. Corning spheroid microplates allow generation and analysis of spheroids within the same plate and so, were critical to our successful high-content imaging of spheroids.
Corning spheroid microplates are black/clear-bottom microplates available in 96-well, 384-well, and 1536-well formats, all of which are compatible with automation systems. The Ultra-Low Attachment (ULA) surface is a hydrophilic, biologically inert, and non-degradable coating covalently attached to the interior surface of the well-bottom and promotes self-assembly of plated cells into 3D aggregates. The unique well geometry enables formation of single spheroids of uniform size across the microplate. Importantly, spheroids tend to settle in the bottom of the unique U-shaped wells which simplifies and accelerates the imaging process, as less time is required to scan the well to find the spheroid. The opaque side walls and proprietary gridded plate bottom design reduce well-to-well cross-talk and background fluorescence/luminescence. Ultimately, the novel and proprietary design of the spheroid microplates positions them as an ideal tool for high throughput analysis of 3D cell cultures.
Furthermore, the Corning® spheroid microplates are chemically compatible with Visikol® HISTO-M clearing. The Visikol clearing process, which takes only minutes, can be done within the spheroid microplate wells. The present study demonstrates the advantages of tissue clearing in imaging analysis of spheroid cultures. Namely, clearing of spheroids allows for query of the entirety of the 3D structure and, thus, a more thorough analysis of the microenvironments within the spheroid. In short, uniform spheroids can be reproducibly generated and cultured, labeled, cleared, and imaged in Corning spheroid microplates without the transfer of spheroids, ensuring a comprehensive data set without the loss of information or throughput.
Figure 4. Spheroid positioning in conventional flat-bottom microplates vs. Corning® spheroid microplates. Conventional flat-bottom 96-well microplates result in randomly positioned spheroids, thus a much larger area must be scanned by the high-content imager to find the spheroid to image, reducing throughput. Corning 96-well spheroid microplates, with their unique U-shaped well bottom, center the spheroids permitting accelerated image acquisition.
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