Application Note

Monitor cell proliferation and cell cycle in real time

  • Perform live cell experiments with environmental control and time-lapse imaging
  • Monitor cell division and evaluation of compound effects in real time
  • Easily export time-lapse data into MP4 format and save as a video

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Introduction

Oksana Sirenko, PhD | Sr. Research Scientist | Molecular Devices
Felix Spira, PhD | Applications Scientist | Molecular Devices
András Málnási-Csizmadia, PhD | Professor | Eötvös Loránd University, Hungary

There is an increased need to expand the variety and complexity of cell-based assays for biological research and drug discovery. Live-cell assays allow monitoring of cell responses in real time and provide important insights about compound treatment effects and biological complexity. We used real-time quantitative cell imaging assays with the ImageXpress® Pico Automated Cell Imaging System to monitor complex effects of anti-cancer compounds in cell models.

To characterize the effects of anti-cancer compounds, we monitored the time-dependent effects on cell proliferation and cell cycle for HeLa cervical cancer cells. An environmental control (EC) chamber was used to deliver desired CO2 and O2 concentrations. Time-lapse imaging in transmitted light was used to quantify cell number, confluency, and cell area, while fluorescent markers were used to evaluate the effects of compound treatment on cell cycle.

Cell-based assays were performed using the ImageXpress Pico system in combination with CellReporterXpress® Imaging Acquisition and Analysis Software. The imager provides five fluorescence channels plus transmitted light (brightfield) as well as colorimetric imaging. The environmental control chamber and high-stage precision supports long-term, time-lapse microscopy to enable automatic monitoring of cell proliferation, differentiation, compound toxicity, and a variety of other cell-based assays.

Methods

Environmental control and time-lapse monitoring

ImageXpress Pico system is equipped with an environmental control chamber that enables control and monitoring of temperature, CO2 and O2 concentrations, as well as humidity. In combination with time-lapse imaging it provides an efficient tool to perform live experiments, including hypoxia conditions.

Cell culture

HeLa cells (obtained from ATCC) were plated into 384-well black, clear-bottom microplates (Corning, #3603) at a density of 3,000 cells per well and cultured in the environmental control chamber for 24 hours at 37°C and 4% CO2. Treatment with compounds was performed for 24 hours as indicated in Figures 1 through 4. HeLa cells that were stably expressing histone protein mCherry-H2B and Tubulin-GFP were provided by Dr. Málnási-Csizmadia and were cultured and treated similarly to regular HeLa cells.

Cell imaging

To visualize cells and to monitor cell proliferation and cell death, images were acquired using a 10X objective with transmitted light every one to two hours for 24 hours. Image analysis was performed during image acquisition using a transmitted light cell count general analysis protocol. The analysis provided measurements for numbers of cells, average cell area, and total cell-covered area.

Results

Assessing compound effects on cell viability and proliferation using transmitted light cell count

Phenotypic changes in cell culture were monitored over time by acquiring time-lapse images. Cells were monitored over 24 hours in the EC chamber using transmitted light or fluorescent markers. HeLa cells were plated into 96-well or 384-well microplates at 12,000 or 3,000 cells per well, respectively. Transmitted light images were acquired every one to two hours for 24 hours using a 10X objective, at four sites per well for 96-well plates or one site per well for 384 plates.

Automated image analysis was performed during image acquisition. Image analysis involved finding cells in transmitted light and counting cell number, individual cell area, and area covered by cells (Figure 1). Dead cells were identified based on size and shape and excluded from analysis of healthy cells. Graphing tools were used to view kinetic curves for cell proliferation. Figure 2 shows increase in cell count over a time for each well in a 96-well plate as an indication of proliferation.

Images of HeLa cells

Figure 1. Images of HeLa cells acquired with 10X objective by using transmitted light for illumination. The analysis masks for cell count are shown as white overlays (20% of the full image presented). Importantly, the protocol needs to be optimized during the image acquisition, since the analysis protocol cannot be modified or adjusted. Typically, the exposure time is in the range of 1-6 ms, while the focus offset is typically -8.

Cell proliferation and compound effects

Figure 2. Cell proliferation and compound effects were monitored in real time over 24 hours. Cells were plated into 96- or 384-wells format and placed into the EC chamber. Transmitted light images were acquired every 1-2 hour using 10X objective, four sites per well for 96 wells, or one site per well for 384 wells. Automated image analysis was performed during acquisition. Note the absence of edge effects when using the IX-Pico EC cassette.

Timecourses of the effects of anti-cancer compounds were evaluated using transmitted light imaging and analysis. Compound effects on cell proliferation were monitored in live cells by acquiring images every two hours for 24 hours total. Dose-dependent inhibitions of cell proliferation were observed for staurosporine and mitomycin C (Figure 3). To characterize compound effects, compound EC50 values for inhibition of cell proliferation (decrease in cell count) were calculated by using a 4-parameter curve fit algorithm by SoftMaxPro® Software (Figure 3B).

Timecourse for cell proliferation

Figure 3. Timecourse for cell proliferation and concentration dependency of cell number. (A) Timecourse data visualization presented for cell count for control wells and wells treated with increasing concentrations of indicated compounds (duplicate wells). (B) Concentration dependencies measured at 24 hours for mitomycin C (in red; IC50 0.27 μM), and staurosporine (in green, 0.05 μM).

Identification of mitotic cells in real time using fluorescent markers

We monitored cell division in HeLa cells that were stably expressing histone protein mCherry-H2B and Tubulin-GFP. By using fluorescently labeled histones and the cytoskeleton protein tubulin it was possible to follow individual cells progressing through the cell cycle. Figure 4 shows five cells, of which each cell divides within 12 hours. The intercellular bridge and also the forming spindle poles are visible (white arrows). Mitotic cells with small and bright nuclei can be identified using image analysis. The total number of cells, and cell spreading, can also be monitored by counting all nuclei (H2B-mCherry) and area of GFP (tubulin) stain (Figure 4B).

Live cell detection of mitotic cells

Figure 4. Live cell detection of mitotic cells. Image series showing HeLa cells stably expressing mCherry-H2B, Tubulin-GFP undergoing cell division. Mitotic cells indicated with arrows, images were acquired every 2 h for 25 h using 10X objective and FITC and TRITC illumination. Percentage (%) of mitotic cell can be counted by calculating the ratio between total cell number and number of mitotic cells

Conclusion

Overall, our results demonstrate how environmental control chamber and time-lapse imaging of live cells can be utilized for monitoring cell division and evaluation of compound effects in real time. Image analysis on the fly provides automated monitoring of cell culture and phenotypic changes of cells during the experiment. Finally, time-lapse data can be easily exported into MP4 format and saved as a video.

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