Here, we describe a method of long-term time-lapse microscopy to longitudinally track single cells in response to anti-cancer therapeutics.
The response of single cells to anti-cancer drugs contributes significantly in determining the population response, and therefore is a major contributing factor in the overall outcome. Immunoblotting, flow cytometry and fixed cell experiments are often used to study how cells respond to anti-cancer drugs. These methods are important, but they have several shortcomings. Variability in drug responses between cancer and normal cells, and between cells of different cancer origin, and transient and rare responses are difficult to understand using population averaging assays and without being able to directly track and analyze them longitudinally. The microscope is particularly well suited to image live cells. Advancements in technology enable us to routinely image cells at a resolution that enables not only cell tracking, but also the observation of a variety of cellular responses. We describe an approach in detail that allows for the continuous time-lapse imaging of cells during the drug response for essentially as long as desired, typically up to 96 hr. Using variations of the approach, cells can be monitored for weeks. With the employment of genetically encoded fluorescent biosensors numerous processes, pathways and responses can be followed. We show examples that include tracking and quantification of cell growth and cell cycle progression, chromosome dynamics, DNA damage, and cell death. We also discuss variations of the technique and its flexibility, and highlight some common pitfalls.
Live-cell microscopy and longitudinal tracking of single cells is not a new technique. From the earliest microscopes, enthusiasts and scientists have observed and studied single cells and organisms, their behaviors, and development1-3. A famous example from the late David Rogers at Vanderbilt University in the 1950s shows a human neutrophil in a blood smear chasing a Staphylococcus aureus bacterium and eventually the process of phagocytosis4. This live-cell movie is an excellent illustration of how multiple processes can be observed and correlated in a single experiment: sensing of a chemical gradient, mechanics and speed of cell motility, cell shapes dynamics, adhesion, and phagocytosis of a pathogen.
The advent of fully automated microscopes and highly sensitive digital cameras has resulted in an increasing numbers of investigators using microscopy to ask fundamental questions in cell biology ranging from how cells move5,6 and divide7,8 to organelle dynamics and membrane trafficking9-11. Non-fluorescent, brightfield microscopy, including phase-contrast (PC), which garnered the Nobel Prize for Frits Zernike in 1953, and differential interference contrast (DIC) allow for the observation of cells and nuclei but also sub-cellular structures including microtubule bundles, chromosomes, nucleoli, organelle dynamics, and thick actin fibers12. Genetically encoded fluorescent proteins and the development of fluorescent dyes against organelles have dramatically impacted time-lapse microscopy13-15. While not the focus of this article, imaging in cell spheroids and in situ (intravital microscopy) using confocal and multiphoton microscopy represent another expansion of the approach, and there are outstanding articles that use and discuss these approaches16-19.
The responses of cells to anti-cancer drugs or natural products are determined on the molecular and cellular scale. Understanding cell responses and fates following treatment often involves population averaging assays (e.g., immunoblotting, whole well measures), or fixed time-points with immunofluorescent detection and flow cytometry, which measure single cells. Heterogeneity in single cell responses to drugs within a population, in particular in tumors, may explain some of the variability in response seen across cell lines and tumors that are treated with the same drug at saturation. Long-term longitudinal approaches to follow a given single cell or a population of cells is a less common but very powerful approach that allows for the direct study of molecular response pathways, different phenotypes (e.g., cell death or cell division), observation of cell-to-cell variability within a population, and how these factors contribute to population response dynamics20-22. Optimistically, being able to observe and quantify single cell responses will help improve our understanding of how drugs work, why they sometimes fail, and how to best use them.
The technique of long-term time-lapse microscopy, longitudinal tracking, and analysis of drug responses is available to many investigators and can be simple, using only transmitted light to observe phenotype responses20,21. The main components of the approach include: appropriate preparation of the cells of interest, an automated microscope with environmental chamber, a camera integrated with a computer to acquire and store the images, and software to review the time-lapse and measure and analyze the cells and any fluorescent biosensors. We provide a detailed protocol with many tips for conducting time-lapse microscopy of cultured cells for as long as several days using brightfield and/or widefield epifluorescent microscopy. This protocol can be used for any cell line that can be grown in culture to study their responses to anti-cancer therapies. We provide examples of data acquired and analyzed using multiple different genetically-encoded fluorescent biosensors and an example of phase-contrast microscopy, briefly discuss different types of probes, the advantages and disadvantages of long-term time-lapse and longitudinal tracking, what can be learned for this approach that is difficult to understand from non-direct approaches, and some variations that we hope will be of interest and value to inexperienced researchers who have not considered using the approach, and to experienced researchers.
The following protocol uses parameters defined by the experiments in Figures 4 and 6 regarding acquisition settings and experimental conditions. Many of these parameters can be modified to fit other experiments (i.e., exposure times, binning, fluorescent channels, etc.). All procedures must adhere to institutional guidelines and regulations and be approved by the institutional biosafety committee. Microscope manufacturer websites contain excellent information for live cell imaging.
1. Microscopes and Imaging Software
2. Visualizing Cellular Processes and Phenotypic Responses
3. Preparation of Samples
4. Environmental Chamber Set-up
5. Microscope Set-up
6. Transporting Cells to Microscope and into the Chamber
7. Setting up the Imaging
8. Ending the Time-lapse
9. Longitudinal Tracking and Analysis of Time-lapse Data
Long-term time-lapse microscopy and direct longitudinal tracking allows for the study of many anti-cancer effects during drug response. Following the general outline in Figure 1, multiple examples of cells are shown expressing validated fluorescent reporters that treated with anti-cancer drugs, tracked, and analyzed using different approaches.
Phase contrast microscopy alone is very informative and robustly reports on interphase versus mitosis, mitotic duration and arrest, abnormal cell division, and cell death21,23,24. Drugs that target cell division, often termed anti-mitotic drugs, continue to be developed. Figure 2 and Movies 1 and 2 show examples of a pair of matched breast cancer-derived MCF7 cell lines that differ only in their p53 status, treated with 500 nM of a type of anti-cancer drug that targets and inhibits the mitotic motor protein, Kinesin-5 (KSP1, Kif11, Eg5), resulting in protracted mitosis20. Wild type MCF7 cells (Figure 2A) are a paradigm to study p53-dependent cell cycle arrest25-27. Wild type cells enter mitosis, remain for several hours, eventually leave and largely arrest with induction of p5325. When p53 is removed by stable p53 knockdown (MCF7 sh p53), instead of arresting after they leave mitosis, the cells go through repeated cycles (Figure 2B). Cells were tracked manually and the mitotic index and the percentage of cells that enter a second mitosis were scored (Figure 2C, D). We observe that the sh p53 cell tracked divides when it enters a second round of mitosis rather than arresting and leaving mitosis without division. While not shown here the duration of mitotic events, time between successive mitoses, percent of cell divisions, and associated cell death events can also be scored20,21.
The taxanes, for example paclitaxel and docetaxel, are common chemotherapy for many cancers, including those that are difficult to treat like pancreatic and advanced breast. Paclitaxel binds to the dynamic plus-end of microtubules and stabilizes them, preventing their normal function. Paclitaxel has noted dose-dependent effects, and even at low concentrations can perturb normal mitotic progression and chromosome segregation16. Faithful segregation of chromosomes is essential to normal cell proliferation and when abnormal can result in aneuploidy that may trigger cell cycle arrest, but also act as a driver of cancer progression. Figure 3 and Movie 3 show cervical carcinoma-derived HeLa cells stably expressing the chromatin marker histone-2b fused to mCherry and beta-tubulin fused to EGFP (not shown) in normal growth medium treated with 1 nM paclitaxel. In this example, entry into and progression through mitosis can be followed. The timing of mitosis appears normal in this cell, however chromosome alignment and segregation is not, resulting in nuclear bulges and micronuclei that are structures indicating poor chromosome segregation. Micronuclei are prone to DNA damage and chromothripsis, which is the large-scale fragmentation of chromosomes or chromatin – this has important implications in tumor evolution28,29. While not shown here, the origin of micronuclei with relation to other mitotic structures and the fate of these cells can be directly tracked using long-term time-lapse. Further, a chromatin marker expressed with a DNA damage reporter could be used to establish the relationship between chromosome segregation, micronuclei and DNA damage.
Fluorescent reporters allow for enumerable cell processes to be tracked and new reporters are continually being developed. For example, the cell cycle consists of phases that are of particular interest in developing targeted anti-cancer therapeutics. Figure 4 and Movie 4 shows a fibrosarcoma-derived cell line (HT1080) that stably co-expresses two reporters termed, fluorescent ubiquitin cell cycle indicators (FUCCI)30. In the system here, a portion of the Cdt1 polypeptide is fused to mKO2 (monomeric Kusabira orange 2) and increases in G1-phase and is degraded in early S-phase, and a portion of geminin is fused to mAG (monomeric Azami green) and increases in mid-S-phase and is degraded upon anaphase. This cell is in normal growth medium and progresses through the cell cycle in 15 hr. Figure 5A, B and Movie 5 show the same cells in normal medium treated with 10 µM PD0332991, a Cdk4/6 inhibitor. The cells progress through G2-phase and divide normally, and strongly arrest in the subsequent G1-phase, indicating the potential for effective cytostatic effects in growing tumors. Figure 5C, D and Movie 6 show the same cells in normal medium treated with a small molecule called selinexor (KPT-330), a potent inhibitor the nuclear export protein, exportin-1 (XPO1, a.k.a. CRM1). These compounds are termed selective inhibitors of nuclear export (SINE) and their anti-cancer effects are currently under investigation31,32. SINE treatment results in strong cell cycle phenotypes and cell death33,34. This example shows a cell that progresses through G1-phase with normal kinetics (approximately 6 hr), but experiences delay in S-phase progression as indicated by the period with both red and green signal (approximately 3 hr in control but 10 in SINE treated). This cell dies in late S- or G2-phase after 21 hr 30 min; a normal cell cycle is approximately 15 hr. The effects of selinexor are being studied for different blood and solid tumors35.
A mainstay of anti-cancer therapy is cytotoxicity through catastrophic DNA damage. DNA damage can be induced through many therapies including radiation, platinum-based adducts, and small molecule drugs – for example, those that target topoisomerase I and/or II. Many combination therapies also attack the DNA damage axis by either inducing damage through separate pathways or blocking the ability of cells to repair the damage. The kinetics and level of damage and if and how this causes cell death is of widespread importance in developmental therapeutics. Figure 6 and Movie 7 show HT1080 cells that stably express a double-strand DNA damage reporter, mCherry-BP1-236 in normal growth medium treated with 10 µM etoposide (VP-16), a topoisomerase II poison. This reporter is comprised of a portion of the DNA double-strand break site protein, 53BP1 that is fused to mCherry. The nucleus of this cell was tracked using the Analyze Particles plugin in ImageJ and the integrated mCherry-BP1-2 signal was measured in each frame after thresholding out values that eliminated soluble nuclear probe. DNA damage is minimal for the first 10 hr and then steadily increases. Topoisomerase II inhibitors are known to particularly affect S- and G2-phase, when the enzyme is most active37,38. The kinetics observed in this example could indicate cell cycle associated damage; combining mCherry-BP1-2 with FUCCI reporters could demonstrate the timing of the damage that can then be linked to cell fate.
Figure 1. Overview of Using Long-term Time-lapse Microscopy and Longitudinal Tracking to Study Anti-cancer Drug Response. Cells in appropriate live-cell imaging dishes labeled as desired are imaged, cells or regions of interest are tracked, and the data is analyzed. Many methods exist to track and quantify cells, some are indicated here. Please click here to view a larger version of this figure.
Figure 2. Phase-contrast Time-lapse Microscopy Shows p53-dependence after Anti-mitotic Drug Treatment. Wildtype (A) and p53-knockdown (B) MCF7 cells were treated with 500 nM Kinesin-5 inhibitor and imaged every 10 min for 96 hr using phase-contrast microscopy with a 20X PH2 0.70 NA lens. Individual cells were tracked manually and the percent mitosis and if the cell progresses to another mitosis again during the time-lapse were scored. Arrows indicate cell that is being tracked. The sh p53 cell (B) divides upon entering a second mitosis. (C) Both cell lines show prolonged mitotic arrest as indicated by the high peak percent mitosis (first blue and red arrows). (C, D) Nearly 90% of cells without p53 (sh p53, n = 87) show continued progression (red arrows) compared to 20% of wildtype (n = 130). Error bars indicate standard deviation. Bar = 20 µm. Movies 1 and 2. Please click here to view a larger version of this figure.
Figure 3. The Chromatin Marker Histone 2b Reveals Evidence of Chromosome Segregation Abnormalities after Low-dose Paclitaxel Treatment. Paclitaxel is a microtubule-targeted drug that results in complex, concentration-dependent defects in cell growth and division. The organization of the chromatin informs on different cell states, including the stage of mitosis and cell death. HeLa cells stably expressing both H2b-mCherry and β-tubulin-EGFP were treated with 1 nM paclitaxel. This cell is initially in interphase, progresses through the stages of mitosis and divides. While the time in mitosis appears normal, there is evidence of chromosome attachment and segregation errors that are resolved (arrows). The fate of these cells can be determined directly by longitudinal tracking. Phase-contrast (not shown) and fluorescent images were acquired at 1 frame per 10 min with a 20X Ph2 0.70 NA lens. Bar = 10 µm. Movie 3. Please click here to view a larger version of this figure.
Figure 4. Fluorescent Cell Cycle Markers Allow for Direct Monitoring of Cell Cycle Progression. (A) A field of live HT1080 fibrosarcoma cells expressing the FUCCI system imaged by phase-contrast and fluorescence. (B, C) The mitotic cell in the dashed box in panel A is followed. Normally progress through the cell cycle in approximately 15 hr. After mitosis, cells are briefly dim, and then become red as they progress into and through G1-phase. When cells enter S-phase, the red Cdt1 probe is degraded and the green geminin probe increases. The brief approximately 3 hr period where both probes are present, indicates early S-phase. As cells progress through S- and G2-phase and into the next mitosis they remain green. The green probe is degraded upon anaphase of cell division. Phase-contrast and fluorescent images were acquired at 1 frame per 10 min with a 20X PH2 0.70 NA lens. Bar = 10 µm. Movie 4. Please click here to view a larger version of this figure.
Figure 5. Cell Cycle Specific Effects and Associated Cell Death. The same cell line as in Figure 4 but treated with two different molecules that represent different anti-cancer targets. Times after treatment are indicated. (A, B) After treatment of a late S/G2-phase cell with 10 µM PD0332991 Cdk4/6 inhibitor, it cell progresses normally to mitosis (M) and divides. One daughter cell is tracked by measuring red and green fluorescent intensities in the region of interest in the nucleus. The cell remains arrested in G1-phase for approximately 40 hr. (C, D) After treatment of a late G2-phase cell with 1 µM selinexor, it cell progresses normally to mitosis (M) and divides. One daughter cell is tracked and it enters G1-phase, progresses through a protracted early S-phase (red and green signal), transitions to solely green and dies after 21 hr 30 min. The data suggest S-phase progression is affected by selinexor treatment. Phase-contrast and fluorescent images were acquired at 1 frame per 10 min with a 20X PH2 0.70 NA lens. Bar = 10 µm. Movies 5 and 6. Please click here to view a larger version of this figure.
Figure 6. DNA Damage Dynamics after Drug Treatment. Many anti-cancer therapies result in DNA damage that can profoundly impact cell response and treatment success. HT1080 cells stably expressing both the double-strand DNA damage marker mCherry-BP1-2 and H2b-EGFP (not shown) were treated with 10 µM of the topoisomerase II drug etoposide and DNA damage was tracked. (A) The number and intensity of the foci increase after etoposide. There is initially a lag, indicating possible cell cycle effects consistent with the known mechanism of etoposide. By 22 hr 50 min this cell has accumulated high levels of damage. While not shown here, the fate of this cell can be determined by direct tracking. (B) A ROI corresponding to the nucleus obtained through the H2b-EGFP signal was tracked using particle tracking in ImageJ and the integrated BP1-2 mCherry signal was quantified and plotted over time. The lag in signal until approximately 10 hr is noted, followed by a persistent increase. Fluorescent images were acquired at 1 frame per 10 min with a 40X PH2 0.75 NA lens. Bar = 10 µm. Movie 7. Please click here to view a larger version of this figure.
Movie 1. Phase-contrast Time-lapse Microscopy of Wildtype MCF7 Cells after Anti-mitotic Drug Treatment. Wildtype MCF7 cells were treated with 500 nM Kinesin-5 inhibitor and imaged every 10 min for 96 hr using phase-contrast microscopy with a 20X PH2 0.70 NA lens. Prolonged mitotic arrest and exit from mitosis can be observed, as described in Figure 2. Please click here to download this file.
Movie 2. Phase-contrast Time-lapse Microscopy of p53-knockdown MCF7 Cells after Anti-mitotic Drug Treatment. MCF7 cells stably expressing a small hairpin RNA targeting p53 for degradation were treated with 500 nM Kinesin-5 inhibitor and imaged every 10 min for 96 hr using phase-contrast microscopy with a 20X PH2 0.70 NA lens. Prolonged mitotic arrest and multiple rounds of mitosis can be observed, as described in Figure 2. Please click here to download this file.
Movie 3. Fluorescent Time-lapse Microscopy of HeLa Cells after Low-dose Paclitaxel Treatment. HeLa cells stably expressing H2B-mCherry and β-tubulin-EGFP were treated with 1 nM paclitaxel. Chromosome attachment and segregation issues can be observed, as described in Figure 3. Images were acquired every 10 min with a 20X PH2 0.70 NA lens. Please click here to download this file.
Movie 4. Fluorescent Cell Cycle Markers Allow for Direct Monitoring of Cell Cycle Progression. HT1080 cells expressing the FUCCI system were longitudinally tracked during time-lapse microscopy. The cell goes dim after exiting mitosis, and then becomes red as the cell progresses through G1-phase. As the cell enters S-phase, it becomes yellow as the green geminin probe increases and the red Cdt1 probe is degraded. The cell remains green as it progresses through S- and G2-phase. The green degrades as the cells enters anaphase. Quantification of this cell is shown in Figure 4. Images were acquired every 10 min with a 20X PH2 0.70 NA lens. Please click here to download this file.
Movie 5. HT1080 Cell Expressing Fluorescent Cell Cycle Markers after Treatment with a G1-phase Inhibitor. HT1080 cells expressing the FUCCI system were treated with 10 µM PD0332991, a Cdk4/6 inhibitor. The tracked cell progresses normally to mitosis and divides. One daughter is tracked, and remains red in G1 for the duration of the movie. Quantification is shown in Figure 5. Images were acquired every 10 min with a 20X PH2 0.70 NA lens. Please click here to download this file.
Movie 6. HT1080 Cell Expressing Fluorescent Cell Cycle Markers after Treatment with the Exportin-1 Inhibitor, Selinexor. HT1080 cells expressing the FUCCI system were treated with 1 µM selinexor. This late G2-phase cell was tracked through mitosis. A daughter cell then progresses through G1-phase (red) and enters S-phase (yellow). The cell progresses slowly through S-phases until it enters late-S/G2-phase and dies after 21 hr 30 min of treatment. Quantification is shown in Figure 5. Images were acquired every 10 min with a 20X PH2 0.70 NA lens. Please click here to download this file.
Movie 7. DNA Damage Dynamics after Treatment with a Topoisomerase II Inhibitor. HT1080 cells stably expressing the double-strand DNA damage marker mCherry-BP1-2 and H2B-EGFP were treated with 10 µM etoposide, a topoisomerase II inhibitor. The mCherry-BP1-2 is displayed in the movie. As treatment continues, the signal of mCherry-BP1-2 increases, indicating increased double-strand DNA damage. Quantification is shown in Figure 6. Images were acquired every 10 min with a 40X PH2 0.75 NA lens. Please click here to download this file.
Advantages of Time-lapse Microscopy and Longitudinal Tracking
The microscope is an ideal instrument for longitudinal studies of drug response as it allows investigators to track individual cells and their fates as well as the entire population. Variability in drug response within a population of cells is a major issue for anti-cancer therapeutic design. Longitudinal tracking of single cells allows investigators to observe this variability and begin to understand the underlying mechanisms and consequences as it pertains to the cell population. Utilizing a variety of fluorescent probes provides a multitude of ways to observe and understand both common and rare response phenotypes. The timing and contribution of different cell fates to the population response, relationships between specific phenotypes and fates, and differences in response between cell lines or the state upon treatment are examples of what can be learned. Many cancer related processes can be studied. Some that are not highlighted in this article include cell death with apoptosis, autophagy, and necrosis reporters39-42, cell invasion43,44, and p53 dynamics that determine cell fate decisions27. In addition, this approach is not limited to studies in anti-cancer therapeutics studies. The same principles can be used to study many other biological processes including mitosis45 cytoskeleton dynamics46,47 and intracellular signaling48.
Time-lapse fluorescent microscopy can also provide localization and intensity data of proteins and molecules of interest. Not only are changes in protein level important to drug response, but the proper (or improper) localization of proteins within the cell is critical for understanding response. Time-lapse microscopy provides data on where proteins are localized (e.g., nucleus, cytosol, specific organelles, etc.) after drug treatment and how the localization and total levels change over time at a single cell and population level.
Challenges and Limitations
Despite the strengths of time-lapse microscopy and longitudinal analysis of single cells, there are limitations. Fluorescence reporters are limited by their stability and specificity. When designing fluorescent fusion proteins, it is critical to choose a probe that is photo-stable and bright, but it is also necessary to consider the effects of the fluorescent tag being attached to the protein of interest regarding its normal function and ability to properly localize. These issues have been discussed in detail elsewhere and there are many available fluorescent tagged proteins that have been published15,49,50. Other fluorescent labels or tags can be added to the cells, and care must be taken to ensure they are not toxic. In our experience, these probes, for example mitochondrial labels (membrane potential) or cell permeable DNA dyes, tend to bleach easier and will be diluted-out due to cell proliferation.
In addition, there are many technical challenges with growing and observing cells on a microscope. Instability with regards to temperature, humidity, atmosphere, and light will have large effects on the cells, resulting in loss of data or even the entire experiment. Stability issues regarding image capture can be seen in Movies 1 and 2. This effect can be minimized through the use of paraffin film (See 4.2). There are also image stabilization algorithms available for post-acquisition processing, for example using ImageJ (NIH). An aspect of long-term time-lapse that is often overlooked is data management and file size. Even when binning the data, a single time-lapse experiment is often in excess of 30 gigabytes. High capacity, high-speed, reliable data storage and transfer are strongly encouraged. Depending on the fluorescent biosensor(s) being imaged, it is often not necessary to acquire full resolution images, for example nuclear or cytoplasmic sensors. We recommend when possible, to take measures to keep file sizes small, resulting in easier to work with data, less demanding computing needs, and improved work flow.
Phototoxicity is a major concern when performing long term time-lapse microscopy. High intensity light and long exposures can lead to photobleaching of fluorescent probes, cell stress and cell death. These effects can have large effects on the data and lead to misrepresentation of the experiment. Camera binning and gain can be used to reduce exposure times. Neutral density filters in the light path reduce the intensity of the light on the sample. The wavelengths of light used to image will also affect the cells. Shorter wavelengths (UV, near UV) are more damaging to cells and result in photo-bleaching at quicker rates than longer wavelengths (e.g., red, far red). Choice of objective can also affect imaging conditions. Higher numerical aperture (NA) lenses will produce higher resolution images, but higher magnification allows less light to be transmitted from the sample resulting in higher exposure times or more intense light. An objective should be selected with an appropriate NA and magnification that will resolve your object of interest without oversampling. In many cases, the highest objective may not be the most appropriate choice. With nuclear probes (Figures 4, 5), a low magnification objective allows for a larger field to be captured, effectively increasing sample size, without compromising resolution of the desired object. Long-term time-lapse in three dimensions should be performed cautiously due to integrated light exposure. Using a spinning disc confocal microscope, sensitive camera (e.g., EM-CCD), camera gain, and a fast piezo motor for z-series is suggested to reduce light exposure. Fast z-series acquisition is also important to minimize motion artifacts due to cell movement and dynamics that occur during the acquisition period. Empirical analysis of untreated cells using many different settings can be useful in determining the effects of fluorescent light on any given cell line or reporter. In addition, an untreated control should be included in each experiment to determine the cytotoxic effects of the experimental settings.
Variations of the Technique
Long-term time-lapse is robust and very flexible. Using co-culture techniques, different cell lines or the same cell lines expressing different reporters can be used. One outstanding example of this is imaging phagocytic cells with target cells that are dying in response to an anti-cancer drug. Another example could be to study the impact of responding cells on neighboring drug naive cells. Coupled with photo-activateable, photo-convertible, and photo-switchable fluorescent proteins, and engineered proteins that can be activated by light to trigger specific effects (e.g., KillerRed), there are many possibilities. More complex approaches can be used that employ various specialized types of microscopy such as fluorescent redistribution after photobleaching, Förster resonance energy transfer (FRET), and super resolution (e.g., stochastic optical reconstruction microscopy (STORM), structural illumination microscopy (SIM), or stimulated emission depletion (STED)), and many others and there are advantages and limitations of each approach.
Long-term (e.g., weeks, months) responses and the recovery of cells after drug removal is central to understanding anti-cancer drug action. Gridded glass-bottom dishes are a valuable tool to monitor specific cells or regions within a population/area repeatedly. For example, with a gridded dish, the initial drug response can be imaged using a time-lapse, the drug can be removed, and specific areas in the grid can be imaged over time or subjected to additional time-lapse at the desired time. The glass bottom on the dishes can be removed by either cutting with a scribe tool or by using a commercial reagent, and the cells on the glass can be stained for other markers of interest, for example senescence associated β-galactocidase activity, and compared to the time-lapse to understand the history of how cells reached this state. If the cell population is large enough it may also be subjected to immunoblotting or flow cytometry.
Thick samples have traditionally been difficult to image, for example spheroids in various gel materials and matrices. Newer approaches including fluorescent confocal or multi-photon microscopy16,18,19,51 can be used to extend the approach to an in situ understanding of how cells respond to anti-cancer therapeutics. These studies and a growing number from scientists using time-lapse to study anti-cancer drug response24,52-54 demonstrate clearly that we are moving toward developing an understanding of single cell pharmacodynamics that will help improve our ability to use anti-cancer drugs more effectively and perhaps predict anti-cancer drug response.
The authors have nothing to disclose.
We thank Joshua Marcus for technical support and Jolien Tyler, Ph.D., Director of the Richard J. McIntosh Light Microscopy Core Facility, for technical advice. This work was supported by funds from the University of Colorado Boulder and the University of Colorado Boulder Graduate School to J.D.O. R.T.B. is partially supported by pre-doctoral training grant from the NIH (T32 GM008759). We thank Karyopharm Therapeutics, Inc. for selinexor and Merck Serono for Kinesin-5 inhibitor. FUCCI plasmids are from Atsushi Miyawaki (RIKEN, Japan) via MTA. mCherry-BP1-2 was from Addgene. HeLa expressing H2b-mCherry and β-tubulin-EGFP are from Daniel Gerlich (IMBA, Austrian Academy of Sciences, Austria).
Taxol (paclitaxel) | Sigma | T7191 | microtubule stabilizing drug |
etoposide | Selleckchem | S1225 | topoisomerase II inhibitor |
selinexor | Karyopharm Therapeutics | na | XPO1/CRM1 inhibitor, gift |
Kinesin-5 inhibitor | Merck Serono | na | gift, also available from American Custom Chemicals Corporation. CAS 858668-07-2 |
cell growth medium | HyClone (Fisher) or Mediatech | many companies available | |
5% CO2/balance air, certified | Airgas | Z03NI7222004379 | |
35mm dish, 20mm glass bottom | Cellvis | D35-20-1.5-N | many companies available |
35mm 4 well dish, 20mm glass bottom | Cellvis | D35C4-20-1.5-N | many companies available |
35mm dish, gridded glass bottom | MatTek | P35G-2-14-CGRD | many companies available |
multi-well, glass bottom | Cellvis | P12-1.5H-N | many companies available |
Olympus IX81 inverted epifluorescence microscope | Olympus | ||
Olympus IX2-UCB controller | Olympus | ||
PRIOR LumenPro200 | Prior Scientific | Lumen200PRO | |
PRIOR Proscan III motorized stage | Prio Scientific | H117 | |
STEV chamber | InVivo Scientific | STEV.ECU.HC5 STAGE TOP | |
Environmental Controller Unit | InVivo Scientific | STEV.ECU.HC5 STAGE TOP | |
Hamamatsu ORCA R2 CCD with controller | Hamamatsu | C10600 | |
Nikon Eclipse Ti | Nikon | ||
Nikon laser launch | Nikon | ||
SOLA light engine | lumencor | ||
iXon Ultra 897 EM-CCD | ANDOR | ||
TOKAI HIT inclubation chamber | TOKAI HIT | TIZSH |