Clathrin-mediated endocytosis, a rapid and highly dynamic process internalizes many proteins, including signaling receptors. The protocol described here directly visualizes the kinetics of individual endocytic events. This is essential for understanding how core members of the endocytic machinery coordinate with each other, and how protein cargo influence this process.
Many important signaling receptors are internalized through the well-studied process of clathrin-mediated endocytosis (CME). Traditional cell biological assays, measuring global changes in endocytosis, have identified over 30 known components participating in CME, and biochemical studies have generated an interaction map of many of these components. It is becoming increasingly clear, however, that CME is a highly dynamic process whose regulation is complex and delicate. In this manuscript, we describe the use of Total Internal Reflection Fluorescence (TIRF) microscopy to directly visualize the dynamics of components of the clathrin-mediated endocytic machinery, in real time in living cells, at the level of individual events that mediate this process. This approach is essential to elucidate the subtle changes that can alter endocytosis without globally blocking it, as is seen with physiological regulation. We will focus on using this technique to analyze an area of emerging interest, the role of cargo composition in modulating the dynamics of distinct clathrin-coated pits (CCPs). This protocol is compatible with a variety of widely available fluorescence probes, and may be applied to visualizing the dynamics of many cargo molecules that are internalized from the cell surface.
The process of clathrin-mediated endocytosis (CME) is dependent upon the well-timed arrival of the many components of the clathrin-mediated endocytic machinery to gather cargo and manipulate the plasma membrane into the vesicles1-3. CME is initiated by membrane deforming and cargo-adaptor proteins that come together at nascent sites of endocytosis1. These proteins recruit the coat protein clathrin, which assembles into a cage-like structure that forms the clathrin-coated pit (CCP)4. Once the CCP is fully assembled into a spherical shape, membrane scission, primarily through action of the large GTPase, dynamin, generates free clathrin-coated vesicles (CCVs)5,6. This internalization triggers rapid disassembly of the clathrin coat, allowing components to be re-used for multiple rounds of CME.
The discovery and characterization of the proteins involved in CME has been rooted in traditional biochemical, genetic, and microscopy techniques4-6,8. These assays have elucidated the roles and interaction points of these endocytic components. Although very useful for defining essential components of trafficking machinery, these assays are highly limited in capturing the dynamic behavior of CME components or cargo concentration. This is a critical limitation, since CME is driven by the choreographed assembly of sets of protein modules in defined steps, and since small changes in the dynamics of individual endocytic events can have large cumulative consequences on endocytosis. Further, recent data indicate that individual CCPs might differ both in composition and in behavior, suggesting that the physiological regulation of this process is highly spatially and temporally constrained9-14. Visualizing individual endocytic events, therefore, is essential to understand why there are multiple redundant proteins involved in CME and how these proteins might be controlled by physiological signals to regulate cargo internalization.
Here we describe the use of Total Internal Reflection Fluorescence Microscopy (TIRFM) to observe CME at the level of the dynamics of individual CCPs in living cells. TIRFM relies on the difference in refractive index between the glass coverslip and the fluid environment of cells15,16. When the excitation light is directed towards the cells at more than the critical angle, it is internally reflected, creating an evanescent wave that maintains a thin field of illumination extending approximately 100 nm above the coverslip. This ensures that only the fluorescent molecules within this narrow field are excited. Practically, this allows the excitation of fluorescent molecules on or near the plasma membrane, and minimizes fluorescence from the interior parts of the cell. This provides a significantly higher signal-to-noise ratio and z-axis resolution to visualize events at the plasma membrane, compared to more commonly used modes such as conventional epifluorescence or confocal fluorescence microscopy. We also describe, at an introductory and practical level, the use of a commonly used image analysis platform to analyze and quantitate simple morphological features and dynamics of individual cargo endocytic events.
1. Expression of Fluorescently Tagged CME Components in Cultured Cells
HEK293 cells are useful model cells that have been used extensively to study GPCR biology and endocytosis, and therefore are used as models in this protocol. Use any transfection protocol providing uniform expression without overexpression and low cytotoxicity.
2. Imaging CCP and Cargo Dynamics Using TIRFM
3. Analysis of Endocytic Dynamics by Manual Verification
Although manual verification of CCP lifetimes is greatly limited by the number of CCPs that can be detected, it still remains an accurate means of detection undeterred by global changes in the image and detection artifacts. See discussion for details.
4. Analysis of Endocytic Dynamics by Objective Recognition
Objective recognition allows detection of virtually all of the imaged CCPs in a cell, but can be prone to error due to spurious detection of erroneous structures. See discussion for details weighing the advantages and disadvantages of each method. Several programs, including custom-built algorithms, may be used to objectively detect CCPs. This protocol describes objective recognition of CCPs using Imaris, an image-analysis software (see Materials).
Using live-cell TIRF Microscopy we have recorded the endocytic dynamics of the µ-opioid-receptor (MOR), a G-protein coupled receptor (GPCR) and its endocytic adaptor protein β-arrestin. The β-arrestin construct was transiently transfected into a stably expressing MOR cell line using the protocol outlined in Figure 1, and imaged 96 hr later. The MOR in the stable cell line is N-terminally tagged with a pH-sensitive GFP. This fluorescent protein only fluoresces in the neutral extracellular fluid. Also, the MOR only endocytoses once activated by an agonist, and remains otherwise evenly distributed across the plasma membrane. Focusing on the adherent plasma membrane that is sitting on the cover-glass in confocal mode results in a cell that is filled in with a dim fluorescence. This is different from a focusing on the center of the cell, where the plasma membrane is only seen as a ring of fluorescence around the cell. Compare the left and right panels in Figure 2A. Switching to conventional epifluorescence or TIRF with an incorrect angle causes out of focus fluorescence to become apparent in the same cells as shown in Figure 2B. When the TIRF angle is correct the plasma membrane is very crisp, clear and bright and out of focus fluorescence no longer disrupts the image. Compare Figure 2C to Figures 2A and 2B.
The image is clear and sharp because the MOR is on the adherent plasma membrane, which is largely within the TIRF field. In contrast, β-arrestin remains in a cytosolic pool when not yet recruited to endocytic puncta, and appears hazy and out of focus because it is not in the TIRF field. Once the MOR is activated by an agonist, β-arrestin is recruited to the plasma membrane, and both β-arrestin and the receptor redistribute to CCPs (Figure 3A and Movie 1, β-arrestin in green, MOR in red, overlay is yellow).
The lifetimes of these clusters can be quantified manually using the three parameters for completed endocytosis as depicted in Figure 3B. The spots denoting CCPs can either disappear completely (also see Figure 3C), “blink” on and off or “pinch off” a larger structure. The latter two conditions represent events that are spatially too close together to be resolved as separate events. The Spot detection algorithm in Imaris is also useful to quantify CCPs, as outlined in Figure 4. Figure 3D denotes CCPs detected using Imaris, after filtering to remove non-dynamic plaque structures. Overlaid white spheres denote detected spots. Dimmer spots that could not be detected for their whole lifetimes were also excluded with the “Quality” filter.
Figure 1: Flow Chart of Transfection Procedure. (A) First, seed a variety of dilutions (1:50, 1:25, 1:16, 1:10) onto a 12-well plate. Allow cells to grow overnight. The next day, look for a well that is about 70% confluent, and evenly distributed, as depicted. This is the well that will be transfected. (B) Add 60 μl of EC buffer and 400 ng of DNA into a microcentrifuge tube. Vortex for 10 sec and spin the liquid to bottom of the tube. Add 2.4 μl of Enhancer. Vortex for 2 sec and spin the liquid to bottom of the tube. Incubate at room temperature for 3 min. Add 6 μl of Effectene. Vortex for 2 sec and spin the liquid to bottom of the tube. Incubate at room temperature for 20 min. (C) Slowly mix 0.8 ml of DMEM with 10% FBS with the transfection. Add to cells in previously selected well. Incubate cells for 5 hr at 37 °C. Replace with fresh DMEM with 10% FBS.
Figure 2: Finding the TIRFM field. (A) The plasma membrane imaged in confocal. The left panel depicts cells in confocal with a focus on the center of the cell. The plasma membrane is only seen as a “ring” around the cell. Focusing down to the basal plasma membrane, adjacent to the coverslip causes the cell to be filled in with a dim fluorescence. The plasma membrane “ring” should not be visible in the thinner TIRF field. (B) The basal plasma membrane with a shallower TIRF angle producing conventional epifluorescence illumination through the sample. This illuminates the entire cell and much out of focus fluorescence from the top of the cell is present. (C) The plasma membrane in TIRF. Focusing on filopodia helps to find this plane. Notice that it is a smooth single plane. Scale bars are 10 µm. Please click here to view a larger version of this figure.
Figure 3: Visualizing and Quantifying Endocytic events in TIRF. (A) A cell expressing the µ-opioid-receptor (MOR) and β-arrestin before and after addition of an agonist that induces endocytosis. The agonist causes redistribution of both proteins to endocytic puncta. Scale bar is 10 µm. (B) Three types of endocytic events, seen by visualizing arrestin dynamics, consistent with previously described morphologies. “Steady”, one steady signal that rapidly disappears. This is the main type, indicating that the CCP has budded and left the TIRF field. “Blink”, a signal that blinks to a lower signal and reappears at the same spot due to assembly of a second CCP at the same spot. “Pinch off”, a tubular projection comes off a spot, when two CCPs are too close to each other to be resolved as distinct spots, and one is endocytosed. The box is 2 x 2 µm. (C) Visualizing clathrin-mediated endocytosis of MOR at single-event resolution. Two examples that represent the major fraction of MOR endocytic events are shown. Frames are every 3 sec. The box is 2 x 2 µm. (D) Detection of individual endocytic events using Imaris. White spheres denote CCPs detected as Spots. Spot detection was optimized using a “Quality” filter. Dimmer spots that could not be detected for the entirety of their lifetimes were also excluded with the quality filter. Large plaque structures that are shown as being undetected were omitted using an “Intensity” filter. Please click here to view a larger version of this figure.
Figure 4: Objective Recognition of the Dynamics of Endocytic Events using Imaris. (A) The Display Adjustment window, used to adjust the display of the image as described in Step 4.1. (B) Opening the “Spots” algorithm builder. The builder is displayed in the window below. (C) The first step of the Spots algorithm builder. Check “Track Spots (over Time).” Check “Segment only a Region of Interest,” if needed. (D) ROI selection screen. See Step 4.2 for details. (E) The multiple windows needed to define the diameter of a measured Spot. Panels represent: switching from Surpass to Slice mode using the Navigation Bar at the top, clicking on the polar ends of a spot, where the measured diameter displayed, typically on the far right hand side, where to enter the measured diameter. See Steps 4.3-4.4. (F) The spot Quality Filter described in 4.5-4.5.3. (G) Edit spots window described in 4.5.7. (H) Measure tracks and viewing tracks windows, described in 4.6. (I) Filter Tracks window described in 4.7. (J) Edit tracks window described in 4.7.1. (K) Save data screen described in 4.7.2. Please click here to view a larger version of this figure.
Movie 1. Example movie of live cell TIRF Microscopy of MOR clustering and endocytosis. β-arrestin is shown in green, the MOR is shown in orange. Neither protein is localized to CCPs before agonist stimulation of the MOR. Once the MOR is activated, both β-arrestin and MOR cluster in CCPs, seen as distinct puncta that can be analyzed individually for their properties.
Here we describe the use of TIRFM to visualize clathrin-mediated endocytosis (CME) at the level of individual CCPs in living cells in real time. CME is a rapid and highly dynamic event mediated by the cumulative effect of many spatially and temporally separate individual events. Most assays that are currently used, such as biochemical measurements of internalization using surface biotinylation or ligand binding, flow-cytometry or fixed cells assays measuring amount of internalized proteins, or electron microscopic localization of proteins, monitor ensemble changes in protein localization at fixed time points. These existing methods have been very useful in identifying proteins that are necessary for CME, but lack the spatial and temporal resolution that matches the physiological scales of CME or other dynamic membrane trafficking processes. This is important, as recent evidence suggests that CCPs are heterogenous in their protein composition and dynamics9-12, and as CME is likely rapidly regulated in a spatially discrete manner. Live cell TIRFM provides the ability to analyze CME at the level of spatially separated single CCPs, in real time, in living cells.
Successful application of this powerful assay relies on two key factors: good health of the cells and thorough analysis of the parameters of CME. For the former, proper expression of tagged proteins and microscopy techniques minimizing phototoxicity are critical. Cell lines stably-expressing the proteins of interest are ideal, as the expression levels can be reliably estimated. We tag the receptors with either N-terminal Flag epitope or SpH tags21-25. While not strictly necessary, both labeling systems facilitate TIRFM of CME because receptors can be selectively detected on the plasma membrane at the start of the experiment. The desired additional endocytic components may also be transiently transfected into these stable cell lines. The transfection protocol noted here is optimized for imaging CME using TIRFM. First, it is tailored for even and moderate levels of expression. Poor expression necessitates higher laser power for detection and increases the risk for both phototoxicity and photobleaching. Further, since this assay records the disappearance of puncta as internalized CCPs, low signals and photobleaching are detrimental also to analysis. We suggest that, under these circumstances, the total duration and/or the frequency of imaging be reduced. Second, the short incubation of the transfection reagents on the cells, the interval between transfection and the experiment, and the fresh passage of transfected cells to coverslips before imaging, all ensure that the imaged cells are in optimal health. Third, this ensures that the majority of clathrin structures are CCPs, and not flat sheets of clathrin or clathrin plaques. Fourth, this protocol minimizes over-expression of transfected CME components, which has been shown to alter CME dynamics20,26.
For imaging with low phototoxicity, it is important to optimize the imaging system for optimal resolution and maximum sensitivity. The magnification of the objective and the camera detector size should be matched to minimize under- or oversampling and empty magnification. A high numerical aperture (1.45 or above) TIRF objective should be used to collect the maximum light possible. We acquire images with an electron-multiplying charge coupled device camera for high quantum efficiency, low exposure times, and fast readout speeds. Additionally, to ensure the health of the cells, they are imaged in Leibovitz media, which is buffered independent of CO2, and is supplemented with 10% FBS, in a fully enclosed chamber set to 37 °C. Because TIRFM is highly sensitive and the high numerical aperture objectives used can detect even minimal ambient light, it is critical to create an enclosed imaging environment free from external light and vibrations that may disrupt the fine focal plane.
It is important to note that the absolute lifetimes and dynamics of most components of CME vary heavily depending on cell types, expression levels of proteins, temperature, days after plating, and other variations in culture conditions7,10,14,17,20,25,27. This is reflected in the huge variations in the timescales and distributions observed between different groups using this technique, a clear limitation of this assay. Further, it is possible that CCPs on the bottom surface of the cell, imaged in TIRFM, behave differently from the top surface23,25. While it is debatable as to which surface accurately represents a 'typical' cell surrounded by extracellular matrix components in a tissue, interpretations of CCP dynamics seen by this technique need to consider this potential difference. The true strength of the assay, therefore, lies in comparing changes in dynamics of CCPs, in the same cells under identical culture conditions, after acute manipulations, including the clustering of cargo molecules such as GPCRs in response to activation. This comparison allows for normalization of the changes to the same cell, thereby controlling for all the parameters mentioned above that might induce variations in CCP behavior.
We typically employ both manual and automated analyses, described above, to analyze the duration of endocytic events: manual verification and objective recognition using the Imaris image analysis software. Manual verification is labor- and time-intensive, as it is limited by the number of CCPs a user can count, but it is arguably the most accurate technique available. A trained human eye can easily continue to track a CCP through cell movement, and changes in shape or focus, accurately excluding plaques and defective pixels. It can also detect morphological changes in the CCP indicative of completed events, as shown is Figure 3B and 3C. It is imperative, however, that the analysis remains objective as possible within these constraints. This requires the definition of specific criteria that are used consistently across all data sets. In addition, we typically analyze images in a double-blind manner, where the image names are scrambled so that the conditions remain unknown to the person analyzing the images. Automated detection, e.g. using the “Spots” and “Track Duration” algorithms in Imaris, can be used to detect most of the endocytic spots in a given movie, generating a high sample number. While many options, including highly complex custom-made algorithms3,14,23,26,27, are being generated, the reliability of these methods to detect correct endocytic events while avoiding spurious detection remains the biggest concern. For example, in Imaris, cell movement creating bright leading edges, plaques, and out of focus frames can easily throw off the spot-detection algorithm, as it has a tendency to detect bright structures as being composed completely of spots. In order to prevent these Spots from being connected into a track, they must all be removed. Single aberrant Spots that are not in large structures such as plaques may be removed with the Edit Spots tab, while Spots connected may be removed later using the Edit Tracks tab. The aberrant spots can also be removed with custom filters. For example, Figure 3D shows an intensity filter used to limit avoid including plaques in CCP detection. The Quality filter is another very useful filter for deleting erroneous spots. “Quality” is a cumulative measurement of brightness and shape found by taking the fluorescence intensity of the spot and Gaussian filtering by ¾ of the length of the spot radius20. The Quality curve is found underneath the selected filters. It depicts the number of spots (y) detected when the quality is a certain value (x). The lower the quality, the more spots detected. If the quality filter is too low, spots will be detected where there is no visible fluorescence, conversely, if the quality filter is too high, only the brightest spots will be detected. Follow along the curve towards greater values (x); the number of spots detected (y) will typically drop dramatically. Move the bottom threshold to this point. This is the minimum point to place the bottom threshold. Other major contributors to false spots in the TIRF field are endosomes that move to the periphery of the cell and enter the TIRF field. A robust criterion for removing these is the mobility of spots, i.e. the displacement of spots over time. CCPs move very little unless as part of the movement of the whole cell, while endosomes exhibit fast Brownian or directed movement. Newer algorithms, while significantly improved, are still being refined and optimized3,14,23,26,27. As these methods become more sophisticated and reliable, we can analyze hundreds or thousands of spots, without having to manually verify them at each point. Currently, however, we suggest that these two analyses be used together to complement each other for accuracy.
The protocol we have described can be easily adapted to answer many questions regarding cargo endocytosis. It can be used to perform simple co-localization of cargos with CME components, and used to show changes on specific components of the endocytic machinery due to particular stimuli. The assay can also easily be adapted for any endocytic process, such as caveolae28, that show discrete concentrations of cargo and coat components, and to the study of these fundamental processes in specialized cell types. In the future, as genome editing becomes more mainstream20,29,30, we anticipate that it will become the preferred method for tagging components, and that the dynamics and behavior of various components will be refined further. Considering that our understanding of cellular processes has been largely driven by the identification of genes, protein modifications, and interactomes, the assay we described here represents one of the next frontiers of enquiry, viz. the definition of the spatiotemporal dynamics of these processes and mechanisms.
The authors have nothing to disclose.
The authors would like to thank Drs. C. Szalinski, H. Teng, and M. Bruchez for help with Imaris, R. Vistein, and D. Shiwarski for technical help and advice, and Dr. M von Zastrow, Dr. T Kirchhausen, Dr. D Drubin, and Dr. W Almers for reagents and helpful discussion. Funding provided by T32 grant NS007433 to SLB and NIH DA024698 and DA036086 to MAP.
Name of Material/ Equipment | Company | Catalog Number | Comments/Description |
DMEM/High Glucose with L-glutamine and sodium pyruvate | Fisher Scientific | SH3024301 | |
Dulbecco's Phosphate Buffered Saline (DPBS), no calcium, no magnesium | Gibco, by Life Technologies | 21600-010 | |
EDTA Free Acid | Amresco | 0322-500G | |
Fetal Bovine Serum | Gibco, by Life Technologies | 10437-028 | |
Leibovitz's L-15 Medium, no phenol red | Gibco, by Life Technologies | 21083-027 | |
Opti-MEM | Gibco, by Life Technologies | ||
HEPES | CellPURE by Fisher Scientific | BP2937-100 | |
Effectene | Qiagen | 301425 | Transfection reagent |
25 millimeter coverglass | Fisher Scientific | 12-545-86 | |
Corning cell culture treated flasks, 25cm2 | Fisher Scientific | 10-126-28 | |
Cell culture 6-well plate | Greiner Bio-One, by VWR | 82050-896 | |
Monoclonal ANTI-FLAG M1 | Sigma Aldrich | F3040-5MG | |
[D-Ala2, N-Me-Phe4, Gly5-ol]-Enkephalin acetate salt (DAMGO) | Sigma Aldrich | E7384-5MG | |
Alexa Fluor 647 Protein Labeling Kit | Life Technologies | A20173 | |
ImageJ | NIH | http://rsb.info.nih.gov/ij/ | |
Imaris Image analysis software | BitPLane | http://www.bitplane.com/imaris/imaris, for automated analysis | |
Nikon Eclipse Ti inverted microscope and required accessories including filter cubes and filters | Nikon | ||
Nikon TIRF arm with required adapters for Nikon Eclipse Ti | Nikon | For adjusting angle of incidence | |
iXon+ EMCCD camera and adapters | Andor |