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Method Article
Time-lapse microscopy of fluorescently labeled autophagy markers allows monitoring of the dynamic autophagy response with high temporal resolution. Using specific autophagy and organelle markers in a combination of 3 different colors, we can follow the contribution of a protein to autophagosome formation in a robust spatial and temporal context.
Autophagy is a cellular response triggered by the lack of nutrients, especially the absence of amino acids. Autophagy is defined by the formation of double membrane structures, called autophagosomes, that sequester cytoplasm, long-lived proteins and protein aggregates, defective organelles, and even viruses or bacteria. Autophagosomes eventually fuse with lysosomes leading to bulk degradation of their content, with the produced nutrients being recycled back to the cytoplasm. Therefore, autophagy is crucial for cell homeostasis, and dysregulation of autophagy can lead to disease, most notably neurodegeneration, ageing and cancer.
Autophagosome formation is a very elaborate process, for which cells have allocated a specific group of proteins, called the core autophagy machinery. The core autophagy machinery is functionally complemented by additional proteins involved in diverse cellular processes, e.g. in membrane trafficking, in mitochondrial and lysosomal biology. Coordination of these proteins for the formation and degradation of autophagosomes constitutes the highly dynamic and sophisticated response of autophagy. Live cell imaging allows one to follow the molecular contribution of each autophagy-related protein down to the level of a single autophagosome formation event and in real time, therefore this technique offers a high temporal and spatial resolution.
Here we use a cell line stably expressing GFP-DFCP1, to establish a spatial and temporal context for our analysis. DFCP1 marks omegasomes, which are precursor structures leading to autophagosomes formation. A protein of interest (POI) can be marked with either a red or cyan fluorescent tag. Different organelles, like the ER, mitochondria and lysosomes, are all involved in different steps of autophagosome formation, and can be marked using a specific tracker dye. Time-lapse microscopy of autophagy in this experimental set up, allows information to be extracted about the fourth dimension, i.e. time. Hence we can follow the contribution of the POI to autophagy in space and time.
Autophagy is a highly dynamic process, which requires the coordination of a large number of proteins for the final outcome of autophagosome formation1-3. Microscopy is probably the technique most commonly applied for studying autophagy4. The localization of most autophagy proteins has been extensively studied in fixed cells, both by immuno-staining the endogenous proteins and by expression of fluorescently tagged exogenous protein. In addition, Electron Microscopy (EM), alone and in combination with immuno-gold labeling, has described the fine details of these structures5,6 . Despite the fact that these techniques have established our understanding of autophagosome formation in the 3 dimensions of space, they have failed to provide sufficient amount of information about the 4th dimension - time. Live cell imaging overcomes this barrier as it allows following the formation of an autophagosome as close as possible to real time7. This technique was first employed to study autophagy by Yoshimori and colleagues8, and has been increasingly used henceforth.
Time-lapse microscopy captures the localization of the POI in live cells and over a period of time. By comparing this information with a well-characterized autophagy and/or organelle marker, live cell imaging analysis can put the POI in the greater spatial and temporal context of autophagosome formation. Live cell imaging analysis is based on the repetitive capturing of the POI localization along all the steps of autophagosome formation, while imaging of fixed cells is based on a single capture. Therefore, live cell imaging can prove the contribution of the POI at specific steps of autophagosome formation, while imaging of fixed cells can only assume the role of POI, based on its average localization in many autophagosomes simultaneously captured at different stages of their lifecycle.
Although live cell imaging is a method of high analytical power, it has some inherent limitations, which should be taken into consideration. First of all, live cell imaging requires the expression of one or more exogenous fluorescently labeled proteins. Fluorescent tags tend to be big in size and they can sometimes alter the behavior of a protein due to steric reasons. This situation is accentuated for membrane proteins, as they need to function in the limited space of the 2 dimensions of membranes. Of note, autophagosomes are membranous structures, and accordingly their formation requires a large number of membrane-associated proteins.
Another set of problems is connected to the expression levels of the POI. In principle, an exogenous protein should be expressed at levels comparable to the endogenous protein. This ensures that important regulators of its sub-cellular localization will not be saturated, and the analysis will be biologically relevant. Moreover, overexpression of autophagy proteins should be avoided, as when they are expressed above the endogenous levels, they tend to inhibit the autophagy response9. Conversely, since the expression levels of the POI should be high enough to allow following its localization for a good period of time without photo-bleaching, a compromise has to be reached. Achieving the optimal expression levels of an exogenous protein in mammalians cells requires a lot of fine tuning, but it is feasible by establishing and screening cell lines stably expressing different levels of the POI.
The spatial resolution that can be achieved with standard fluorescence microscopy is another limiting factor. Resolution may be limited for a number of reasons, but at best, lateral resolution will be around 250 nm. This means that any objects separated by a distance smaller than this will appear connected (or as a single object) and objects smaller than 250 nm will be represented in the image larger than they actually are. Therefore images should always be interpreted with this in mind and complementary techniques such as EM will be required to resolve fine ultra-structural detail.
Finally, live cell imaging inherently requires exposing a cell to light, potentially for a prolonged period of time. This may alter the physiological responses of a cell, a phenomenon known as photo-toxicity.
We have successfully used live cell imaging of the PI3P-binding protein DFCP1 to describe for the first time that autophagosomes originate from PI3P-rich ring-like structures termed omegasomes, which are in close association with ER strands10,11 . We have clearly shown that LC3-positive structures start forming in close association with omegasomes. We here suggest that employing a cell line stably expressing GFP-DFCP1 for the live cell imaging of the protein of interest, establishes a robust spatial and temporal frame for the characterization of its role in autophagosome formation.
1. Cell Preparation
2. Cell Transfection
3. Cell Incubation with the Organelle Marker (Optional)
4. Preparation of Incubation Chamber for Live Cell Imaging (Figure 1)
5. Starvation of Cells
6. Microscopy
7. Creating Montages of Autophagosome Formation Events with ImageJ
(Note: This can be done in a non-systematic way by simply scanning the merged video for events of interest, but it can also be systematized as outlined below.)
In the protocol described, we have used time-lapse microscopy to follow the localization of CFP-tagged LC3 in a cell line stably expressing GFP-tagged DFCP1, under autophagy inducing conditions. The outcome of this experiment is the capture of 2 series or stacks of images, one from the green and one from the blue channel, corresponding to GFP-DFCP1 and CFP-LC3. We have further analyzed these videos using ImageJ, in order to create montages corresponding to single autophagosome formation events, as described in the...
The method described in this protocol allows the visualization of a protein's localization during autophagosome formation. We have tried various methods of visualizing the events described including point-scanning confocal, spinning disk confocal and Total Internal Reflection Fluorescence (TIRF) microscopy. We have found that for general purposes standard wide-field epi-fluorescence provides the best compromise between sensitivity and resolution. This ensures good signal to noise, minimal photo-bleaching/photo-to...
No conflicts of interest declared.
Our work is supported by the Biotechnology and Biological Sciences Research Council. We would like to thank Prof Tamotsu Yoshimori for kindly supplying us with the plasmid for the expression of CFP-LC3.
Name | Company | Catalog Number | Comments |
DMEM | Invitrogen | 41965 | |
OptiMEM I | Invitrogen | 31985-062 | |
MitoTracker Red FM | Invitrogen | M22425 | |
LysoTracker Red DND-99 | Invitrogen | L-7528 | |
X-tremeGENE 9 DNA Transfection Reagent | Roche Applied Science | 6365787001 | |
22 mm coverslips | VWR | 631-0159 | |
35 mm plates | Fisher NUNC | 153066 | |
Silicon grease | RS Components Ltd. | RS 494-124 | |
O-rings | Custom made | ||
Attofluor Cell Chamber | Invitrogen | A-7816 | Suggested alternative to custom-made O-rings |
Microscope | Olympus | IX81 | Inverted microscope |
Objective | Olympus | UPLSAPO 100XO | N.A. 1.4, W.D. 0.13, FN 26.5 |
Camera | Hamamatsu | ORCA-R2 C10600 10B | Progressive scan interline CCD |
Illuminator | TILL Photonics | Polychrome V | Ultrafast monochromator |
Incubation chamber | Solent Scientific | Cell^R IX81 | |
Software | Olympus | SIS xcellence |
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