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The method presented here takes advantage of recent advances in cryosection-based on-section CLEM - the high sensitivity of IF labeling and accurate (<100 nm error) correlation between FM and EM14,24. This results in a method with the sensitivity to fluorescently label scarce, endogenous proteins and the capability to overlay this with high precision to the EM ultrastructure. Thus, this method avoids the need for (over)expression of exogenously tagged proteins and the use of less sensitive EM labels. The feasibility of the method is shown by examples of CLEM on endogenous LC3 in starved cells, without the use of lysosomal inhibitors.
Thawed cryosections obtained with the Tokuyasu method are ideal samples for immuno-EM, as unlike resin sections, they are permeable for antibodies. Combined with mild fixation and contrasting procedures, this generally yields superb labeling efficiency over other methods without compromising the detailed ultrastructure, and excellently visualizes cellular membranes12,25,26. Moreover, cryosections are highly compatible with fluorescence microscopy, which make them valuable substrates for CLEM. Both classic immunogold labeling and CLEM on cryosections have provided seminal insights in understanding subcellular organization14,27,28,29,30.
Currently, applications of CLEM on thawed cryosections are becoming more prevalent, as a result of continuous developments and optimizations14,20,24,31,32,33,34 that have improved the quality, applicability, and accuracy of the approach. Now, by accurate correlation of large IF and EM image tilesets, the technique facilitates screening for the ultrastructure of fluorescently-labeled endogenous cellular components14,32,33. This is an advantage over classic immuno-EM, where the search for gold-labeled structures typically requires high magnification and is, therefore, more laborious and time-intensive. It is for this reason that localization of LC3 to the ultrastructure greatly benefits from CLEM. LC3-positive organelles are common when autophagic clearance is blocked (i.e., when cells are treated with BafA1 or pH-raising agents), whereas autophagic organelles are rapidly cleared in unaltered or starved cells, resulting in very low steady-state levels. In such conditions, finding LC3-labeled organelles using classical immuno-EM can be challenging, and CLEM offers a clear advantage.
Previously, CLEM on resin sections was applied in studies using ectopic expression of LC3-GFP or an LC3-GFP-RFP tandem probe35,36,37,38,39. In these studies, fluorescence imaging was performed prior to embedding or directly in acrylic resin sections40, and samples were subsequently screened by EM. There are several advantages of resin embedding; the autophagosomal ultrastructure is generally well-preserved, especially if the material is high-pressure frozen40. Moreover, the contrast of heavy metal-stained resin-embedded material is generally more pronounced than that of uranyl-stained cryosections. Resin-embedded sections are compatible with volumetric EM methods, such as array tomography, FIB-SEM, or serial blockface SEM, while cryosections are not. In approaches that perform imaging before embedding, live-cell imaging is an option41 that is not available in CLEM on cryosections. The key advantage of CLEM on cryosections over these alternatives is the high IF signal, allowing for immuno-localization of rare proteins without the need for membrane permeabilization or overexpression. This avoids potential membrane extraction, overexpression artefacts42 and genetic modification of the subject, which, combined with the possibility to correlate large areas in IF and EM, makes it an excellent tool to study LC3 and autophagy.
Here, the application of on-section CLEM to starved HEPG2 cells revealed that LC3 predominantly localized to structures identified as autophagosomes. Additionally, a few weakly fluorescent spots were found in autolysosomes. This is in direct contrast to cells treated with BafA19 and reflects the rapid degradation of autophagosomal proteins once the autophagosome fuses with lysosomes. Overall, the data demonstrated that CLEM of thawed cryosections can provide insights on LC3-mediated autophagy in native conditions. The data also highlight the sensitivity of the technology, since LC3 was detected even in autolysosomes that contain only low levels of intact LC3 epitopes. Further application of this technique by imaging LC3 in different models and conditions will improve our understanding of autophagy and other LC3-mediated biological processes, such as LC3-associated phagocytosis or conjugation of ATG8 to single membranes.
Beyond autophagy, on-section CLEM can be applied to other rare events or structures, such as cell division, infection, rare cell types in tissues, kinetochores, primary cilia, or cell type-specific organelles. Effective screening for the subject of interest by IF can greatly facilitate the ultrastructural study of these rarities. Furthermore, it was shown14 that the technique can be used to localize proteins in a more sensitive manner than classical immuno-EM. Adjusting the fixation length can further extend this sensitivity, allowing for the ultrastructural localization of very low-abundant or poorly antigenic proteins. Finally, the on-section CLEM method eases rapid selection of a quantitative number of organelles, facilitating a more robust analysis of the ultrastructural distribution of a given protein.
CLEM on cryosections requires the equipment and expertise for cryosectioning. In groups with access to these tools (e.g., cryomicrotomes), the implementation of on-section CLEM is straightforward and only requires the availability of an automated widefield microscope, a setup most labs have access to. Furthermore, the method is available in EM facilities worldwide. Since on-section CLEM combines the application of established IF and EM methods, the method is easily adapted and can be combined with, for example, tomography20,33,43, serial section volume EM of a limited number of sections44, or super-resolution microscopy45. This versatility of the method supports applications to a wide range of biological questions.