Welcome guest, Sign in
Home
Fluorescence live-cell imaging by single molecule localization microscopy (SMLM) or fluorescence lifetime imaging microscopy (FLIM) in principle allows for the spatio-temporal observation of molecular patterns in individual, living cells. However, the dynamics of molecules within cells hamper their precise observation. We present here a detailed protocol for consecutive cycles of reversible cryo-arrest of living cells on a microscope that allows for a precise determination of the evolution of molecular patterns within individual living cells. The usefulness of this approach has been demonstrated by observing ligand-induced clustering of receptor tyrosine kinases as well as their activity patterns by SMLM and FLIM (Masip et al., 2016).
Thanks for your further question/comment. It has been sent to the author(s) of this protocol. You will receive a notification once your question/comment is addressed again by the author(s). Meanwhile, it would be great if you could help us to spread the word about Bio-protocol.
[Abstract] Fluorescence live-cell imaging by single molecule localization microscopy (SMLM) or fluorescence lifetime imaging microscopy (FLIM) in principle allows for the spatio-temporal observation of molecular patterns in individual, living cells. However, the dynamics of molecules within cells hamper their precise observation. We present here a detailed protocol for consecutive cycles of reversible cryo-arrest of living cells on a microscope that allows for a precise determination of the evolution of molecular patterns within individual living cells. The usefulness of this approach has been demonstrated by observing ligand-induced clustering of receptor tyrosine kinases as well as their activity patterns by SMLM and FLIM (Masip et al., 2016).
Keywords: Cryo-arrest, Fixation, Superresolution, Single molecule localization, FLIM
[Background] Understanding molecular processes in cells, e.g., the ligand-induced response of receptor-tyrosine kinases (RTKs), requires the precise spatio-temporal observation of molecular patterns. Due to variance in cellular states, this response needs to be monitored in individual cells rather than in cell populations (Snijder and Pelkmans, 2011). Using SMLM, individual molecules can be localized with high precision (Betzig et al., 2006). This allows, for instance, extracting information about the clustering of RTKs in the plasma membrane. Complementarily, confocal FLIM can unveil how molecules react as an ensemble within a diffraction-limited volume element. This can reveal interaction patterns of RTKs with downstream molecules, phosphorylation patterns as well as activity patterns by the use of conformational sensors (Offterdinger et al., 2004; Sabet et al., 2015). However, the acquisition time in FLIM and SMLM is in the order of minutes. Because many molecular arrangements in living cells–including those of RTKs–evolve on a much faster time scale, confocal FLIM images get blurred and spatial resolution is reduced severely (Masip et al., 2016). In SMLM, molecules are localized successively in consecutive frames. Performing these measurements on dynamic molecules in living cells will lead to a falsified image of localizations since molecules diffuse to different positions in the course of data acquisition. For instance, the epidermal growth factor receptor (EGFR) moves on average with a diffusion constant of 2-5 10-2 μm2/sec in the 2D environment of the membrane (Orr et al., 2005; Xiao et al., 2008). To allow for long acquisition times, irreversible chemical fixation with aldehydes is typically used. Yet, the use of chemical fixation agents is inefficient in immobilizing membranes and can lead to protein extraction or artificial clustering (Saffarian et al., 2007; Tanaka et al., 2010; Schnell et al., 2012). Further, the lethal fixation disrupts the out-of-equilibrium physiological state and prohibits the observation of the evolution of molecular patterns within an individual cell. We have therefore developed a reversible cryo-arrest that halts molecular movements for high-resolution imaging, yet maintains cells in a viable state. Upon cooling, the concentration of cryoprotective dimethyl sulfoxide (DMSO) is increased stepwise (Masip et al., 2016). This precludes the formation of ice crystals that can be lethal to cells while scattering light and altering cellular structure by displacing organic material (Dubochet et al., 1988 and 2012; Huebinger et al., 2016). At the same time, adding DMSO at low temperatures greatly reduces its toxicity (Farrant, 1965). A further advantage of the cryo-approach is that fluorophores become less reactive in the excited state, resulting in the emission of more photons before bleaching as well as a lowered production of cytotoxic radicals (Kaufmann et al., 2014), which can severely damage cells during acquisition at physiological temperatures (Wäldchen et al., 2015).
Materials and Reagents
Equipment
Software
Procedure
Data analysis
Reversible cryo-arrest is compatible with almost every fluorescence microscopy technique. Therefore, the data analysis will depend on the microscopy performed under cryo-arrest. So far reversible cryo-arrest has been applied with SMLM and FRET-FLIM. Details about the analysis of this can be found in the freely available authors version of Masip et al., 2016 (Europe PubMed Central plus, Manuscript #69708). In brief, SMLM images may be reconstructed using the ThunderSTORM Plugin (Ovesny, Bioinformatics, 2014) for ImageJ (Rasband, ImageJ, National Institutes of Health, Bethesda, Maryland, USA). For FRET-FLIM data it is recommended to quantify the fraction of fluorescent molecules that undergo FRET in each pixel on the image by global analysis (Grecco et al., 2009).
Notes
Recipes
Acknowledgments
The authors would like to thank Michael Reichl and Petra Glitz for excellent technical support, the workshop of the Max-Planck Institute of Molecular Physiology for construction of custom parts, Astrid Krämer for critical proofreading of the manuscript and Sven Müller for photographic images of the setup. This study was funded by the Fraunhofer Society and the Max-Planck Society for the Promotion of Science in the joint initiative ‘CryoSystems’ and the European Research Council (ERC AdG 322637). This protocol is based on a previously published protocol (Masip et al., 2016).
References
Bio-protocol's major goal is to make reproducing an experiment an easier task. If you have used this protocol, it would be great if you could share your experience by leaving some comments, uploading images or even sharing some videos. Please login to post your feedback.
Login | Register
View Original Delete
Please login to post your questions/comments. Your questions will be directed to the authors of the protocol. The authors will be requested to answer your questions at their earliest convenience. Once your questions are answered, you will be informed using the email address that you register with bio-protocol. You are highly recommended to post your data (images or even videos) for the troubleshooting. For uploading videos, you may need a Google account because Bio-protocol uses YouTube to host videos.