Jody L. Swift

Live-cell microscopy – tips and tools

Imaging of living cells and tissue is now common in many fields of the life and physical sciences, and is instrumental in revealing a great deal about cellular dynamics and function. It is crucial when performing such experiments that cell viability is at the forefront of any measurement to ensure that the physiological and biological processes that are under investigation are not altered in any way. Many cells and tissues are not normally exposed to light during their life cycle, so it is important for microscopy applications to minimize light exposure, which can cause phototoxicity. To ensure minimal light exposure, it is crucial that microscope systems are optimized to collect as much light as possible. This can be achieved using superior-quality optical components and state-of-the-art detectors. This Commentary discusses how to set up a suitable environment on the microscope stage to maintain living cells. There is also a focus on general and imaging-platform-specific ways to optimize the efficiency of light throughput and detection. With an efficient optical microscope and a good detector, the light exposure can be minimized during live-cell imaging, thus minimizing phototoxicity and maintaining cell viability. Brief suggestions for useful microscope accessories as well as available fluorescence tools are also presented. Finally, a flow chart is provided to assist readers in choosing the appropriate imaging platform for their experimental systems.

Revealing protein oligomerization and densities in situ using spatial intensity distribution analysis

Measuring protein interactions is key to understanding cell signaling mechanisms, but quantitative analysis of these interactions in situ has remained a major challenge. Here, we present spatial intensity distribution analysis (SpIDA), an analysis technique for image data obtained using standard fluorescence microscopy. SpIDA directly measures fluorescent macromolecule densities and oligomerization states sampled within single images. The method is based on fitting intensity histograms calculated from images to obtain density maps of fluorescent molecules and their quantal brightness. Because spatial distributions are acquired by imaging, SpIDA can be applied to the analysis of images of chemically fixed tissue as well as live cells. However, the technique does not rely on spatial correlations, freeing it from biases caused by subcellular compartmentalization and heterogeneity within tissue samples. Analysis of computer-based simulations and immunocytochemically stained GABAB receptors in spinal cord samples shows that the approach yields accurate measurements over a broader range of densities than established procedures. SpIDA is applicable to sampling within small areas (6 μm2) and reveals the presence of monomers and dimers with single-dye labeling. Finally, using GFP-tagged receptor subunits, we show that SpIDA can resolve dynamic changes in receptor oligomerization in live cells. The advantages and greater versatility of SpIDA over current techniques open the door to quantificative studies of protein interactions in native tissue using standard fluorescence microscopy.

Quantification of receptor tyrosine kinase transactivation through direct dimerization and surface density measurements in single cells

Cell signaling involves dynamic changes in protein oligomerization leading to the formation of different signaling complexes and modulation of activity. Spatial intensity distribution analysis (SpIDA) is an image analysis method that can directly measure oligomerization and trafficking of endogenous proteins in single cells. Here, we show the use of SpIDA to quantify dimerization/activation and surface transport of receptor protein kinases—EGF receptor and TrkB—at early stages of their transactivation by several G protein-coupled receptors (GPCRs). Transactivation occurred on the same timescale and was directly limited by GPCR activation but independent of G-protein coupling types. Early receptor protein kinase transactivation and internalization were not interdependent for all receptor pairs tested, revealing heterogeneity between groups of GPCRs. SpIDA also detected transactivation of TrkB by dopamine receptors in intact neurons. By allowing for time and space resolved quantification of protein populations with heterogeneous oligomeric states, SpIDA provides a unique approach to undertake single cell multivariate quantification of signaling processes involving changes in protein interactions, trafficking, and activity.

Quantification of Receptor Tyrosine Kinase Activation and Transactivation by G-Protein-Coupled Receptors Using Spatial Intensity Distribution Analysis (SpIDA)

This chapter presents a general approach for the application of spatial intensity distribution analysis (SpIDA) to the pharmacodynamic quantification of receptor tyrosine kinase homodimerization in response to direct ligand activation or transactivation by G-protein-coupled receptors. Intensity histograms are generated from single fluorescence microscopy images. These histograms are then fit with Poissonian distributions to obtain density maps and quantal brightness values of the labeled proteins underlying the images. This approach allows resolving monomer/oligomer protein mixtures within subcellular compartments using conventional confocal laser scanning microscopy. The application of quantitative pharmacological analysis to data obtained using SpIDA provides a universal method for comparing studies between cell lines and receptor systems. In contrast to methods based on resonance energy transfer, SpIDA is suitable not only for use in recombinant systems but also for the characterization of mechanisms involving endogenous proteins. Therefore, SpIDA enables these biological processes to be monitored directly in their native cellular environment.

Ligand-induced clustering of EGF receptors: a quantitative study by fluorescence image moment analysis.

Fluorescence microscopy is widely used in the life sciences, but largely for qualitative imaging. Here we apply a bioanalytical technique, fluorescence image moment analysis, to demonstrate how the distribution of the fluorescent molecules can be measured directly from confocal microscopy images. We measured the oligomerization state of EGF-eGPF receptors expressed in CHO-K1 cells in situ.

Spatial intensity distribution analysis (SpIDA): a new tool for receptor tyrosine kinase activation and transactivation quantification.

This chapter presents a general approach for the application of spatial intensity distribution analysis (SpIDA) to pharmacodynamic quantification of receptor tyrosine kinase homodimerization in response to direct ligand activation or transactivation by G protein-coupled receptors. A custom graphical user interface developed for MATLAB is used to extract quantal brightness and receptor density information from intensity histograms calculated from single fluorescence microscopy images. This approach allows measurement of monomer/oligomer protein mixtures within subcellular compartments using conventional confocal laser scanning microscopy. Application of quantitative pharmacological analysis to data obtained using SpIDA provides a universal method for comparing studies between cell lines and receptor systems. In addition, because of its compatibility with conventional immunostaining approaches, SpIDA is suitable not only for use in recombinant systems but also for the characterization of mechanisms involving endogenous proteins. Therefore, SpIDA enables these biological processes to be monitored directly in their native cellular environment.

Fluorescence microscopy investigations of ligand propagation and accessibility under adherent cells

Fluorescence microscopy methods including total internal reflection fluorescence and confocal laser scanning microscopy have played a major role in modern cell biology research by permitting imaging of fluorescently tagged macromolecules in living cells. These methods are often used to examine the initial events in signal transduction, which involve interactions occurring between membrane receptors and ligands such as antibodies and growth factors. Most quantitative biophysical applications using these fluorescence imaging methods, including ligand binding assays, are based on the assumption that the fluorophore label of interest has equal access to all areas of the membrane on the cell. Our findings suggest that there is limited accessibility of fluorophores (25±2%)- under the basal membrane of adherent CHO-K1 cells expressing epidermal growth factor receptor plated on a bare glass in standard two-dimensional tissue cultures. The authors present a detailed study of the extent to which a small fluorescent dye molecule (Alexa 647) is able to propagate under the basal membrane of cells plated on a variety of biologically compatible substrates: fibronectin, bovine serum albumin, poly-d-lysine, collagen I, collagen IV, GeltrexTM, and fibronectin such as binding polymer. For nonspecific dye propagation the best overall accessibility was achieved using a thin layer preparation of a commercially available basement membrane matrix, GeltrexTM (67±8%). Coupling of a specific high affinity ligand (epidermal growth factor) to the dye did result in a moderate increase in propagation for most substrates examined. Despite the overall increase in propagation for most substrates (60%-80%), large areas under the central regions of the adherent cells still remained inaccessible to the fluorescently labeled ligand. More importantly, the presence of the specific ligand did not result in consistent increase in ligand propagation. Taken together these results suggest that the reduced accessibility is not exclusively due to steric effects, and the chemistry of both the ligand and the substrate may be important when working under conditions of reduced dimensionality. a) Electronic mail: jody.swift@mail.mcgill.ca b) Electronic mail: paul.wiseman@mcgill.ca

A quantum dot-labeled ligand-receptor binding assay for G protein-coupled receptors contained in minimally purified membrane nanopatches.

A robust method to directly measure ligand-receptor binding interactions using fluorescence cross-correlation spectroscopy (FCCS) is described. The example receptor systems demonstrated here are the human micro-opioid receptor, a representative G protein-coupled receptor (GPCR), and Streptavidin, but these general protocols can be extended for the analysis of many membrane receptors. We present methods for the preparation of GPCR-containing membrane nanopatches that appear to have the shapes of nanovesicles, labeling of proteins in membrane vesicles, in addition to the coupling of quantum dots (QDs) to peptide ligands. Further, we demonstrate that reliable binding information can be obtained from these partially purified receptors.