Method Article

Imaging Local Ca2+ Signals in Cultured Mammalian Cells

DOI:

10.3791/52516

March 3rd, 2015

In This Article

Summary

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Here we present techniques for imaging local IP3-mediated Ca2+ events using fluorescence microscopy in intact mammalian cells loaded with Ca2+ indicators together with an algorithm that automates identification and analysis of these events.

Abstract

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Cytosolic Ca2+ ions regulate numerous aspects of cellular activity in almost all cell types, controlling processes as wide-ranging as gene transcription, electrical excitability and cell proliferation. The diversity and specificity of Ca2+ signaling derives from mechanisms by which Ca2+ signals are generated to act over different time and spatial scales, ranging from cell-wide oscillations and waves occurring over the periods of minutes to local transient Ca2+ microdomains (Ca2+ puffs) lasting milliseconds. Recent advances in electron multiplied CCD (EMCCD) cameras now allow for imaging of local Ca2+ signals with a 128 x 128 pixel spatial resolution at rates of >500 frames sec-1 (fps). This approach is highly parallel and enables the simultaneous monitoring of hundreds of channels or puff sites in a single experiment. However, the vast amounts of data generated (ca. 1 Gb per min) render visual identification and analysis of local Ca2+ events impracticable. Here we describe and demonstrate the procedures for the acquisition, detection, and analysis of local IP3-mediated Ca2+ signals in intact mammalian cells loaded with Ca2+ indicators using both wide-field epi-fluorescence (WF) and total internal reflection fluorescence (TIRF) microscopy. Furthermore, we describe an algorithm developed within the open-source software environment Python that automates the identification and analysis of these local Ca2+ signals. The algorithm localizes sites of Ca2+ release with sub-pixel resolution; allows user review of data; and outputs time sequences of fluorescence ratio signals together with amplitude and kinetic data in an Excel-compatible table.

Introduction

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Calcium ions (Ca2+) ubiquitously regulate a diverse range of biological processes, including gene expression, secretion and long-lasting changes in synaptic plasticity1. One way through which Ca2+ can act in such a diverse manner is through the different spatial and temporal patterns of Ca2+ signals a cell can generate. For example global elevations in cytosolic [Ca2+] trigger contraction in smooth muscle tissue2 whereas smaller, localized transient elevations (local Ca2+ microdomains) stimulate gene expression essential for learning and memory3.

Free cytosolic [Ca2+] is maintained at ~100 nM at rest, but can rapidly rise to several micro-molar following the influx of Ca2+ into the cytosol through Ca2+-permeable ion channels located in the plasma membrane and by the liberation of Ca2+ from intracellular stores. Our lab focuses on the inositol 1,4,5-trisphosphate receptor (IP3R), which forms a Ca2+ release channel located in the endoplasmic reticulum (ER) membrane. Upon binding of both IP3 and Ca2+ to the cytosolic activating sites of the receptor, the IP3R channel opens to liberate Ca2+ sequestered within the ER lumen. The release of Ca2+ may remain spatially restricted to a small cluster of IP3Rs to generate a local cytosolic microdomain of Ca2+ (Ca2+ puff4) or, depending on the proximity of neighboring clusters of IP3Rs, may propagate throughout a cell by recruiting multiple puff sites through a process of Ca2+-induced Ca2+-release (CICR)5,6.

The introduction of fluorescent small molecule Ca2+ indicator dyes developed by Roger Tsien7, coupled with advanced microscopy imaging techniques, has greatly facilitated our understanding of Ca2+ signaling. Recent advances in cameras used for microscopy now allow for imaging transient local Ca2+ events such as puffs with unprecedented spatial and temporal resolution. Currently available EMCCD cameras enable imaging with 128 x 128 pixels at >500 frames sec-1 (fps) and the new generation of complementary metal-oxide semiconductor (CMOS) cameras provide higher pixel resolution, and even faster speed at the expense of slightly higher noise levels. In conjunction with total internal reflection (TIRF) microscopy it is now possible to image single Ca2+ channel events8,9. This approach allows for the imaging of hundreds of channels/events simultaneously, while generating large data sets (ca. 1Gb per min) that render manual processing, visual identification and analysis impracticable and place an onus on the development of automated algorithms.

Here, we present procedures and protocols for imaging local Ca2+ signals in intact mammalian cells using fluorescent Ca2+ indicators. We further demonstrate an algorithm developed in the open-source environment Python that automates identification and analysis of local Ca2+ events imaged by both TIRF and conventional wide field epi-fluorescence (WF) microscopy. Although we describe these approaches in the context of IP3-generated Ca2+ signals, they are readily amenable to study local changes in cytosolic [Ca2+] emanating from a variety of Ca2+-permeable ion channels located in either the surface membrane or intracellular organelles8-10.

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Protocol

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We present detailed procedures for imaging local Ca2+ events in human neuroblastoma SH-SY5Y cells. These procedures can be adapted to image intracellular Ca2+ signals in many cell types8-10.

1. Preparation of Cells

  1. Culture the cells to be imaged according to instructions listed on their supplier’s website.
  2. A few days prior to imaging, harvest cells grown in a tissue culture flask using 1 ml of 0.25% Trypsin/EDTA (2-3 min). Following detachment, add an equal volume of culture media to inactivate the trypsin.
  3. Perform a cell count using a hemocytometer and seed cells into glass-bottom imaging dishes at a density of 3-7 x 104 cells per dish. Select cells for imaging experiments when they reach 60% confluence (2-3 days).

2. Preparation of Solutions and Reagents

  1. Prepare a Ca2+-containing HEPES buffered salt solution (Ca2+-HBSS) composed of (mM): 135 NaCl, 5.4 KCl, 2 CaCl2, 1 MgCl2, 10 HEPES, and 10 glucose; pH=7.4 at room temperature (RT) with NaOH. Prepare Ca2+-HBSS without the addition of glucose and store at 4 °C; add glucose to the solution immediately prior to use.
  2. Solubilize membrane-permeant forms of the fluorescent Ca2+ indicator Cal-520 (1 mM), ci-IP3 (200 µM), and EGTA (100 mM) in dimethyl sulfoxide (DMSO) containing 20% pluronic F-127. Aliquot these reagents into Eppendorf tubes and store, shielded from moisture and light, at -20 °C.

3. Loading Cells with Membrane-permeant Cal-520, ci-IP3 and EGTA

  1. Prepare the “loading buffer” by diluting stock solutions of membrane-permeant Cal-520 and ci-IP3 to a final concentration of 5 µM and 1 µM, respectively, in Ca2+-HBSS.
  2. Aspirate culture media and rinse cells by replacing media with Ca2+-HBSS three times.
  3. Remove Ca2+-HBSS and incubate cells in loading buffer for 60 min at RT in the dark.
  4. Remove loading buffer and rinse cells by replacing media with Ca2+-HBSS three times.
    1. If desired, at this step, load cells with EGTA/AM by diluting the stock solution to a final concentration of 5 µM in Ca2+-HBSS and then incubate cells for 30-60 min at RT in the dark. Following this incubation, rinse cells three times with Ca2+-HBSS before proceeding to step 3.5.
  5. Incubate cells in Ca2+-HBSS for 30 min to allow for de-esterification of loaded reagents.
  6. Immediately prior to imaging, replace Ca2+-HBSS with “fresh” Ca2+-HBSS in order to remove any dye that might have leaked into the bath during the final incubation.

4. Ca2+ Image Acquisition

  1. Place a small drop of immersion oil onto the 100X APO TIRF objective (NA 1.49).
  2. Mount the imaging dish on the stage of the inverted microscope and bring the cells into focus using transmitted light. It is important to secure the imaging dish to prevent movement during recording.
  3. Illuminate cells with a 488 nm laser in order to excite Cal-520 and collect emitted fluorescence (λ >510 nm) using a high-speed EMCCD camera.
    NOTE: The software package that operates the microscope allows the user to translate a focusing lens allowing the laser beam to be introduced either at the extreme edge of the objective back aperture (for TIRF excitation) or more centrally (for “WF” excitation).
  4. Using the EMCCD software, reduce the imaging field from the full 512 x 512 pixels in order to collect data at the necessary temporal resolution to capture local Ca2+ events.
    NOTE: For example, center quad acquisition of 256 x 256 pixels speeds up the acquisition rate to 66 fps. It is also possible to further increase the frame rate of the EMCCD camera to 500 fps using an Isolated Crop Mode function.
  5. Configure the software to automatically record a few seconds of baseline activity, deliver a UV flash to the cells and continue recording for another 10-30 sec.
    NOTE: A UV flash is delivered using a Xenon arc light source introduced through a UV reflecting dichroic mirror in the rear port of the microscope. The duration and intensity of the UV flash is adjusted empirically to evoke a desired frequency of local Ca2+ events.
  6. Save files as image stacks for off-line analysis.

5. Automated Ca2+ Image Analysis

NOTE: It is possible to view, process and analyze captured data using many commercial software packages. However, we have developed an algorithm to rapidly automate identification and analysis of local Ca2+ signals. A detailed description of the spatial and temporal filters used in this algorithm, generation of the ΔF/F0 and identification/analysis routines can be found in11. This algorithm has been developed to run on the open-source software platform Python, and can be obtained, together with sample experimental data and detailed user instructions, by e-mailing the corresponding author (ismith@uci.edu).

  1. Convert files to be imported into the custom-written algorithm to the multi-plane .tiff file format.
  2. Locate the folder containing the analysis algorithm and double click the run.exe.
  3. Select the .tiff file to be analyzed.
  4. Choose analysis parameters in the open dialog box. See Figure 2A for default parameters for the sample data.
  5. Determine the black level to be offset from the image stack by either moving the cursor to a part of the field of view that does not contain a cell (see Figure 2B) or by manually entering a black level using the ‘Set Black Level’ prompt.
  6. Observe four windows on the screen following analysis by the software (Figure 2C-F). C is a monochrome image of resting fluorescence from cells being analyzed. White squares superimposed on this image are event locations, determined as the centroid positions of two-dimensional Gaussian functions fitted to events.
  7. Click on each event location or press the cursor keys to cycle between events. Upon doing so the background-subtracted, Gaussian smoothed fluorescence ratio changes (ΔF/F0) at each of these sites update in window D.
    NOTE: Red highlighted events are determined to originate from that particular site and not from ‘bleed-through’ from activity localized to adjacent sites. The lower blue trace indicates where the fluorescence signal at the selected site exceeded the detection threshold, whereas the black line identifies events originating from that particular site (corresponding to the red highlighted events).
  8. Click on a red highlighted event to update window E that displays the temporal evolution of the event, and window F which displays the spatial profile of the event averaged over its time course, together with the spatial profile of the fitted Gaussian function.
  9. Manually review the events that have been identified so that artifacts can be rejected from analysis. Delete such events by right clicking the red highlighted events.
    NOTE: In our hands, Ca2+ flux through single IP3R channels evokes signals with ΔF/F0 about 0.11, so any detected ‘events’ appreciably smaller than this are likely to be false positives.
  10. Export data by selecting ‘Save to Excel’ or export data on a per cell basis by drawing around the cell of interest and selecting ‘Save Cell’.
    NOTE: Data are saved to the same folder as the original image stack.

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Results

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Figure 1A shows a WF image of resting Cal-520 fluorescence in human neuroblastoma SH-SY5Y cells also loaded with ci-IP3. Exposure of these cells to a 100 msec UV flash to photo-release i-IP3 elicited transient Ca2+ puffs at discrete sites (noted by the white circles in Figure 1A). Fluorescence traces measured at these sites showed a rapid rising phase owing to transient openings of IP3Rs, followed by a much slower falling phase (Figure ...

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Discussion

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We describe here protocols for imaging local Ca2+ events in cultured mammalian cells using fluorescent Ca2+ indicators. Furthermore, we describe an algorithm with an intuitive user interface that automates identification and analysis of acquired data. The procedure described here utilize the fluorescent Ca2+ indicator Cal-520, but many other Ca2+ sensitive dyes such as Fluo-3, Fluo-4, Fluo-8 and Oregon Green BAPTA-1 perform sufficiently well to image Ca2+ microdomain...

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Disclosures

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The authors declare that they have no competing financial interests.

Acknowledgements

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This work was supported by National Institutes of Health grants GM 100201 to I.F.S, and GM 048071 and GM 065830 to I.P.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Human Neuroblastoma SH-SY5Y cellsATCCCRL-2266
Cal-520/AMAAT Bioquest Inc.21130
ci-IP3 (D-23-O-Isopropylidene-6-O-(2-nitro-4,5-dimethoxy)benzyl-myo-Inositol 1,4,5-trisphosphate-Hexakis(propionoxymethyl) EsterSiChemcag-iso-2-145-10
DMSO/20% pluronic F127InvitrogenP-3000MP
EGTA/AMInvitrogenE-1219
35 mm glass-bottom imaging dishesMatTekP35G-1.5-14-C

References

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  1. Berridge, M. J., Lipp, P., Bootman, M. D. The versatility and universality of calcium signalling. Nat Rev Mol Cell Biol. 1 (1), 11-21 (2000).
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  3. Hagenston, A. M., Bading, H. Calcium signaling in synapse-to-nucleus communication. Cold Spring Harb Perspect Biol. 3 (11), a004564(2011).
  4. Berridge, M. J. Elementary and global aspects of calcium signalling. J Physiol. 499 (Pt 2), 291-306 (1997).
  5. Lipp, P., Niggli, E. A hierarchical concept of cellular and subcellular calcium signalling). Prog Biophys Mol Biol. 65 (3), 265-296 (1996).
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  7. Minta, A., Kao, J. P., Tsien, R. Y. Fluorescent indicators for cytosolic calcium based on rhodamine and fluorescein chromophores. J Biol Chem. 264 (14), 8171-8178 (1989).
  8. Demuro, A., Parker, I. Imaging the activity and localization of single voltage-gated Ca(2+) channels by total internal reflection fluorescence microscopy. Biophys J. 86 (5), 3250-3259 (2004).
  9. Smith, I. F., Parker, I. Imaging the quantal substructure of single inositol trisphosphate receptor channel activity during calcium puffs in intact mammalian cells. Proc Natl Acad Sci U S A. 106 (15), 6404-6409 (2009).
  10. Reissner, K. J., et al. A novel postsynaptic mechanism for heterosynaptic sharing of short-term plasticity. J Neurosci. 30 (26), 8797-8806 (2010).
  11. Ellefson, K. S., Parker, B., Smith, I., F, I. An algorithm for automated detection, localization and measurement of local calcium signals from camera-based imaging. Cell Calcium. , (2014).
  12. Smith, I. F., Wiltgen, S. M., Parker, I. Localization of puff sites adjacent to the plasma membrane: Functional and spatial characterization of calcium signaling in SH-SY5Y cells utilizing membrane-permeant caged inositol trisphosphate. Cell Calcium. 45, 65-76 (2009).
  13. Shuai, J., Parker, I. Optical single-channel recording by imaging calcium flux through individual ion channels: theoretical considerations and limits to resolution. Cell Calcium. 37 (4), 283-299 (2005).

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Tags

Local Calcium SignalsCalcium ImagingIP3 Mediated CalciumEMCCD CameraTIRF MicroscopyWide Field FluorescenceCalcium IndicatorsSub Pixel ResolutionAutomated Analysis AlgorithmCalcium Puff Detection

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