Method Article

Molecular Diffusion in Plasma Membranes of Primary Lymphocytes Measured by Fluorescence Correlation Spectroscopy

DOI:

10.3791/54756

February 1st, 2017

In This Article

Summary

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A method to measure protein diffusion in membranes of primary immune cells using fluorescence correlation spectroscopy (FCS) is described. In this paper, the use of antibodies for fluorescent labeling is illustrated.

Abstract

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Fluorescence correlation spectroscopy (FCS) is a powerful technique for studying the diffusion of molecules within biological membranes with high spatial and temporal resolution. FCS can quantify the molecular concentration and diffusion coefficient of fluorescently labeled molecules in the cell membrane. This technique has the ability to explore the molecular diffusion characteristics of molecules in the plasma membrane of immune cells in steady state (i.e., without processes affecting the result during the actual measurement time). FCS is suitable for studying the diffusion of proteins that are expressed at levels typical for most endogenous proteins. Here, a straightforward and robust method to determine the diffusion rate of cell membrane proteins on primary lymphocytes is demonstrated. An effective way to perform measurements on antibody-stained live cells and commonly occurring observations after acquisition are described. The recent advancements in the development of photo-stable fluorescent dyes can be utilized by conjugating the antibodies of interest to appropriate dyes that do not bleach extensively during the measurements. Additionally, this allows for the detection of slowly diffusing entities, which is a common feature of proteins expressed in cell membranes. The analysis procedure to extract molecular concentration and diffusion parameters from the generated autocorrelation curves is highlighted. In summary, a basic protocol for FCS measurements is provided; it can be followed by immunologists with an understanding of confocal microscopy but with no other previous experience of techniques for measuring dynamic parameters, such as molecular diffusion rates.

Introduction

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Many immune cells functions rely on molecular diffusion and interactions within membranes. Biological membranes are complex, and many factors that may be important for the function of immune cells can influence the speed of translational diffusion of proteins within cellular membranes1. We recently showed that natural killer (NK) cells, lymphocytes belonging to the innate immune system, exhibit differential diffusion of two studied proteins at the cell membrane depending on the state of NK cell activation2.

Fluorescence correlation spectroscopy (FCS) is a technique that is capable of quantifyi....

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Protocol

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1. Staining for FCS

  1. Isolate murine NK cells from spleen lymphocytes using magnetic bead labelling, as per the manufacturer's protocol16. Use 2-3 x 105 cells per sample for the following steps.
    NOTE: Use negative selection to enrich the target cell population, leaving it untouched, so that the cells can be labelled using primary antibodies alone. See reference2 for more detailed information on cell isolation from mice2.
  2. For murine cells expressing Fc receptors, block the Fc receptors with the antibody clone 2.4G2 at 5 µg/µl in 25 μl of phosphate-buffered saline....

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Results

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A typical result will generate an autocorrelation curve with a transit time in the range of 10 msec to 400 msec for membrane proteins. The number of molecules can vary between 0.5 to around 200 per μm2 for endogenously expressed proteins. Check carefully that the CPM is not lower than expected. This may mean that there is an influence of the background signal. As a rule of thumb, the CPM signal on cells that is accepted for analysis should not be lower than 33% of the CPM for f.......

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Discussion

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This protocol for FCS can be used for the assessment of the molecular dynamics of surface molecules on all types of immune cells (murine, human, or other species). FCS measures spatio-temporal molecular dynamics down to single-molecule resolution in live cells. The molecular density, as well as the diffusion rate and clustering dynamics of the proteins of interest, can be extracted from the autocorrelation curves.

The fluorescent labeling is of pivotal importance for successful FCS experiments.......

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Disclosures

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The authors have nothing to disclose.

Acknowledgements

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We thank Dr. Vladana Vukojeviç, Center for Molecular Medicine, Karolinska Institutet for the maintenance of the Zeiss Confocor 3 instrument and for helpful tips regarding cell measurements. This study was funded by grants from Vetenskapsrådet (grant number 2012- 1629), Magnus Bergvalls stiftelse, and from Stiftelsen Claes Groschinskys minnesfond.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
MACS NK Cell Isolation Kit mouse IIMiltenyi Biotec NordenAB130-096-892Negative selection of NK cells
Fetal Bovine SerumSigma-AdlrichF7524Heat inactivated
Phosphate Buffered Saline--Made in house 
Roswell Park Memorial Institute medium 1640PAA The Cell Culture Company E15-848Transparent medium
Antibody clone 2.4G2Thermo Fischer Scientific553140For blocking Fc-receptors.
Anti-Ly49A antibody Monoclonal antibody made in house and conjugated in house to Alexa fluor 647
Clone JR9.318
Anti-H-2Dd antibody BD Pharmingen558915Conjugated in house to MFP488
Clone 34.5.8S
MFP488MobiotechMFP-A2181Fluorescent dye for antibody conjugation.
Poly-L-LysineSigma-AldrichP8920Diluted in distilled water (1.10)
Poly-L-Lysine (20 kDa) grafted with polyethylene glycol (2 kDa)SuSoS AGPLL(20)-g[3.5]-PEG(2)Diluted in PBS (pH 7.4) to 0.5 mg/ml.
Rhodamine 110 chlorideSigma-Aldrich432202Known diffusion coefficient: 3.3 × 10−10 m2/sec 19
Alexa fluor 647Thermo Fisher Scientific A20006Known diffusion coefficient: 4.4 × 10−10 m2/sec 20
Confocal microscope ZeissLSM510
Software: Confocor 3Zeiss
Software: Matlab with curve fitting toolboxMatlabVersion R2013b
Nunc Lab-Tek Chambered CoverglassThermo-scientific 1554118 wells, 1.0 borosilicate bottom

References

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  1. Goni, F. M. The basic structure and dynamics of cell membranes: an update of the Singer-Nicolson model. Biochim Biophys Acta. 1838, 1467-1476 (2014).
  2. Bagawath-Singh, S., et al. Cytokin....

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Tags

Plasma MembraneConfocal MicroscopyAuto Correlation CurveDiffusion CoefficientFluorescent DyesAntibody StainingLive Cell Imaging

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