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We describe an imaging approach for the determination of the average oligomeric state of mEGFP-tagged-receptor oligomers induced by ligand binding in the plasma membrane of living cells. The protocol is based on Total Internal Reflection Fluorescence (TIRF) microscopy combined with Number and Brightness (N&B) analysis.
Despite the importance and ubiquity of receptor oligomerization, few methods are applicable for detecting clustering events and measuring the degree of clustering. Here, we describe an imaging approach to determine the average oligomeric state of mEGFP-tagged-receptor homocomplexes in the membrane of living cells. The protocol is based on Total Internal Reflection Fluorescence (TIRF) microscopy combined with Number and Brightness (N&B) analysis. N&B is a method similar to fluorescence-correlation spectroscopy (FCS) and photon counting histogram (PCH), which are based on the statistical analysis of the fluctuations of the fluorescence intensity of fluorophores diffusing in and out of an illumination volume during an observation time. In particular, N&B is a simplification of PCH to obtain information on the average number of proteins in oligomeric mixtures. The intensity fluctuation amplitudes are described by the molecular brightness of the fluorophore and the average number of fluorophores within the illumination volume. Thus, N&B considers only the first and second moments of the amplitude distribution, namely, the mean intensity and the variance. This is, at the same time, the strength and the weakness of the method. Because only two moments are considered, N&B cannot determine the molar fraction of unknown oligomers in a mixture, but it only estimates the average oligomerization state of the mixture. Nevertheless, it can be applied to relatively small time series (compared to other moment methods) of images of live cells on a pixel-by-pixel basis, simply by monitoring the time fluctuations of the fluorescence intensity. It reduces the effective time-per-pixel to a few microseconds, allowing acquisition in the time range of seconds to milliseconds, which is necessary for fast oligomerization kinetics. Finally, large cell areas as well as sub-cellular compartments can be explored.
We describe a Total Internal Reflection Fluorescence-Number and Brightness (TIRF-N&B) imaging approach for determining the average oligomeric state of receptor molecules at the plasma membrane of live cells, aiming at linking the receptor assembly dynamics to the biological function of the proteins (Figure 1).
Upon extracellular ligand binding, receptors initiate the intracellular signal transduction depending on their conformation, oligomerization, potential co-receptors and membrane composition. Despite the importance and ubiquity of receptor oligomerization, recognized as a key event in cellular signaling1,2,3,4,5,6,7, few methods can detect clustering events and measure the degree of clustering experimentally8,9. The confocal volume (x,y ≈ 300 nm, z ≈ 900 nm) is insufficiently resolved for proving molecular interaction and stoichiometry, even after optimization by image restoration algorithms10. The sub-unit composition of protein oligomers cannot be resolved on a purely spatial basis even by super-resolution methods at x,y resolution of 20-70 nm such as PALM11, STORM12, and STED13. Moreover, their temporal resolution (in the order of minutes per image) cannot follow kinetics in the range of seconds. Single molecule step-bleaching resolves the stoichiometry of protein oligomers only if they are immobile14.
One of the most versatile methods to measure density and oligomerization of fluorescently tagged proteins within single images is the spatial intensity distribution analysis (SpIDA), which relies on spatial sampling. It is applicable to both chemically fixed and live cells, and allows the analysis of several regions of interest of the cell simultaneously using standard fluorescence microscopy15. Alternatively, moment methods, such as fluorescence-correlation spectroscopy (FCS)16, photon counting histogram (PCH)17, and Number and Brightness (N&B)18,19, are suitable for quantitative oligomer measurements. These methods analyze the fluorescence intensity fluctuations that can be observed in time when the fluorophores diffuse in and out of an illumination volume. The amplitudes of the intensity fluctuations can be uniquely described by the molecular brightness of the fluorophore (ε) and the average number of fluorophores (n) within the illumination volume17 (Figure 2). Typically, the diffusion coefficient of the fluorophores and the average number of molecules (inversely related to the G(0) value) within the illumination volume can be obtained by FCS20. However, since the diffusion time only scales with the cubic root of the mass, FCS is not sufficiently sensitive to detect changes in molecular mass21. In practice, single color FCS cannot detect dimerization of membrane receptors. PCH resolves mixtures of different oligomers accurately. Using more than two moments of the amplitude distribution, it detects molecules of different brightness that occupy the same illumination volume. Scanning FCS22 and developments, such as the interesting pair-correlation of molecular brightness (pCOMB) approach23, introduced to extend the range of applicability of fluorescence correlation methods in biological systems24, remain single point methods lacking the capability of fast measurements in a large area of a cell, requiring many consecutive observations at each pixel and data acquisition in the order of seconds.
N&B is a simplified version of PCH that considers only the first and second moments of the amplitude of the fluorescence distribution, namely the mean intensity, <I>, and the variance, σ2 (Figure 2)18,19 and, because of that, it cannot determine the molar fraction of unknown oligomers in a mixture, but only estimates the average oligomerization state of the mixture. Nevertheless, N&B has the advantage of working with relatively smaller time series of images of live cells than PCH on a pixel-by-pixel basis, simply by monitoring the fluctuations on time of the fluorescence intensity. Because N&B reduces the time-per-pixel to a few microseconds, it can follow fast oligomerization kinetics over large cell areas, allowing image acquisition on a time scale of seconds in raster scanning microscopy (e.g., confocal, 2-photon) and milliseconds in camera-based microscopy (e.g., TIRFM).
Several reports have demonstrated the capability of N&B to quantify the number of subunits in protein clusters by imaging extended cell regions. Paxillin-EGFP clusters were detected at the adhesion sites in CHO-K1 cells25, and the intracellular aggregation of the pathogenic Httex1p peptide was described in COS-7 cells26. N&B was applied for following the ligand-driven oligomerization of the ErbB receptor27, and the effect of the ligand FGF21 on Klothob (KLB) and FGFR1c in HeLa cells28. The combination of TIRF imaging and N&B analysis was used to show that dynamin-2 is primarily tetrameric throughout the entire cell membrane29. We applied N&B to both raster scanning and TIRF images to prove ligand-driven dimerization of uPAR and FGFR1 cell membrane receptors30,31.
Fluorescence correlation methods, such as N&B, FCS and PCH, are based on the notion that in an open volume the occupation number of particles follows a Poisson distribution. Because only the photons that the fluorophores emit can be detected, the mean value for a measured fluorescence intensity versus time in a pixel of the image, , is the product of the average number of fluorophores in the illumination volume, n, and their molecular brightness, ε17:
where ε is expressed as the number of photons emitted per unit of time (conventionally per second) per molecule when the molecule is at the center of the illumination volume.
Brightness is a property of each fluorophore in a given acquisition set up, while intensity is the sum of all contributions from all fluorophores. In biological contests, brightness will increase with the increase of the number of fluorophores that fluctuate together, giving information on the oligomerization state of the fluorescently-tagged protein. The fluctuation amplitudes at a given pixel is measured from the variance of the fluorescence signal, σ2:
Where the mean of the square of intensity, , and the square of the mean of intensity,
, are computed from the individual intensity values in each pixel of each frame:
where K is the number of total frames in the time series. Experimentally, it is necessary to compute for the entire image series the variance that describes the scatter of the individual intensity values at each pixel of a single image around the mean intensity value. The variance includes all fluctuations of different origins. In a first approximation, the variance due the diffusing particles in the illumination volume, σ20, can be separated from the variance due to the detector shot noise, σ2d. The two variances are independent; thus, the total variance is given by their sum:
The variance, due to molecular fluctuations in and out of the detection volume, is linearly dependent on the molecular brightness and intensity:
Rearranging eq. 6 according to eq. 1:
According to the typical concept in fluorescence correlation spectroscopy, equation 7 states that the variance due to the number of fluctuations depends on the square of the particle brightness.
Then, the variance due to detector fluctuations is a linear function of the detected intensity, under the assumption that the detector is operated below its saturation limit19:
In the case of photon counting detectors a=1 and c=0, thus the detector variance is equal to the average intensity:
To apply these concepts to real measurements in live cells, Gratton and colleagues18 define the apparent brightness, B, for each pixel as the ratio of the variance over the average intensity:
B is the parameter that is measured experimentally. In this work, time series images of FGFR1 receptors at the plasma membrane of HeLa cells are captured by TIRF microscopy and the average apparent brightness, B, is determined by the N&B analysis. Then, after addition of FGF2, consecutive time series are captured to follow the changes in the self-assembly of the receptor molecules in the membrane surface after stimulation of the receptor with the canonical ligand.
However, since the detector of the TIRF microscope is a EMCCD camera, the expression for the apparent brightness needs to be modified as19:
where offset is the intensity offset of the detection electronics that is a characteristic of the detector settings. The variance and average intensity for an analog detector are respectively given by:
where G is the analog gain in digital levels (DL/photons), S, the digital levels per photon19, is given by the slope of an intensity versus variance plot for a light source with constant intensity (no temporal fluctuations). The γ factor is related to the shape of the pixel detection volume. According to Hassler et al.32, the γ factor is equal to 0.3 for TIRF imaging working at the maximum gain of the detection camera19. The offset, S and G parameters are characteristics of the camera and the microscope. The apparent brightness, B, is obtained by rearranging eq. 11 according to eq. 12 and 13:
Experimentally, ε is a complex function of laser intensity and the detection efficiency of the system. Nevertheless, since B/S is linearly dependent on ε, it is only important to determine the relative value of ε for a given detection mode:
where ε' is proportional to ε. Still, a calibration is performed using an internal reference.
1. Sample Preparation
2. TIRF Imaging — Alignment of the Laser Line and Optimization of TIRF Illumination
3. TIRF Imaging: Capture of the Time Series
4. Number & Brightness (N&B): Quality Check of the Time Series
5. Number & Brightness (N&B): Determination of the Camera Parameters (Offset, σ and S)
6. Number & Brightness (N&B): Computation of the B-values in Selected Region-of-interest (ROI)
The results for two representative HeLa-mEGFP-FGFR1 cells seeded in the same culture dish are shown in Figure 5 and Supplemental Table 1. The two cells were captured at time 0 min (Figure 5A, top) and 7 min (Figure 5A, bottom) after addition of the FGF2 ligand.
Figure 5...
N&B requires several precautions in the choice of the cell model and labelling strategy. It can be applied only to live cells that remain stably adhered during the image capture time. Extra fluctuations due to the whole cell rigid displacement might be handled with appropriate image restoration approaches38. However, generally when a cell moves, the cell membrane also deforms, and structure deformation, producing large extra variance, introduces serious limitation to the analysis of membrane p...
The authors have nothing to disclose.
The CNIC is supported by the Ministry of Ciencia, Innovacion y Universidades and the Pro CNIC Foundation, and is a Severo Ochoa Center of Excellence (SEV-2015-0505). We are also supported by European Regional Development Fund (FEDER) "Una manera de hacer Europa". UC acknowledges the support from the Associazione Italiana Ricerca sul Cancro, the Association for International Cancer Research (now known as Worldwide Cancer Research), and the Italian Ministry of Health. A.T. acknowledge the "Fondazione Banca del Monte di Lombardia" for partly supporting his work with the PV Fellowship "Progetto Professionalità Ivano Becchi" 2011-2012.
Name | Company | Catalog Number | Comments |
3-Colour Fast TIRF Leica AM TIRF MC inverted microscope, with smi-automatic TIRF alignment. The microscope is equipped with a diode 488 nm laser, a 100x1.46 oil TIRF objective, Ex/Em Bandpass filters at 490/20 and 525/50, temperature/CO2 incubator and Andor DU 8285 VP EMCCD camera. The microscope is operated by Leica LIF software. | Leica Microsystems, Wetzlar, Germany | ||
Albumin from Bovine Serum 98% minimun | Sigma-Aldrich, St. Louis, MI, USA | A7906-100G | |
DMEM without Phenol Red with 25 mM HEPES | GIBCO Thermo Fisher Scientific,Waltham, MA, USA | 21063029 | Used serum free for microscopy |
DMEM high-glucose GlutaMAX I | GIBCO Thermo Fisher Scientific,Waltham, MA, USA | 10566-016 | Used for complete medium |
Dulbecco's Phosphate Buffered Saline 10x (PBS) | Biowest, Nuaillé, France | X0515-500 | |
Emission splitting system Photometrics DV2 | TeledynePhotometrics, Tucson, AZ, USA | ||
Fetal Bovine Serum, qualified, Brazil | GIBCO Thermo Fisher Scientific,Waltham, MA, USA | 10270106 | 10% inactivated supplement for complete medium |
Glass bottom 35-mm sterile 1.5 dishes | MatTek, Ashland, MA, USA | P35G-0.170-14-C | uncoated, glass thickness 0.17 microns |
GraphPad Prism | GraphPad Software Inc., San Diego, CA, USA | ||
Human cervical carcinoma (HeLa), serum-free animal component (AC) cells | Millipore-Sigma ECACC, Darmstadt, Germany | CB_08011102 | |
iXonEM+ 897 EMCCD (back-illuminated) ANDOR camera controlled by ANDOR Solis software | Oxford Instruments, Andor TM Technology, Abingdon-on-Thames, UK | This camera, installed in an additional port of the microscope, is used for acquiring the N&B time series | |
Matlab Executable N&B routine | Unit of Microscopy and Dynamic Imaging, CNIC, Madrid, Spain | download at https://www.cnic.es/en/investigacion/2/1187/tecnologia | |
MatLab v.2018b | The MathWorks, Inc. Natick, MA, USA | download at https://www.mathworks.com/products/matlab.html | |
Penicillin:Streptomycin for tissue culture 100x | Biowhittaker Inc. Walkersville, MD, USA | LONZA 17-602E | supplement for medium at Penicillin/Streptomycin 100U/100µg. |
pN1-mEGFP-FGFR1 expression vector | Unit of Gynecological Oncology Research, European Institute of Oncology IRCCS, Milan, Italy | Zamai et al., 2019 | |
pN1-N-Gly-mEGFP-GPI expression vector | Unit of Microscopy and Dynamic Imaging, CNIC, Madrid, Spain | Hellriegel et al., 2011 | |
pN1-N-Gly-mEGFP-mEGFP-GPI expression vector | Unit of Microscopy and Dynamic Imaging, CNIC, Madrid, Spain | Hellriegel et al., 2011 | |
Recombinant FGF2 | PeproTech EC, Ltd., London, UK | Ligand solution: 20ng/mL of FGF2 in PBS supplemented with 0.01%BSA. | |
Sodium pyruvate GIBCO | ThermoFisher Scientific | 11360070 | 1mM supplement for medium |
TransIt-LT1 Transfection Reagent | MirusBio LLC, Madison, WI, USA | MIR 2300 | |
Trypsin-EDTA (0.25%), phenol red | GIBCO Thermo Fisher Scientific,Waltham, MA, USA | 25200056 | |
Type F Immersion liquid 10 mL | Leica Microsystems, Wetzlar, Germany | 11513 859 | |
UltraPure BSA (50 mg/mL) | ThermoFisher Scientific | AM2618 | 0.1% supplement for medium without phenol red used for transfections |
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