Principle of FRAP A) The bilayer is uniformly labeled with a fluorescent tag B) This label is selectively photobleached by a small (~30 micrometre) fast light pulse C) The intensity within this bleached area is monitored as the bleached dye diffuses out and new dye diffuses in D) Eventually uniform intensity is restored
Fluorescence recovery after photobleaching (FRAP) denotes an optical technique capable of quantifying the two dimensional lateral diffusion of a molecularly thin film containing fluorescently labeled probes, or to examine single cells. This technique is very useful in biological studies of cell membrane diffusion and protein binding. In addition, surface deposition of a fluorescing phospholipid bilayer (or monolayer) allows the characterization of hydrophilic (or hydrophobic) surfaces in terms of surface structure and free energy.
Similar, though less well known, techniques have been developed to investigate the 3-dimensional diffusion and binding of molecules inside the cell; they are also referred to as FRAP.
Contents
- 1 Experimental Setup
- 2 Applications
- 2.1 Supported Lipid Bilayers
- 2.2 Protein Binding
- 3 Applications Outside the Membrane
- 3.1 Diffusion-limited fluorescence recovery
- 3.2 Reaction-limited recovery
- 3.3 Diffusion and reaction
- 4 See also
- 5 References
Experimental Setup
The basic apparatus comprises an optical microscope, a light source and some fluorescent probe. Fluorescent emission is contingent upon absorption of a specific optical wavelength or color which restricts the choice of lamps. Most commonly, a broad spectrum mercury or xenon source is used in conjunction with a color filter. The technique begins by saving a background image of the sample before photobleaching. Next, the light source is focused onto a small patch of the viewable area either by switching to a higher magnification microscope objective or with laser light of the appropriate wavelength. The fluorophores in this region receive high intensity illumination which causes their fluorescence lifetime to quickly elapse (limited to roughly 105 photons before extinction). Now the image in the microscope is that of a uniformly fluorescent field with a noticeable dark spot. As Brownian motion proceeds, the still-fluorescing probes will diffuse throughout the sample and replace the non-fluorescent probes in the bleached region. This diffusion proceeds in an ordered fashion, analytically determinable from the diffusion equation. Assuming a Gaussian profile for the bleaching beam, the diffusion constant D can be simply calculated from:
where w is the radius of the beam and tD is the "Characteristic" diffusion time.[1][2]
Applications
Supported Lipid Bilayers
Originally, the FRAP technique was intended for use as a mean to characterize the mobility of individual lipid molecules within a cell membrane.[1] While providing great utility in this role, current research leans more toward investigation of artificial lipid membranes. Supported by hydrophilic or hydrophobic substrates (to produce lipid bilayers or monolayers respectively) and incorporating membrane proteins, these biomimetic structures are potentially useful as analytical devices for determining the identity of unknown substances, understanding cellular transduction, and identifying ligand binding sites.
Protein Binding
This technique is commonly used in conjunction with green fluorescent protein (GFP) fusion proteins, where the studied protein is fused to a GFP. When excited by a specific wavelength of light, the protein will fluoresce.[3] When the protein that is being studied is produced with the GFP, then the fluorescence can be tracked. Photodestroying the GFP, and then watching the repopulation into the bleached area can reveal information about protein interaction partners, organelle continuity and protein trafficking.[4]
If after some time the fluorescence doesn't reach the initial level anymore, then some part of the fluorescence is caused by an immobile fraction (that cannot be replenished by diffusion). Similarly, if the fluorescent proteins bind to static cell receptors, the rate of recovery will be retarded by a factor related to the association and disassociation coefficients of binding. This observation has most recently been exploited to investigate protein binding.[3][5][6] Similarly, if the GFP labeled protein is constitutively incorporated into a larger complex, the dynamics of fluorescence recovery will be characterized by the diffusion of the larger complex.[7]
Applications Outside the Membrane
FRAP can also be used to monitor proteins outside the membrane. After the protein of interest is made fluorescent, generally by expression as a GFP fusion protein, a confocal microscope is used to photobleach and monitor a region of the cytoplasm,[3] mitotic spindle, nucleus, or another cellular structure.[8] The mean fluorescence in the region can then be plotted versus time since the photobleaching, and the resulting curve can yield kinetic coefficients, such as those for the protein's binding reactions and/or the protein's diffusion coefficient in the medium where it is being monitored.[9] Often the only dynamics considered are diffusion and binding/unbinding interactions, however, in principle proteins can also move via flow, i.e., undergo directed motion, and this was recognized very early by Axelrod et al.[1] This could be due to flow of the cytoplasm or nucleoplasm, or transport along filaments in the cell such as microtubules by molecular motors.
The analysis is most simple when the fluorescence recovery is limited by either the rate of diffusion into the bleached area or by rate at which bleached proteins unbind from their binding sites within the bleached area, and are replaced by fluorescent protein. Let us look at these two limits, for the common case of bleaching a GFP fusion protein in a living cell.
Diffusion-limited fluorescence recovery
For a circular bleach spot of radius and diffusion-dominated recovery, the fluorescence is described by an equation derived by Soumpasis[10] (which involves modified Bessel functions and )
with the characteristic timescale for diffusion, and is the time. is the normalized fluorescence (goes to 1 as goes to infinity). The diffusion timescale for a bleached spot of radius is , with D the diffusion coefficient.
Note that this is for an instantaneous bleach with a step function profile, i.e., the fraction of protein assumed to be bleached instantaneously at time is , and , for the distance from the centre of the bleached area. It is also assumes that the recovery can be modelled by diffusion in two dimensions, that is also both uniform and isotropic. In other words that diffusion is occurring in a uniform medium so the effective diffusion constant D is the same everywhere, and that the diffusion is isotropic, i.e., occurs at the same rate along all axes in the plane.
In practice, in a cell none of these assumptions will be strictly true.
- Bleaching will not be instantaneous. Particularly if strong bleaching of a large area is required, bleaching may take a significant fraction of the diffusion timescale . Then a significant fraction of the bleached protein will diffuse out of the bleached region actually during bleaching. Failing to take account of this will introduce a significant error into D.[11][12][13]
- The bleached profile will not be a radial step function. If the bleached spot is effectively a single pixel then the bleaching as a function of position will typically be diffraction limited and determined by the optics of the confocal laser scanning microscope used. This is not a radial step function and also varies along the axis perpendicular to the plane.
- Cells are of course three-dimensional not two-dimensional, as is the bleached volume. Neglecting diffusion out of the plane (we take this to be the xy plane) will be a reasonable approximation only if the fluorescence recovers predominantly via diffusion in this plane. This will be true, for example, if a cylindrical volume is bleached with the axis of the cylinder along the z axis and with this cylindrical volume going through the entire height of the cell. Then diffusion along the z axis does not cause fluorescence recovery as all protein is bleached uniformly along the z axis, and so neglecting it, as Soumpasis' equation does, is harmless. However, if diffusion along the z axis does contribute to fluorescence recovery then it must be accounted for.
- There is no reason to expect the cell cytoplasm or nucleoplasm to be completely spatially uniform or isotropic.
Thus, the equation of Soumpasis is just a useful approximation, that can be used when the assumptions listed above are good approximations to the true situation, and when the recovery of fluorescence is indeed limited by the timescale of diffusion . Note that just because the Soumpasis can be fitted adequately to data does not necessarily imply that the assumptions are true and that diffusion dominates recovery.
Reaction-limited recovery
The equation describing the fluorescence as a function of time is particularly simple in another limit. If a large number of proteins bind to sites in a small volume such that there the fluorescence signal is dominated by the signal from bound proteins, and if this binding is all in a single state with an off rate koff, then the fluorescence as a function of time is given by[14]
Note that the recovery depends on the rate constant for unbinding, koff, only. It does not depend on the on rate for binding. Although it does depend on a number of assumptions[14]
- The on rate must be sufficiently large in order for the local concentration of bound protein to greatly exceed the local concentration of free protein, and so allow us to neglect the contribution to f of the free protein.
- The reaction is a simple bimolecular reaction, where the protein binds to localised sites that do not move significantly during recovery
- Exchange is much slower than diffusion (or whatever transport mechanism is responsible for mobility), as only then does the diffusing fraction recovery rapidly and then acts as the source of fluorescent protein that binds and replaces the bound bleached protein and so increases the fluorescence. With r the radius of the bleached spot, this means that the equation is only valid if the bound lifetime .
If all these assumptions are satisfied, then fitting an exponential to the recovery curve will give the off rate constant, koff. However, other dynamics can give recovery curves similar to exponentials, so fitting an exponential does not necessarily imply that recovery is dominated by a simple bimolecular reaction. One way to distinguish between recovery with a rate determined by unbinding and recovery that is limited by diffusion, is to note that the recovery rate for unbinding-limited recovery is independent of the size of the bleached area r, while it scales as , for diffusion-limited recovery. Thus if a small and a large area are bleached, if recovery is limited by unbinding then the recovery rates will be the same for the two sizes of bleached area, whereas if recovery is limited by diffusion then it will be much slower for the larger bleached area.
Diffusion and reaction
In general, the recovery of fluorescence will not be dominated by either simple isotropic diffusion, or by a single simple unbinding rate. There will be both diffusion and binding, and indeed the diffusion constant may not be uniform in space, and there may be more than one type of binding sites, and these sites may also have a non-uniform distribution in space. Flow processes may also be important. This more complex behavior implies that a model with several parameters is required to describe the data; models with only either a single diffusion constant D or a single off rate constant, koff, are inadequate.
There are models with both diffusion and reaction.[2] Unfortunately, a single FRAP curve may provide insufficient evidence to reliably and uniquely fit (possibly noisy) experimental data. Sadegh Zadeh et al. [15] have shown that FRAP curves can be fitted by different pairs of values of the diffusion constant and the on-rate constant, or, in other words, that fits to the FRAP are not unique. This is in three-parameter (on-rate constant, off-rate constant and diffusion constant) fits. Fits that are not unique, are not generally useful.
Thus for models with a number of parameters, a single FRAP experiment may be insufficient to estimate all the model parameters. Then more data is required, e.g., by bleaching areas of different sizes,[13] determining some model parameters independently, etc.
See also
- Fluorescence microscope
- Photobleaching
- Fluorescence loss in photobleaching (FLIP)
References
- ^ a b c Axelrod, D; Koppel, D; Schlessinger, J; Elson, E; Webb, W (1976). "Mobility measurement by analysis of fluorescence photobleaching recovery kinetics". Biophysical Journal 16 (9): 1055–69. doi:10.1016/S0006-3495(76)85755-4. PMC 1334945. PMID 786399.
- ^ a b Sprague, Brian L.; Pego, Robert L.; Stavreva, Diana A.; McNally, James G. (2004). "Analysis of Binding Reactions by Fluorescence Recovery after Photobleaching". Biophysical Journal 86 (6): 3473–95. doi:10.1529/biophysj.103.026765. PMC 1304253. PMID 15189848.
- ^ a b c Kou Qin, Chunmin Dong, Guangyu Wu & Nevin A Lambert (August 2011). "Inactive-state preassembly of Gq-coupled receptors and Gq heterotrimers". Nature Chemical Biology 7 (11): 740–747. doi:10.1038/nchembio.642. PMC 3177959. PMID 21873996.
- ^ Day, CA; Kraft, LJ; Kang, M; Kenworthy, AK (2012). "Analysis of protein and lipid dynamics using confocal fluorescence recovery after photobleaching (FRAP)". Current Protocols in Cytometry. Chapter 2: 2–19. doi:10.1002/0471142956.cy0219s62. PMID 23042527.
- ^ Mazza, D; Mueller, F; Stasevich, TJ; McNally, JG (2013). "Convergence of chromatin binding estimates in live cells". Nat Methods 10 (8): 691–2. doi:10.1038/nmeth.2573. PMID 23900248.
- ^ Kou Qin, Pooja R. Sethi and Nevin A. Lambert (August 2008). "Abundance and stability of complexes containing inactive G protein-coupled receptors and G proteins". The FASEB Journal 22 (8): 2920–2927. doi:10.1096/fj.08-105775. PMC 2493464. PMID 18434433.
- ^ Kraft, LJ; Kenworthy, AK (2012). "Imaging protein complex formation in the autophagy pathway: analysis of the interaction of LC3 and Atg4B(C74A) in live cells using Förster resonance energy transfer and fluorescence recovery after photobleaching". J Biomed Opt 17 (1): 011008. doi:10.1117/1.JBO.17.1.011008. PMC 3380812. PMID 22352642.
- ^ Tripathi, K; Parnaik, VK (2008). "Differential dynamics of splicing factor SC35 during the cell cycle". Journal of biosciences 33 (3): 345–54. doi:10.1007/s12038-008-0054-3. PMID 19005234.
- ^ Houtsmuller, AB (2005). "Fluorescence recovery after photobleaching: Application to nuclear proteins". Advances in biochemical engineering/biotechnology 95: 177–99. doi:10.1007/b102214. PMID 16080269.
- ^ Soumpasis, D (1983). "Theoretical analysis of fluorescence photobleaching recovery experiments". Biophysical Journal 41 (1): 95–7. doi:10.1016/S0006-3495(83)84410-5. PMC 1329018. PMID 6824758.
- ^ Yang, J.; Köhler, K.; Davis, D. M.; Burroughs, N. J. (2009). "An improved strip FRAP method for estimating diffusion coefficients: Correcting for the degree of photobleaching". Journal of Microscopy 238 (3): 240–53. doi:10.1111/j.1365-2818.2009.03347.x. PMID 20579262.
- ^ Castle, Brian T.; Howard, Stephen A.; Odde, David J. (2011). "Assessment of Transport Mechanisms Underlying the Bicoid Morphogen Gradient". Cellular and Molecular Bioengineering 4 (1): 116–121. doi:10.1007/s12195-010-0157-4. PMC 3164504. PMID 21892361.
- ^ a b González-Pérez, Vinicio; Schmierer, Bernhard; Hill, Caroline S.; Sear, Richard P. (2011). "Studying Smad2 intranuclear diffusion dynamics by mathematical modelling of FRAP experiments". Integrative Biology 3 (3): 197–207. doi:10.1039/c0ib00098a. PMID 21240396.
- ^ a b Bulinski, JC; Odde, DJ; Howell, BJ; Salmon, TD; Waterman-Storer, CM (2001). "Rapid dynamics of the microtubule binding of ensconsin in vivo". Journal of Cell Science 114 (Pt 21): 3885–97. PMID 11719555.
- ^ Sadegh Zadeh, Kouroush; Montas, Hubert J; Shirmohammadi, Adel (2006). "Identification of biomolecule mass transport and binding rate parameters in living cells by inverse modeling". Theoretical Biology and Medical Modelling 3: 36. doi:10.1186/1742-4682-3-36. PMC 1635038. PMID 17034642.
