Fluorescence cross-correlation spectroscopy

Fluorescence cross-correlation spectroscopy (FCCS) was introduced by Eigen and Rigler in 1994[1] and experimentally realized by Schwille in 1997.[2] It is essentially an extension of the fluorescence correlation spectroscopy (FCS) procedure by utilizing two differentially colored molecules, instead of one. In other words, coincident green and red intensity fluctuations of distinct molecules correlate if green and red labeled particles are moving together through a predefined confocal volume. As a result, FCCS provides a highly sensitive measurement of molecular interactions independent of diffusion rate. This is an important advancement, given that diffusion rate depends only weakly on the size of the molecular complex.[3]

Cartoon of an FCCS Focal Volume

FCCS utilizes two species which are independently labeled with two differently colored fluorescent probes. These fluorescent probes are excited and detected by two different laser light sources and detectors usually labeled as "green" and "red". Typically a confocal microscope is used to provide overlapping green and red focal volumes for excitation.

FCCS Simulations demonstrating non-interacting particles (left) and a mixture of interacting and independent particles (right)

The normalized cross-correlation function is defined for two fluorescent species ${\displaystyle \ G}$ and ${\displaystyle \ R}$ which are independent green, G and red, R channels as follows:

${\displaystyle \ G_{GR}(\tau )=1+{\frac {\langle \delta I_{G}(t)\delta I_{R}(t+\tau )\rangle }{\langle I_{G}(t)\rangle \langle I_{R}(t)\rangle }}={\frac {\langle I_{G}(t)I_{R}(t+\tau )\rangle }{\langle I_{G}(t)\rangle \langle I_{R}(t)\rangle }}}$

where differential fluorescent signals ${\displaystyle \ \delta I_{G}}$ at a specific time, ${\displaystyle \ t}$ and ${\displaystyle \ \delta I_{R}}$ at a delay time, ${\displaystyle \ \tau }$ later is correlated with each other. In the absence of spectral bleed-through, the cross-correlation function is zero for non-interacting particles. In contrast to FCS, the cross-correlation function increases with increasing numbers of interacting particles.

FCCS is primarily utilized for measurements of bio-molecular interactions both in living cells and in vitro.[4][5] It can be utilized to measure simple molecular stoichiometries and binding constants.[6] It is one of the few techniques that can provide information about protein-protein interactions at a specific time and location within a living cell. In contrast to fluorescence resonance energy transfer, it does not have a distance limit for interactions. As a result, it can be utilized to probe large complexes. Nevertheless, it does require that complexes be actively diffusing through the microscope focus on a relatively short time scale (typically seconds).

Modeling

Cross-correlation curves are modeled according to a slightly more complicated mathematical function than applied in FCS. First of all, the effective superimposed observation volume in which the G and R channels form a single observation volume, ${\displaystyle \ V_{eff,RG}}$ in the solution:

${\displaystyle \ V_{eff,RG}=\pi ^{3/2}(\omega _{xy,G}^{2}+\omega _{xy,R}^{2})(\omega _{z,G}^{2}+\omega _{z,R}^{2})^{1/2}/2^{3/2}}$

where ${\displaystyle \ \omega _{xy,G}^{2}}$ and${\displaystyle \ \omega _{xy,R}^{2}}$ are radial parameters and ${\displaystyle \ \omega _{z,G}}$ and${\displaystyle \ \omega _{z,R}}$ are the axial parameters for the G and R channels respectively.

The diffusion time, ${\displaystyle \ \tau _{D,GR}}$ for a doubly (G and R) fluorescent species is therefore described as follows:

${\displaystyle \ \tau _{D,GR}={\frac {\omega _{xy,G}^{2}+\omega _{xy,R}^{2}}{8D_{GR}}}}$

where ${\displaystyle \ D_{GR}}$ is the diffusion coefficient of the doubly fluorescent particle.

The cross-correlation curve generated from diffusing doubly labelled fluorescent particles can be modelled in separate channels as follows:

${\displaystyle \ G_{G}(\tau )=1+{\frac {(<C_{G}>Diff_{k}(\tau )+<C_{GR}>Diff_{k}(\tau ))}{V_{eff,GR}(<C_{G}>+<C_{GR}>)^{2}}}}$

${\displaystyle \ G_{R}(\tau )=1+{\frac {(<C_{R}>Diff_{k}(\tau )+<C_{GR}>Diff_{k}(\tau ))}{V_{eff,GR}(<C_{R}>+<C_{GR}>)^{2}}}}$

In the ideal case, the cross-correlation function is proportional to the concentration of the doubly labeled fluorescent complex:

${\displaystyle \ G_{GR}(\tau )=1+{\frac {<C_{GR}>Diff_{GR}(\tau )}{V_{eff}(<C_{G}>+<C_{GR}>)(<C_{R}>+<C_{GR}>)}}}$

with ${\displaystyle \ Diff_{k}(\tau )={\frac {1}{(1+{\frac {\tau }{\tau _{D,i}}})(1+a^{-2}({\frac {\tau }{\tau _{D,i}}})^{1/2}}}}$

The cross-correlation amplitude is directly proportional to the concentration of double-labeled (red and green) species [7]

See also

• Dynamic light scattering
• Fluorescence spectroscopy
• Diffusion coefficient

References

1. Eigen, M. and Rigler, R. Sorting single molecules: Application to diagnostics and evolutionary biotechnology. (1994) Proc. Natl. Acad. Sci. U.S.A. 91, 5740-5747.
2. Schwille, P.; Myer-Almes, F.J.; Rigler, R. Dual-color fluorescence cross-correlation spectroscopy for multicomponent diffusional analysis in solution. (1997) Biophys. J. 72, 1878-1886.
3. Itoh, K.; Isobe, K.; Watanabe W. Functional Imaging by Controlled Nonlinear Optical Phenomena. (2013) John Wiley & Sons
4. Bacia, K.; Kim, S.A.; Schwille, P. Fluorescence cross-correlation spectroscopy in living cells. (2006) Nat. Meth. 3, 83-89 .
5. Slaughter, B. D.; Unruh, J. R.; Li, R. Fluorescence fluctuation spectroscopy and imaging methods for examination of dynamic protein interactions in yeast. In Methods in Molecular Biology: Yeast Systems Biology. J.I. Castrillo and S.G. Oliver, Eds. (Springer, New York, 2011). Vol. 759, pp. 283-306.
6. Chen, Y. and Mueller, J.D. Determining the stoichiometry of protein heterocomplexes in living cells with fluorescence fluctuation spectroscopy. (2006) Proc. Natl. Acad. Sci. U.S.A. 104, 3147-3152.
7. http://www.rci.rutgers.edu/~moghe/biophy%20j%2083_1184.pdf

External links

• Fluorescence Cross Correlation (FCCS) (Becker & Hickl GmbH, web page)