Fluorescence correlation spectroscopy in living cells
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Fluorescence correlation spectroscopy (FCS) is an ideal analytical tool for studying concentrations, propagation, interactions and internal dynamics of molecules at nanomolar concentrations in living cells. FCS analyzes minute fluorescence-intensity fluctuations about the equilibrium of a small ensemble (<103) of molecules. These fluctuations act like a 'fingerprint' of a molecular species detected when entering and leaving a femtoliter-sized optically defined observation volume created by a focused laser beam. In FCS the fluorescence fluctuations are recorded as a function of time and then statistically analyzed by autocorrelation analysis. The resulting autocorrelation curve yields a measure of self-similarity of the system after a certain time delay, and its amplitude describes the normalized variance of the fluorescence fluctuations. By fitting the curves to an appropriate physical model, this method provides precise information about a multitude of measurement parameters, including diffusion coefficients, local concentration, states of aggregation and molecular interactions. FCS operates in real time with diffraction-limited spatial and sub-microsecond temporal resolution. Assessing diverse molecular dynamics within the living cell is a challenge well met by FCS because of its singlemolecule sensitivity and high dynamic resolution3,4. For these same reasons, however, intracellular FCS measurements also harbor the large risk of collecting artifacts and thus producing erroneous data. Here we provide a step-by-step guide to the application of FCS to cellular systems, including methods for minimizing artifacts, optimizing measurement conditions and obtaining parameter values in the face of diverse and complex conditions of the living cell. A discussion of advantages and disadvantages of onephoton versus two-photon excitation for FCS is available in Supplementary Methods online.
Details
Original language | English |
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Pages (from-to) | 963-973 |
Number of pages | 11 |
Journal | Nature methods |
Volume | 4 |
Issue number | 11 |
Publication status | Published - Nov 2007 |
Peer-reviewed | Yes |
Externally published | Yes |
External IDs
PubMed | 17971781 |
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