Fluorescence correlation spectroscopy (FCS) is a robust method for the detection of intramolecular dynamics in proteins but is also susceptible to interference from other dynamic processes such as triplet kinetics and photobleaching. We describe an approach for detection of intramolecular dynamics in proteins labeled with a FRET dye pair based on global fitting to the two autocorrelation functions (green-green and red-red) and the two cross-correlation functions (greenred and red-green). We applied the method to detect intramolecular dynamics in the Ca 2+ signaling protein calmodulin. Dynamics were detected on the 100-μs time scale in Ca 2+ -activated calmodulin, whereas in apocalmodulin dynamics were not detected on this time scale. Control measurements on a polyproline FRET construct (Gly-Pro 15 -Cys) demonstrate the reliability of the method for isolating intramolecular dynamics from other dynamic processes on the microsecond time scale and confirm the absence of intramolecular dynamics of polyproline. We further show the sensitivity of the initial amplitudes of the FCS auto and cross-correlation functions to the presence of multiple FRET states, static or dynamic. The FCS measurements also show that the diffusion of Ca 2+ -calmodulin is slower than that of apocalmodulin, indicating either a larger average hydrodynamic radius or shape effects resulting in a slower translational diffusion.

While semiconductor quantum dots (QDs) have been used successfully in numerous single particle tracking (SPT) studies due to their high photoluminescence efficiency, photostability, and broad palette of emission colors, conventional QDs exhibit fluorescence intermittency or ‘blinking,’ which causes ambiguity in particle trajectory analysis and limits tracking duration. Here, non-blinking ‘giant’ quantum dots (gQDs) are exploited to study IgE-FcεRI receptor dynamics in live cells using a confocal-based 3D SPT microscope. There is a 7-fold increase in the probability of observing IgE-FcεRI for longer than 1 min using the gQDs compared to commercially available QDs. A time-gated photon-pair correlation analysis is implemented to verify that selected SPT trajectories are definitively from individual gQDs and not aggregates. The increase in tracking duration for the gQDs allows the observation of multiple changes in diffusion rates of individual IgE-FcεRI receptors occurring on long (>1 min) time scales, which are quantified using a time-dependent diffusion coefficient and hidden Markov modeling. Non-blinking gQDs should become an important tool in future live cell 2D and 3D SPT studies, especially in cases where changes in cellular dynamics are occurring on the time scale of several minutes.

Single-molecule fluorescence resonance energy transfer (smFRET) remains a widely utilized and powerful tool for quantifying heterogeneous interactions and conformational dynamics of biomolecules. However, traditional smFRET experiments either are limited to short observation times (typically less than 1 ms) in the case of "burst" confocal measurements or require surface immobilization which usually has a temporal resolution limited by the camera framing rate. We developed a smFRET 3D tracking microscope that is capable of observing single particles for extended periods of time with high temporal resolution. The confocal tracking microscope utilizes closed-loop feedback to follow the particle in solution by recentering it within two overlapping tetrahedral detection elements, corresponding to donor and acceptor channels. We demonstrated the microscope's multicolor tracking capability via random walk simulations and experimental tracking of 200 nm fluorescent beads in water with a range of apparent smFRET efficiency values, 0.45-0.69. We also demonstrated the microscope's capability to track and quantify double-stranded DNA undergoing intramolecular smFRET in a viscous glycerol solution. In future experiments, the smFRET 3D tracking system will be used to study protein conformational dynamics while diffusing in solution and native biological environments with high temporal resolution.

We analyze single molecule FRET burst measurements using Bayesian nested sampling. The MultiNest algorithm produces accurate FRET efficiency distributions from single-molecule data. FRET efficiency distributions recovered by MultiNest and classic maximum entropy are compared for simulated data and for calmodulin labeled at residues 44 and 117. MultiNest compares favorably with maximum entropy analysis for simulated data, judged by the Bayesian evidence. FRET efficiency distributions recovered for calmodulin labeled with two different FRET dye pairs depended on the dye pair and changed upon Ca2+ binding. We also looked at the FRET efficiency distributions of calmodulin bound to the calcium/calmodulin dependent protein kinase II (CaMKII) binding domain. For both dye pairs, the FRET efficiency distribution collapsed to a single peak in the case of calmodulin bound to the CaMKII peptide. These measurements strongly suggest that consideration of dye-protein interactions is crucial in forming an accurate picture of protein conformations from FRET data.