Markus Götz

A Multicolor Single-Molecule FRET Approach to Study Protein Dynamics and Interactions Simultaneously.

Single-molecule Förster resonance energy transfer (smFRET) is a versatile tool for studying biomolecules in a quantitative manner. Multiple conformations within and interactions between biomolecules can be detected and their kinetics can be determined. Thus, smFRET has become an essential tool in enzymology. Ordinary two-color smFRET experiments can provide only limited insight into the function of biological systems, which commonly consist of more than two components. A complete understanding of complex multicomponent biological systems requires correlated information on conformational rearrangements on the one hand and transient interactions with binding partners on the other. Multicolor smFRET experiments enable the direct observation of such correlated dynamics and interactions. Here we demonstrate the power and limitations of multicolor smFRET experiments including the description of a multicolor smFRET setup and data analysis. A general analytical procedure for multicolor smFRET data is presented and applied to the multicomponent heat shock protein 90 system. This allows us to identify microscopic states in transient complexes. Conformational dynamics and nucleotide binding are simultaneously detected, which is impossible using two-color smFRET. Additionally, their correlation is quantified using 3D ensemble hidden Markov analysis, in and out of equilibrium. This method is perfectly suited for protein systems that are much more sophisticated than previously studied DNA-based systems. By extending the application to biologically relevant systems, multicolor smFRET comes of age and provides a unique mechanistic insight into protein machines.

Single-Molecule Analysis beyond Dwell Times: Demonstration and Assessment in and out of Equilibrium

We present a simple and robust technique for extracting kinetic rate models and thermodynamic quantities from single-molecule time traces. Single-molecule analysis of complex kinetic sequences (SMACKS) is a maximum-likelihood approach that resolves all statistically relevant rates and also their uncertainties. This is achieved by optimizing one global kinetic model based on the complete data set while allowing for experimental variations between individual trajectories. In contrast to dwell-time analysis, which is the current standard method, SMACKS includes every experimental data point, not only dwell times. As a result, it works as well for long trajectories as for an equivalent set of short ones. In addition, the previous systematic overestimation of fast over slow rates is solved. We demonstrate the power of SMACKS on the kinetics of the multidomain protein Hsp90 measured by single-molecule Förster resonance energy transfer. Experiments in and out of equilibrium are analyzed and compared to simulations, shedding new light on the role of Hsp90s ATPase function. SMACKS resolves accurate rate models even if states cause indistinguishable signals. Thereby, it pushes the boundaries of single-molecule kinetics beyond those of current methods.

Precision and accuracy of single-molecule FRET measurements—a multi-laboratory benchmark study

Single-molecule Förster resonance energy transfer (smFRET) is increasingly being used to determine distances, structures, and dynamics of biomolecules in vitro and in vivo. However, generalized protocols and FRET standards to ensure the reproducibility and accuracy of measurements of FRET efficiencies are currently lacking. Here we report the results of a comparative blind study in which 20 labs determined the FRET efficiencies (E) of several dye-labeled DNA duplexes. Using a unified, straightforward method, we obtained FRET efficiencies with s.d. between ±0.02 and ±0.05. We suggest experimental and computational procedures for converting FRET efficiencies into accurate distances, and discuss potential uncertainties in the experiment and the modeling. Our quantitative assessment of the reproducibility of intensity-based smFRET measurements and a unified correction procedure represents an important step toward the validation of distance networks, with the ultimate aim of achieving reliable structural models of biomolecular systems by smFRET-based hybrid methods.A multi-laboratory study finds that single-molecule FRET is a reproducible and reliable approach for determining accurate distances in dye-labeled DNA duplexes.

Effects of Inhibitors on Hsp90′s Conformational Dynamics, Cochaperone and Client Interactions

The molecular chaperone and heat-shock protein Hsp90 has become a central target in anti-cancer therapy. Nevertheless, the effect of Hsp90 inhibition is still not understood at the molecular level, preventing a truly rational drug design. Here we report on the effect of the most prominent drug candidates, namely, radicicol, geldanamycin, derivatives of purine, and novobiocin, on Hsp90s characteristic conformational dynamics and the binding of three interaction partners. Unexpectedly, the global opening and closing transitions are hardly affected by Hsp90 inhibitors. Moreover, we find no significant changes in the binding of the cochaperones Aha1 and p23 nor of the model substrate Δ131Δ. This holds true for competitive and allosteric inhibitors. Therefore, direct inhibition mechanisms affecting only one molecular interaction are unlikely. We suggest that the inhibitory action observed in vivo is caused by a combination of subtle effects, which can be used in the search for novel Hsp90 inhibition mechanisms.

Cooperative Nucleotide Binding in Hsp90 and Its Regulation by Aha1

The function of the molecular chaperone Hsp90 depends on large conformational changes, the rearrangement of local motifs, and the binding and hydrolysis of ATP. The size and complexity of the Hsp90 system impedes the detailed investigation of their interplay using standard methods. To overcome this limitation, we developed a three-color single-molecule FRET assay to study the interaction of Hsp90 with a fluorescently labeled reporter nucleotide in detail. It allows us to directly observe the cooperativity between the two nucleotide binding pockets in the protein dimer. Furthermore, our approach disentangles the protein conformation and the nucleotide binding state of Hsp90 and extracts the kinetics of the state transitions. Thereby, we can identify the kinetic causes mediating the cooperativity. We find that the presence of the first nucleotide prolongs the binding of the second nucleotide to Hsp90. In addition, we observe changes in the kinetics for both the open and the closed conformation of Hsp90 in dependence on the number of occupied nucleotide binding sites. Our analysis also reveals how the co-chaperone Aha1, known to accelerate Hsp90s ATPase activity, affects those transitions in a nucleotide-dependent and independent manner, thereby adding another layer of regulation to Hsp90.

Publisher Correction: Precision and accuracy of single-molecule FRET measurements—a multi-laboratory benchmark study

This paper was originally published under standard Springer Nature copyright. As of the date of this correction, the Analysis is available online as an open-access paper with a CC-BY license. No other part of the paper has been changed.

Conformational Dynamics of a Single Protein Monitored for 24 h at Video Rate

We use plasmon rulers to follow the conformational dynamics of a single protein for up to 24 h at a video rate. The plasmon ruler consists of two gold nanospheres connected by a single protein linker. In our experiment, we follow the dynamics of the molecular chaperone heat shock protein 90 (Hsp90), which is known to show “open” and “closed” conformations. Our measurements confirm the previously known conformational dynamics with transition times in the second to minute time scale and reveals new dynamics on the time scale of minutes to hours. Plasmon rulers thus extend the observation bandwidth 3–4 orders of magnitude with respect to single-molecule fluorescence resonance energy transfer and enable the study of molecular dynamics with unprecedented precision.

Cooperative nucleotide binding in Hsp90 and the underlying mechanisms

The function of the molecular chaperone Hsp90 depends on large conformational changes, rearrangement of local motifs, as well as the binding and hydrolysis of ATP. The complexity of the Hsp90 system impedes the detailed investigation of their interplay using standard methods. By the application of three-color single molecule FRET to Hsp90 and a reporter nucleotide, we directly observe cooperativity between the two nucleotide binding pockets in the protein dimer. Through allocating the microscopic states and extracting their kinetics, we identify the mechanisms underlying the cooperativity. Surprisingly, nucleotide binding affects several state transitions, which demonstrates the complexity of cooperativity in protein systems. The co-chaperone Aha1, known to accelerate Hsp90s ATPase activity, adds another layer of complexity by affecting transitions in a nucleotide-dependent and -independent manner.

Experiment-friendly kinetic analysis of single molecule data in and out of equilibrium

We present a simple and robust technique to extract kinetic rate models and thermodynamic quantities from single molecule time traces. SMACKS (Single Molecule Analysis of Complex Kinetic Sequences) is a maximum likelihood approach that works equally well for long trajectories as for a set of short ones. It resolves all statistically relevant rates and also their uncertainties. This is achieved by optimizing one global kinetic model based on the complete dataset, while allowing for experimental variations between individual trajectories. In particular, neither a priori models nor equilibrium have to be assumed. The power of SMACKS is demonstrated on the kinetics of the multi-domain protein Hsp90 measured by smFRET (single molecule Förster resonance energy transfer). Experiments in and out of equilibrium are analyzed and compared to simulations, shedding new light on the role of Hsp90’s ATPase function. SMACKS pushes the boundaries of single molecule kinetics far beyond current methods.