Single-molecule fluorescence probes dynamics of barrier crossing

feature-image

Play all audios:

Loading...

ABSTRACT Kramers developed the theory on how chemical reaction rates are influenced by the viscosity of the medium1,2. At the viscosity of water, the kinetics of unimolecular reactions are


described by diffusion of a Brownian particle over a free-energy barrier separating reactants and products. For reactions in solution this famous theory extended Eyring’s transition state


theory, and is widely applied in physics, chemistry and biology, including to reactions as complex as protein folding3,4. Because the diffusion coefficient of Kramers’ theory is determined


by the dynamics in the sparsely populated region of the barrier top, its properties have not been directly measured for any molecular system. Here we show that the Kramers diffusion


coefficient and free-energy barrier can be characterized by measuring the temperature- and viscosity-dependence of the transition path time for protein folding. The transition path is the


small fraction of an equilibrium trajectory for a single molecule when the free-energy barrier separating two states is actually crossed. Its duration, the transition path time, can now be


determined from photon trajectories for single protein molecules undergoing folding/unfolding transitions5. Our finding of a long transition path time with an unusually small solvent


viscosity dependence suggests that internal friction as well as solvent friction determine the Kramers diffusion coefficient for α-helical proteins, as opposed to a breakdown of his theory,


which occurs for many small-molecule reactions2. It is noteworthy that the new and fundamental information concerning Kramers’ theory and the dynamics of barrier crossings obtained here come


from experiments on a protein rather than a much simpler chemical or physical system. Access through your institution Buy or subscribe This is a preview of subscription content, access via


your institution ACCESS OPTIONS Access through your institution Subscribe to this journal Receive 51 print issues and online access $199.00 per year only $3.90 per issue Learn more Buy this


article * Purchase on SpringerLink * Instant access to full article PDF Buy now Prices may be subject to local taxes which are calculated during checkout ADDITIONAL ACCESS OPTIONS: * Log in


* Learn about institutional subscriptions * Read our FAQs * Contact customer support SIMILAR CONTENT BEING VIEWED BY OTHERS FLUORESCENCE RESONANCE ENERGY TRANSFER AT THE SINGLE-MOLECULE


LEVEL Article 28 March 2024 TRANSIENT BINDING AND JUMPING DYNAMICS OF P53 ALONG DNA REVEALED BY SUB-MILLISECOND RESOLVED SINGLE-MOLECULE FLUORESCENCE TRACKING Article Open access 13 August


2020 EXTENDING FLUORESCENCE ANISOTROPY TO LARGE COMPLEXES USING REVERSIBLY SWITCHABLE PROTEINS Article Open access 10 October 2022 REFERENCES * Kramers, H. A. Brownian motion in a field of


force and the diffusion model of chemical reactions. _Physica_ 7, 284–304 (1940) Article  MathSciNet  CAS  ADS  Google Scholar  * Hänggi, P., Talkner, P. & Borkovec, M. Reaction rate


theory; fifty years after Kramers. _Rev. Mod. Phys._ 62, 251–341 (1990) Article  MathSciNet  ADS  Google Scholar  * Oliveberg, M. & Wolynes, P. G. The experimental survey of


protein-folding energy landscapes. _Q. Rev. Biophys._ 38, 245–288 (2005) Article  CAS  Google Scholar  * Kubelka, J., Henry, E. R., Cellmer, T., Hofrichter, J. & Eaton, W. A. Chemical,


physical, and theoretical kinetics of an ultrafast folding protein. _Proc. Natl Acad. Sci. USA_ 105, 18655–18662 (2008) Article  CAS  ADS  Google Scholar  * Chung, H. S., McHale, K., Louis,


J. M. & Eaton, W. A. Single-molecule fluorescence experiments determine protein folding transition path times. _Science_ 335, 981–984 (2012) Article  CAS  ADS  Google Scholar  * Chung,


H. S. et al. Extracting rate coefficients from single-molecule photon trajectories and FRET efficiency histograms for a fast-folding protein. _J. Phys. Chem. A_ 115, 3642–3656 (2011) Article


  CAS  Google Scholar  * Lindorff-Larsen, K., Piana, S., Dror, R. O. & Shaw, D. E. How fast-folding proteins fold. _Science_ 334, 517–520 (2011) Article  CAS  ADS  Google Scholar  *


Gopich, I. V. & Szabo, A. Decoding the pattern of photon colors in single-molecule FRET. _J. Phys. Chem. B_ 113, 10965–10973 (2009) Article  CAS  Google Scholar  * Chung, H. S., Louis,


J. M. & Eaton, W. A. Experimental determination of upper bound for transition path times in protein folding from single-molecule photon-by-photon trajectories. _Proc. Natl Acad. Sci.


USA_ 106, 11837–11844 (2009) Article  CAS  ADS  Google Scholar  * Chung, H. S., Cellmer, T., Louis, J. M. & Eaton, W. A. Measuring ultrafast protein folding rates from photon-by-photon


analysis of single molecule fluorescence trajectories. _Chem. Phys._ 422, 229–237 (2013) Article  CAS  Google Scholar  * Hummer, G. From transition paths to transition states and rate


coefficients. _J. Chem. Phys._ 120, 516–523 (2004) Article  CAS  ADS  Google Scholar  * Socci, N. D., Onuchic, J. N. & Wolynes, P. G. Diffusive dynamics of the reaction coordinate for


protein folding funnels. _J. Chem. Phys._ 104, 5860–5868 (1996) Article  CAS  ADS  Google Scholar  * Klimov, D. K. & Thirumalai, D. Viscosity dependence of the folding rates of proteins.


_Phys. Rev. Lett._ 79, 317–320 (1997) Article  CAS  ADS  Google Scholar  * Best, R. B. & Hummer, G. Reaction coordinates and rates from transition paths. _Proc. Natl Acad. Sci. USA_


102, 6732–6737 (2005) Article  CAS  ADS  Google Scholar  * Cellmer, T., Henry, E. R., Hofrichter, J. & Eaton, W. A. Measuring internal friction of an ultrafast-folding protein. _Proc.


Natl Acad. Sci. USA_ 105, 18320–18325 (2008) Article  CAS  ADS  Google Scholar  * Kubelka, J., Hofrichter, J. & Eaton, W. A. The protein folding ‘speed limit’. _Curr. Opin. Struct.


Biol._ 14, 76–88 (2004) Article  CAS  Google Scholar  * Yang, W. Y. & Gruebele, M. Folding at the speed limit. _Nature_ 423, 193–197 (2003) Article  CAS  ADS  Google Scholar  * Hummer,


G. & Szabo, A. Free energy surfaces from single-molecule force spectroscopy. _Acc. Chem. Res._ 38, 504–513 (2005) Article  CAS  Google Scholar  * Godoy-Ruiz, R. et al. Estimating


free-energy barrier heights for an ultrafast folding protein from calorimetric and kinetic data. _J. Phys. Chem. B_ 112, 5938–5949 (2008) Article  CAS  Google Scholar  * Portman, J. J.,


Takada, S. & Wolynes, P. G. Microscopic theory of protein folding rates. II. Local reaction coordinates and chain dynamics. _J. Chem. Phys._ 114, 5082–5096 (2001) Article  CAS  ADS 


Google Scholar  * Makarov, D. E. Interplay of non-Markov and internal friction effects in the barrier crossing kinetics of biopolymers: insights from an analytically solvable model. _J.


Chem. Phys._ 138, 014102 (2013) Article  ADS  Google Scholar  * Schulz, J. C. F., Schmidt, L., Best, R. B., Dzubiella, J. & Netz, R. R. Peptide chain dynamics in light and heavy water:


zooming in on internal friction. _J. Am. Chem. Soc._ 134, 6273–6279 (2012) Article  CAS  Google Scholar  * Ansari, A., Jones, C. M., Henry, E. R., Hofrichter, J. & Eaton, W. A. The role


of solvent viscosity in the dynamics of protein conformational changes. _Science_ 256, 1796–1798 (1992) Article  CAS  ADS  Google Scholar  * Soranno, A. et al. Quantifying internal friction


in unfolded and intrinsically disordered proteins with single-molecule spectroscopy. _Proc. Natl Acad. Sci. USA_ 109, 17800–17806 (2012) Article  CAS  ADS  Google Scholar  * Bryngelson, J.


D. & Wolynes, P. G. Intermediates and barrier crossing in a random energy-model (with applications to protein folding). _J. Phys. Chem._ 93, 6902–6915 (1989) Article  CAS  Google Scholar


  * Zagrovic, B. & Pande, V. Solvent viscosity dependence of the folding rate of a small protein: distributed computing study. _J. Comput. Chem._ 24, 1432–1436 (2003) Article  CAS 


Google Scholar  * Sutto, L., Latzer, J., Hegler, J. A., Ferreiro, D. U. & Wolynes, P. G. Consequences of localized frustration for the folding mechanism of the IM7 protein. _Proc. Natl


Acad. Sci. USA_ 104, 19825–19830 (2007) Article  CAS  ADS  Google Scholar  * Jas, G. S., Eaton, W. A. & Hofrichter, J. Effect of viscosity on the kinetics of α-helix and β-hairpin


formation. _J. Phys. Chem. B_ 105, 261–272 (2001) Article  CAS  Google Scholar  * Wensley, B. G. et al. Experimental evidence for a frustrated energy landscape in a three-helix-bundle


protein family. _Nature_ 463, 685–688 (2010) Article  CAS  ADS  Google Scholar  * Hagen, S. J. Solvent viscosity and friction in protein folding dynamics. _Curr. Protein Pept. Sci._ 11,


385–395 (2010) Article  CAS  ADS  Google Scholar  * Merchant, K. A., Best, R. B., Louis, J. M., Gopich, I. V. & Eaton, W. A. Characterizing the unfolded states of proteins using


single-molecule FRET spectroscopy and molecular simulations. _Proc. Natl Acad. Sci. USA_ 104, 1528–1533 (2007) Article  CAS  ADS  Google Scholar  * Vogelsang, J. et al. A reducing and


oxidizing system minimizes photobleaching and blinking of fluorescent dyes. _Angew. Chem._ 47, 5465–5469 (2008) Article  CAS  Google Scholar  * Benninger, R. K. P. et al. Quantitative 3D


mapping of fluidic temperatures within microchannel networks using fluorescence lifetime imaging. _Anal. Chem._ 78, 2272–2278 (2006) Article  CAS  Google Scholar  * Viterbi, A. J. Error


bounds for convolution codes and an asymptotically optimum decoding algorithm. _IEEE Trans. Inf. Theory_ 13, 260–269 (1967) Article  Google Scholar  * Rabiner, L. R. A tutorial on hidden


Markov models and selected applications in speech. _Proc. IEEE_ 77, 257–286 (1989) Article  Google Scholar  * Best, R. B., Hummer, G. & Eaton, W. A. Native contacts determine protein


folding mechanisms in atomistic simulations. _Proc. Natl Acad. Sci USA_ http://dx.doi.org/10.1073/pnas.1311599110 (in the press) * Zhu, Y. et al. Ultrafast folding of α3D: a _de novo_


designed three-helix bundle protein. _Proc. Natl Acad. Sci. USA_ 100, 15486–15491 (2003) Article  CAS  ADS  Google Scholar  * Liu, F. et al. A one-dimensional free energy surface does not


account for two-probe folding kinetics of protein α3D. _J. Chem. Phys._ 130, 061101 (2009) Article  ADS  Google Scholar  Download references ACKNOWLEDGEMENTS We are particularly indebted to


J. M. Louis for the preparation, dye labelling and purification of the protein used in this work, with technical assistance from A. Aniana. We also thank R. Best, G. Hummer and A. Szabo for


discussions and comments on the manuscript, and D.E. Shaw Research for providing access to their molecular dynamics trajectories for the calculations by R. Best. This work was supported by


the Intramural Research Program of the National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS *


Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, 20892-0520, Maryland, USA Hoi Sung Chung & 


William A. Eaton Authors * Hoi Sung Chung View author publications You can also search for this author inPubMed Google Scholar * William A. Eaton View author publications You can also search


for this author inPubMed Google Scholar CONTRIBUTIONS H.S.C. and W.A.E. designed the research and wrote the manuscript; H.S.C. collected and analysed the experimental data. CORRESPONDING


AUTHORS Correspondence to Hoi Sung Chung or William A. Eaton. ETHICS DECLARATIONS COMPETING INTERESTS The authors declare no competing financial interests. EXTENDED DATA FIGURES AND TABLES


EXTENDED DATA FIGURE 1 AMINO ACID SEQUENCES OF POLYPEPTIDES CONTAINING PROTEIN Α3D. Dyes were attached to the cysteine residues (red) and a biotin molecule was attached to the lysine residue


(blue) in the AviTag sequence. EXTENDED DATA FIGURE 2 PHOTON TRAJECTORY AND KINETICS MODELS. A, The definition of photon indices and time interval of a photon trajectory with a folding


transition. B, C, Photon trajectories were analysed using the two-state model to determine kinetics parameters (B) or the three-state model to determine the average transition path times


(_t_TP  = 1/2_k_S) (C). EXTENDED DATA FIGURE 3 FRET EFFICIENCY HISTOGRAMS OF Α3D IN 2.25 M GDMCL SOLUTION AT DIFFERENT TEMPERATURES. The FRET efficiency histograms were constructed from 1-ms


bins in the trajectories with the mean photon count rate >40 ms−1. Wide and narrow bars are the experimental histograms and the histograms constructed from re-coloured photon


trajectories using the parameters obtained from the maximum likelihood method with the two-state model (Extended Data Table 1), respectively. The agreement between the two histograms


validates the description of α3D as a two-state folder8. The similar ratio of the integral of the folded (high FRET) and the unfolded (low FRET) distributions indicates that the equilibrium


constant is unchanged over the temperature range of the measurement, as shown more precisely in the maximum likelihood analysis. At high temperature and low pH, where the 11 glutamates and 1


aspartate are protonated, more than two states are observed37,38. EXTENDED DATA FIGURE 4 DONOR–ACCEPTOR CROSS-CORRELATION FUNCTIONS AT DIFFERENT TEMPERATURES. Black solid lines are


exponential functions that best fit the data. The fitting parameters are listed in Extended Data Table 1. EXTENDED DATA FIGURE 5 FRET EFFICIENCY HISTOGRAMS OF Α3D AT VARIOUS SOLVENT


VISCOSITIES. The FRET efficiency histograms were constructed from 1-ms bins in the trajectories with the mean photon count rate >50 ms−1 for 2.25 M and 3.2 M GdmCl and from 2-ms bins in


the trajectories with the mean photon count rate >30 ms−1 for 4.6 M, 4.3 M and 3.8 M GdmCl concentrations. At the relative viscosity (_η_/_η_0) 1, 10 and 38, the higher concentration of


GdmCl was used to counteract the stabilization of proteins by glycerol to maintain the ratio of folded to unfolded molecules as close to unity as practically possible. The similar ratio of


the integral of the folded (high FRET) and the unfolded (low FRET) distributions indicates that the equilibrium constant is unchanged at these conditions, as shown more precisely in the


maximum likelihood analysis. EXTENDED DATA FIGURE 6 DONOR–ACCEPTOR CROSS-CORRELATION OF THE SEGMENTS OF THE FLUORESCENCE TRAJECTORIES CORRESPONDING TO THE UNFOLDED STATE (REF. 24). A, Black


solid lines are exponential functions that best fit the data. The fitting parameters are listed in Extended Data Table 2. B, The unfolded state dynamics are slowed approximately linearly by


the solvent viscosity as previously observed at high denaturant concentrations24. The relaxation time at _η_/ _η_0 = 1 (aqueous solution) is too fast to be measured by this method.


POWERPOINT SLIDES POWERPOINT SLIDE FOR FIG. 1 POWERPOINT SLIDE FOR FIG. 2 POWERPOINT SLIDE FOR FIG. 3 POWERPOINT SLIDE FOR FIG. 4 RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS


ARTICLE CITE THIS ARTICLE Chung, H., Eaton, W. Single-molecule fluorescence probes dynamics of barrier crossing. _Nature_ 502, 685–688 (2013). https://doi.org/10.1038/nature12649 Download


citation * Received: 15 May 2013 * Accepted: 12 September 2013 * Published: 23 October 2013 * Issue Date: 31 October 2013 * DOI: https://doi.org/10.1038/nature12649 SHARE THIS ARTICLE Anyone


you share the following link with will be able to read this content: Get shareable link Sorry, a shareable link is not currently available for this article. Copy to clipboard Provided by


the Springer Nature SharedIt content-sharing initiative