Volume 109, Issue 3, Pages (August 2015)

Slides:



Advertisements
Similar presentations
Probing α-310 Transitions in a Voltage-Sensing S4 Helix
Advertisements

Small Peptide Binding Stiffens the Ubiquitin-like Protein SUMO1
Probing α-310 Transitions in a Voltage-Sensing S4 Helix
Volume 98, Issue 3, Pages (February 2010)
Indrajeet Singh, Efrosyni Themistou, Lionel Porcar, Sriram Neelamegham 
Volume 102, Issue 2, Pages (January 2012)
Dynamics of Active Semiflexible Polymers
Volume 103, Issue 5, Pages (September 2012)
Volume 113, Issue 12, Pages (December 2017)
Volume 106, Issue 12, Pages (June 2014)
Calcium Regulation of Myosin-I Tension Sensing
Carlos R. Baiz, Andrei Tokmakoff  Biophysical Journal 
Joseph M. Johnson, William J. Betz  Biophysical Journal 
He Meng, Johan Bosman, Thijn van der Heijden, John van Noort 
Volume 111, Issue 2, Pages (July 2016)
Volume 103, Issue 12, Pages (December 2012)
Volume 108, Issue 4, Pages (February 2015)
Volume 108, Issue 6, Pages (March 2015)
Jérôme Lang, Amandine Maréchal, Manon Couture, Jérôme Santolini 
Christopher B. Stanley, Tatiana Perevozchikova, Valerie Berthelier 
Microsecond Unfolding Kinetics of Sheep Prion Protein Reveals an Intermediate that Correlates with Susceptibility to Classical Scrapie  Kai-Chun Chen,
Homodimeric Kinesin-2 KIF3CC Promotes Microtubule Dynamics
Physiological Pathway of Magnesium Influx in Rat Ventricular Myocytes
Volume 101, Issue 7, Pages (October 2011)
Qiaochu Li, Stephen J. King, Ajay Gopinathan, Jing Xu 
Factor Xa Binding to Phosphatidylserine-Containing Membranes Produces an Inactive Membrane-Bound Dimer  Tilen Koklic, Rinku Majumder, Gabriel E. Weinreb,
Francesca Pennacchietti, Travis J. Gould, Samuel T. Hess 
Volume 109, Issue 5, Pages (September 2015)
Carlos R. Baiz, Andrei Tokmakoff  Biophysical Journal 
Xiao-Han Li, Elizabeth Rhoades  Biophysical Journal 
Volume 110, Issue 9, Pages (May 2016)
Volume 100, Issue 3, Pages (February 2011)
Volume 113, Issue 4, Pages (August 2017)
Haden L. Scott, Justin M. Westerfield, Francisco N. Barrera 
Quantifying the Interaction between EGFR Dimers and Grb2 in Live Cells
The Standard Deviation in Fluorescence Correlation Spectroscopy
Volume 93, Issue 12, Pages (December 2007)
Samuel T. Hess, Watt W. Webb  Biophysical Journal 
Volume 99, Issue 8, Pages (October 2010)
Volume 88, Issue 6, Pages (June 2005)
Volume 96, Issue 5, Pages (March 2009)
Troponin-Tropomyosin: An Allosteric Switch or a Steric Blocker?
Saswata Sankar Sarkar, Jayant B. Udgaonkar, Guruswamy Krishnamoorthy 
Volume 103, Issue 5, Pages (September 2012)
Thermodynamic Characterization of the Unfolding of the Prion Protein
Dynamics of Active Semiflexible Polymers
Kinetics of Surface-Driven Self-Assembly and Fatigue-Induced Disassembly of a Virus- Based Nanocoating  Alejandro Valbuena, Mauricio G. Mateu  Biophysical.
Volume 111, Issue 1, Pages (July 2016)
Biophysical Characterization of Styryl Dye-Membrane Interactions
Volume 111, Issue 5, Pages (September 2016)
Saswata Sankar Sarkar, Jayant B. Udgaonkar, Guruswamy Krishnamoorthy 
Fredrik Elinder, Michael Madeja, Hugo Zeberg, Peter Århem 
Volume 82, Issue 3, Pages (March 2002)
Ca2+ Regulation of Gelsolin Activity: Binding and Severing of F-actin
Christina Bergonzo, Thomas E. Cheatham  Biophysical Journal 
Interaction of Oxazole Yellow Dyes with DNA Studied with Hybrid Optical Tweezers and Fluorescence Microscopy  C.U. Murade, V. Subramaniam, C. Otto, Martin.
Brownian Dynamics of Subunit Addition-Loss Kinetics and Thermodynamics in Linear Polymer Self-Assembly  Brian T. Castle, David J. Odde  Biophysical Journal 
Volume 113, Issue 12, Pages (December 2017)
Volume 107, Issue 3, Pages (August 2014)
Mechanical Coupling between Myosin Molecules Causes Differences between Ensemble and Single-Molecule Measurements  Sam Walcott, David M. Warshaw, Edward P.
Inherent Force-Dependent Properties of β-Cardiac Myosin Contribute to the Force- Velocity Relationship of Cardiac Muscle  Michael J. Greenberg, Henry Shuman,
Volume 105, Issue 9, Pages (November 2013)
Small Peptide Binding Stiffens the Ubiquitin-like Protein SUMO1
Probing the Dynamics of Clot-Bound Thrombin at Venous Shear Rates
Ricksen S. Winardhi, Qingnan Tang, Jin Chen, Mingxi Yao, Jie Yan 
Brian L. Sprague, Robert L. Pego, Diana A. Stavreva, James G. McNally 
Volume 112, Issue 9, Pages (May 2017)
Volume 108, Issue 4, Pages (February 2015)
George D. Dickinson, Ian Parker  Biophysical Journal 
Volume 98, Issue 12, Pages (June 2010)
Presentation transcript:

Volume 109, Issue 3, Pages 510-520 (August 2015) Relative Cosolute Size Influences the Kinetics of Protein-Protein Interactions  Laurel Hoffman, Xu Wang, Hugo Sanabria, Margaret S. Cheung, John A. Putkey, M. Neal Waxham  Biophysical Journal  Volume 109, Issue 3, Pages 510-520 (August 2015) DOI: 10.1016/j.bpj.2015.06.043 Copyright © 2015 Biophysical Society Terms and Conditions

Figure 1 CaM plasticity and experimental system. (A) The structural ensemble from NMR experiments (PDB:1DMO (15)) are aligned to the N-lobe (red) and overlaid to illustrate the flexibility and conformational sampling of CaM. In contrast, CaMKI peptide-bound Ca2+/CaM (green) adopts a compact conformation (PDB:1MXE (12)). (B) Reagents used in the experimental system are of varying sizes, with approximate radii of 51, 24, and 4 Å for ficoll-70, dextran-10, and sucrose, respectively. CaM, illustrated in cartoon form with C-lobes (blue circles) and N- lobes (red circles), connected by a flexible linker, is most similar in size to dextran-10. To see this figure in color, go online. Biophysical Journal 2015 109, 510-520DOI: (10.1016/j.bpj.2015.06.043) Copyright © 2015 Biophysical Society Terms and Conditions

Figure 2 Steady-state Ca2+ binding affinity for CaM. (A) Ca2+ affinities were determined by titrating Ca2+ into CaM in the absence of polymers (black) and in the presence of 20% ficoll-70 (blue) or 20% dextran-10 (green). (B) Ca2+ affinities were also determined in the presence (red) or absence (black) of 20% sucrose. Representative fluorescence intensities for each condition are plotted as a function of [free Ca2+], fit with a Hill function (solid lines), and normalized such that the fits spanned intensities from 0 to 1. To see this figure in color, go online. Biophysical Journal 2015 109, 510-520DOI: (10.1016/j.bpj.2015.06.043) Copyright © 2015 Biophysical Society Terms and Conditions

Figure 3 CaM diffusion coefficients. (A) Representative FCS data of CaM diffusion in buffer to illustrate data collection methodology. Autocorrelation functions were calculated in real-time from photon counts, then the averages of five experiments (shaded data points) were fit with single-component fits (solid trace) to determine diffusion coefficients. (Bottom inset) Residuals from the fit are shown. Diffusion coefficients were determined in various concentrations of ficoll-70 (B), dextran-10 (C), and sucrose (D). Experiments were completed in triplicate. Error bars represent mean ± SE. Biophysical Journal 2015 109, 510-520DOI: (10.1016/j.bpj.2015.06.043) Copyright © 2015 Biophysical Society Terms and Conditions

Figure 4 Measurement of CaM-CaMKI peptide association rates and determination of kon. (A) A representative association experiment for CaMKI peptide is shown to illustrate data collection and fitting. CaM association rates were measured under pseudo first-order binding conditions and the data shown represent averages spanning a range of peptide concentrations (black to red scatter plots), with only every 20th data point plotted for clarity. Data was fit with single-exponential rates to determine observed rates, kobs. Observed rates for each concentration were then plotted as a function of CaMKI peptide concentration (inset) and the kon value was determined from the slope of the linear fit. This experimental procedure was repeated in varying concentrations of ficoll-70 (B), dextran-10 (C), and sucrose (D) to determine rates. Experiments were completed in duplicate. Error bars represent mean ± SE. To see this figure in color, go online. Biophysical Journal 2015 109, 510-520DOI: (10.1016/j.bpj.2015.06.043) Copyright © 2015 Biophysical Society Terms and Conditions

Figure 5 The fit of kon versus D with diffusion-limited- or reaction-rate-influenced models. Association rates in the presence of (A) ficoll-70, (B) dextran-10, and (C) sucrose, i.e., kon, were plotted, respectively, as a function of diffusion coefficient, D. To illustrate how data converge or deviate from the two models, hypothetical diffusion-limited relationships (dashed lines) and fits of data (solid lines) are given. Data were fit to the reaction-rate-influenced model kon = (α(D−D0))/(β+(D−D0)) (Eq. 7; see Materials and Methods). The relationship for data collected in the presence of ficoll-70 was estimated with the following values: α = 494, β = 2.26, and D0 = 59.8 μm2/s. Fits of dextran-10 data reveal that α = 1100, β = 59.5, and D0 = 24.5 μm2/s, and fits for sucrose data are α = 531, β = 12.7, and D0 = 47.1 μm2/s. Biophysical Journal 2015 109, 510-520DOI: (10.1016/j.bpj.2015.06.043) Copyright © 2015 Biophysical Society Terms and Conditions