Jean-François Mercier, Gary W. Slater  Biophysical Journal 

Slides:



Advertisements
Similar presentations
Koen E. Merkus, Menno W.J. Prins, Cornelis Storm  Biophysical Journal 
Advertisements

Ining Jou, Murugappan Muthukumar  Biophysical Journal 
Klas H. Pettersen, Gaute T. Einevoll  Biophysical Journal 
Thomas J. English, Daniel A. Hammer  Biophysical Journal 
Induced Fit and the Entropy of Structural Adaptation in the Complexation of CAP and λ- Repressor with Cognate DNA Sequences  Surjit B. Dixit, David Q.
C60 Binds to and Deforms Nucleotides
Toshiro Oda, Keiichi Namba, Yuichiro Maéda  Biophysical Journal 
Molecular Dynamics Simulations of the Lipid Bilayer Edge
Volume 107, Issue 10, Pages (November 2014)
Regular Gaits and Optimal Velocities for Motor Proteins
Langevin Dynamics Simulations of Genome Packing in Bacteriophage
Simulations of Oligomeric Intermediates in Prion Diseases
Modeling Endoplasmic Reticulum Network Maintenance in a Plant Cell
A Consistent Experimental and Modeling Approach to Light-Scattering Studies of Protein-Protein Interactions in Solution  D. Asthagiri, A. Paliwal, D.
The Robust Assembly of Small Symmetric Nanoshells
Volume 111, Issue 2, Pages (July 2016)
Volume 108, Issue 4, Pages (February 2015)
Is Aggregate-Dependent Yeast Aging Fortuitous
Edmond Chow, Jeffrey Skolnick  Biophysical Journal 
Protein Free Energy Landscapes Remodeled by Ligand Binding
Sean A. McKinney, Chirlmin Joo, Taekjip Ha  Biophysical Journal 
A Programmable Optical Angle Clamp for Rotary Molecular Motors
Christopher Deufel, Michelle D. Wang  Biophysical Journal 
Tests of Continuum Theories as Models of Ion Channels. II
Coarse-Grained Peptide Modeling Using a Systematic Multiscale Approach
Volume 90, Issue 3, Pages (February 2006)
A Molecular-Mechanical Model of the Microtubule
Volume 89, Issue 3, Pages (September 2005)
Colocalization of Multiple DNA Loci: A Physical Mechanism
Low-Resolution Structures of Proteins in Solution Retrieved from X-Ray Scattering with a Genetic Algorithm  P. Chacón, F. Morán, J.F. Díaz, E. Pantos,
Adaptive Response of Actin Bundles under Mechanical Stress
Sanjin Marion, Carmen San Martín, Antonio Šiber  Biophysical Journal 
Modeling Diverse Range of Potassium Channels with Brownian Dynamics
Tests of Continuum Theories as Models of Ion Channels. I
Volume 91, Issue 12, Pages (December 2006)
Comparative Studies of Microtubule Mechanics with Two Competing Models Suggest Functional Roles of Alternative Tubulin Lateral Interactions  Zhanghan.
Volume 90, Issue 6, Pages (March 2006)
Ivan Coluzza, Daan Frenkel  Biophysical Journal 
Jason K. Cheung, Thomas M. Truskett  Biophysical Journal 
Sequence and Crowding Effects in the Aggregation of a 10-Residue Fragment Derived from Islet Amyloid Polypeptide  Eva Rivera, John Straub, D. Thirumalai 
Phase Behavior of DNA in the Presence of DNA-Binding Proteins
Shelly Tzlil, Diana Murray, Avinoam Ben-Shaul  Biophysical Journal 
Volume 104, Issue 5, Pages (March 2013)
M. Müller, K. Katsov, M. Schick  Biophysical Journal 
L. Stirling Churchman, Henrik Flyvbjerg, James A. Spudich 
Satomi Matsuoka, Tatsuo Shibata, Masahiro Ueda  Biophysical Journal 
A Flexible Approach to the Calculation of Resonance Energy Transfer Efficiency between Multiple Donors and Acceptors in Complex Geometries  Ben Corry,
Water Molecules and Hydrogen-Bonded Networks in Bacteriorhodopsin—Molecular Dynamics Simulations of the Ground State and the M-Intermediate  Sergei Grudinin,
Small Angle X-Ray Scattering Studies and Modeling of Eudistylia vancouverii Chlorocruorin and Macrobdella decora Hemoglobin  Angelika Krebs, Helmut Durchschlag,
Ining Jou, Murugappan Muthukumar  Biophysical Journal 
Dagmar Flöck, Volkhard Helms  Biophysical Journal 
Volume 108, Issue 9, Pages (May 2015)
Brownian Dynamics of Subunit Addition-Loss Kinetics and Thermodynamics in Linear Polymer Self-Assembly  Brian T. Castle, David J. Odde  Biophysical Journal 
Consequences of Molecular-Level Ca2+ Channel and Synaptic Vesicle Colocalization for the Ca2+ Microdomain and Neurotransmitter Exocytosis: A Monte Carlo.
Modeling Endoplasmic Reticulum Network Maintenance in a Plant Cell
The Mechanism of Phagocytosis: Two Stages of Engulfment
Volume 94, Issue 7, Pages (April 2008)
Chze Ling Wee, David Gavaghan, Mark S.P. Sansom  Biophysical Journal 
Subpiconewton Dynamic Force Spectroscopy Using Magnetic Tweezers
Kevin McHale, Andrew J. Berglund, Hideo Mabuchi  Biophysical Journal 
Membrane Perturbation Induced by Interfacially Adsorbed Peptides
Amir Marcovitz, Yaakov Levy  Biophysical Journal 
Regular Gaits and Optimal Velocities for Motor Proteins
Simulating the Entropic Collapse of Coarse-Grained Chromosomes
Siu Cheung Li, Matthew Hoyles, Serdar Kuyucak, Shin-Ho Chung 
Brian M. Baynes, Bernhardt L. Trout  Biophysical Journal 
Volume 108, Issue 8, Pages (April 2015)
Volume 108, Issue 4, Pages (February 2015)
Quantitative Modeling and Optimization of Magnetic Tweezers
Volume 108, Issue 9, Pages (May 2015)
Presentation transcript:

Solid Phase DNA Amplification: A Brownian Dynamics Study of Crowding Effects  Jean-François Mercier, Gary W. Slater  Biophysical Journal  Volume 89, Issue 1, Pages 32-42 (July 2005) DOI: 10.1529/biophysj.104.051904 Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 1 Representation of one cycle of the solid phase amplification process. The solution is first heated to break the molecule into its two complementary fragments (a). The solution is then cooled down to allow the template to bind to the complementary grafted primers (b). Finally the solution is reheated to allow the polymerase to add nucleotides at the end of the primers and eventually make a complete complementary copy of the template (c). The solution is then reheated and a new thermal cycle is started (d). Those three steps are respectively called denaturation, annealing, and extension. SPA results in a spatially located ssDNA colony. Note that since a molecule always generates its complementary sequence in a thermal cycle, the two complementary branches will be present in the colony and two different types of primers have to be attached to the surface. Biophysical Journal 2005 89, 32-42DOI: (10.1529/biophysj.104.051904) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 2 Example of the system studied using our BD algorithm. The molecule is made of a series of beads (the monomers), linked with a FENE potential and interacting with a truncated Lennard-Jones potential. Each bead interacts with the grafting impenetrable wall (here in light blue) via the truncated Lennard-Jones. Here the system is a small regular brush made of a central molecule, surrounded by six others, regularly placed around the central one at a distance R=7σ. Biophysical Journal 2005 89, 32-42DOI: (10.1529/biophysj.104.051904) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 3 Density plot of the end-to-end distance (h) of the contacts of the free end of the molecules with the grafted primers for various configurations. The red and white dot represents the molecule being followed, whereas the white dots represent other grafted molecules. In a, a single molecule is considered. As expected the distribution is symmetric around the grafted monomer. In b and c, the central molecule and one of the molecules on the perimeter of the small symmetric brush (see Fig. 2) are considered. The effect of the other molecules can clearly be seen. In the case of the molecules on the perimeter, their free ends are pushed outwards, away from the other molecules. In d, the central molecule of a small brush missing one perimeter molecule is considered. The free end of the central molecule tends to occupy the space left empty by the missing molecule. Biophysical Journal 2005 89, 32-42DOI: (10.1529/biophysj.104.051904) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 4 Probability distribution function for the end-to-end distance of contacts (h), for the molecules shown in Fig. 3, and has solid circles in the insets. (a) A single isolated molecule. (b) The center molecule of a small symmetric colony shows a dip at the radius corresponding to the other molecules. The distributions for both a molecule from the perimeter of a small symmetric colony (c) and the central molecule of a small symmetric colony missing one molecule (d) are flattened in comparison with the distribution found for an isolated molecule. The average contact distance is similar for all configurations: (a) 〈h〉=8.2(1); (b) 〈h〉=8.4(2); (c) 〈h〉=8.5(2); and (d) 〈h〉=8.5(1). Biophysical Journal 2005 89, 32-42DOI: (10.1529/biophysj.104.051904) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 5 Probability distribution function for the x=xfree-end-xgrafted component of the end-to-end distance of contacts, for the two anisotropic cases (c and d) shown in Fig. 3. (a) A molecule on the perimeter gets pushed outwards (the center molecule is at x=−7σ). (b) The molecule at the center (x=0)of an incomplete colony tends to occupy the space left by the missing molecule (at x=7σ here). Biophysical Journal 2005 89, 32-42DOI: (10.1529/biophysj.104.051904) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 6 Configuration of a small regular brush made of 13 molecules. The distance between two adjacent molecules is 7σ (i.e., position of No. 1=(0, 0), No. 2=(−3.5σ, 6.056σ), No. 10=(10.5σ, 6.056σ), etc.). The time spent in contact with the primers is 1.6(2)% for the molecule at the center of the colony, 2.5(2)% for the “core” molecules (Nos. 2–7), and 3.4(2)% for the molecules on the perimeter (Nos. 8–13). The average contact distances are 〈h〉=7.3(2) for the central molecule, 〈h〉=8.5(2) for the “core” molecules, and 〈h〉=8.5(2) for the molecules on the perimeter. Biophysical Journal 2005 89, 32-42DOI: (10.1529/biophysj.104.051904) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 7 Average number of molecules in a colony as a function of the number of thermal cycles n for our BD simulations presented in log-log and semi-log (inset) formats. At this early stage, the growth cannot be described by an exponential growth (solid line, inset), as found in solution PCR; it cannot be described by a geometrical growth either (solid line, main graph), as predicted by a simple MC model. Biophysical Journal 2005 89, 32-42DOI: (10.1529/biophysj.104.051904) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 8 Probability pt that the free end of a molecule touches the grafting surface (zfree–end<zmin=2) during one thermal cycle (t=1000τ) as a function of the number of close neighbors Nneib (defined as the number of molecules grafted with the average distance of contact, 〈h〉=8.2σ) for both a colony and a brush. Both simulations used the algorithm described in the sections called Method: Brownian Dynamics Simulations and SPA Modeling, and were left to evolve for n=8 thermal cycles. The difference comes from the periodic boundary conditions (L=20) used to model the brush. In the case of the colony, an infinite plane was used. Both cases are well described by an exponential decay function. For a brush we find the best fit to be pt=0.77e−Nneib/9.64, and for a colony, we find Pt=0.77e−Nneib/16.2. Biophysical Journal 2005 89, 32-42DOI: (10.1529/biophysj.104.051904) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 9 Average number of molecules in a colony as a function of the number of thermal cycles n, for both BD (large open circles) and MC (small solid circles) simulations. The uncertainty is smaller than the size of the circles. In the case of the MC simulations, after a very long transition time, the growth becomes geometric. The solid line has a slope of 2. The MC simulations used a duplication probability of pt=0.77 per cycle, a steric interaction strength parameter of N0=7.1 (see Eq. 7), and the results were averaged over 1000 colonies. Biophysical Journal 2005 89, 32-42DOI: (10.1529/biophysj.104.051904) Copyright © 2005 The Biophysical Society Terms and Conditions