Self-Consistent Proteomic Field Theory of Stochastic Gene Switches

Slides:



Advertisements
Similar presentations
Creep Function of a Single Living Cell Nicolas Desprat, Alain Richert, Jacqueline Simeon, Atef Asnacios Biophysical Journal Volume 88, Issue 3, Pages
Advertisements

How Do Thermophilic Proteins and Proteomes Withstand High Temperature? Lucas Sawle, Kingshuk Ghosh Biophysical Journal Volume 101, Issue 1, Pages
Quantitative Characterization of the Large-Scale Association of ErbB1 and ErbB2 by Flow Cytometric Homo-FRET Measurements Ágnes Szabó, Gábor Horváth, János.
Light-Scattering Studies of Protein Solutions: Role of Hydration in Weak Protein-Protein Interactions A. Paliwal, D. Asthagiri, D. Abras, A.M. Lenhoff,
Analysis of Kinetic Intermediates in Single-Particle Dwell-Time Distributions Daniel L. Floyd, Stephen C. Harrison, Antoine M. van Oijen Biophysical Journal.
Counter-Intuitive Stochastic Behavior of Simple Gene Circuits with Negative Feedback Tatiana T. Marquez-Lago, Jörg Stelling Biophysical Journal Volume.
Kinetic Properties of the Cardiac L-Type Ca2+ Channel and Its Role in Myocyte Electrophysiology: A Theoretical Investigation Gregory M. Faber, Jonathan.
Inhibitor Binding Increases the Mechanical Stability of Staphylococcal Nuclease Chien-Chung Wang, Tian-Yow Tsong, Yau-Heiu Hsu, Piotr E. Marszalek Biophysical.
Determination of the Interfacial Water Content in Protein-Protein Complexes from Free Energy Simulations Peter Monecke, Thorsten Borosch, Jürgen Brickmann,
The Dynamics and Mechanics of Endothelial Cell Spreading Cynthia A. Reinhart-King, Micah Dembo, Daniel A. Hammer Biophysical Journal Volume 89, Issue 1,
High-Resolution Waveguide THz Spectroscopy of Biological Molecules N. Laman, S. Sree Harsha, D. Grischkowsky, Joseph S. Melinger Biophysical Journal Volume.
Intrinsic Disorder and Functional Proteomics Predrag Radivojac, Lilia M. Iakoucheva, Christopher J. Oldfield, Zoran Obradovic, Vladimir N. Uversky, A.
Thermal Fluctuations of Red Blood Cell Membrane via a Constant-Area Particle- Dynamics Model Gianluca Marcelli, Kim H. Parker, C. Peter Winlove Biophysical.
Structure of the Alamethicin Pore Reconstructed by X-Ray Diffraction Analysis Shuo Qian, Wangchen Wang, Lin Yang, Huey W. Huang Biophysical Journal Volume.
Domain Registration in Raft-Mimicking Lipid Mixtures Studied Using Polymer-Tethered Lipid Bilayers Sumit Garg, Jürgen Rühe, Karin Lüdtke, Rainer Jordan,
Contrast Inversion in the Epifluorescence of Cholesterol-Phospholipid Monolayers T.M. Okonogi, H.M. McConnell Biophysical Journal Volume 86, Issue 2, Pages.
A Hydrodynamic Model for Hindered Diffusion of Proteins and Micelles in Hydrogels Ronald J. Phillips Biophysical Journal Volume 79, Issue 6, Pages
Spatiotemporal Image Correlation Spectroscopy (STICS) Theory, Verification, and Application to Protein Velocity Mapping in Living CHO Cells Benedict Hebert,
Mesoscale Simulation of Blood Flow in Small Vessels Prosenjit Bagchi Biophysical Journal Volume 92, Issue 6, Pages (March 2007) DOI: /biophysj
Nonresonant Confocal Raman Imaging of DNA and Protein Distribution in Apoptotic Cells N. Uzunbajakava, A. Lenferink, Y. Kraan, E. Volokhina, G. Vrensen,
Mechanical Properties of Spider Dragline Silk: Humidity, Hysteresis, and Relaxation T. Vehoff, A. Glišović, H. Schollmeyer, A. Zippelius, T. Salditt Biophysical.
Agarose-Dextran Gels as Synthetic Analogs of Glomerular Basement Membrane: Water Permeability Jeffrey A. White, William M. Deen Biophysical Journal Volume.
Nonlinear Poisson Equation for Heterogeneous Media Langhua Hu, Guo-Wei Wei Biophysical Journal Volume 103, Issue 4, Pages (August 2012) DOI: /j.bpj
Near-Critical Behavior of Aminoacyl-tRNA Pools in E. coli at Rate-Limiting Supply of Amino Acids Johan Elf, Måns Ehrenberg Biophysical Journal Volume 88,
Different Effects of Trifluoroethanol and Glycerol on the Stability of Tropomyosin Helices and the Head-to-Tail Complex Fernando Corrêa, Chuck S. Farah.
Michail Stamatakis, Nikos V. Mantzaris  Biophysical Journal 
Reaction Coordinates for the Flipping of Genetic Switches
Mehdi Bagheri Hamaneh, Matthias Buck  Biophysical Journal 
Pressure and Temperature Dependence of Growth and Morphology of Escherichia coli: Experiments and Stochastic Model  Pradeep Kumar, Albert Libchaber  Biophysical.
Jingkui Wang, Marc Lefranc, Quentin Thommen  Biophysical Journal 
Invariant Chain Structure and MHC Class II Function
Volume 112, Issue 7, Pages (April 2017)
Spontaneous Synchronization of Coupled Circadian Oscillators
Volume 98, Issue 7, Pages (April 2010)
Λ-Repressor Oligomerization Kinetics at High Concentrations Using Fluorescence Correlation Spectroscopy in Zero-Mode Waveguides  K.T. Samiee, M. Foquet,
Transcription Stochasticity of Complex Gene Regulation Models
Perfect Sampling of the Master Equation for Gene Regulatory Networks
Jing Han, Kristyna Pluhackova, Tsjerk A. Wassenaar, Rainer A. Böckmann 
Kinetics of Genetic Switching into the State of Bacterial Competence
Volume 105, Issue 2, Pages (July 2013)
Jae Kyoung Kim, Krešimir Josić, Matthew R. Bennett  Biophysical Journal 
Phase Transitions in Biological Systems with Many Components
Reversible Phosphorylation Subserves Robust Circadian Rhythms by Creating a Switch in Inactivating the Positive Element  Zhang Cheng, Feng Liu, Xiao-Peng.
Volume 96, Issue 1, Pages (January 2009)
Mechanisms of Receptor/Coreceptor-Mediated Entry of Enveloped Viruses
Christa Trandum, Peter Westh, Kent Jørgensen, Ole G. Mouritsen 
Systems Biophysics of Gene Expression
Michail Stamatakis, Nikos V. Mantzaris  Biophysical Journal 
An Equilibrium Model for the Combined Effect of Macromolecular Crowding and Surface Adsorption on the Formation of Linear Protein Fibrils  Travis Hoppe,
Volume 110, Issue 11, Pages (June 2016)
Mechanistically Consistent Reduced Models of Synthetic Gene Networks
The Complex Kinetics of Protein Folding in Wide Temperature Ranges
Margaret J. Tse, Brian K. Chu, Mahua Roy, Elizabeth L. Read 
Modeling Ca2+ Feedback on a Single Inositol 1,4,5-Trisphosphate Receptor and Its Modulation by Ca2+ Buffers  Jianwei Shuai, John E. Pearson, Ian Parker 
Volume 98, Issue 1, Pages 1-11 (January 2010)
Ivan Coluzza, Daan Frenkel  Biophysical Journal 
Volume 6, Issue 4, Pages e3 (April 2018)
Oriol Canela-Xandri, Francesc Sagués, Javier Buceta 
A Monte Carlo Study of the Self-Assembly of Bacteriorhodopsin
Topography and Mechanical Properties of Single Molecules of Type I Collagen Using Atomic Force Microscopy  Laurent Bozec, Michael Horton  Biophysical.
Jennifer D. Stone, Jennifer R. Cochran, Lawrence J. Stern 
Andrew E. Blanchard, Chen Liao, Ting Lu  Biophysical Journal 
Volume 109, Issue 10, Pages (November 2015)
Effects of Receptor Interaction in Bacterial Chemotaxis
Main Phase Transitions in Supported Lipid Single-Bilayer
Mahendra Kumar Prajapat, Kirti Jain, Supreet Saini  Biophysical Journal 
Ping Liu, Ioannis G. Kevrekidis, Stanislav Y. Shvartsman 
The Sonic Hedgehog Signaling System as a Bistable Genetic Switch
Late-Arriving Signals Contribute Less to Cell-Fate Decisions
The Stochastic Dynamics of Filopodial Growth
Presentation transcript:

Self-Consistent Proteomic Field Theory of Stochastic Gene Switches Aleksandra M. Walczak, Masaki Sasai, Peter G. Wolynes  Biophysical Journal  Volume 88, Issue 2, Pages 828-850 (February 2005) DOI: 10.1529/biophysj.104.050666 Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 1 A schematic representation of the toggle switch. Gene 1 produces proteins of type 1, which repress gene 2; and gene 2 produces proteins of type 2, which repress gene 1. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 2 Phase diagram obtained as an exact solution within the SCPF approximation for the single symmetric switch when repressors bind as dimers with Xeq=1 (A), 100 (B), and 1000 (C). Contour lines mark values of ΔC. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 3 Probability that genes are in the active state (A), the mean number of proteins of each type present in the cell 〈n(i)〉(B), and the mean number of proteins of each type present in the cell if gene i is in the on-state 〈n1(i)〉 (C) as a function of Xad=δXsw for a symmetric switch. Exact solutions of the SCPF approximation equations compared with deterministic kinetic rate equations solutions, for a single symmetric switch, Xeq=1000, ω=0.5. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 4 Evolution of probability distributions for the probability of the gene that will be active (on) after the bifurcation to be on (A) and off (B) and the gene that will be inactive (off) to be on (C) and off (D) as a function of the order parameter Xad for a symmetric switch. The bifurcation occurs at Xad=44, Xeq=1000, ω=0.5. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 5 Probability distributions for the gene to be in the on-state (A) and off-state (B) for a gene in the active state for different values of the adiabaticity parameter ω=0.5, 10, 100. Xeq=100, Xad=δXsw=100. Comparison of probability distributions obtained by exactly solving the steady-state equations in the SCPF approximations with analogous Poissonian distributions (C and D). Symmetric switch, Xad=44, Xeq=1000, ω=0.5. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 6 Nullclines for a symmetric switch, where proteins bind as dimers, when the effective base production rate is g2/(2k)≠0. (A) Dependence on the adiabaticity parameter ω=0.005, 0.05, 0.5, 5, and 50, compared to the deterministic equations solution, g2/(2k)=5. (B) Dependence on g2/(2k)=0.01, 0.1, 0.5, 1.0, 5, 10, and 20, ω=0.5. Xeq=1000. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 7 Probability of genes to be on (A) and mean number of proteins of a given type present in the cell (D) for a symmetric switch with an effective base production rate. Evolution of probability distributions for the probability of the gene that will be active after the bifurcation to be on (B) and off (C) and the gene that will be inactive to be on (E) and off (F) as a function of the order parameter Xad for the same system. The bifurcation occurs at Xad=61, g2/(2k)=5, ω=0.5, Xeq=1000. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 8 Dependence of the probability of genes to be on in an asymmetric switch as a function of increasing parameters of one gene X1ad=δX1sw in the forward (top) and backward (bottom) transition for different values of X2eq: 5, 50, and 500. All other parameters fixed at X1eq=1000,⁡ω1=ω2=0.5, and X2ad=δX2sw=80. Comparison of solutions of deterministic and exact SCPF equations. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 9 Evolution of the probability distributions for the two genes to be active for the forward transition (A and B) and the backward (C and D) as a function of X1ad=δX1sw for X2eq=50 with X1eq=1000,ω1=ω2=0.5; X2ad=δX2sw=80 for an asymmetric switch. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 10 Mean number of proteins of each type present in the cell, according to exact solutions of the SCPF approximation and deterministic kinetic rate equations for an asymmetric switch, with X1eq=1000,ω1=ω2=0.5, X2ad=δX2sw=80, and X2eq=50 and 500 during the forward (A) and backward (B) transitions in an asymmetric switch. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 11 Bifurcation diagrams for an asymmetric switch, presenting X1ad=δX1sw as a function of C1(2) (A–C), and C1(1) (D–F) for different values of the adiabaticity parameter: ω1=ω2 (A,D), ω2, with ω1=0.001=const (B,D), ω1, with ω2=0.001=const (C,F). X1eq=100,⁡X2eq=50, and X2ad=δX2sw=80. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 12 Bifurcation diagrams as a function of X1ad=δX1sw+2g2/(2k) for C1(1), with g2(1)/(2k)=g2(2)/(2k)=5 (A) and C1(2) g2(1)/(2k)=g2(1)/(2k)=0.5 (B) for X2eq=5, 50, and 500. Comparison of exact solutions of the SCPF and deterministic kinetic equations for an asymmetric switch. ω1=ω2=0.5, X1eq=1000, and X2ad=δX2sw=80. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 13 Region of C1(1) hysteresis for an asymmetric switch for the SCPF and deterministic approximations as a function of ω1=ω2, with X2eq=50⁡(A) and X2eq with ω1=ω2=100 (B). X1eq=100,⁡X2ad=δX2sw=80,g2/(2k)=0.5. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 14 (A) Probability of genes in an asymmetric switch to be active when proteins bind as monomers, for different values of X2eq.⁡X2ad=δX2sw=80. Probability distributions for the gene to be in the on-state (B) and off-state (C) for a gene in the active state for different values of the adiabaticity parameter ω=0.5, 5, and 100, when proteins bind as monomers to a symmetric switch. Xad=δXsw=50, Xeq=1000. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 15 Phase diagram for the SCPF approximation for a single symmetric switch to which proteins bind as trimers (A) and tetramers (B), with Xeq=1000. Contour lines mark values of ΔC. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 16 Mean number of proteins in the cell, for each type when proteins bind as trimers (A) and tetramers (D), ω=0.5, 10, symmetric switch. The evolution of the probability distribution for the probability of the gene that will be active and inactive after the bifurcation to be on as a function of Xad for a switch when proteins bind as trimers (B and C) and tetramers (E and F). Xeq=1000, ω=0.5. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 17 Probability that gene i is on when proteins are produced in bursts of N=10 (A) and N=100 (B). Mean number of proteins of each type present in the cell when proteins are produced in bursts of N=10 (C) and N=100 (D). Symmetric switch proteins bind as dimers, Xeq=100, ω=100. Comparison of deterministic and stochastic solutions. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 18 Bifurcation curves as a function of Xad=δXsw, ω=100 for different burst size values N=1, 2, 5, 10, 50, and 100, with Xeq=100 (A) and for proteins produced in bursts of N=100 (B) for different values of Xeq=1, 10, 100, and 1000. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 19 Bifurcation curves for proteins produced separately N=1 (A), in bursts of N=10 (B) and N=100 (C) as a function of Xad=δXsw for different values of the adiabaticity parameter. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 20 The evolution of the probability distribution of the gene that is active after the bifurcation, to be on (A) and off (B) and the gene that is inactive to be on (C) and off (D) as a function of Xad for a switch when proteins are produced in bursts of N=10, Xeq=1000, ω=100. Bifurcation point at Xad=δXsw=35. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 21 Probability that gene i is on when proteins are produced in bursts of N=10 with a basal effective production rate g2/(2k)=0.5 (A) and N=100, with a basal effective production rate g2/(2k)=0.05 (B). Mean number of proteins produced by each gene in the two cases (C and D). Symmetric switch; proteins bind as dimers, Xeq=100, ω=100. Comparison of deterministic and stochastic solutions. Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions

Figure 22 The evolution of the probability distribution of the gene that is on after the bifurcation, to be on for ω=100 (A and B) and ω=0.5 (C) and off (D) as a function of Xad for a switch when proteins are produced in bursts of N=10 with a basal effective production rate g2/(2k)=0.5, Xeq=100. Bifurcation points at Xad=8 (ω=100) and Xad=6 (ω=0.5). Biophysical Journal 2005 88, 828-850DOI: (10.1529/biophysj.104.050666) Copyright © 2005 The Biophysical Society Terms and Conditions