Long-Range Signal Transmission in Autocrine Relays

Slides:



Advertisements
Similar presentations
Michail Stamatakis, Nikos V. Mantzaris  Biophysical Journal 
Advertisements

Marissa A. Wagner, Biree Andemariam, Sanjay A. Desai 
Yinghao Wu, Barry Honig, Avinoam Ben-Shaul  Biophysical Journal 
Volume 112, Issue 7, Pages (April 2017)
Masahiro Ueda, Tatsuo Shibata  Biophysical Journal 
David M. Umulis, Osamu Shimmi, Michael B. O'Connor, Hans G. Othmer 
Volume 104, Issue 8, Pages (April 2013)
Steady-State Differential Dose Response in Biological Systems
Volume 90, Issue 7, Pages (April 2006)
Volume 129, Issue 2, Pages (April 2007)
Precision and Variability in Bacterial Temperature Sensing
Presynaptic Strontium Dynamics and Synaptic Transmission
Bipedal Locomotion in Crawling Cells
Kinetic Analysis of High Affinity Forms of Interleukin (IL)-13 Receptors: Suppression of IL-13 Binding by IL-2 Receptor γ Chain  Vladimir A. Kuznetsov,
Oscillatory Flow Accelerates Autocrine Signaling due to Nonlinear Effect of Convection on Receptor-Related Actions  Marek Nebyla, Michal Přibyl, Igor.
Volume 95, Issue 6, Pages (September 2008)
Light-Dark Cycle Memory in the Mammalian Suprachiasmatic Nucleus
Volume 113, Issue 12, Pages (December 2017)
Volume 105, Issue 2, Pages (July 2013)
Jae Kyoung Kim, Krešimir Josić, Matthew R. Bennett  Biophysical Journal 
Lara Scharrel, Rui Ma, René Schneider, Frank Jülicher, Stefan Diez 
Jordi Soriano, Sten Rüdiger, Pramod Pullarkat, Albrecht Ott 
Dynamical Scenarios for Chromosome Bi-orientation
Marek Nebyla, Michal Přibyl, Igor Schreiber  Biophysical Journal 
Mechanisms of Receptor/Coreceptor-Mediated Entry of Enveloped Viruses
Rigidity Matching between Cells and the Extracellular Matrix Leads to the Stabilization of Cardiac Conduction  Marcel Hörning, Satoru Kidoaki, Takahito.
Michail Stamatakis, Nikos V. Mantzaris  Biophysical Journal 
Kinetics of Membrane Adhesion Mediated by Ligand–Receptor Interaction Studied with a Biomimetic System  Alexei Boulbitch, Zeno Guttenberg, Erich Sackmann 
Anil K. Dasanna, Christine Lansche, Michael Lanzer, Ulrich S. Schwarz 
Volume 98, Issue 11, Pages (June 2010)
Mesoscale Simulation of Blood Flow in Small Vessels
Alex Mogilner, Leah Edelstein-Keshet  Biophysical Journal 
Volume 90, Issue 3, Pages (February 2006)
Kelly E. Caputo, Dooyoung Lee, Michael R. King, Daniel A. Hammer 
A 3-D Model of Ligand Transport in a Deforming Extracellular Space
V. Vetri, G. Ossato, V. Militello, M.A. Digman, M. Leone, E. Gratton 
Dynamic Origin of Spatially Discordant Alternans in Cardiac Tissue
Volume 100, Issue 1, Pages (January 2011)
Metabolic Synchronization by Traveling Waves in Yeast Cell Layers
Critical Timing without a Timer for Embryonic Development
Volume 106, Issue 1, Pages (January 2014)
Florian Hinzpeter, Ulrich Gerland, Filipe Tostevin  Biophysical Journal 
Volume 99, Issue 8, Pages (October 2010)
Volume 105, Issue 1, Pages (July 2013)
Stochastic Pacing Inhibits Spatially Discordant Cardiac Alternans
Volume 102, Issue 2, Pages (January 2012)
Volume 97, Issue 9, Pages (November 2009)
Volume 114, Issue 6, Pages (March 2018)
Signaling from the Living Plasma Membrane
Volume 106, Issue 9, Pages (May 2014)
Theodore R. Rieger, Richard I. Morimoto, Vassily Hatzimanikatis 
Phosphatase Specificity and Pathway Insulation in Signaling Networks
Jong-Chin Lin, D. Thirumalai  Biophysical Journal 
Effects of Receptor Interaction in Bacterial Chemotaxis
Rinat Nahum-Levy, Dafna Lipinski, Sara Shavit, Morris Benveniste 
Volume 80, Issue 6, Pages (June 2001)
Félix Proulx-Giraldeau, Thomas J. Rademaker, Paul François 
Stochastic Pacing Inhibits Spatially Discordant Cardiac Alternans
Steady-State Differential Dose Response in Biological Systems
Christina Ketchum, Heather Miller, Wenxia Song, Arpita Upadhyaya 
Volume 111, Issue 11, Pages (December 2016)
Actin-Myosin Viscoelastic Flow in the Keratocyte Lamellipod
The Mechanism of Phagocytosis: Two Stages of Engulfment
Wenzhe Ma, Chao Tang, Luhua Lai  Biophysical Journal 
Anil K. Dasanna, Christine Lansche, Michael Lanzer, Ulrich S. Schwarz 
Volume 107, Issue 11, Pages (December 2014)
The Sonic Hedgehog Signaling System as a Bistable Genetic Switch
Bistability of Cell Adhesion in Shear Flow
Volume 108, Issue 4, Pages (February 2015)
Kinetic Analysis of High Affinity Forms of Interleukin (IL)-13 Receptors: Suppression of IL-13 Binding by IL-2 Receptor γ Chain  Vladimir A. Kuznetsov,
Presentation transcript:

Long-Range Signal Transmission in Autocrine Relays Michal Přibyl, Cyrill B. Muratov, Stanislav Y. Shvartsman  Biophysical Journal  Volume 84, Issue 2, Pages 883-896 (February 2003) DOI: 10.1016/S0006-3495(03)74906-6 Copyright © 2003 The Biophysical Society Terms and Conditions

Figure 1 Positive feedback in autocrine systems. (A) Positive feedback relying on transcription. Intracellular signaling activated by autocrine ligands induces and maintains the transcription of the ligand-releasing enzyme. (B) The feedback is mediated by the activation of the ligand-releasing enzyme. (C) The geometry of cell communication in the model of an autocrine relay. Ligand is diffusing in extracellular medium above the cellular layer. (D) Receptor-mediated processes in the model: ligand release, extracellular transport, reversible binding, and endocytosis. D, ligand diffusivity; kon, ligand-receptor association constant; koff, complex dissociation constant; and kec, ligand-induced internalization rate constant. Biophysical Journal 2003 84, 883-896DOI: (10.1016/S0006-3495(03)74906-6) Copyright © 2003 The Biophysical Society Terms and Conditions

Figure 2 (A) Graphical solution of Equation 14, where σ(c) is chosen to be a Hill function σ(c)=cn/(kn+cn). (B) The case of the Heaviside nonlinearity: σ(c)=H(c-c0). No ligand is released in the “off” steady state. Autocrine loop is activated in the “on” steady state. Biophysical Journal 2003 84, 883-896DOI: (10.1016/S0006-3495(03)74906-6) Copyright © 2003 The Biophysical Society Terms and Conditions

Figure 3 A traveling front in the ligand-limited regime with fast binding and sharp nonlinearity of protease activation (see Appendix A). (A) and (B) present the profiles of the extracellular ligand and ligand-releasing protease, respectively. The arrows denote the direction of wave's motion. The value of the dimensionless velocity is v=1.967; the threshold in the Heaviside function, c0=0.25. Other dimensionless model parameters are α=55.36, β=0.5, τs=5.439×10−4 (based on kon=1×102μM−1 min−1, R0 is based on 5×104 receptors/cell surface area (25μm2), kec=0.1min−1, koff=0.1min−1, D=1×10−10 m2 s−1, kp=0.01min−1, h=1×103μm). Biophysical Journal 2003 84, 883-896DOI: (10.1016/S0006-3495(03)74906-6) Copyright © 2003 The Biophysical Society Terms and Conditions

Figure 4 Dependence of the dimensional front speed on the kinetic and transport parameters in the ligand-limited regime with fast binding and sharp nonlinearity of protease activation (see Appendix A). (A) Dependence on the rate of forward binding on the forward-binding rate constant, konR0, ligand-induced internalization rate constant kec and complex dissociation constant koff. The dark red area corresponds to the maximal value of the velocity (v ≈ 4×10−2μm s−1). Conversely, the dark blue area denotes the minimal value of the velocity (V ≈ 4×10−4μm s−1). The threshold in the Heaviside function c0=0.25. Other model parameters are h=1×103μm, D=1×10−10 m2 s−1, kp=0.01min−1. (B) A one-dimensional cut (kec/(kec+koff)=0.5) through the two-parameter plot in (A). The arrows indicate that increasing the ratio kec/(kec+koff) shifts the velocity maximum to a lower value of konR0. Biophysical Journal 2003 84, 883-896DOI: (10.1016/S0006-3495(03)74906-6) Copyright © 2003 The Biophysical Society Terms and Conditions

Figure 5 Dependence of the wave propagation velocity on the ratio of the geometric length scale h and the dynamic length scale Lx in the ligand-limited regime with fast binding and sharp nonlinearity of protease activation (see Appendix A). The relationship between the dimensional (V) and the dimensionless (v) velocity is given by V=vLxkp. (A) Dependence of the dimensionless velocity on the ratio h/Lx computed for several thresholds c0 in the Heaviside function. The propagation velocity increases with the ratio until log10(h/Lx) ≫ 1. Above this value, the velocity does not depend on this geometric parameter. The parameters are β=0.5, τs=5.439×10−4 (based on kon=1×102μM−1 min−1, R0 is based on 5×104 receptors/cell surface area (25μm2), kec=0.1min−1, koff=0.1min−1, D=1×10−10 m2 s−1, kp=0.01min−1). (B) Color maps of the distributions s(ζ, η) of the ligand in a traveling wave in both horizontal and vertical directions, with c0=0.25. The spatial distributions of the ligand correspond to the filled circles in (A). The profiles were computed for log10(h/Lx)=−1, 0, 1, and 2. The dark/bright regions correspond to the on/off steady states (s=1, s=0), respectively. Biophysical Journal 2003 84, 883-896DOI: (10.1016/S0006-3495(03)74906-6) Copyright © 2003 The Biophysical Society Terms and Conditions

Figure 6 Numerical analysis of the full model. (A) and (B) Ligand and protease distributions computed across the front. The ligand release function is modeled by a Hill function σ(c)=cn/(kn+cn), with k=0.25 and n=5. Other parameters are α=1, β=0.5, γ=0.2, τc=0.1, τs=3.334, and τr=2 (based on kon=1.807μM−1 min−1, R0=Qr/ker is based on 5×104 receptors/cell surface area (Qr=500 receptors/cell surface/min, ker=0.01min−1, cell surface area 25μm2), kec=0.1min−1, koff=0.1min−1, D=1×10−10 m2 s−1, kp=0.02min−1, h=1×103μm, Ql=grgp/kp=50 ligand molecules/cell surface/min). (C) The wave velocity was computed from the linear part of the dependence of the front position on time. (D) Dependence of the wave propagation velocity on the ligand-receptor affinity konR0. The points are the results of the numerical analysis; the curve is drawn to guide the eye. The values of the parameters of the Hill nonlinearity and the other dimensional model parameters (except kon and R0) are the same as in (A) and (B). Biophysical Journal 2003 84, 883-896DOI: (10.1016/S0006-3495(03)74906-6) Copyright © 2003 The Biophysical Society Terms and Conditions

Figure 7 Interaction of fronts with heterogeneities in the cellular layer. (A) The heterogeneities can both accelerate and slow down the fronts. The parameter Δx shows an extent of the heterogeneity. (B and D) The location of the front as a function of time in an intact (solid line) and damaged layer (broken line). (B) The case of low binding rate, konR0=0.1μms−1 (based on kon=1.807μM−1min−1). The extent of the damaged tissue is Δx/Lx=2.5. The values of the parameters of the Hill nonlinearity and the other model parameters are the same as in Fig. 6, A and B. (C) An increase of the heterogeneity extent stops the traveling front. It happens for Δx/Lx ∼6.5 in the case of the low binding rate; see (B). (D) The case of high ligand-receptor affinity konR0=10μms−1 (based on kon=1.807×102μM−1min−1). The extent of the damaged tissue is Δx/Lx=10. Other parameters are as in Fig. 6, A and B. Biophysical Journal 2003 84, 883-896DOI: (10.1016/S0006-3495(03)74906-6) Copyright © 2003 The Biophysical Society Terms and Conditions

Figure 8 Robustness of traveling fronts with respect to several modifications in the model. The relationship between the dimensional (V) and the dimensionless (v) velocity is given by V=vLxkp. (A) Dimensionless velocity monotonically decreases with growing value of the Hill coefficient n in the sigmoidal nonlinearity. For n=2, the difference between dimensionless velocity of the full model and the velocity of the simplified model with sharp nonlinearity of protease activation in the ligand-limited regime (n → +∞, τc → 0, γ → 0) is ∼25%. For n=5, the difference is only ∼4%. (B) Velocity of wave propagation monotonically decreases with increasing time delay in the sigmoidal nonlinearity of protease activation. Dimensionless time delay τD is plotted with units 1/kp (when kp=0.01min−1). The figure means that the wave propagation will not stop for the time delay 500min and less. (C) Increase of the relative time scale of ligand-receptor complex processes τc slows down the front. The other dimensionless model parameters and parameters of Hill nonlinearity in the studies (A) and (C) were kept at the same values as in Fig. 6, A and B; in the study, (B) used the same values as in Fig. 5 A, and α=0.1. Biophysical Journal 2003 84, 883-896DOI: (10.1016/S0006-3495(03)74906-6) Copyright © 2003 The Biophysical Society Terms and Conditions