T-Cell Activation: A Queuing Theory Analysis at Low Agonist Density

Slides:



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

Jingkui Wang, Marc Lefranc, Quentin Thommen  Biophysical Journal 
Volume 112, Issue 7, Pages (April 2017)
Thomas J. English, Daniel A. Hammer  Biophysical Journal 
Masahiro Ueda, Tatsuo Shibata  Biophysical Journal 
Investigation of Domain Formation in Sphingomyelin/Cholesterol/POPC Mixtures by Fluorescence Resonance Energy Transfer and Monte Carlo Simulations  Monica.
The State Diagram for Cell Adhesion Mediated by Two Receptors
High-Density 3D Single Molecular Analysis Based on Compressed Sensing
Rapid Assembly of a Multimeric Membrane Protein Pore
Volume 103, Issue 9, Pages (November 2012)
A Comprehensive Calorimetric Investigation of an Entropically Driven T Cell Receptor- Peptide/Major Histocompatibility Complex Interaction  Kathryn M.
Regular Gaits and Optimal Velocities for Motor Proteins
Perfect Sampling of the Master Equation for Gene Regulatory Networks
Influence of Chain Length and Unsaturation on Sphingomyelin Bilayers
Volume 96, Issue 1, Pages (January 2009)
Etienne Roux, Marko Marhl  Biophysical Journal 
Joseph M. Johnson, William J. Betz  Biophysical Journal 
Apparent Subdiffusion Inherent to Single Particle Tracking
Arpita Ghosh, Fei Zou, Fred A. Wright 
A Comprehensive Calorimetric Investigation of an Entropically Driven T Cell Receptor- Peptide/Major Histocompatibility Complex Interaction  Kathryn M.
Michail Stamatakis, Nikos V. Mantzaris  Biophysical Journal 
Increasing Sensitivity of Ca2+ Spark Detection in Noisy Images by Application of a Matched-Filter Object Detection Algorithm  Cherrie H.T. Kong, Christian.
Cascade Models of Synaptically Stored Memories
Electrodiffusion Models of Neurons and Extracellular Space Using the Poisson-Nernst- Planck Equations—Numerical Simulation of the Intra- and Extracellular.
Anil K. Dasanna, Christine Lansche, Michael Lanzer, Ulrich S. Schwarz 
Meng Qin, Jian Zhang, Wei Wang  Biophysical Journal 
Michel A. Cuendet, Olivier Michielin  Biophysical Journal 
Bayesian Inference for Improved Single Molecule Fluorescence Tracking
Mesoscale Simulation of Blood Flow in Small Vessels
Qiaochu Li, Stephen J. King, Ajay Gopinathan, Jing Xu 
Volume 92, Issue 7, Pages (April 2007)
Volume 95, Issue 4, Pages (August 2008)
Y. Qiao, P. Galvosas, P.T. Callaghan  Biophysical Journal 
Statistical Prediction and Molecular Dynamics Simulation
Volume 89, Issue 3, Pages (September 2005)
Colocalization of Multiple DNA Loci: A Physical Mechanism
Volume 95, Issue 12, Pages (December 2008)
Testing the Fit of a Quantal Model of Neurotransmission
Volume 86, Issue 6, Pages (June 2004)
Distinct Quantal Features of AMPA and NMDA Synaptic Currents in Hippocampal Neurons: Implication of Glutamate Spillover and Receptor Saturation  Yuri.
Tom E. Williams, Shanmugam Nagarajan, Periasamy Selvaraj, Cheng Zhu 
Eavesdropping on the Social Lives of Ca2+ Sparks
Drift and Behavior of E. coli Cells
Rapid Assembly of a Multimeric Membrane Protein Pore
Volume 96, Issue 5, Pages (March 2009)
Volume 102, Issue 2, Pages (January 2012)
Carlos Mattea, Johan Qvist, Bertil Halle  Biophysical Journal 
Volume 90, Issue 11, Pages (June 2006)
Volume 97, Issue 9, Pages (November 2009)
Michael Schlierf, Felix Berkemeier, Matthias Rief  Biophysical Journal 
Daniel Coombs, Micah Dembo, Carla Wofsy, Byron Goldstein 
M. Müller, K. Katsov, M. Schick  Biophysical Journal 
L. Stirling Churchman, Henrik Flyvbjerg, James A. Spudich 
Satomi Matsuoka, Tatsuo Shibata, Masahiro Ueda  Biophysical Journal 
Robust Driving Forces for Transmembrane Helix Packing
Examining the Influence of Linkers and Tertiary Structure in the Forced Unfolding of Multiple-Repeat Spectrin Molecules  Sterling Paramore, Gregory A.
Volume 86, Issue 3, Pages (March 2004)
Hazen P. Babcock, Chen Chen, Xiaowei Zhuang  Biophysical Journal 
Rinat Nahum-Levy, Dafna Lipinski, Sara Shavit, Morris Benveniste 
Long-Range Nonanomalous Diffusion of Quantum Dot-Labeled Aquaporin-1 Water Channels in the Cell Plasma Membrane  Jonathan M. Crane, A.S. Verkman  Biophysical.
Volume 102, Issue 6, Pages (March 2012)
Rogert Bauer, Rita Carrotta, Christian Rischel, Lars Øgendal 
Yongli Zhang, Junyi Jiao, Aleksander A. Rebane  Biophysical Journal 
Kevin McHale, Andrew J. Berglund, Hideo Mabuchi  Biophysical Journal 
Regular Gaits and Optimal Velocities for Motor Proteins
Brian M. Baynes, Bernhardt L. Trout  Biophysical Journal 
William J. Galush, Jeffrey A. Nye, Jay T. Groves  Biophysical Journal 
Bistability of Cell Adhesion in Shear Flow
George D. Dickinson, Ian Parker  Biophysical Journal 
Volume 106, Issue 8, Pages (April 2014)
Presentation transcript:

T-Cell Activation: A Queuing Theory Analysis at Low Agonist Density J.R. Wedagedera, N.J. Burroughs  Biophysical Journal  Volume 91, Issue 5, Pages 1604-1618 (September 2006) DOI: 10.1529/biophysj.105.066001 Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 1 Schematic for the kinetic proofreading scheme (KPR). Biophysical Journal 2006 91, 1604-1618DOI: (10.1529/biophysj.105.066001) Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 2 Equilibrium TCR surface density (mol μm−2) as a function of agonist numbers M in the interface. Cases shown are koff=0.01, 0.1, 0.4, 0.7, and 1.0s−1, with less downregulation as koff deviates further from the optimal off-rate ≈0.1s−1. Biophysical Journal 2006 91, 1604-1618DOI: (10.1529/biophysj.105.066001) Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 3 Triggering rate λ dependence on agonist density M and KPR scheme length m. (A) Variation in triggering rate λ with koff for various KPR sequence lengths m and M=10 peptide-MHC complexes. (B) Variation in triggering rate λ with koff for various M and length m=7 fixed. (C) Triggering-rate contours λ=1, 2, 3, 5, and 10s−1 in the koff –M plane, showing interdependence between these two parameters. Biophysical Journal 2006 91, 1604-1618DOI: (10.1529/biophysj.105.066001) Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 4 Queue trajectories. Three sample paths for the process T*(t) and the expected trajectory (shaded line) for M=10 and koff=0.1s−1. The equilibrium value ρ of the number of a triggered TCRs is 108. Paths simulated with a Monte Carlo scheme. Biophysical Journal 2006 91, 1604-1618DOI: (10.1529/biophysj.105.066001) Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 5 Specificity. The response peaks around the optimal koff with varying abilities to filter-out nonspecific agonists. (A) Comparison of T-cell activation under threshold conditions of Table 1. Cases are: Calcium (solid), τ=30s, ℙact=0.95, n=1, M=2; Synapse formation (dash), τ=30s, ℙact=0.9, n=7, M=10; Cytotoxicity (dot-dash), τ=10min, ℙact=5/6, n=25, M=3; and Cytokine secretion (dotted), two cases at 10min and 3h, ℙact=0.5, M=100. (B) As panel A but with log-scale. (C) Cytotoxicity signal at 10min showing loss of specificity as M increases. M=3 (solid) and M=10, 20, 30 (dot-dashed, dotted, dashed). In all cases, m=7 for the KPR scheme. Biophysical Journal 2006 91, 1604-1618DOI: (10.1529/biophysj.105.066001) Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 6 Comparison of the immunological synapse (IS) threshold strategy for fixed agonist density M=10 at various time points τ=30s (solid), 10min (dash), and 1h (dot-dash). To compare the response, we set ℙact≈0.9 for each time period under optimal dissociation rate conditions, (koff)opt=0.1s−1. (A) KPR sequence length m=7. For τ=30s, the threshold is n=7. When τ=10min, τ=1h the threshold is raised to n=72 and n=108, respectively. (B) The case m=0, i.e., no intermediate activations, showing reduced specificity with respect to panel A. Biophysical Journal 2006 91, 1604-1618DOI: (10.1529/biophysj.105.066001) Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 7 Sensitivity. Activation probability ℙact as a function of the agonist density M, calcium (Ca), and cytokine secretion (Cy) strategies. A T cell shows a sharp, switchlike behavior in agonist density M, rising sharply over a very narrow range of M. Left set of curves correspond to the calcium threshold, τ=30s, right set to the cytokine secretion threshold at τ=10min (thin) and τ=1h (thick line). The leftmost curve of each group corresponds to koff=0.1s−1 (solid), the middle to 0.2s−1 (dash) and the rightmost one to 0.03s−1 (dot-dash). For the calcium response, the case koff=1s−1 is also shown (dotted); for the cytokine strategy, this is positioned at ∼M=6400. For each threshold, the optimal agonist with koff=0.1s−1 requires the minimal number of agonists to activate. Biophysical Journal 2006 91, 1604-1618DOI: (10.1529/biophysj.105.066001) Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 8 Sensitivity with noise. The expected activation probability with agonist density M, IS, and Cy strategies. The responses when there is no noise in the agonist density are shown in gray (Cy as in Fig. 7) and under a Poisson distribution for pMHC density in black (against mean pMHC density). The cases shown are τ=30s (IS strategy) on far left, τ=10min (thin line) and τ=1h (thick line) for the Cy strategy on right with cases koff=0.1, 0.2, and 0.03s−1 (solid, dashed, dash-dot) as Fig. 7. Biophysical Journal 2006 91, 1604-1618DOI: (10.1529/biophysj.105.066001) Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 9 Dependence of the threshold model on time interval τ (seconds). (A) Calcium (Ca) signal; (B) immunological synapse (IS) signal; (C) cytokine secretion (Cy) signal at τ=10min. Various koff values are shown: koff=0.03 (dot-dash), 0.1 (solid), 0.4 (dashed), 0.6 (dotted), and 1.0 (fine dotted) s−1. Some curves are close to the axis; for panel C, only koff=0.1s−1 is visible. Biophysical Journal 2006 91, 1604-1618DOI: (10.1529/biophysj.105.066001) Copyright © 2006 The Biophysical Society Terms and Conditions

Figure 10 Time-integrated signal E[a(τ)]. (A) E[a(τ)] as a function of agonist number M for various koff: 0.1 (solid), 0.6 (dot-dash), 1.4 (dashed), and 0.01 (dotted) s−1, with τ=1h. (B) E[a(τ)] as a function of koff; various M=10, 20, 100, and 200 with associated standard deviation (error bars) for an integration time window τ=1h. Units of E[a(τ)] are molecule days. Biophysical Journal 2006 91, 1604-1618DOI: (10.1529/biophysj.105.066001) Copyright © 2006 The Biophysical Society Terms and Conditions