Abstract
Stochasticity inherent to biochemical reactions (intrinsic noise) and variability in cellular states (extrinsic noise) degrade information transmitted through signaling networks. We analyzed the ability of temporal signal modulation-that is, dynamics-to reduce noise-induced information loss. In the extracellular signal-regulated kinase (ERK), calcium (Ca2+), and nuclear factor kappa-B (NF-kB) pathways, response dynamics resulted in significantly greater information transmission capacities compared to nondynamic responses. Theoretical analysis demonstrated that signaling dynamics has a key role in overcoming extrinsic noise. Experimental measurements of information transmission in the ERK network under varying signal-to-noise levels confirmed our predictions and showed that signaling dynamics mitigate, and can potentially eliminate, extrinsic noise-induced information loss. By curbing the information-degrading effects of cell-to-cell variability, dynamic responses substantially increase the accuracy of bichemical signaling networks.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1370-1373 |
| Number of pages | 4 |
| Journal | Science |
| Volume | 346 |
| Issue number | 6215 |
| DOIs | |
| State | Published - Dec 12 2014 |
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Cite this
Accurate information transmission through dynamic biochemical signaling networks. / Selimkhanov, Jangir; Taylor, Brooks; Yao, Jason; Pilko, Anna; Albeck, John; Hoffmann, Alexander; Tsimring, Lev; Wollman, Roy.
In: Science, Vol. 346, No. 6215, 12.12.2014, p. 1370-1373.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Accurate information transmission through dynamic biochemical signaling networks
AU - Selimkhanov, Jangir
AU - Taylor, Brooks
AU - Yao, Jason
AU - Pilko, Anna
AU - Albeck, John
AU - Hoffmann, Alexander
AU - Tsimring, Lev
AU - Wollman, Roy
PY - 2014/12/12
Y1 - 2014/12/12
N2 - Stochasticity inherent to biochemical reactions (intrinsic noise) and variability in cellular states (extrinsic noise) degrade information transmitted through signaling networks. We analyzed the ability of temporal signal modulation-that is, dynamics-to reduce noise-induced information loss. In the extracellular signal-regulated kinase (ERK), calcium (Ca2+), and nuclear factor kappa-B (NF-kB) pathways, response dynamics resulted in significantly greater information transmission capacities compared to nondynamic responses. Theoretical analysis demonstrated that signaling dynamics has a key role in overcoming extrinsic noise. Experimental measurements of information transmission in the ERK network under varying signal-to-noise levels confirmed our predictions and showed that signaling dynamics mitigate, and can potentially eliminate, extrinsic noise-induced information loss. By curbing the information-degrading effects of cell-to-cell variability, dynamic responses substantially increase the accuracy of bichemical signaling networks.
AB - Stochasticity inherent to biochemical reactions (intrinsic noise) and variability in cellular states (extrinsic noise) degrade information transmitted through signaling networks. We analyzed the ability of temporal signal modulation-that is, dynamics-to reduce noise-induced information loss. In the extracellular signal-regulated kinase (ERK), calcium (Ca2+), and nuclear factor kappa-B (NF-kB) pathways, response dynamics resulted in significantly greater information transmission capacities compared to nondynamic responses. Theoretical analysis demonstrated that signaling dynamics has a key role in overcoming extrinsic noise. Experimental measurements of information transmission in the ERK network under varying signal-to-noise levels confirmed our predictions and showed that signaling dynamics mitigate, and can potentially eliminate, extrinsic noise-induced information loss. By curbing the information-degrading effects of cell-to-cell variability, dynamic responses substantially increase the accuracy of bichemical signaling networks.
UR - http://www.scopus.com/inward/record.url?scp=84918571678&partnerID=8YFLogxK
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U2 - 10.1126/science.1254933
DO - 10.1126/science.1254933
M3 - Article
VL - 346
SP - 1370
EP - 1373
JO - Science
JF - Science
SN - 0036-8075
IS - 6215
ER -