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Author Notes:

To whom correspondence should be addressed: alev@jhu.edu

The authors thank Alex Hoffmann, Mel Simon, Stanislas Shvartsman, Cellina Cohen-Saidon, and Uri Alon for sharing data and materials; Ambhi Ganesan and Hao Chang for experimental assistance; and Pablo Iglesias, Yan Qi, and Andrew Feinberg for insightful discussions and reviewing drafts of the manuscript.

Subjects:

Research Funding:

This work was supported by the National Institutes of Health (GM072024, R.C., A.R., C.J.W., A.L.), the Medical Scientist Training Program at the Johns Hopkins University (R.C.), and, in early stages of the work, the Los Alamos National Laboratory Directed Research and Development program (I.N.).

Keywords:

  • Science & Technology
  • Multidisciplinary Sciences
  • Science & Technology - Other Topics
  • NF-KAPPA-B
  • STOCHASTIC GENE-EXPRESSION
  • SINGLE-CELL
  • TEMPORAL CONTROL
  • DYNAMICS
  • POPULATION
  • OSCILLATIONS
  • VARIABILITY
  • ACTIVATION
  • ALPHA

Information Transduction Capacity of Noisy Biochemical Signaling Networks

Tools:

Journal Title:

Вестник Волгоградского государственног... / Science Journal of Volgograd State University. History. Area Studies. International Relations

Volume:

Volume 334, Number 6054

Publisher:

, Pages 354-358

Type of Work:

Article | Post-print: After Peer Review

Abstract:

Molecular noise restricts the ability of an individual cell to resolve input signals of different strengths and gather information about the external environment. Transmitting information through complex signaling networks with redundancies can overcome this limitation. We developed an integrative theoretical and experimental framework, based on the formalism of information theory, to quantitatively predict and measure the amount of information transduced by molecular and cellular networks. Analyzing tumor necrosis factor (TNF) signaling revealed that individual TNF signaling pathways transduce information sufficient for accurate binary decisions, and an upstream bottleneck limits the information gained via multiple integrated pathways. Negative feedback to this bottleneck could both alleviate and enhance its limiting effect, despite decreasing noise. Bottlenecks likewise constrain information attained by networks signaling through multiple genes or cells.

Copyright information:

© 2011, American Association for the Advancement of Science

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