Information Transduction Capacity of Noisy Biochemical Signaling
Networks
Raymond Cheong1, Alex Rhee1, Chiaochun Joanne Wang1, Ilya Nemenman2,
Andre Levchenko1,*
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.
http://www.sciencemag.org/content/334/6054/354.full
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