Information transduction capacity of noisy biochemical signaling networks

By Raymond Cheong, Alex Rhee, C. Wang, Ilya Nemenman, Andre Levchenko. Science, 2011

517 citations recorded by the source corpus.

Noise limits information transfer through a single signaling pathway in a single cell to just one bit. 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.

Subfields: Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/3ed4f745cc4bcddaf3c907234502e76309df4ced

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In Biomedical Engineering

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In Molecular Biology

Citations in the corpus

Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review (2012, background): “In an interesting study on signaling dynamics, Cheong et al. (2011) assessed the amount of information transduced by the TNF-related signaling network in the presence of cellular noise.”
Automated adaptive inference of phenomenological dynamical models (2015, unknown): “…complex receptor can be speciﬁed with only a handful of effective parameters, including the dynamic range, cooperativity and time delay 17–19 , and the purpose of microscopic structural complexity can be in making the simple macroscopic functional output robust in the face of…”
Identifying sources of variation and the flow of information in biochemical networks (2012, unknown): “V 1⁄2Zt$ 1⁄4 1 2 E1⁄2ðZt −Z 0 jtÞ(2)$ þ Cov1⁄2Zt; Z 0 jt$; [17]”