ArticlePLoS computational biology2011
Robust signal processing in living cells.
Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Network topology creates independent control of multiple checkpoints in the cell cycle system.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Vertex results for the robust analysis of uncertain biochemical systems.Journal of mathematical biology · 2022Article
- A structural approach to understanding enzymatic regulation of chemical reaction networks.The Biochemical journal · 2022Review
- Ceramide-transfer protein-mediated ceramide transfer is a structurally tunable flow-inducing mechanism with structural feed-forward loops.Royal Society open science · 2018Article
- Mathematical Analysis of the Escherichia coli Chemotaxis Signalling Pathway.Bulletin of mathematical biology · 2018Article
- Assessing the impact of the 4CL enzyme complex on the robustness of monolignol biosynthesis using metabolic pathway analysis.PloS one · 2018Article
- Mechanism of bidirectional thermotaxis ineLife · 2017Article
- Achieving global perfect homeostasis through transporter regulation.PLoS computational biology · 2017Article
- Computing the structural influence matrix for biological systems.Journal of mathematical biology · 2016Article
- BioJazz: in silico evolution of cellular networks with unbounded complexity using rule-based modeling.Nucleic acids research · 2015Article
- How fast-growing bacteria robustly tune their ribosome concentration to approximate growth-rate maximization.The FEBS journal · 2015Article
- Universal response-adaptation relation in bacterial chemotaxis.Journal of bacteriology · 2015Article
- Reciprocal regulation as a source of ultrasensitivity in two-component systems with a bifunctional sensor kinase.PLoS computational biology · 2014Article
- Stochastic analysis of biochemical reaction networks with absolute concentration robustness.Journal of the Royal Society, Interface · 2014Article
- Exponential signaling gain at the receptor level enhances signal-to-noise ratio in bacterial chemotaxis.PloS one · 2014Article
- Robustness analysis of stochastic biochemical systems.PloS one · 2014Article
- Robustness of signal transduction pathways.Cellular and molecular life sciences : CMLS · 2013Review
- Self-organization of signal transduction.F1000Research · 2013Article
- Determinants of cell-to-cell variability in protein kinase signaling.PLoS computational biology · 2013Article
- Image classification of human carcinoma cells using complex wavelet-based covariance descriptors.PloS one · 2013Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cellular signaling networks have evolved an astonishing ability to function reliably and with high fidelity in uncertain environments. A crucial prerequisite for the high precision exhibited by many signaling circuits is their ability to keep the concentrations of active signaling compounds within tightly defined bounds, despite strong stochastic fluctuations in copy numbers and other detrimental influences. Based on a simple mathematical formalism, we identify topological organizing principles that facilitate such robust control of intracellular concentrations in the face of multifarious perturbations. Our framework allows us to judge whether a multiple-input-multiple-output reaction network is robust against large perturbations of network parameters and enables the predictive design of perfectly robust synthetic network architectures. Utilizing the Escherichia coli chemotaxis pathway as a hallmark example, we provide experimental evidence that our framework indeed allows us to unravel the topological organization of robust signaling. We demonstrate that the specific organization of the pathway allows the system to maintain global concentration robustness of the diffusible response regulator CheY with respect to several dominant perturbations. Our framework provides a counterpoint to the hypothesis that cellular function relies on an extensive machinery to fine-tune or control intracellular parameters. Rather, we suggest that for a large class of perturbations, there exists an appropriate topology that renders the network output invariant to the respective perturbations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.