ArticleJournal of the Royal Society, Interface2015
Information processing by simple molecular motifs and susceptibility to noise.
Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Pre-symptomatic Parkinson's disease blood test quantifying repetitive sequence motifs in transfer RNA fragments.Nature aging · 2025Article
- Network regulation meets substrate modification chemistry.Journal of the Royal Society, Interface · 2023Article
- Molecular Origins of Transcriptional Heterogeneity in Diazotrophic Klebsiella oxytoca.mSystems · 2022Article
- scGENA: A Single-Cell Gene Coexpression Network Analysis Framework for Clustering Cell Types and Revealing Biological Mechanisms.Bioengineering (Basel, Switzerland) · 2022Article
- D3GRN: a data driven dynamic network construction method to infer gene regulatory networks.BMC genomics · 2019Article
- On Information Extraction and Decoding Mechanisms Improved by Noisy Amplification in Signaling Pathways.Scientific reports · 2019Article
- Exploring the information transmission properties of noise-induced dynamics: application to glioma differentiation.BMC bioinformatics · 2019Article
- 'Molecular habituation' as a potential mechanism of gradual homeostatic loss with age.Mechanisms of ageing and development · 2018Article
- Gene Regulatory Network Inference from Single-Cell Data Using Multivariate Information Measures.Cell systems · 2017Article
- Control mechanisms for stochastic biochemical systems via computation of reachable sets.Royal Society open science · 2017Article
- Article
- Inferring extrinsic noise from single-cell gene expression data using approximate Bayesian computation.BMC systems biology · 2016Article
- Robustness of MEK-ERK Dynamics and Origins of Cell-to-Cell Variability in MAPK Signaling.Cell reports · 2016Article
- Extending the dynamic range of transcription factor action by translational regulation.Physical review. E · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Biological organisms rely on their ability to sense and respond appropriately to their environment. The molecular mechanisms that facilitate these essential processes are however subject to a range of random effects and stochastic processes, which jointly affect the reliability of information transmission between receptors and, for example, the physiological downstream response. Information is mathematically defined in terms of the entropy; and the extent of information flowing across an information channel or signalling system is typically measured by the 'mutual information', or the reduction in the uncertainty about the output once the input signal is known. Here, we quantify how extrinsic and intrinsic noise affects the transmission of simple signals along simple motifs of molecular interaction networks. Even for very simple systems, the effects of the different sources of variability alone and in combination can give rise to bewildering complexity. In particular, extrinsic variability is apt to generate 'apparent' information that can, in extreme cases, mask the actual information that for a single system would flow between the different molecular components making up cellular signalling pathways. We show how this artificial inflation in apparent information arises and how the effects of different types of noise alone and in combination can be understood.
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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.