ArticleNature communications2018
An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Fundamental limits incorporating logical reasoning into Shannon's information theory.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Integrating the Contrasting Perspectives Between the Constrained Disorder Principle and Deterministic Optical Nanoscopy: Enhancing Information Extraction from Imaging of Complex Systems.Bioengineering (Basel, Switzerland) · 2026Article
- Quantifying stimulus-response specificity to probe the functional state of macrophages.Cell systems · 2023Article
- Quantifying information of intracellular signaling: progress with machine learning.Reports on progress in physics. Physical Society (Great Britain) · 2022Review
- Article
- RVAgene: generative modeling of gene expression time series data.Bioinformatics (Oxford, England) · 2021Article
- The tyrosine phosphatase SHP2 increases robustness and information transfer within IL-6-induced JAK/STAT signalling.Cell communication and signaling : CCS · 2021Article
- Concepts and Applications of Information Theory to Immuno-Oncology.Trends in cancer · 2021Review
- Quantifying information accumulation encoded in the dynamics of biochemical signaling.Nature communications · 2021Article
- Sensitivity minimization, biological homeostasis and information theory.Biological cybernetics · 2021Review
- Signal Fluctuations and the Information Transmission Rates in Binary Communication Channels.Entropy (Basel, Switzerland) · 2021Article
- Optimal Design of Single-Cell Experiments within Temporally Fluctuating Environments.Complexity · 2020Article
- Information-theoretic analysis of multivariate single-cell signaling responses.PLoS computational biology · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Many components of signaling pathways are functionally pleiotropic, and signaling responses are marked with substantial cell-to-cell heterogeneity. Therefore, biochemical descriptions of signaling require quantitative support to explain how complex stimuli (inputs) are encoded in distinct activities of pathways effectors (outputs). A unique perspective of information theory cannot be fully utilized due to lack of modeling tools that account for the complexity of biochemical signaling, specifically for multiple inputs and outputs. Here, we develop a modeling framework of information theory that allows for efficient analysis of models with multiple inputs and outputs; accounts for temporal dynamics of signaling; enables analysis of how signals flow through shared network components; and is not restricted by limited variability of responses. The framework allows us to explain how identity and quantity of type I and type III interferon variants could be recognized by cells despite activating the same signaling effectors.
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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.