ArticlePLoS computational biology2019
Information-theoretic analysis of multivariate single-cell signaling responses.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Dynamic heterogeneity in an E. coli stress response regulon mediates gene activation and antimicrobial peptide tolerance.Cell reports · 2026Article
- Macrophage memory emerges from coordinated transcription factor and chromatin dynamics.Cell systems · 2025Article
- Dynamics of positional information in the vertebrate neural tube.Journal of the Royal Society, Interface · 2024Article
- Single-cell stimulus-response gene expression trajectories reveal the stimulus specificities of dynamic responses by single macrophages.Molecular cell · 2024Article
- Information-Theoretic Analysis of a Model of CAR-4-1BB-Mediated NFκB Activation.Bulletin of mathematical biology · 2023Article
- A Role for Bottom-Up Synthetic Cells in the Internet of Bio-Nano Things?Molecules (Basel, Switzerland) · 2023Article
- Proofreading does not result in more reliable ligand discrimination in receptor signaling due to its inherent stochasticity.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- 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
- Single-cell measurement quality in bits.PloS one · 2022Article
- Mapping the dynamic transfer functions of eukaryotic gene regulation.Cell systems · 2021Article
- The tyrosine phosphatase SHP2 increases robustness and information transfer within IL-6-induced JAK/STAT signalling.Cell communication and signaling : CCS · 2021Article
- Fractional response analysis reveals logarithmic cytokine responses in cellular populations.Nature communications · 2021Article
- Six distinct NFκB signaling codons convey discrete information to distinguish stimuli and enable appropriate macrophage responses.Immunity · 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
- Determinants of Ligand Specificity and Functional Plasticity in Type I Interferon Signaling.Frontiers in immunology · 2021Article
- Liuweidihuang Pill Alleviates Inflammation of the Testis via AMPK/SIRT1/NF-Evidence-based complementary and alternative medicine : eCAM · 2020Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mathematical methods of information theory appear to provide a useful language to describe how stimuli are encoded in activities of signaling effectors. Exploring the information-theoretic perspective, however, remains conceptually, experimentally and computationally challenging. Specifically, existing computational tools enable efficient analysis of relatively simple systems, usually with one input and output only. Moreover, their robust and readily applicable implementations are missing. Here, we propose a novel algorithm, SLEMI-statistical learning based estimation of mutual information, to analyze signaling systems with high-dimensional outputs and a large number of input values. Our approach is efficient in terms of computational time as well as sample size needed for accurate estimation. Analysis of the NF-κB single-cell signaling responses to TNF-α reveals that NF-κB signaling dynamics improves discrimination of high concentrations of TNF-α with a relatively modest impact on discrimination of low concentrations. Provided R-package allows the approach to be used by computational biologists with only elementary knowledge of information theory.
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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.