ArticleiScience2021
Gene regulatory networks exhibit several kinds of memory: quantification of memory in biological and random transcriptional networks.
Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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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Who cites it
33 citing papers in PubMed.
- Modeling of gene regulatory networks: an annotated glossary.Trends in plant science · 2026Review
- Reductionism in Engram Neuroscience.The European journal of neuroscience · 2026Review
- Mind Everywhere: A Framework for Conceptualizing Goal-Directedness in Biology and Other Domains-Part Two.Biological theory · 2026Article
- Precautionary Principle and Post-Mortem Brain Resuscitation.Neuroethics · 2025Article
- Information and fitness in two-state systems: self-replicating individuals in a fluctuating environment.ArXiv · 2025Article
- Associative conditioning in gene regulatory network models increases integrative causal emergence.Communications biology · 2025Article
- Harnessing the analog computing power of regulatory networks with the Regulatory Network Machine.iScience · 2025Article
- Unlocking Cellular Memory and Gene Regulatory Networks: Pioneering the Future of Therapeutic Innovations.Cells · 2025Article
- Basal Xenobot transcriptomics reveals changes and novel control modality in cells freed from organismal influence.Communications biology · 2025Article
- The Multiscale Wisdom of the Body: Collective Intelligence as a Tractable Interface for Next-Generation Biomedicine.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025Review
- Uncertainty minimization and pattern recognition inJournal of the Royal Society, Interface · 2025Article
- AI-driven automated discovery tools reveal diverse behavioral competencies of biological networks.eLife · 2025Article
- Open problems in synthetic multicellularity.NPJ systems biology and applications · 2024Article
- Evolutionary Implications of Self-Assembling Cybernetic Materials with Collective Problem-Solving Intelligence at Multiple Scales.Entropy (Basel, Switzerland) · 2024Article
- The energetics of cellular life transitions.Life metabolism · 2024Article
- Self-Improvising Memory: A Perspective on Memories as Agential, Dynamically Reinterpreting Cognitive Glue.Entropy (Basel, Switzerland) · 2024Article
- Collective intelligence: A unifying concept for integrating biology across scales and substrates.Communications biology · 2024Review
- Principled Limitations on Self-Representation for Generic Physical Systems.Entropy (Basel, Switzerland) · 2024Article
- Bioelectric networks: the cognitive glue enabling evolutionary scaling from physiology to mind.Animal cognition · 2023Review
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene regulatory networks (GRNs) process important information in developmental biology and biomedicine. A key knowledge gap concerns how their responses change over time. Hypothesizing long-term changes of dynamics induced by transient prior events, we created a computational framework for defining and identifying diverse types of memory in candidate GRNs. We show that GRNs from a wide range of model systems are predicted to possess several types of memory, including Pavlovian conditioning. Associative memory offers an alternative strategy for the biomedical use of powerful drugs with undesirable side effects, and a novel approach to understanding the variability and time-dependent changes of drug action. We find evidence of natural selection favoring GRN memory. Vertebrate GRNs overall exhibit more memory than invertebrate GRNs, and memory is most prevalent in differentiated metazoan cell networks compared with undifferentiated cells. Timed stimuli are a powerful alternative for biomedical control of complex
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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.