ArticleNature communications2019
On chaotic dynamics in transcription factors and the associated effects in differential gene regulation.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Are physiological oscillations physiological?The Journal of physiology · 2026Review
- Genetic resonance in the p53 signaling network.Cell systems · 2026Article
- FOXM1 Signaling Network Transcriptionally Upregulates Expression of Proteins Involved in Mitotic Progression to Induce High Proliferation and Chromosomal Instability in Androgen Receptor-Low Triple-Negative Breast Cancer.International journal of molecular sciences · 2026Article
- The Homeobox Transcription Factor CUX1 Coordinates Postnatal Epithelial Developmental Timing but Is Dispensable for Lung Organogenesis and Regeneration.American journal of respiratory cell and molecular biology · 2025Article
- The ability of ozone to counteract multidrug-resistant bacteria if used as an adjunct therapy: a bioinformatic modelling.Journal of medical microbiology · 2025Article
- Article
- Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks.Interdisciplinary sciences, computational life sciences · 2025Article
- Article
- Entrainment and multi-stability of the p53 oscillator in human cells.Cell systems · 2024Article
- Predicting bacterial transcription factor binding sites through machine learning and structural characterization based on DNA duplex stability.Briefings in bioinformatics · 2024Article
- From resonance to chaos by modulating spatiotemporal patterns through a synthetic optogenetic oscillator.Nature communications · 2024Article
- Synthetic gene circuit evolution: Insights and opportunities at the mid-scale.Cell chemical biology · 2024Review
- Cellular heterogeneity in TNF/TNFR1 signalling: live cell imaging of cell fate decisions in single cells.Cell death & disease · 2024Review
- Chaos in a bacterial stress response.Current biology : CB · 2023Article
- Phenotypic consequences of logarithmic signaling in MAPK stress response.bioRxiv : the preprint server for biology · 2023Article
- Deep-learning-assisted Sort-Seq enables high-throughput profiling of gene expression characteristics with high precision.Science advances · 2023Article
- Robust morphogenesis by chaotic dynamics.Scientific reports · 2023Article
- Embracing complexity in sepsis.Critical care (London, England) · 2023Review
- NF-kB in Signaling Patterns and Its Temporal Dynamics Encode/Decode Human Diseases.Life (Basel, Switzerland) · 2022Review
- Network design principle for robust oscillatory behaviors with respect to biological noise.eLife · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The control of proteins by a transcription factor with periodically varying concentration exhibits intriguing dynamical behaviour. Even though it is accepted that transcription factors vary their dynamics in response to different situations, insight into how this affects downstream genes is lacking. Here, we investigate how oscillations and chaotic dynamics in the transcription factor NF-κB can affect downstream protein production. We describe how it is possible to control the effective dynamics of the transcription factor by stimulating it with an oscillating ligand. We find that chaotic dynamics modulates gene expression and up-regulates certain families of low-affinity genes, even in the presence of extrinsic and intrinsic noise. Furthermore, this leads to an increase in the production of protein complexes and the efficiency of their assembly. Finally, we show how chaotic dynamics creates a heterogeneous population of cell states, and describe how this can be beneficial in multi-toxic environments.
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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.