ArticleNature communications2021
Engineering self-organized criticality in living cells.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 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
15 citing papers in PubMed, 34 citations in OpenAlex.
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- The multiscale self-similarity of the weighted human brain connectome.PLoS computational biology · 2025Article
- Structural determinants of soft memory in recurrent biological networks.Biophysical reviews · 2025Review
- Open problems in synthetic multicellularity.NPJ systems biology and applications · 2024Article
- Information structure of heterogeneous criticality in a fish school.Scientific reports · 2024Article
- Toxin-based screening of C-terminal tags inbioRxiv : the preprint server for biology · 2024Article
- Selectively advantageous instability in biotic and pre-biotic systems and implications for evolution and aging.Frontiers in aging · 2024Review
- Biological Robots: Perspectives on an Emerging Interdisciplinary Field.Soft robotics · 2023Article
- Epigenetic inheritance of gene silencing is maintained by a self-tuning mechanism based on resource competition.Cell systems · 2023Article
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- Bacterial degrons in synthetic circuits.Open biology · 2022Review
- Ecological firewalls for synthetic biology.iScience · 2022Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Complex dynamical fluctuations, from intracellular noise, brain dynamics or computer traffic display bursting dynamics consistent with a critical state between order and disorder. Living close to the critical point has adaptive advantages and it has been conjectured that evolution could select these critical states. Is this the case of living cells? A system can poise itself close to the critical point by means of the so-called self-organized criticality (SOC). In this paper we present an engineered gene network displaying SOC behaviour. This is achieved by exploiting the saturation of the proteolytic degradation machinery in E. coli cells by means of a negative feedback loop that reduces congestion. Our critical motif is built from a two-gene circuit, where SOC can be successfully implemented. The potential implications for both cellular dynamics and behaviour are discussed.
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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.