ArticleNature communications2017
The interdependent network of gene regulation and metabolism is robust where it needs to be.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Evaluating the Structural Robustness of Large-Scale Emerging Industry with Blurring Boundaries.Entropy (Basel, Switzerland) · 2022Article
- Network location and clustering of genetic mutations determine chronicity in a stylized model of genetic diseases.Scientific reports · 2022Article
- From Isles of Königsberg to Islets of Langerhans: Examining the Function of the Endocrine Pancreas Through Network Science.Frontiers in endocrinology · 2022Review
- Network approach to understand biological systems: From single to multilayer networks.Journal of biosciences · 2022Article
- Percolation on feature-enriched interconnected systems.Nature communications · 2021Article
- Internetwork connectivity of molecular networks across species of life.Scientific reports · 2021Article
- Comparative Analyses of Gene Co-expression Networks: Implementations and Applications in the Study of Evolution.Frontiers in genetics · 2021Review
- Modeling the Th17 and Tregs Paradigm: Implications for Cancer Immunotherapy.Frontiers in cell and developmental biology · 2021Review
- Robustness and lethality in multilayer biological molecular networks.Nature communications · 2020Article
- Neuroenergetics and "General Intelligence": A Systems Biology Perspective.Journal of Intelligence · 2020Article
- Construction, comparison and evolution of networks in life sciences and other disciplines.Journal of the Royal Society, Interface · 2020Article
- Universal behavior of cascading failures in interdependent networks.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Control of multilayer biological networks and applied to target identification of complex diseases.BMC bioinformatics · 2019Article
- A system-wide network reconstruction of gene regulation and metabolism in Escherichia coli.PLoS computational biology · 2019Article
- Bond percolation in coloured and multiplex networks.Nature communications · 2019Article
- Interaction paths promote module integration and network-level robustness of spliceosome to cascading effects.Scientific reports · 2018Article
- Spontaneous repulsion in the A+B→0 reaction on coupled networks.Physical review. E · 2018Article
- Connectivity and complex systems: learning from a multi-disciplinary perspective.Applied network science · 2018Review
- Feedbacks from the metabolic network to the genetic network reveal regulatory modules in E. coli and B. subtilis.PloS one · 2018Article
- In Silico Prediction of Large-Scale Microbial Production Performance: Constraints for Getting Proper Data-Driven Models.Computational and structural biotechnology journal · 2018Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite being highly interdependent, the major biochemical networks of the living cell-the networks of interacting genes and of metabolic reactions, respectively-have been approached mostly as separate systems so far. Recently, a framework for interdependent networks has emerged in the context of statistical physics. In a first quantitative application of this framework to systems biology, here we study the interdependent network of gene regulation and metabolism for the model organism Escherichia coli in terms of a biologically motivated percolation model. Particularly, we approach the system's conflicting tasks of reacting rapidly to (internal and external) perturbations, while being robust to minor environmental fluctuations. Considering its response to perturbations that are localized with respect to functional criteria, we find the interdependent system to be sensitive to gene regulatory and protein-level perturbations, yet robust against metabolic changes. We expect this approach to be applicable to a range of other interdependent networks.Although networks of interacting genes and metabolic reactions are interdependent, they have largely been treated as separate systems. Here the authors apply a statistical framework for interdependent networks to E. coli, and show that it is sensitive to gene and protein perturbations but robust against metabolic changes.
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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.