ArticleNature communications2023
Dynamic fluctuations in a bacterial metabolic network.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Metabolic Supercharging: Active Learning Strategies for Increasing Student Engagement With Metabolism.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular BiologyPooled it
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- Dynamic Constrained Allocation Flux Balance Analysis (dCAFBA).Methods in molecular biology (Clifton, N.J.) · 2026Article
- Molecular mechanism of gallium nitrate in inhibiting bacterial biofilm formation through pykF modulation.PloS one · 2026Article
- Intracellularly coupled oscillators for synthetic biology.Nature communications · 2025Review
- Topological criterion for robust perfect adaptation of reaction fluxes in biological networks.iScience · 2025Article
- Translating weighted probabilistic bits to synthetic genetic circuits.The plant genome · 2025Article
- Metabolic control analysis enabled the improvement of the L-cysteine production process with Escherichia coli.Applied microbiology and biotechnology · 2024Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The operation of the central metabolism is typically assumed to be deterministic, but dynamics and high connectivity of the metabolic network make it potentially prone to generating fluctuations. However, time-resolved measurements of metabolite levels in individual cells that are required to characterize such fluctuations remained a challenge, particularly in small bacterial cells. Here we use single-cell metabolite measurements based on Förster resonance energy transfer, combined with computer simulations, to explore the real-time dynamics of the metabolic network of Escherichia coli. We observe that steplike exposure of starved E. coli to glycolytic carbon sources elicits large periodic fluctuations in the intracellular concentration of pyruvate in individual cells. These fluctuations are consistent with predicted oscillatory dynamics of E. coli metabolic network, and they are primarily controlled by biochemical reactions around the pyruvate node. Our results further indicate that fluctuations in glycolysis propagate to other cellular processes, possibly leading to temporal heterogeneity of cellular states within a population.
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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 Socratic graph.