ArticleMetallomics : integrated biometal science2022
Metalation calculators for E. coli strain JM109 (DE3): aerobic, anaerobic, and hydrogen peroxide exposed cells cultured in LB media.
Article in Metallomics : integrated biometal science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 24 citations in OpenAlex.
- Iron-sulfur cluster biogenesis and regulation of intracellular iron homeostasis in Escherichia coli.Metallomics : integrated biometal science · 2025Review
- Microbial metal physiology: ions to ecosystems.Nature reviews. Microbiology · 2025Review
- A metal-trap tests and refines blueprints to engineer cellular protein metalation with different elements.Nature communications · 2025Article
- Changing paradigms for the micronutrient zinc, a known protein cofactor, as a signal relaying also cellular redox state.Quantitative plant biology · 2025Review
- Bacterial Metallostasis: Metal Sensing, Metalloproteome Remodeling, and Metal Trafficking.Chemical reviews · 2024Review
- Microbial Community Structure in the Taklimakan Desert: The Importance of Nutrient Levels in Medium and Culture Methods.Biology · 2024Article
- Metalloproteome plasticity - a factor in bacterial pathogen adaptive responses?Emerging topics in life sciences · 2024Article
- A Pharmacodynamic Study of Aminoglycosides against PathogenicPharmaceuticals (Basel, Switzerland) · 2023Article
- A critical role for iron and zinc homeostatic systems in the evolutionary adaptation ofMicrobial genomics · 2023Article
- Effects of Luteolin-7-O-Glucoside on Intestinal Microbiota Dysbiosis and Drug Resistance Transmission Caused byMicroorganisms · 2023Article
- Moving metals: How microbes deliver metal cofactors to metalloproteins.Molecular microbiology · 2023Article
- The molecular mechanisms of the bacterial iron sensor IdeR.Biochemical Society transactions · 2023Article
- Article
- Protein metalation in a nutshell.FEBS letters · 2023Review
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Three Web-based calculators, and three analogous spreadsheets, have been generated that predict in vivo metal occupancies of proteins based on known metal affinities. The calculations exploit estimates of the availabilities of the labile buffered pools of different metals inside a cell. Here, metal availabilities have been estimated for a strain of Escherichia coli that is commonly used in molecular biology and biochemistry research, e.g. in the production of recombinant proteins. Metal availabilities have been examined for cells grown in Luria-Bertani (LB) medium aerobically, anaerobically, and in response to H2O2 by monitoring the abundance of a selected set of metal-responsive transcripts by quantitative polymerase chain reaction (qPCR). The selected genes are regulated by DNA-binding metal sensors that have been thermodynamically characterized in related bacterial cells enabling gene expression to be read out as a function of intracellular metal availabilities expressed as free energies for forming metal complexes. The calculators compare these values with the free energies for forming complexes with the protein of interest, derived from metal affinities, to estimate how effectively the protein can compete with exchangeable binding sites in the intracellular milieu. The calculators then inter-compete the different metals, limiting total occupancy of the site to a maximum stoichiometry of 1, to output percentage occupancies with each metal. In addition to making these new and conditional calculators available, an original purpose of this article was to provide a tutorial that discusses constraints of this approach and presents ways in which such calculators might be exploited in basic and applied research, and in next-generation manufacturing.
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