ArticleACS synthetic biology2024
Cell-Free Systems Biology: Characterizing Central Metabolism of
Article in ACS synthetic biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Adaptive evolution of electron transfer pathways inJournal of bacteriology · 2026Article
- EngineeringMetabolic engineering communications · 2026Article
- EngineeringbioRxiv : the preprint server for biology · 2025Article
- Parameterization of cell-free systems with time-series data using KETCHUP.PLoS computational biology · 2025Article
- Identification of electron transfer enzymes inJournal of bacteriology · 2025Article
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Authors and funding
4 authors.
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Abstract
Genetic approaches have been traditionally used to understand microbial metabolism, but this process can be slow in nonmodel organisms due to limited genetic tools. An alternative approach is to study metabolism directly in the cell lysate. This avoids the need for genetic tools and is routinely used to study individual enzymatic reactions but is not generally used to study systems-level properties of metabolism. Here we demonstrate a new approach that we call "cell-free systems biology", where we use well-characterized enzymes and multienzyme cascades to serve as sources or sinks of intermediate metabolites. This allows us to isolate subnetworks within metabolism and study their systems-level properties. To demonstrate this, we worked with a three-enzyme cascade reaction that converts pyruvate to 2,3-butanediol. Although it has been previously used in cell-free systems, its pH dependence was not well characterized, limiting its utility as a sink for pyruvate. We showed that improved proton accounting allowed better prediction of pH changes and that active pH control allowed 2,3-butanediol titers of up to 2.1 M (189 g/L) from acetoin and 1.6 M (144 g/L) from pyruvate. The improved proton accounting provided a crucial insight that preventing the escape of CO
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