ArticleNature communications2025
Computation-aided designs enable developing auxotrophic metabolic sensors for wide-range glyoxylate and glycolate detection.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Systems engineering of engineered live biotherapeutics: A discovery-to-translation framework for streamlining microbiome therapeutic development.Journal of controlled release : official journal of the Controlled Release Society · 2026Review
- Sustainable production of glutaric acid in microbial cell factories: Current advances and future prospects.Synthetic and systems biotechnology · 2026Review
- Self-Healing Bilayer Hydrogel Solid-State Electrochemical Platform: Time-Resolved In Situ Dynamic Monitoring ofGels (Basel, Switzerland) · 2026Article
- Seven critical challenges in synthetic one-carbon assimilation and their potential solutions.FEMS microbiology reviews · 2025Review
Corrections and comments
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Authors and funding
22 authors.
Funding
Abstract
Auxotrophic metabolic sensors (AMS) are microbial strains modified so that biomass formation correlates with the availability of specific metabolites. These sensors are essential for bioengineering (e.g., in growth-coupled designs) but creating them is often a time-consuming and low-throughput process that can be streamlined by in silico analysis. Here, we present a systematic workflow for designing, implementing, and testing versatile AMS based on Escherichia coli. Glyoxylate, a key metabolite in (synthetic) CO
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Registered trials
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