ArticleProtein engineering, design & selection : PEDS2018
Development of novel metabolite-responsive transcription factors via transposon-mediated protein fusion.
Article in Protein engineering, design & selection : PEDS, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 18 citations in OpenAlex.
- Extending dynamic and operational range of the biosensor responding to l-carnitine by directed evolution.Synthetic and systems biotechnology · 2025Article
- Computational design of Periplasmic binding protein biosensors guided by molecular dynamics.PLoS computational biology · 2024Article
- Accelerating Genetic Sensor Development, Scale-up, and Deployment Using Synthetic Biology.Biodesign research · 2024Article
- Rhizopine biosensors for plant-dependent control of bacterial gene expression.Environmental microbiology · 2023Article
- Sensing the future of bio-informational engineering.Nature communications · 2021Review
- A gene signal amplifier platform for monitoring the unfolded protein response.Nature chemical biology · 2020Article
- Targeted insertional mutagenesis libraries for deep domain insertion profiling.Nucleic acids research · 2020Article
- Transcription Factor Engineering for High-Throughput Strain Evolution and Organic Acid Bioproduction: A Review.Frontiers in bioengineering and biotechnology · 2020Review
- Model-guided mechanism discovery and parameter selection for directed evolution.Applied microbiology and biotechnology · 2019Article
- Plant Synthetic Biology: Quantifying the "Known Unknowns" and Discovering the "Unknown Unknowns".Plant physiology · 2019Review
- Converting a Periplasmic Binding Protein into a Synthetic Biosensing Switch through Domain Insertion.BioMed research international · 2019Review
- A Biosensor Strategy for E. coli Based on Ligand-Dependent Stabilization.ACS synthetic biology · 2018Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Naturally evolved metabolite-responsive biosensors enable applications in metabolic engineering, ranging from screening large genetic libraries to dynamically regulating biosynthetic pathways. However, there are many metabolites for which a natural biosensor does not exist. To address this need, we developed a general method for converting metabolite-binding proteins into metabolite-responsive transcription factors-Biosensor Engineering by Random Domain Insertion (BERDI). This approach takes advantage of an in vitro transposon insertion reaction to generate all possible insertions of a DNA-binding domain into a metabolite-binding protein, followed by fluorescence activated cell sorting to isolate functional biosensors. To develop and evaluate the BERDI method, we generated a library of candidate biosensors in which a zinc finger DNA-binding domain was inserted into maltose binding protein, which served as a model well-studied metabolite-binding protein. Library diversity was characterized by several methods, a selection scheme was deployed, and ultimately several distinct and functional maltose-responsive transcriptional biosensors were identified. We hypothesize that the BERDI method comprises a generalizable strategy that may ultimately be applied to convert a wide range of metabolite-binding proteins into novel biosensors for applications in metabolic engineering and synthetic biology.
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Registered trials
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.