ArticleACS synthetic biology2013
Genetic sensor for strong methylating compounds.
Article in ACS synthetic biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 32 citations in OpenAlex.
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- Accelerating Genetic Sensor Development, Scale-up, and Deployment Using Synthetic Biology.Biodesign research · 2024Article
- Engineering of Synthetic Transcriptional Switches in Yeast.Life (Basel, Switzerland) · 2022Review
- Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :... · 2020Article
- Engineering transcription factor-based biosensors for repressive regulation through transcriptional deactivation design in Saccharomyces cerevisiae.Microbial cell factories · 2020Article
- Translating New Synthetic Biology Advances for Biosensing Into the Earth and Environmental Sciences.Frontiers in microbiology · 2020Review
- Engineering metabolite-responsive transcriptional factors to sense small molecules in eukaryotes: current state and perspectives.Microbial cell factories · 2019Review
- Coupling of Human Rhodopsin to a Yeast Signaling Pathway Enables Characterization of Mutations Associated with Retinal Disease.Genetics · 2019Article
- Dynamic control of endogenous metabolism with combinatorial logic circuits.Molecular systems biology · 2018Article
- Tracking yeast pheromone receptor Ste2 endocytosis using fluorogen-activating protein tagging.Molecular biology of the cell · 2018Article
- Lighting up yeast cell factories by transcription factor-based biosensors.FEMS yeast research · 2017Article
- Microbially derived biosensors for diagnosis, monitoring and epidemiology.Microbial biotechnology · 2017Review
- Synthetic biology expands chemical control of microorganisms.Current opinion in chemical biology · 2015Review
- Synthetic biosensors for precise gene control and real-time monitoring of metabolites.Nucleic acids research · 2015Article
- Amplification of small molecule-inducible gene expression via tuning of intracellular receptor densities.Nucleic acids research · 2015Article
- Puzzle Imaging: Using Large-Scale Dimensionality Reduction Algorithms for Localization.PloS one · 2015Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Methylating chemicals are common in industry and agriculture and are often toxic, partly due to their propensity to methylate DNA. The Escherichia coli Ada protein detects methylating compounds by sensing aberrant methyl adducts on the phosphoester backbone of DNA. We characterize this system as a genetic sensor and engineer it to lower the detection threshold. By overexpressing Ada from a plasmid, we improve the sensor’s dynamic range to 350-fold induction and lower its detection threshold to 40 μM for methyl iodide. In eukaryotes, there is no known sensor of methyl adducts on the phosphoester backbone of DNA. By fusing the N-terminal domain of Ada to the Gal4 transcriptional activation domain, we built a functional sensor for methyl phosphotriester adducts in Saccharomyces cerevisiae. This sensor can be tuned to variable specifications by altering the expression level of the chimeric sensor and changing the number of Ada operators upstream of the Gal4-sensitive reporter promoter. These changes result in a detection threshold of 28 μM and 5.2-fold induction in response to methyl iodide. When the yeast sensor is exposed to different SN1 and SN2 alkylating compounds, its response profile is similar to that observed for the native Ada protein in E. coli, indicating that its native function is retained in yeast. Finally, we demonstrate that the specifications achieved for the yeast sensor are suitable for detecting methylating compounds at relevant concentrations in environmental samples. This work demonstrates the movement of a sensor from a prokaryotic to eukaryotic system and its rational tuning to achieve desired specifications.
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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.