ArticleACS synthetic biology2016
Molecular Buffers Permit Sensitivity Tuning and Inversion of Riboswitch Signals.
Article in ACS synthetic biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- T7 phage-assisted evolution of riboswitches using error-prone replication and dual selection.Scientific reports · 2024Article
- Development of a Tetracycline-Inducible System for Conditional Gene Expression in Lactococcus lactis and Streptococcus thermophilus.Microbiology spectrum · 2023Article
- Engineering of Synthetic Transcriptional Switches in Yeast.Life (Basel, Switzerland) · 2022Review
- Robust and flexible platform for directed evolution of yeast genetic switches.Nature communications · 2021Article
- A modular steroid-inducible gene expression system for use in rice.BMC plant biology · 2019Article
- Synthetic addiction extends the productive life time of engineeredProceedings of the National Academy of Sciences of the United States of America · 2018Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predictable integration of foreign biological signals and parts remains a key challenge in the systematic engineering of synthetic cellular actuations, and general methods to improve signal transduction and sensitivity are needed. To address this problem we modeled and built a molecular signal buffer network in Saccharomyces cerevisiae inspired by chemical pH buffer systems. The molecular buffer system context-insulates a riboswitch enabling synthetic control of colony formation and modular signal manipulations. The riboswitch signal is relayed to a transcriptional activation domain of a split transcription factor, while interacting DNA-binding domains mediate the transduction of signal and form an interacting molecular buffer. The molecular buffer system enables modular signal inversion through integration with repressor modules. Further, tuning of input sensitivity was achieved through perturbation of the buffer pair ratio guided by a mathematical model. Such buffered signal tuning networks will be useful for domestication of RNA-based sensors enabling tunable outputs and library-wide selections for drug discovery and metabolic engineering.
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