ArticleSynthetic biology (Oxford, England)2019
Rapid generation of sequence-diverse terminator libraries and their parameterization using quantitative Term-Seq.
Article in Synthetic biology (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- Regulatory significance of terminator: A systematic approach for dissecting terminator-mediated enhancement of upstream mRNA stability.Synthetic and systems biotechnology · 2025Article
- Sourcing Phage-Encoded Terminators Using ONT-cappable-seq for SynBio Applications inACS synthetic biology · 2023Article
- An optogenetic toolkit for light-inducible antibiotic resistance.Nature communications · 2023Article
- Sequence and thermodynamic characteristics of terminators revealed by FlowSeq and the discrimination of terminators strength.Synthetic and systems biotechnology · 2022Article
- Inverse folding based pre-training for the reliable identification of intrinsic transcription terminators.PLoS computational biology · 2022Article
- Synthetic 3'-UTR valves for optimal metabolic flux control in Escherichia coli.Nucleic acids research · 2022Article
- Massively parallel characterization of engineered transcript isoforms using direct RNA sequencing.Nature communications · 2022Article
- Aberrant splicing events caused by insertion of genes of interest into expression vectors.International journal of biological sciences · 2022Article
- Development and Application of Transcription Terminators for Polyhydroxylkanoates Production in HalophilicFrontiers in microbiology · 2022Article
- Quantitative Control for Stoichiometric Protein Synthesis.Annual review of microbiology · 2021Article
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2 authors at 1 institution in 1 country.
Funding
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Abstract
Synthetic biology and the rational design and construction of biological devices require vast numbers of characterized biological parts, as well as reliable design tools to build increasingly complex, multigene architectures. Design principles for intrinsic terminators have been established; however, additional sequence-structure studies are needed to refine parameters for termination-based genetic devices. We report a rapid single-pot method to generate libraries of thousands of randomized bidirectional intrinsic terminators and a modified quantitative Term-Seq (qTerm-Seq) method to simultaneously identify terminator sequences and measure their termination efficiencies (TEs). Using qTerm-Seq, we characterize hundreds of additional strong terminators (TE > 90%) with some terminators reducing transcription read-through by up to 1000-fold in
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