ArticleNature methods2013
Quantitative estimation of activity and quality for collections of functional genetic elements.
Article in Nature methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.
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Who cites it
91 citing papers in PubMed.
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- A synthetic cell with integrated DNA self-replication and lipid biosynthesis.Nature communications · 2026Article
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- Functional predictability of universal gene circuits in diverse microbial hosts.Quantitative biology (Beijing, China) · 2024Article
- Using design of experiments to guide genetic optimization of engineered metabolic pathways.Journal of industrial microbiology & biotechnology · 2024Review
- Expanding the synthetic biology toolbox of Cupriavidus necator for establishing fatty acid production.Journal of industrial microbiology & biotechnology · 2024Article
- Start codon-associated ribosomal frameshifting mediates nutrient stress adaptation.Nature structural & molecular biology · 2023Article
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- Unigems: plasmids and parts to facilitate teaching on assembly, gene expression control and logic inAccess microbiology · 2023Article
- Massively parallel characterization of engineered transcript isoforms using direct RNA sequencing.Nature communications · 2022Article
- 5'UTR sequences influence protein levels inFrontiers in microbiology · 2022Article
- Automated Design of Robust Genetic Circuits: Structural Variants and Parameter Uncertainty.ACS synthetic biology · 2021Article
- Combinatorial assembly platform enabling engineering of genetically stable metabolic pathways in cyanobacteria.Nucleic acids research · 2021Article
- Biosensor-based isolation of amino acid-producingMetabolic engineering communications · 2021Article
31 more citing papers are in PubMed but not listed here.
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13 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The practice of engineering biology now depends on the ad hoc reuse of genetic elements whose precise activities vary across changing contexts. Methods are lacking for researchers to affordably coordinate the quantification and analysis of part performance across varied environments, as needed to identify, evaluate and improve problematic part types. We developed an easy-to-use analysis of variance (ANOVA) framework for quantifying the performance of genetic elements. For proof of concept, we assembled and analyzed combinations of prokaryotic transcription and translation initiation elements in Escherichia coli. We determined how estimation of part activity relates to the number of unique element combinations tested, and we show how to estimate expected ensemble-wide part activity from just one or two measurements. We propose a new statistic, biomolecular part 'quality', for tracking quantitative variation in part performance across changing contexts.
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