ArticleNature communications2023
Engineering tRNA abundances for synthetic cellular systems.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- Purification of post-transcriptionally modified tRNAs for enhanced cell-free translation systems.Nucleic acids research · 2026Article
- Near-cognate tRNAs dominate codon decoding times in simulated ribosomes.Nucleic acids research · 2025Article
- Continuous in situ synthesis of a complete set of tRNAs sustains steady-state translation in a recombinant cell-free system.Nature communications · 2025Article
- From homogeneity to heterogeneity: Refining stochastic simulations of gene regulation.Computational and structural biotechnology journal · 2025Article
- Engineering tRNA abundances for synthetic cellular systems.Nature communications · 2023Article
- Synthetic biology in Mexico: Brief history, current landscape, and perspectives towards a bio-based economy.Engineering biologyReview
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Routinizing the engineering of synthetic cells requires specifying beforehand how many of each molecule are needed. Physics-based tools for estimating desired molecular abundances in whole-cell synthetic biology are missing. Here, we use a colloidal dynamics simulator to make predictions for how tRNA abundances impact protein synthesis rates. We use rational design and direct RNA synthesis to make 21 synthetic tRNA surrogates from scratch. We use evolutionary algorithms within a computer aided design framework to engineer translation systems predicted to work faster or slower depending on tRNA abundance differences. We build and test the so-specified synthetic systems and find qualitative agreement between expected and observed systems. First principles modeling combined with bottom-up experiments can help molecular-to-cellular scale synthetic biology realize design-build-work frameworks that transcend tinker-and-test.
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Registered trials
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