ArticleNature communications2018
Cell-free prediction of protein expression costs for growing cells.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
59 citing papers in PubMed, 118 citations in OpenAlex.
- Active-learning-guided optimization of cell-free systems for genome-wide transcriptomic profiling reveals progressive layers of regulation.Nature communications · 2026Article
- Burden-aware feedback control of microbial consortia.Nature communications · 2026Article
- Autonomous biogenesis of all thirty proteins of the Escherichia coli translation machinery.Nature communications · 2025Article
- Beyond the niche - unlocking the full potential of synthetic riboswitches.Nature communications · 2025Review
- Parameterization of cell-free systems with time-series data using KETCHUP.PLoS computational biology · 2025Article
- AI-directed gene fusing prolongs the evolutionary half-life of synthetic gene circuits.Science advances · 2025Article
- Reconstituting alternative life using the test-bed of cell-free systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Click biology highlights the opportunities from reliable biological reactions.Nature chemical biology · 2025Review
- Gene Expression Depends on the Interplay Among Growth, Resource Biogenesis, and Nutrient Quality.ACS synthetic biology · 2025Article
- Codon usage modulates the relationship between the burden and yield of protein overexpression.Journal of biological engineering · 2025Article
- Cell-Free Systems to Mimic and Expand Metabolism.ACS synthetic biology · 2025Review
- Cell-Free Gene Expression: Methods and Applications.Chemical reviews · 2025Review
- Measuring the burden of hundreds of BioBricks defines an evolutionary limit on constructability in synthetic biology.Nature communications · 2024Article
- Emerging Designs and Applications for Biomembrane Biosensors.Annual review of analytical chemistry (Palo Alto, Calif.) · 2024Review
- Profiling expression strategies for a type III polyketide synthase in a lysate-based, cell-free system.Scientific reports · 2024Article
- Measuring the burden of hundreds of BioBricks defines an evolutionary limit on constructability in synthetic biology.bioRxiv : the preprint server for biology · 2024Article
- Specific codons control cellular resources and fitness.Science advances · 2024Article
- Preparing for the future of precision medicine: synthetic cell drug regulation.Synthetic biology (Oxford, England) · 2024Review
- Plasmid Crosstalk in Cell-Free Expression Systems.ACS synthetic biology · 2023Article
- Engineering activatable promoters for scalable and multi-input CRISPRa/i circuits.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Translating heterologous proteins places significant burden on host cells, consuming expression resources leading to slower cell growth and productivity. Yet predicting the cost of protein production for any given gene is a major challenge, as multiple processes and factors combine to determine translation efficiency. To enable prediction of the cost of gene expression in bacteria, we describe here a standard cell-free lysate assay that provides a relative measure of resource consumption when a protein coding sequence is expressed. These lysate measurements can then be used with a computational model of translation to predict the in vivo burden placed on growing E. coli cells for a variety of proteins of different functions and lengths. Using this approach, we can predict the burden of expressing multigene operons of different designs and differentiate between the fraction of burden related to gene expression compared to action of a metabolic pathway.
Indexed as
Identifiers
What OpenQuestion holds
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.