Evidence map›Paper›PMID 30247489›Full record

ArticleNature biotechnology2018

Evaluation of 244,000 synthetic sequences reveals design principles to optimize translation in Escherichia coli.

Guillaume Cambray, Joao C Guimaraes, Adam Paul Arkin

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed
12.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

107 citing papers in PubMed, 248 citations in OpenAlex.

  1. Article
  2. Systematic optimization ofEngineering microbiology · 2026
    Review
  3. Approaches for Studying Context Specificity of Translation Inhibitor Action.International journal of molecular sciences · 2026
    Review
  4. Developing the protein quality control system inSynthetic and systems biotechnology · 2026
    Article
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  14. Review
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47 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Guillaume CambrayCalifornia Institute for Quantitative Biosciences, University of California, Berkeley, Berkeley, California, USA.ORCID 0000-0003-0087-2469
Joao C GuimaraesCalifornia Institute for Quantitative Biosciences, University of California, Berkeley, Berkeley, California, USA.ORCID 0000-0002-1664-472X
Adam Paul ArkinDepartment of Bioengineering, University of California, Berkeley, Berkeley, California, USA.ORCID 0000-0002-4999-2931
QB3 · USLawrence Berkeley National Laboratory · US

Funding

Genome Sequencer FLXS10RR029668 · NCRR · UNIVERSITY OF CALIFORNIA BERKELEY · PI NGAI, JOHN J. · 2010 to 2010
$623k
Illumina Sequencer to Facilitate Functional Genomics at BerkeleyS10RR027303 · NCRR · UNIVERSITY OF CALIFORNIA BERKELEY · PI TAYLOR, JOHN W. · 2010 to 2010
$500k
NIH HHS S10RR027303NIH HHS S10RR029668
6 · The paper itself

Abstract

Comparative analyses of natural and mutated sequences have been used to probe mechanisms of gene expression, but small sample sizes may produce biased outcomes. We applied an unbiased design-of-experiments approach to disentangle factors suspected to affect translation efficiency in E. coli. We precisely designed 244,000 DNA sequences implementing 56 replicates of a full factorial design to evaluate nucleotide, secondary structure, codon and amino acid properties in combination. For each sequence, we measured reporter transcript abundance and decay, polysome profiles, protein production and growth rates. Associations between designed sequences properties and these consequent phenotypes were dominated by secondary structures and their interactions within transcripts. We confirmed that transcript structure generally limits translation initiation and demonstrated its physiological cost using an epigenetic assay. Codon composition has a sizable impact on translatability, but only in comparatively rare elongation-limited transcripts. We propose a set of design principles to improve translation efficiency that would benefit from more accurate prediction of secondary structures in vivo.

Indexed as

Protein BiosynthesisDNA, BacterialEscherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialRNA, BacterialDNA, BacterialEscherichia coli ProteinsRNA, Bacterial

Identifiers

PMID30247489
OpenAlexW2892180666

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.