Evidence map›Paper›PMID 28334756›Full record

ArticleNucleic acids research2017

Measurements of translation initiation from all 64 codons in E. coli.

Ariel Hecht, Jeff Glasgow, Paul R Jaschke, Lukmaan A Bawazer, Matthew S Munson, Jennifer R Cochran, Drew Endy, Marc Salit

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

118 citing papers in PubMed, 212 citations in OpenAlex.

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58 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Ariel HechtJoint Initiative for Metrology in Biology, Stanford, CA 94305, USA.
Jeff GlasgowJoint Initiative for Metrology in Biology, Stanford, CA 94305, USA.
Paul R JaschkeDepartment of Bioengineering, Stanford, CA 94305, USA.
Lukmaan A BawazerJoint Initiative for Metrology in Biology, Stanford, CA 94305, USA.
Matthew S MunsonJoint Initiative for Metrology in Biology, Stanford, CA 94305, USA.
Jennifer R CochranJoint Initiative for Metrology in Biology, Stanford, CA 94305, USA.
Drew EndyJoint Initiative for Metrology in Biology, Stanford, CA 94305, USA.
Marc SalitJoint Initiative for Metrology in Biology, Stanford, CA 94305, USA.
National Institute of Standards and Technology · USMacquarie University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our understanding of translation underpins our capacity to engineer living systems. The canonical start codon (AUG) and a few near-cognates (GUG, UUG) are considered as the 'start codons' for translation initiation in Escherichia coli. Translation is typically not thought to initiate from the 61 remaining codons. Here, we quantified translation initiation of green fluorescent protein and nanoluciferase in E. coli from all 64 triplet codons and across a range of DNA copy number. We detected initiation of protein synthesis above measurement background for 47 codons. Translation from non-canonical start codons ranged from 0.007 to 3% relative to translation from AUG. Translation from 17 non-AUG codons exceeded the highest reported rates of non-cognate codon recognition. Translation initiation from non-canonical start codons may contribute to the synthesis of peptides in both natural and synthetic biological systems.

Indexed as

Codon, InitiatorPeptide Chain Initiation, TranslationalCodonEscherichia coliGreen Fluorescent ProteinsLuciferasesPlasmidsCodonCodon, InitiatorGreen Fluorescent ProteinsLuciferases

Identifiers

PMID28334756
PMCPMC5397182
OpenAlexW2953238103

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.