Evidence map›Paper›PMID 41279103›Full record

ArticlebioRxiv : the preprint server for biology2025

Engineered orthogonal translation systems from metagenomic libraries expand the genetic code.

Kosuke Seki, Michael T A Nguyen, Petar I Penev, Jillian F Banfield, Farren J Isaacs, Michael C Jewett

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Kosuke SekiDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA.ORCID 0000-0002-0413-8184
Michael T A NguyenDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, USA.ORCID 0000-0003-3857-0327
Petar I PenevEarth and Planetary Science, University of California, Berkeley, CA, USA.ORCID 0000-0002-9027-3824
Jillian F BanfieldEarth and Planetary Science, University of California, Berkeley, CA, USA.ORCID 0000-0001-8203-8771
Farren J IsaacsDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, USA.ORCID 0000-0001-8615-8236
Michael C JewettDepartment of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA.ORCID 0000-0003-2948-6211

Funding

Population Genomic Analysis of Gut Microbial Colonization in Premature InfantsR01AI092531 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI Jillian Banfield, Michael Morowitz · 2011 to 2026
$11.3M
6500 QTrap Mass Spectrometer for Yale UniversityS10OD018034 · OD · YALE UNIVERSITY · PI MANE, SHRIKANT M · 2014 to 2014
$514k
An Ultra-Performance Liquid Chromatography System to Support Metabolomics at Yale UniversityS10OD019967 · OD · YALE UNIVERSITY · PI LAM, TUKIET T · 2015 to 2015
$135k
NIAID NIH HHS R01 AI092531NIH HHS S10 OD018034NIH HHS S10 OD019967
6 · The paper itself

Abstract

Genetic code expansion with non-canonical amino acids (ncAAs) opens new opportunities for the function and design of proteins by broadening their chemical repertoire. Unfortunately, ncAA incorporation is limited both by a small collection of orthogonal aminoacyl-tRNA synthetases (aaRSs) and tRNAs and by low-throughput methods to discover them. Here, we report the discovery, characterization, and engineering of a UGA suppressing orthogonal translation system mined from metagenomic data. We developed an integrated computational and experimental pipeline to profile the orthogonality of >200 tRNAs, test >1,250 combinations of aaRS:tRNA pairs, and identify the AP1 TrpRS:tRNA

Identifiers

PMID41279103
PMCPMC12636597

What OpenQuestion holds

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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.