Evidence map›Paper›PMID 42312487›Full record

ArticleNucleic acids research2026

Engineered suppressor tRNAs enable precise translational control of genetic circuits in E. coli.

Xiaotong Wang, Jianping Xu, Yipeng Wang, Qingsheng Qi, Zhiguo Wang, Qian Wang

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. 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

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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.

Xiaotong WangNational Glycoengineering Research Center, Shandong University, Qingdao 266237, P. R. China.
Jianping XuNational Glycoengineering Research Center, Shandong University, Qingdao 266237, P. R. China.
Yipeng WangState Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, P. R. China.
Qingsheng QiState Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, P. R. China.ORCID 0000-0001-9015-4561
Zhiguo WangZhejiang Key Laboratory of Medical Epigenetics, Institute of Aging Research, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou 311121, P. R. China.
Qian WangNational Glycoengineering Research Center, Shandong University, Qingdao 266237, P. R. China.ORCID 0000-0003-3135-9385

Funding

National Key Research and Development Program of China 2024YFA0917100National Natural Science Foundation of China 32270089National Natural Science Foundation of China 32570083State Key Laboratory of Microbial Technology SKLMTIJP-2025-03
6 · The paper itself

Abstract

Precise and orthogonal regulation of genetic circuits is a central challenge in synthetic biology, particularly at the translational level where tools remain scarce. Here, we address this by engineering suppressor transfer RNAs (sup-tRNAs) charged with canonical amino acids to enable programmable nonsense mutation readthrough in Escherichia coli. Screening of 20 variants revealed a clear sup-tRNA design rule: readthrough efficiency is dictated by the similarity of the native tRNA anticodon to amber codon (CUA), as it preserves native aaRS interactions. We then demonstrate the power of this tool for advanced genetic circuit engineering. First, in a LacI-based biosensor, sup-tRNA regulation reduced background leakage by >77% and increased the induction dynamic range by 4.3-fold (from 6.67 to 28.68). Second, by dynamically balancing glycolytic flux through targeted pykA and pykF regulation, we increased the titer of N-acetylneuraminic acid by 66% (from 5.33 to 8.82 g/l) without compromising cell growth. Our work establishes engineered cAA-charged sup-tRNAs as a versatile, efficient, and cost-effective platform for precision translational control within genetic circuits, opening new avenues for biosensor optimization and metabolic engineering.

Indexed as

Escherichia coliGene Regulatory NetworksGenetic EngineeringProtein BiosynthesisRNA, TransferCodon, NonsenseEscherichia coli ProteinsGene Expression Regulation, BacterialCodon, NonsenseEscherichia coli ProteinsRNA, Transfer

Identifiers

PMID42312487
PMCPMC13276491

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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.