Evidence map›Paper›PMID 40195833›Full record

ReviewJournal of microbiology (Seoul, Korea)2025

Expanding the genetic code: In vivo approaches for incorporating non-proteinogenic monomers.

Dongheon Lee, Suk Min Yun, Jong-Il Choi

Abstract readReview
In one paragraph

Review in Journal of microbiology (Seoul, Korea), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Advancing microbial engineering through synthetic biology.Journal of microbiology (Seoul, Korea) · 2025
    Article
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

3 authors.

Dongheon LeeDepartment of Biotechnology and Bioengineering, Chonnam National University, Gwangju 61186, Republic of Korea.
Suk Min YunNational Institute of Nakdong Basin Biological Resources, Sangju 37242, Republic of Korea.
Jong-Il ChoiDepartment of Biotechnology and Bioengineering, Chonnam National University, Gwangju 61186, Republic of Korea.

Funding

Nakdonggang National Institute of Biological Resources NNIBR20253102
6 · The paper itself

Abstract

The application of genetic code expansion has enabled the incorporation of non-canonical amino acids (ncAAs) into proteins, introducing novel functional groups and significantly broadening the scope of protein engineering. Over the past decade, this approach has extended beyond ncAAs to include non-proteinogenic monomers (npMs), such as β-amino acids and hydroxy acids. In vivo incorporation of these monomers requires maintaining orthogonality between endogenous and engineered aminoacyl-tRNA synthetase (aaRS)/tRNA pairs while optimizing the use of the translational machinery. This review introduces the fundamental principles of genetic code expansion and highlights the development of orthogonal aaRS/tRNA pairs and ribosomal engineering to incorporate npMs. Despite these advancements, challenges remain in engineering aaRS/tRNA pairs to accommodate npMs, especially monomers that differ significantly from L-α-amino acids due to their incompatibility with existing translational machinery. This review also introduces recent methodologies that allow aaRSs to recognize and aminoacylate npMs without reliance on the ribosomal translation system, thereby unlocking new possibilities for synthesizing biopolymers with chemically diverse monomers.

Indexed as

Amino AcidsGenetic CodeProtein EngineeringAmino Acyl-tRNA SynthetasesProtein BiosynthesisRibosomesRNA, TransferAmino AcidsAmino Acyl-tRNA SynthetasesRNA, Transfergenetic code expansionin vivonon-proteinogenic monomers

Identifiers

PMID40195833
PMCPMC13577130

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.