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The cotranslational incorporation of pyrrolysine (Pyl), the 22nd proteinogenic amino acid, into proteins in response to the UAG stop codon represents an outstanding example of natural genetic code expansion. Genetic encoding of Pyl is conducted by the pyrrolysyl-tRNA synthetase (PylRS) and its cognate tRNA, tRNA. Owing to the high tolerance of PylRS toward diverse amino acid substrates and great orthogonality in various model organisms, the PylRS/tRNA-derived pairs are ideal for genetic code expansion to insert noncanonical amino acids (ncAAs) into proteins of interest. Since the discovery of cellular components involved in the biosynthesis and genetic encoding of Pyl, synthetic biologists have been enthusiastic about engineering PylRS/tRNA-derived pairs to rewrite the genetic code of living cells. Recently, considerable progress has been made in understanding the molecular phylogeny, biochemical properties, and structural features of the PylRS/tRNA pair, guiding its further engineering and optimization. In this review, we cover the basic and updated knowledge of the PylRS/tRNA pair's unique characteristics that make it an outstanding tool for reprogramming the genetic code. In addition, we summarize the recent efforts to create efficient and (mutually) orthogonal PylRS/tRNA-derived pairs for incorporation of diverse ncAAs by genome mining, rational design, and advanced directed evolution methods.
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http://dx.doi.org/10.1128/jb.00385-22 | DOI Listing |
Microb Genom
September 2025
International Centre of Excellence for Aquatic Animal Health, The Centre for Environment, Fisheries and Aquaculture Science, Weymouth, DT4 8UB, UK.
High rates of mortality of the common cockle, , have occurred in the Wash Estuary, UK, since 2008. A previous study linked the mortalities to a novel genotype of , with a strong correlation between cockle moribundity and the presence of . Here, we characterize a novel iridovirus, identified by chance during metagenomic sequencing of a gradient purification of cells, with the presence also correlated to cockle moribundity.
View Article and Find Full Text PDFJ Am Chem Soc
September 2025
Department of Chemistry, Rice University, 6100 Main Street, Houston, Texas 77005, United States.
Genetic code expansion (GCE) technology has primarily been devoted to the introduction of noncanonical amino acids (ncAAs) into ribosomally synthesized proteins or peptides. Its potential for modifying nonribosomal natural products remains unexplored. In this study, we introduce a novel strategy that integrates GCE with the directed evolution of cyclodipeptide synthase (CDPS) to engineer a new class of CDPSs capable of biosynthesizing cyclodipeptides containing ncAAs.
View Article and Find Full Text PDFCNS Drugs
September 2025
Global Health Neurology Lab, Sydney, NSW, 2150, Australia.
Acute ischemic stroke (AIS) remains a leading cause of mortality and long-term disability globally, with survivors at high risk of recurrent stroke, cardiovascular events, and post-stroke dementia. Statins, while widely used for their lipid-lowering effects, also possess pleiotropic properties, including anti-inflammatory, endothelial-stabilizing, and neuroprotective actions, which may offer added benefit in AIS management. This article synthesizes emerging evidence on statins' dual mechanisms of action and evaluates their role in reducing recurrence, improving survival, and mitigating cognitive decline.
View Article and Find Full Text PDFBioinform Adv
August 2025
IBM Research, Yorktown Heights, NY, 10598, United States.
Motivation: Due to the intricate etiology of neurological disorders, finding interpretable associations between multiomics features can be challenging using standard approaches.
Results: We propose COMICAL, a contrastive learning approach using multiomics data to generate associations between genetic markers and brain imaging-derived phenotypes. COMICAL jointly learns omics representations utilizing transformer-based encoders with custom tokenizers.
Front Psychiatry
August 2025
Statistics Section of the Department of Genetics, Microbiology and Statistics, Universitat de Barcelona (UB), Barcelona, Spain.
Most methodological Polygenic Risk Score (PRS)-related papers explain the laborious process of computing the PRS in great depth. Afterwards, as a last step, it is generally described that to test a possible association between a PRS and a trait of interest, an analysis through regression models (linear or logistic, depending on data type) should be carried out adjusting for covariates (e.g.
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