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Xiaoya Chen

Publications and source records attributed to Xiaoya Chen.

2 recordsLinked to original sources

Identification and Catalytic Optimization of Pinene Oxidases in Paeoniflorin Biosynthetic Pathway.

Paeoniflorin is a pharmacologically important cage-like monoterpene glycoside characteristic of Paeonia plants, yet its biosynthetic pathway has remained largely unresolved, hindering sustainable production. Here, we confirmed that paeoniflorin biosynthesis originates from α-pinene and identified three novel cytochrome P450 enzymes that catalyze pinene oxidation. CYP71AN126 catalyzes the hydroxylation of α-pinene at positions C4 and C10, followed by further oxidation of the alcohol to a ketone at C4, whereas CYP76A225/226 exclusively catalyze C10 hydroxylation. Virus-induced gene silencing (VIGS) assays demonstrated that silencing CYP71AN126, but not CYP76A225 and CYP76A226, significantly reduced the paeoniflorin content, indicating that C4 hydroxylation plays an important role in paeoniflorin biosynthesis, whereas C10 hydroxylation is not. Through the analysis of natural sequence and activity divergence among CYP71AN126 and CYP76A225/226, combined with protein structure prediction and site-directed mutagenesis, we identified L493 as a critical residue involved in regulating catalytic site specificity and substrate specificity of CYP71AN126. Mutation of L493 reduced or eliminated the formation of undesired C10 hydroxylation side-product and enhanced substrate specificity. These findings establish C4 oxidation of α-pinene as the critical committed step in paeoniflorin biosynthesis. Our study lays a foundation for elucidating the complete biosynthetic pathway of paeoniflorin in Paeonia and provides a target for enzyme engineering of CYP71AN126 aimed at the efficient production of paeoniflorin via synthetic biology approaches.

Paeonia genus

Genome-wide DNA methylation and transcriptome sequencing analyses of lens tissue in an age-related mouse cataract model.

DNA methylation is known to be associated with cataracts. In this study, we used a mouse model and performed DNA methylation and transcriptome sequencing analyses to find epigenetic indicators for age-related cataracts (ARC). Anterior lens capsule membrane tissues from young and aged mice were analyzed by MethylRAD-seq to detect the genome-wide methylation of extracted DNA. The young and aged mice had 76,524 and 15,608 differentially methylated CCGG and CCWGG sites, respectively. The Pearson correlation analysis detected 109 and 33 differentially expressed genes (DEGs) with negative methylation at CCGG and CCWGG sites, respectively, in their promoter regions. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses showed that DEGs with abnormal methylation at CCGG sites were primarily associated with protein kinase C signaling (Akap12, Capzb), protein threonine kinase activity (Dmpk, Mapkapk3), and calcium signaling pathway (Slc25a4, Cacna1f), whereas DEGs with abnormal methylation at CCWGG sites were associated with ribosomal protein S6 kinase activity (Rps6ka3). These genes were validated by pyrosequencing methylation analysis. The results showed that the ARC group (aged mice) had lower Dmpk and Slc25a4 methylation levels and a higher Rps6ka3 methylation than the control group (young mice), which is consistent with the results of the joint analysis of differentially methylated and differentially expressed genes. In conclusion, we confirmed the genome-wide DNA methylation pattern and gene expression profile of ARC based on the mouse cataract model with aged mice. The identified methylation molecular markers have great potential for application in the future diagnosis and treatment of ARC.

Animals