Project description:Background & Aims: Gynura japonica-induced hepatic sinusoidal obstruction syndrome (HSOS) is closely related with pyrrolizidine alkaloids (PAs) and the prevalence is on the rise worldwide in recent years. However, there is no effective therapy for PA-induced HSOS in clinic, which is partially caused by the failure of quick diagnosis. The aim of the present study was to identify blood miRNAs signatures as the potential biomarkers for PA-induced HSOS in clinic. Methods: Microarray-based miRNA profiling was performed on blood samples of the discovery cohort, i.e. 9 HSOS patients and 9 healthy donors. The differentially expressed miRNAs were further confirmed using a validation cohort of 20 independent HSOS patients. In addition, rat model was also established by orally administration of total alkaloids extract (TA) from G. japonica to investigate the association of miRNAs biomarkers with the progression of HSOS. Bioinformatic analysis, including GO and KEGG enrichment analyses, receiver operating characteristics curve (ROC) analysis, correlation analysis, etc., were conducted to evaluate the accuracy of the potential miRNA biomarkers. Results: Three miRNAs, namely miR-148a-3p, miR-362-5p, and miR-194-5p, were over-expressed in PA-induced HSOS patients and rats. They were positively related to the severity of liver injury and displayed considerable diagnostic accuracy for HSOS patients with areas under the curve (AUC) over 0.87. Conclusions: In summary, the present study demonstrated that 3 miRNAs, i.e. hsa-miR-148a-3p, hsa-miR-362-5p, and hsa-miR-194-5p, might serve as potential biomarkers for PA-induced HSOS in clinic. Conclusions: In summary, the present study demonstrated that 3 miRNAs, i.e. hsa-miR-148a-3p, hsa-miR-362-5p, and hsa-miR-194-5p, might serve as potential biomarkers for PA-induced HSOS in clinic.
Project description:Here, we performed deep transcriptome sequencing for the aerial-tissues and the roots of S. japonica, generating over 2 billion raw reads with an average length of 101 nt by using an Illumina paired-end sequencing by HiSeq2000 platform. Using a combined approach of three popular assemblers, de novo transcriptome assembly for S. japonica was obtained, yielding in 81,729 unigenes with an average length as 884bps and N50-value as 1,452bps, with 46,963 unigenes being annotated based on the sequence similarity against NCBI-nr protein database. Transcriptome profiling of the aerial-tissues and the roots of Swertia japonica
Project description:We report the application of a high-throughput sequencing approach that is specifically designed to analyze the active mobilome of eukaryotes after simultaneous inhibition of RNA polymerase II and/or DNA methylation in O. sativa japonica. We found that the simultaneous inhibition of Pol II and DNA-methylation activated the evolutionary young Houba-Retrotransposon in O. sativa suggesting a crucial role of Pol II in regulating retrotransposition in plants.
Project description:To determine the distribution of centromere units in the genome of holocentric Chionographis japonica, we performed CENH3-ChIPseq using the customized species-specific CENH3 antibody. We mixed the chromatins of C. japonica and Secale cereal (inbred line Lo7) to dilute the highly abundant centromeric Chio satellite repeats (16%) in the C. japonica genome before immunoprecipitation. In addition, to determine the large-scale genome organization, we performed ChIPseq by targeting the evolutionarily conserved eu- and heterochromatin-specific histone marks H3K4me2 and H33K9me2
Project description:Here, we performed deep transcriptome sequencing for the aerial-tissues and the roots of S. japonica, generating over 2 billion raw reads with an average length of 101 nt by using an Illumina paired-end sequencing by HiSeq2000 platform. Using a combined approach of three popular assemblers, de novo transcriptome assembly for S. japonica was obtained, yielding in 81,729 unigenes with an average length as 884bps and N50-value as 1,452bps, with 46,963 unigenes being annotated based on the sequence similarity against NCBI-nr protein database.