Project description:Osteosarcoma (OS) is a life-threatening disease affecting mainly children and adolescents, it is urgently needed to find novel anticancer agents against it. In the present study, we demonstrated that Ailanthone (AIL), a major component of the Chinese medicine Ailanthus altissima, significantly suppressed cell growth, inhibited cell migration and invasion, induced cell cycle arrest instead of apoptosis in OS cells. Mechanistically, combined transcriptomics, proteomics and metabolomics analyses revealed that AIL induced widespread changes in metabolic programs in OS cells, while the serine biosynthetic pathway was the most significantly affected pathway. The results were verified by reverse test. Metabolic reprogramming is an essential hallmark of malignancy including OS. Our findings suggest that AIL holds a great potential to be an OS treatment strategy through mediating metabolic reprogramming.
2022-01-01 | GSE190238 | GEO
Project description:Genome survey sequencing of Ailanthus altissima and identification of simple sequence repeat (SSR) markers
Project description:MicroRNAs (miRNAs) are non-coding, short, single-stranded RNAs with essential roles in gene regulation in various organisms including higher plants. In contrast to the vast information on miRNAs from many economically important plants, almost nothing has been reported on the identification or analysis of miRNAs from rubber tree (Hevea brasiliensis L.), the most important natural rubber-producing crop. To identify miRNAs and their target genes in rubber tree, high throughput sequencing combined with a computational approach was performed. Four small RNA libraries were constructed for deep sequencing from mature and young leaves of two rubber tree clones, PB 260 and PB 217, which provide high and low latex yield, respectively. 237 miRNAs belonging to 37 known miRNA families were identified, and northern hybridization validated miRNA expression and revealed developmental stage-dependent and clone-specific expression for some miRNAs. We took advantage of the newly released rubber tree genome assembly as well as the genomic databases from leafy spurge and cassava, two species related to rubber tree, and predicted 15 novel miRNAs.
