作者: Zhen Tian , Biao Yang , Qin Wang , Yuqiong Wu , Zhenyuan Han
DOI: 10.1186/S12935-021-01839-6
关键词: RNA 、 Computational biology 、 Transcriptome 、 DNA methylation 、 Coding region 、 Gene 、 Biology 、 Methylation 、 N6-Methyladenosine 、 Gene expression
摘要: BACKGROUND Invasive malignant pleomorphic adenoma (IMPA) is a highly invasive parotid gland tumor and lacks effective therapy. N6-Methyladenosine (m6A) the most prevalent post-transcriptional modification of mRNAs in eukaryotes plays an important role pathogenesis multiple tumors. However, significance m6A-modified IMPA has not been elucidated to date. Hence, this study, we attempted profile effect terms m6A methylation mRNA. METHODS Methylated RNA immunoprecipitation with next-generation sequencing (MeRIP-seq) (RNA-seq) were utilized acquire first transcriptome-wide profiling methylome map followed by bioinformatics analysis. RESULTS In obtained maps samples normal adjacent tissues through MeRIP-seq. In total, 25,490 peaks associated 13,735 genes detected group, whereas 33,930 18,063 control group. Peaks primarily enriched within coding regions near stop codons AAACC GGAC motifs. Moreover, functional enrichment analysis demonstrated that m6A-containing significantly cancer metabolism relevant pathways. Furthermore, identified relationship between transcriptome, indicating mechanism which modulates gene expression. CONCLUSIONS Our study provide comprehensive profiles determine potential roles played IMPA. These results may open new avenues for in-depth research elucidating topology molecular mechanisms governing formation progression