高通量RNA甲基化测序数据处理与分析研究进展

Recent Progress and Challenges in High Throughput RNA Methylation Sequencing Data Analysis

随着高通量测序技术快速发展,Me RIP-seq(methylated RNA immunoprecipitation sequencing)测序技术开启了RNA表观遗传学研究新局面,能够在全基因组范围内描述RNA甲基化.从Me RIP-seq高通量数据中挖掘RNA甲基化模式,有助于揭示m RNA甲基化在调控基因表达、剪切等方面所发挥的潜在功能,有效指导癌症的干预治疗.本文从Me RIP-seq测序原理出发,较全面地综述Me RIP-seq数据处理和分析方法研究现状,并对其所面临的计算问题进行讨论和展望.

With the rapid development of high-throughput sequencing technologies, the emerging of methylated RNA immunoprecipitation sequencing（Me RIP-seq） technology makes it possible to detect RNA epigenetic modifications in a large scale, which allows transcriptome-wide profiling of RNA methylation. Mining the patterns of global m RNA methylation from these Me RIP-seq data can help reveal the potential functional roles of these m RNA methylations in regulating gene expression, splicing, RNA editing and RNA stability, effectively guiding the therapeutic intervention of cancer. Here, the principle of Me RIP-seq sequencing was first introduced. Then, the recent progress of the processing and analysis of Me RIP-seq data were comprehensively discussed. In the end, the computational problems and challenges faced in the process of Me RIP-seq data processing were also summarized.