Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Mettl5-/- brain Transcriptomes

Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived brain transcriptome. Methods: Brain mRNA profiles of 28-day-old wild-type (WT) and methyltransferase like 5 knockout (Mettl5-/-) mice were generated by using oligo(dT)-attached magnetic beads enrichemnt. The sequence reads that passed twice quality filters were analyzed at the transcript isoform level with Bowtie2 for quantitative gene analysis and with DEGseq for differentially expressed genes analysis. Results: 6 samples were tested by using the BGISEq-500 platform, and each sample produced 21.45 M data on average. The average ratio of samples to genomes (mm10) was over 96%; A total of 18,491 genes were detected. Brain mRNA profiles of 28-day old wild type (WT) and Mettl5-/- mice研究目的：下一代测序（Next-generation sequencing, NGS）已革命性地推动了细胞通路的系统生物学分析。本研究旨在对比NGS衍生的大脑转录组。方法：本研究采用寡聚(dT)偶联磁珠富集法，获取28日龄野生型（Wild-type, WT）与甲基转移酶样5敲除（Methyltransferase like 5 knockout, Mettl5-/-）小鼠的大脑mRNA转录谱。将通过两轮质量过滤的测序读段在转录本异构体水平进行分析：使用Bowtie2开展基因定量分析，使用DEGseq开展差异表达基因分析。结果：采用BGISEq-500平台对6个样本进行测序，每个样本平均产出21.45 M数据；样本与小鼠参考基因组（mm10）的平均比对率超过96%；共检测到18491个基因。28日龄野生型（WT）与Mettl5-/-小鼠的大脑mRNA转录谱