Wu Wei
Department of Medicine, Helen Diller Family Comprehensive Cancer Center, University of California in San Francisco, 600 16th Street Mission Bay/Genentech Hall, Room N212, San Francisco, CA, 94143, USA.
Methods Mol Biol. 2018;1699:211-215. doi: 10.1007/978-1-4939-7435-1_16.
MicroRNA (miRNA) is a non-protein-coding small RNA molecule that negatively regulates gene expression by degradation of mRNA or suppression of mRNA translation. MiRNAs play important roles in biological processes such as cellular development, differentiation, proliferation, apoptosis and stem cell self-renewal and cancer development. The expression profile of microRNAs is tissue-, cell-type specific. PCR- and microarray-based arrays are the commonly used for differential expression of microRNAs between different diseased conditions. With the next-generation sequencing or massively parallel DNA sequencing technology advanced and the cost is plummeting, microRNAseq approach is widely used for the genome-wide discovery of known and unknown miRNA expression. However, the analysis of microRNAseq is computational expensive, here I provide guidelines and available tools for microRNAseq analysis.
微小RNA(miRNA)是一种非蛋白质编码的小RNA分子,通过降解mRNA或抑制mRNA翻译来负向调节基因表达。miRNA在细胞发育、分化、增殖、凋亡、干细胞自我更新以及癌症发展等生物学过程中发挥着重要作用。微小RNA的表达谱具有组织和细胞类型特异性。基于PCR和微阵列的方法常用于不同疾病状态下微小RNA的差异表达分析。随着下一代测序技术或大规模平行DNA测序技术的发展以及成本的大幅下降,微小RNA测序方法被广泛用于全基因组范围内已知和未知miRNA表达的发现。然而,微小RNA测序分析的计算成本很高,在此我提供微小RNA测序分析的指导方针和可用工具。