Rodríguez-García Antonio, Sola-Landa Alberto, Barreiro Carlos
Instituto de Biotecnología de León (INBIOTEC), Parque Científico de León, Avenida Real 1, 24006, León, Spain.
Área de Microbiología, Departamento de Biología Molecular, Campus de Ponferrada, Universidad de León, León, Spain.
Methods Mol Biol. 2017;1645:59-72. doi: 10.1007/978-1-4939-7183-1_5.
The major transcriptome analysis is the determination of differentially expressed genes across experimental conditions. For this, the next-generation sequencing of RNA (RNA-seq) is an increasingly cost-effective technology for the analysis of transcriptomes with several advantages over gene expression microarrays, such as its higher sensitivity and accuracy, broader dynamic range, and the ability to detect novel transcripts, including noncoding RNA molecules, at nucleotide-level resolution. Although these advantages, many microbiology laboratories have not yet applied RNA-seq analyses to their investigations. The high cost of the equipment for next-generation sequencing is no longer an issue, since this intermediate part of the analysis can be provided by commercial or central services. Here, we detail a protocol for the first part of the analysis, the RNA extraction, and an introductory protocol to the bioinformatics analysis of the sequencing data that generates the differential expression results.
主要的转录组分析是确定跨实验条件下差异表达的基因。为此,RNA的下一代测序(RNA-seq)是一种越来越具成本效益的转录组分析技术,与基因表达微阵列相比具有多个优势,例如更高的灵敏度和准确性、更宽的动态范围,以及能够在核苷酸水平分辨率下检测包括非编码RNA分子在内的新转录本。尽管有这些优势,但许多微生物学实验室尚未将RNA-seq分析应用于其研究中。下一代测序设备的高成本已不再是问题,因为分析的这一中间部分可由商业或中央服务机构提供。在此,我们详细介绍分析的第一部分即RNA提取的方案,以及用于生成差异表达结果的测序数据的生物信息学分析的入门方案。