Área de Microbiología, Departamento de Biología Molecular, Facultad de Ciencias Biológicas y Ambientales, Universidad de León, León, Spain.
Instituto de Biotecnología de León, INBIOTEC, León, Spain.
Methods Mol Biol. 2023;2704:99-113. doi: 10.1007/978-1-0716-3385-4_6.
The principal transcriptome analysis is the determination of differentially expressed genes across experimental conditions. For this, the next-generation sequencing of RNA (RNA-seq) has several advantages over other techniques, such as the capability of detecting all the transcripts in one assay over RT-qPCR, such as its higher accuracy and broader dynamic range over microarrays or the ability to detect novel transcripts, including non-coding RNA molecules, at nucleotide-level resolution over both techniques. Despite 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 to generate the differential expression results.
主要的转录组分析是确定实验条件下差异表达的基因。为此,RNA 的下一代测序(RNA-seq)在许多方面优于其他技术,例如能够在一次测定中检测到所有的转录本,而 RT-qPCR 只能检测到一部分转录本,它比微阵列具有更高的准确性和更宽的动态范围,或者能够在核苷酸水平上检测到新的转录本,包括非编码 RNA 分子,而这两种技术都无法做到。尽管有这些优势,但许多微生物学实验室尚未将 RNA-seq 分析应用于他们的研究。由于分析的中间部分可以由商业或中央服务提供,因此用于下一代测序的设备的高成本已不再是问题。在这里,我们详细介绍了分析的第一部分,即 RNA 提取,以及测序数据的生物信息学分析的入门协议,以生成差异表达结果。