转录组
计算生物学
生物
DNA微阵列
核糖核酸
基因
小RNA
非编码RNA
基因组
平铺阵列
基因表达
遗传学
作者
Amanda Freire Assis,Ernna Hérida Domingues de Oliveira,Paula B. Donate,Silvana Giuliatti,Catherine Nguyen,Geraldo Aleixo Silva Passos
出处
期刊:Springer eBooks
[Springer Nature]
日期:2014-01-01
卷期号:: 3-48
被引量:8
标识
DOI:10.1007/978-3-319-11985-4_1
摘要
The concept of the transcriptome revolves around the complete set of transcripts present in a given cell type, tissue or organ and encompasses both coding and non-coding RNA molecules, although we often assume that it consists only of messenger RNAs (mRNAs) because of their importance in encoding proteins. Unlike the nuclear genome, whose composition and size are essentially static, the transcriptome often changes. The transcriptome is influenced by the phase of the cell cycle, the organ, exposure to drugs or physical agents, aging, diseases and a multitude of other variables, all of which must be considered at the time of its determination. However, it is precisely this property that makes the transcriptome useful for the discovery of gene function and as a molecular signature. In this chapter, we review the beginnings of transcriptome research, the main types of RNA molecules found in a mammalian cell, the methods of analysis, and the bioinformatics pipelines used to organize and interpret the large quantities of data generated by the two current gold-standard methods of analysis: microarrays and high-throughput RNA sequencing (RNA-Seq). Attention is also given to non-coding RNAs, using microRNAs (miRNAs) as an example because they physically interact with mRNAs and play a role in the fine control of gene expression.
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