转录组
生物
计算生物学
RNA序列
癌症基因组测序
遗传学
基因表达谱
基因组
基因
基因组学
生物信息学
基因表达
作者
Marcin Cieślik,Arul M. Chinnaiyan
摘要
Methodological breakthroughs over the past four decades have repeatedly revolutionized transcriptome profiling. Using RNA sequencing (RNA-seq), it has now become possible to sequence and quantify the transcriptional outputs of individual cells or thousands of samples. These transcriptomes provide a link between cellular phenotypes and their molecular underpinnings, such as mutations. In the context of cancer, this link represents an opportunity to dissect the complexity and heterogeneity of tumours and to discover new biomarkers or therapeutic strategies. Here, we review the rationale, methodology and translational impact of transcriptome profiling in cancer.
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