转录组
计算生物学
表观遗传学
生物
疾病
免疫系统
后生
生物信息学
数据科学
计算机科学
遗传学
基因表达
基因
DNA甲基化
医学
病理
作者
Emma de Jong,Anthony Bosco
摘要
The transcriptome represents the entire set of RNA transcripts expressed in a cell, reflecting both the underlying genetic and epigenetic landscape and environmental influences, providing a comprehensive view of functional cellular states at any given time. Recent technological advances now enable the study of the transcriptome at the resolution of individual cells, providing exciting opportunities to characterise cellular and molecular events that underpin immune-medicated diseases. Here, we draw on recent examples from the literature to highlight the application of advanced bioinformatics tools to extract mechanistic insight and disease biology from bulk and single-cell transcriptomic profiles. Key considerations for the use of available analysis techniques are presented throughout.
科研通智能强力驱动
Strongly Powered by AbleSci AI