生物
计算生物学
RNA序列
细胞
核糖核酸
基因组学
转录组
基因组
遗传学
基因
基因表达
作者
Antoine‐Emmanuel Saliba,Alexander J. Westermann,Stanislaw A. Gorski,Jörg Vogel
摘要
Phenotypically identical cells can dramatically vary with respect to behavior during their lifespan and this variation is reflected in their molecular composition such as the transcriptomic landscape. Single-cell transcriptomics using next-generation transcript sequencing (RNA-seq) is now emerging as a powerful tool to profile cell-to-cell variability on a genomic scale. Its application has already greatly impacted our conceptual understanding of diverse biological processes with broad implications for both basic and clinical research. Different single-cell RNA-seq protocols have been introduced and are reviewed here-each one with its own strengths and current limitations. We further provide an overview of the biological questions single-cell RNA-seq has been used to address, the major findings obtained from such studies, and current challenges and expected future developments in this booming field.
科研通智能强力驱动
Strongly Powered by AbleSci AI