生物
计算生物学
表型
基因组学
功能基因组学
RNA序列
基因表达谱
细胞生物学
单细胞分析
多细胞生物
基因
系统生物学
转录组
细胞
遗传学
基因组
电池类型
单细胞测序
进化生物学
模式生物
基因表达
作者
Abbas Shojaee,Michelle Saavedra,S. Huang
标识
DOI:10.1016/j.pbi.2021.102059
摘要
Single-cell genomics, particularly single-cell transcriptome profiling by RNA sequencing have transformed the possibilities to relate genes to functions, structures, and eventually phenotypes. We can now observe changes in each cell's transcriptome and among its neighborhoods, interrogate the sequence of transcriptional events, and assess their influence on subsequent events. This paradigm shift in biology enables us to infer causal relationships in these events with high accuracy. Here we review the latest single-cell studies in plants that uncover how cellular phenotypes emerge as a result of the transcriptome process such as waves of expression, trajectories of development and responses to the environment, and spatial information. With an eye on the advances made in animal and human studies, we further highlight some of the needed areas for future research and development, including computational methods.
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