转录组
多细胞生物
计算生物学
生物
工作流程
破译
功能(生物学)
基因组
细胞
基因
生物信息学
基因表达
细胞生物学
遗传学
计算机科学
数据库
作者
Sandra Thibivilliers,Andrew Farmer,Susan J. Schroeder,Marc Libault
出处
期刊:Springer eBooks
[Springer Nature]
日期:2022-12-11
卷期号:: 165-181
标识
DOI:10.1007/978-1-0716-2756-3_6
摘要
Single-cell transcriptomics technologies allow researchers to investigate how individual cells, in complex multicellular organisms, differentially use their common genomic DNA. In plant biology, these technologies were recently applied to reveal the transcriptomes of various plant cells isolated from different organs and different species and in response to environmental stresses. These first studies support the potential of single-cell transcriptomics technology to decipher the biological function of plant cells, their developmental programs, cell-type-specific gene networks, programs controlling plant cell response to environmental stresses, etc. In this chapter, we provide information regarding the critical steps and important information to consider when developing an experimental design in plant single-cell biology. We also describe the current status of bioinformatics tools used to analyze single-cell RNA-seq datasets and how additional emerging technologies such as spatial transcriptomics and long-read sequencing technologies will provide additional information on the differential use of the genome by plant cells.
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