Department of Plant Systems Physiology, Institute for Water and Wetland Research, Radboud University, Heyendaalseweg 135, 6525 AJ Nijmegen, the Netherlands; Department of Biological Sciences and Centre for BioImaging Sciences, National University of Singapore, Singapore 117543, Singapore.
Department of Plant Systems Physiology, Institute for Water and Wetland Research, Radboud University, Heyendaalseweg 135, 6525 AJ Nijmegen, the Netherlands; Department of Biological Sciences and Centre for BioImaging Sciences, National University of Singapore, Singapore 117543, Singapore.
Mol Plant. 2021 Jan 4;14(1):115-126. doi: 10.1016/j.molp.2020.10.012. Epub 2020 Nov 2.
The rapid and enthusiastic adoption of single-cell RNA sequencing (scRNA-seq) has demonstrated that this technology is far more than just another way to perform transcriptome analysis. It is not an exaggeration to say that the advent of scRNA-seq is revolutionizing the details of whole-transcriptome snapshots from a tissue to a cell. With this disruptive technology, it is now possible to mine heterogeneity between tissue types and within cells like never before. This enables more rapid identification of rare and novel cell types, simultaneous characterization of multiple different cell types and states, more accurate and integrated understanding of their roles in life processes, and more. However, we are only at the beginning of unlocking the full potential of scRNA-seq applications. This is particularly true for plant sciences, where single-cell transcriptome profiling is in its early stage and has many exciting challenges to overcome. In this review, we compare and evaluate recent pioneering studies using the Arabidopsis root model, which has established new paradigms for scRNA-seq studies in plants. We also explore several new and promising single-cell analysis tools that are available to those wishing to study plant development and physiology at unprecedented resolution and scale. In addition, we propose some future directions on the use of scRNA-seq technology to tackle some of the critical challenges in plant research and breeding.
单细胞 RNA 测序 (scRNA-seq) 的快速而热烈的采用表明,这项技术不仅仅是进行转录组分析的另一种方式。毫不夸张地说,scRNA-seq 的出现正在彻底改变从组织到细胞的全转录组快照的细节。有了这项颠覆性的技术,现在可以前所未有地挖掘组织类型之间和细胞内部的异质性。这使得能够更快地识别稀有和新型细胞类型,同时对多种不同的细胞类型和状态进行特征描述,更准确和综合地了解它们在生命过程中的作用等等。然而,我们才刚刚开始挖掘 scRNA-seq 应用的全部潜力。对于植物科学来说尤其如此,单细胞转录组谱分析仍处于早期阶段,有许多令人兴奋的挑战需要克服。在这篇综述中,我们比较和评估了最近使用拟南芥根模型进行的开创性研究,这些研究为植物的 scRNA-seq 研究建立了新的范例。我们还探讨了一些新的和有前途的单细胞分析工具,希望它们能够以前所未有的分辨率和规模研究植物的发育和生理学。此外,我们提出了一些关于使用 scRNA-seq 技术来解决植物研究和育种中一些关键挑战的未来方向。