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单细胞转录组学:植物功能基因组学的高分辨率途径。

Single-Cell Transcriptomics: A High-Resolution Avenue for Plant Functional Genomics.

机构信息

School of Life Sciences, The University of Warwick, Coventry CV4 7AL, UK.

Warwick Mathematics Institute, The University of Warwick, Coventry CV4 7AL, UK.

出版信息

Trends Plant Sci. 2020 Feb;25(2):186-197. doi: 10.1016/j.tplants.2019.10.008. Epub 2019 Nov 25.

Abstract

Plant function is the result of the concerted action of single cells in different tissues. Advances in RNA-seq technologies and tissue processing allow us now to capture transcriptional changes at single-cell resolution. The incredible potential of single-cell RNA-seq lies in the novel ability to study and exploit regulatory processes in complex tissues based on the behaviour of single cells. Importantly, the independence from reporter lines allows the analysis of any given tissue in any plant. While there are challenges associated with the handling and analysis of complex datasets, the opportunities are unique to generate knowledge of tissue functions in unprecedented detail and to facilitate the application of such information by mapping cellular functions and interactions in a plant cell atlas.

摘要

植物功能是单个细胞在不同组织中的协同作用的结果。RNA 测序技术和组织处理的进步现在使我们能够以单细胞分辨率捕获转录变化。单细胞 RNA 测序的巨大潜力在于基于单个细胞的行为来研究和利用复杂组织中的调控过程的新能力。重要的是,这种方法不依赖于报告系,因此可以分析任何植物中的任何给定组织。虽然处理和分析复杂数据集存在挑战,但该方法提供了独特的机会,可以以前所未有的细节生成组织功能的知识,并通过绘制植物细胞图谱来促进细胞功能和相互作用信息的应用。

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