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

被引:137
作者
Rich-Griffin, Charlotte [1 ]
Stechemesser, Annika [2 ]
Finch, Jessica [1 ]
Lucas, Emma [3 ]
Ott, Sascha [4 ]
Schafer, Patrick [1 ,5 ]
机构
[1] Univ Warwick, Sch Life Sci, Coventry CV4 7AL, W Midlands, England
[2] Univ Warwick, Warwick Math Inst, Coventry CV4 7AL, W Midlands, England
[3] Univ Warwick, Warwick Med Sch, Coventry CV4 7AL, W Midlands, England
[4] Univ Warwick, Dept Comp Sci, Coventry CV4 7AL, W Midlands, England
[5] Univ Warwick, Warwick Integrat Synthet Biol Ctr, Coventry CV4 7AL, W Midlands, England
基金
英国生物技术与生命科学研究理事会;
关键词
RNA-SEQ; GENE-EXPRESSION; STRESS; MAP; TECHNOLOGIES; REGULATORS; RESPONSES; DYNAMICS; TRIGGERS; GROWTH;
D O I
10.1016/j.tplants.2019.10.008
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
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.
引用
收藏
页码:186 / 197
页数:12
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