Application and prospects of single-cell and spatial omics technologies in woody plants

被引:4
|
作者
Liang, Shaoming [1 ]
Li, Yiling [1 ]
Chen, Yang [1 ]
Huang, Heng [1 ]
Zhou, Ran [2 ]
Ma, Tao [1 ]
机构
[1] Sichuan Univ, Coll Life Sci, Key Lab Bioresource & Ecoenvironm, Sichuan Zoige Alpine Wetland Ecosyst Natl Observat, Chengdu, Peoples R China
[2] Univ Georgia, Sch Forestry & Nat Resources, Athens, GA USA
来源
FORESTRY RESEARCH | 2023年 / 3卷
基金
中国国家自然科学基金;
关键词
RNA-SEQ; GENE-EXPRESSION; ARABIDOPSIS; TISSUE; POPULUS; MODEL; MAIZE; ATLAS; ROOT; GENOME;
D O I
10.48130/FR-2023-0027
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Over the past decade, high-throughput sequencing and high-resolution single-cell transcriptome sequencing technologies have undergone rapid development, leading to significant breakthroughs. Traditional molecular biology methods are limited in their ability to unravel cellularlevel heterogeneity within woody plant tissues. Consequently, techniques such as single-cell transcriptomics, single-cell epigenetics, and spatial transcriptomics are rapidly gaining popularity in the study of woody plants. In this review, we provide a comprehensive overview of the development of these technologies, with a focus on their applications and the challenges they present in single-cell transcriptome research in woody plants. In particular, we delve into the similarities and differences among the results of current studies and analyze the reasons behind these differences. Furthermore, we put forth potential solutions to overcome the challenges encountered in single-cell transcriptome applications in woody plants. Finally, we discuss the application directions of these techniques to address key challenges in woody plant research in the future.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Computational framework decomposes and annotates single-cell and spatial omics
    Nature Biotechnology, 2023, 41 : 1396 - 1397
  • [22] Computational framework decomposes and annotates single-cell and spatial omics
    Nitzan, Mor
    Regev, Aviv
    NATURE BIOTECHNOLOGY, 2023, 41 (10) : 1396 - 1397
  • [23] Spatial omics technologies at multimodal and single cell/subcellular level
    Park, Jiwoon
    Kim, Junbum
    Lewy, Tyler
    Rice, Charles M.
    Elemento, Olivier
    Rendeiro, Andre F.
    Mason, Christopher E.
    GENOME BIOLOGY, 2022, 23 (01)
  • [24] Spatial omics technologies at multimodal and single cell/subcellular level
    Jiwoon Park
    Junbum Kim
    Tyler Lewy
    Charles M. Rice
    Olivier Elemento
    André F. Rendeiro
    Christopher E. Mason
    Genome Biology, 23
  • [25] Decoding Human Biology and Disease Using Single-cell Omics Technologies
    Shi, Qiang
    Chen, Xueyan
    Zhang, Zemin
    GENOMICS PROTEOMICS & BIOINFORMATICS, 2023, 21 (05) : 926 - 949
  • [26] Single-Cell Genomics and Epigenomics: Technologies and Applications in Plants
    Luo, Cheng
    Fernie, Alisdair R.
    Yan, Jianbing
    TRENDS IN PLANT SCIENCE, 2020, 25 (10) : 1030 - 1040
  • [27] The Application of Single-Cell Technologies in Cardiovascular Research
    Chen, Yinan
    Liu, Yang
    Gao, Xiang
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2021, 9
  • [28] Single-cell technologies: From research to application
    Wen, Lu
    Li, Guoqiang
    Huang, Tao
    Geng, Wei
    Pei, Hao
    Yang, Jialiang
    Zhu, Miao
    Zhang, Pengfei
    Hou, Rui
    Tian, Geng
    Su, Wentao
    Chen, Jian
    Zhang, Dake
    Zhu, Pingan
    Zhang, Wei
    Zhang, Xiuxin
    Zhang, Ning
    Zhao, Yunlong
    Cao, Xin
    Peng, Guangdun
    Ren, Xianwen
    Jiang, Nan
    Tian, Caihuan
    Chen, Zi-Jiang
    INNOVATION, 2022, 3 (06):
  • [29] Single-cell technologies: From research to application
    Wen, Lu
    Li, Guoqiang
    Huang, Tao
    Geng, Wei
    Pei, Hao
    Yang, Jialiang
    Zhu, Miao
    Zhang, Pengfei
    Hou, Rui
    Tian, Geng
    Su, Wentao
    Chen, Jian
    Zhang, Dake
    Zhu, Pingan
    Zhang, Wei
    Zhang, Xiuxin
    Zhang, Ning
    Zhao, Yunlong
    Cao, Xin
    Peng, Guangdun
    Ren, Xianwen
    Jiang, Nan
    Tian, Caihuan
    Chen, Zi-Jiang
    INNOVATION-THE EUROPEAN JOURNAL OF SOCIAL SCIENCE RESEARCH, 2022, 3 (06)
  • [30] Medicinal plants enter the single-cell multi-omics era
    Burlat, Vincent
    Papon, Nicolas
    Courdavault, Vincent
    TRENDS IN PLANT SCIENCE, 2023, 28 (11) : 1205 - 1207