Research Progress of Single-Cell Transcriptome Sequencing Technology in Plants
Multicellular organisms exhibit inherent cellular heterogeneity that cannot be captured by traditional high-throughput sequencing techniques, resulting in the unique cellular characteristics of individual cells being neglected. Single-cell transcriptome sequencing (scRNA-seq) technology can be used to determine the gene expression levels of each individual cell, facilitating the study of intercellular expression heterogeneity. This review provides a comprehensive overview of the development and applications of scRNA-seq technology in plant research. We highlight the significance of integrating single-cell multi-omics approaches to achieve a holistic understanding of plant systems. Additionally, we discuss the current challenges and future research directions for scRNA-seq technology in plant studies, aiming to offer valuable insights for its application across various plant species.
Authors
- Zhiming Li (ORCID: https://orcid.org/0000-0001-9730-9917)
- Rui Tang (ORCID: https://orcid.org/0000-0002-3112-4861)
- Yunling Peng (ORCID: https://orcid.org/0000-0003-4442-0245)
- Xiangzhuo Ji
- Jiangtao Chen (ORCID: https://orcid.org/0000-0001-7887-5091)
- Jiawei Li (ORCID: https://orcid.org/0000-0001-7520-4380)
- Jianwen Bian
- Zelong Zhuang (ORCID: https://orcid.org/0009-0000-6428-1751)
Institutions
- Gansu Agricultural University (CN)
Publication Details
- Journal
- Agronomy
- Published
- 2024-10-28
- DOI
- https://doi.org/10.3390/agronomy14112530
- Citations
- 3
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.70
Funders
- Gansu Agricultural University
- Science and Technology Program of Gansu Province