A comparative analysis of single-cell transcriptomic technologies in plants and animalsopen access
- Authors
- Netla, Vamsidhar Reddy; Shinde, Harshraj; Kumar, Gulshan; Dudhate, Ambika; Hong, Jong Chan; Kadam, Ulhas Sopanrao
- Issue Date
- Sep-2023
- Publisher
- Elsevier B.V.
- Keywords
- Bioinformatics; Plants; Regulatory pathways; Sequencing; Single-cell transcriptomics
- Citation
- Current Plant Biology, v.35-36
- Indexed
- SCOPUS
ESCI
- Journal Title
- Current Plant Biology
- Volume
- 35-36
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/67524
- DOI
- 10.1016/j.cpb.2023.100289
- ISSN
- 2214-6628
2214-6628
- Abstract
- The development of sequencing methods has resulted in the investigation of many unexplored research areas. Among the different sequencing methods, single-cell transcriptomics is versatile and has completely changed the researchers' perception of biological processes from tissue to single-cell. Single-cell transcriptomic is applied in various fields to reveal cell-cell interaction, phytopathogenic interactions, cell-specific genetic expression, regulatory pathways, and the effects of drugs on cells. Single-cell transcriptomics was initially applied to the model organisms, such as mice and Arabidopsis thaliana, and then later expanded to other non-model species. Recently, single-cell transcriptomics is revolutionizing plant and animal research. The direct application of single-cell transcriptomics has become simple with advanced sequencing methods and data analysis tools available. This review summarizes the latest knowledge on single-cell transcriptomics in plant and animal research. We emphasize various sequencing methods, bioinformatics software development, comparison between plant and animal single-cell transcriptomics studies, and the limitations and future prospectus. © 2023 The Authors
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