Plant biotechnology research with single-cell transcriptome: recent advancements and prospects
- PMID: 38381195
- DOI: 10.1007/s00299-024-03168-0
Plant biotechnology research with single-cell transcriptome: recent advancements and prospects
Abstract
Single-cell transcriptomic techniques have emerged as powerful tools in plant biology, offering high-resolution insights into gene expression at the individual cell level. This review highlights the rapid expansion of single-cell technologies in plants, their potential in understanding plant development, and their role in advancing plant biotechnology research. Single-cell techniques have emerged as powerful tools to enhance our understanding of biological systems, providing high-resolution transcriptomic analysis at the single-cell level. In plant biology, the adoption of single-cell transcriptomics has seen rapid expansion of available technologies and applications. This review article focuses on the latest advancements in the field of single-cell transcriptomic in plants and discusses the potential role of these approaches in plant development and expediting plant biotechnology research in the near future. Furthermore, inherent challenges and limitations of single-cell technology are critically examined to overcome them and enhance our knowledge and understanding.
Keywords: Plant biotechnology; Plant development; Plant transcriptome; Single-cell technology; Spatial transcriptome; scRNA-seq.
© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Similar articles
-
Single-cell transcriptomics: a new frontier in plant biotechnology research.Plant Cell Rep. 2024 Nov 25;43(12):294. doi: 10.1007/s00299-024-03383-9. Plant Cell Rep. 2024. PMID: 39585480 Review.
-
Single-cell transcriptomics is revolutionizing the improvement of plant biotechnology research: recent advances and future opportunities.Crit Rev Biotechnol. 2024 Mar;44(2):202-217. doi: 10.1080/07388551.2023.2165900. Epub 2023 Feb 12. Crit Rev Biotechnol. 2024. PMID: 36775666 Review.
-
Introducing single cell stereo-sequencing technology to transform the plant transcriptome landscape.Trends Plant Sci. 2024 Feb;29(2):249-265. doi: 10.1016/j.tplants.2023.10.002. Epub 2023 Oct 31. Trends Plant Sci. 2024. PMID: 37914553 Review.
-
Advances and Challenges in Spatial Transcriptomics for Developmental Biology.Biomolecules. 2023 Jan 12;13(1):156. doi: 10.3390/biom13010156. Biomolecules. 2023. PMID: 36671541 Free PMC article. Review.
-
Unveiling the spatiotemporal strategies of plants in response to biotic and abiotic stresses:A comprehensive review.Plant Physiol Biochem. 2025 Jul;224:109967. doi: 10.1016/j.plaphy.2025.109967. Epub 2025 Apr 29. Plant Physiol Biochem. 2025. PMID: 40315636 Review.
Cited by
-
Harnessing Single-Cell and Spatial Transcriptomics for Crop Improvement.Plants (Basel). 2024 Dec 11;13(24):3476. doi: 10.3390/plants13243476. Plants (Basel). 2024. PMID: 39771174 Free PMC article. Review.
-
Single-cell transcriptomics: a new frontier in plant biotechnology research.Plant Cell Rep. 2024 Nov 25;43(12):294. doi: 10.1007/s00299-024-03383-9. Plant Cell Rep. 2024. PMID: 39585480 Review.
-
Multi-Omics Approaches in Oil Palm Research: A Comprehensive Review of Metabolomics, Proteomics, and Transcriptomics Based on Low-Temperature Stress.Int J Mol Sci. 2024 Jul 13;25(14):7695. doi: 10.3390/ijms25147695. Int J Mol Sci. 2024. PMID: 39062936 Free PMC article. Review.
References
-
- Abdelaal T, Michielsen L, Cats D et al (2019) A comparison of automatic cell identification methods for single-cell RNA sequencing data. Genome Biol. https://doi.org/10.1186/s13059-019-1795-z - DOI - PubMed - PMC
-
- Adrian J, Chang J, Ballenger CE et al (2015) Transcriptome dynamics of the stomatal lineage: birth, amplification, and termination of a self-renewing population. Dev Cell 33:107–118. https://doi.org/10.1016/j.devcel.2015.01.025 - DOI - PubMed - PMC
-
- Aldridge S, Teichmann SA (2020) Single cell transcriptomics comes of age. Nat Commun 11:4307. https://doi.org/10.1038/s41467-020-18158-5 - DOI - PubMed - PMC
-
- Asp M, Giacomello S, Larsson L et al (2019) A spatiotemporal organ-wide gene expression and cell atlas of the developing human heart. Cell 179:1647-1660.e19. https://doi.org/10.1016/j.cell.2019.11.025 - DOI - PubMed
-
- Bakken TE, Hodge RD, Miller JA et al (2018) Single-nucleus and single-cell transcriptomes compared in matched cortical cell types. PLoS ONE 13:e0209648. https://doi.org/10.1371/journal.pone.0209648 - DOI - PubMed - PMC
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources