The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Single-Cell RNA Sequencing Resolves Molecular Relationships Among Individual Plant Cells
Open accessAbstract
Single-cell RNA sequencing (scRNA-seq) has been used extensively to study cell-specific gene expression in animals, but it has not been widely applied to plants. Here, we describe the use of a commercially available droplet-based microfluidics platform for high-throughput scRNA-seq to obtain single-cell transcriptomes from protoplasts of more than 10,000 Arabidopsis (Arabidopsis thaliana) root cells. We find that all major tissues and developmental stages are represented in this single-cell transcriptome population. Further, distinct subpopulations and rare cell types, including putative quiescent center cells, were identified. A focused analysis of root epidermal cell transcriptomes defined developmental trajectories for individual cells progressing from meristematic through mature stages of root-hair and nonhair cell differentiation. In addition, single-cell transcriptomes were obtained from root epidermis mutants, enabling a comparative analysis of gene expression at single-cell resolution and providing an unprecedented view of the impact of the mutated genes. Overall, this study demonstrates the feasibility and utility of scRNA-seq in plants and provides a first-generation gene expression map of the Arabidopsis root at single-cell resolution.
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Cites
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174
Massively parallel digital transcriptional profiling of single cells
Zheng, G. X. Y., Terry, J. M., Belgrader, P., Ryvkin, P., Bent, Z. W., Wilson, R., Ziraldo, S. B., Wheeler, T. D., McDermott, G. P., Zhu, J., et al. (2017) · Nature Communications · doi:10.1038/ncomms14049 · Cited by 7,353
Comparative Analysis of Single-Cell RNA Sequencing Methods
Ziegenhain, C., Vieth, B., Parekh, S., Reinius, B., Guillaumet-Adkins, A., Smets, M., Leonhardt, H., Heyn, H., Hellmann, I., & Enard, W. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.01.023 · Cited by 1,494
Di Laurenzio, L., Wysocka-Diller, J., Malamy, J. E., Pysh, L., Helariutta, Y., Freshour, G., Hahn, M. G., Feldmann, K. A., & Benfey, P. N. (1996) · Cell · doi:10.1016/s0092-8674(00)80115-4 · Cited by 1,124
Cited by
Plant synthetic biology innovations for biofuels and bioproducts
Yang, Y., Chaffin, T. A., Ahkami, A. H., Blumwald, E., & Stewart, C. N. (2022) · Trends in Biotechnology · doi:10.1016/j.tibtech.2022.09.007 · Cited by 59
Metadata
- Authors
- Ryu, K. H., Huang, L., Kang, H. M., & Schiefelbein, J.
- Venue
- Plant Physiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-02-04
- Volume
- 179
- Issue
- 4
- Pages
- 1444-1456
- ISSN
- 0032-0889 (ISSN-L)
- 1532-2548
- OpenAlex
- W2913398225
- Cited by
- 545
- References
- 4
- FWCI
- 18.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Ryu, K. H., Huang, L., Kang, H. M., & Schiefelbein, J. (2019). Single-Cell RNA Sequencing Resolves Molecular Relationships Among Individual Plant Cells. Plant Physiology. https://doi.org/10.1104/pp.18.01482
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