The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Spatiotemporal Developmental Trajectories in the Arabidopsis Root Revealed Using High-Throughput Single-Cell RNA Sequencing
Open accessAbstract
High-throughput single-cell RNA sequencing (scRNA-seq) is becoming a cornerstone of developmental research, providing unprecedented power in understanding dynamic processes. Here, we present a high-resolution scRNA-seq expression atlas of the Arabidopsis root composed of thousands of independently profiled cells. This atlas provides detailed spatiotemporal information, identifying defining expression features for all major cell types, including the scarce cells of the quiescent center. These reveal key developmental regulators and downstream genes that translate cell fate into distinctive cell shapes and functions. Developmental trajectories derived from pseudotime analysis depict a finely resolved cascade of cell progressions from the niche through differentiation that are supported by mirroring expression waves of highly interconnected transcription factors. This study demonstrates the power of applying scRNA-seq to plants and provides an unparalleled spatiotemporal perspective of root cell differentiation.
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Cited by
High-Throughput Single-Cell Transcriptome Profiling of Plant Cell Types
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Plant synthetic biology innovations for biofuels and bioproducts
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Metadata
- Authors
- Denyer, T., Ma, X., Klesen, S., Scacchi, E., Nieselt, K., & Timmermans, M. C. P.
- Venue
- Developmental Cell
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 48
- Issue
- 6
- Pages
- 840-852.e5
- ISSN
- 1534-5807 (ISSN-L)
- OpenAlex
- W2922995994
- Cited by
- 608
- References
- 54
- FWCI
- 14.99
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Denyer, T., Ma, X., Klesen, S., Scacchi, E., Nieselt, K., & Timmermans, M. C. P. (2019). Spatiotemporal Developmental Trajectories in the Arabidopsis Root Revealed Using High-Throughput Single-Cell RNA Sequencing. Developmental Cell. https://doi.org/10.1016/j.devcel.2019.02.022
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