The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
A Putative Leucine-Rich Repeat Receptor Kinase Involved in Brassinosteroid Signal Transduction
Open accessAbstract
Brassinosteroids are a class of growth-promoting regulators that play a key role throughout plant development. Despite their importance, nothing is known of the mechanism of action of these steroid hormones. We describe the identification of 18 Arabidopsis dwarf mutants that are unable to respond to exogenously added brassinosteroid, a phenotype that might be expected for brassinosteroid signaling mutants. All 18 mutations define alleles of a single previously described gene, BRI1. We cloned BRI1 and examined its expression pattern. It encodes a ubiquitously expressed putative receptor kinase. The extracellular domain contains 25 tandem leucine-rich repeats that resemble repeats found in animal hormone receptors, plant disease resistance genes, and genes involved in unknown signaling pathways controlling plant development.
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Cited by
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BRASSINOSTEROIDS: Essential Regulators of Plant Growth and Development
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Self-citationBRI1 is a critical component of a plasma-membrane receptor for plant steroids
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Self-citationKim, T.-W., Guan, S., Sun, Y., Deng, Z., Tang, W., Shang, J.-X., Sun, Y., Burlingame, A. L., & Wang, Z.-Y. (2009) · Nature Cell Biology · doi:10.1038/ncb1970 · Cited by 693
Metadata
- Authors
- Li, J., & Chory, J.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 1997-09
- Volume
- 90
- Issue
- 5
- Pages
- 929-938
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2059744667
- Cited by
- 1,650
- References
- 55
- FWCI
- 54.23
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Li, J., & Chory, J. (1997). A Putative Leucine-Rich Repeat Receptor Kinase Involved in Brassinosteroid Signal Transduction. Cell. https://doi.org/10.1016/s0092-8674(00)80357-8
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
