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Cited by 659

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Functional expression of a probable Arabidopsis thaliana potassium channel in Saccharomyces cerevisiae.

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Anderson, J A, Huprikar, S S, Kochian, L V, Lucas, W J, Gaber, R F·1992·Proceedings of the National Academy of Sciences

Abstract

We report the isolation of a cDNA (KAT1) from Arabidopsis thaliana that encodes a probable K+ channel. KAT1 was cloned by its ability to suppress a K+ transport-defective phenotype in mutant Saccharomyces cerevisiae cells. This suppression is sensitive to known K+ channel blockers, including tetraethylammonium and Ba2+ ions. The KAT1 cDNA contains an open reading frame capable of encoding a 78-kDa protein that shares structural features found in the Shaker superfamily of K+ channels. These include a cluster of six putative membrane-spanning helices (S1-S6) at the amino terminus of the protein, a presumed voltage-sensing region containing Arg/Lys-Xaa-Xaa-Arg/Lys repeats within S4, and the highly conserved pore-forming region (known as H5 or SS1-SS2). Our results suggest that the structural motif for K+ channels has been conserved between plants and animals.

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Metadata

Authors
Anderson, J. A., Huprikar, S. S., Kochian, L. V., Lucas, W. J., & Gaber, R. F.
Venue
Proceedings of the National Academy of Sciences
Published
1992-05
Volume
89
Issue
9
Pages
3736-3740
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2032539806
Cited by
659
References
1
FWCI
14.63
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Functional expression of a probable Arabidopsis thaliana potassium channel in Saccharomyces cerevisiae. https://app.cochat.ai/papers/10.1073/pnas.89.9.3736
The paper
Anderson, J. A., Huprikar, S. S., Kochian, L. V., Lucas, W. J., & Gaber, R. F. (1992). Functional expression of a probable Arabidopsis thaliana potassium channel in Saccharomyces cerevisiae. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.89.9.3736

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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.