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Cited by 276

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Immunological identification and characterization of a delayed rectifier K+ channel polypeptide in rat brain.

Open access
Trimmer, J S·1991·Proceedings of the National Academy of Sciences

Abstract

Antibodies specific for the drk1 polypeptide were used to characterize the corresponding protein in rat brain. Recombinant and synthetic immunogens containing fragments of the drk1 polypeptide were produced. Antibodies raised to these immunogens display monospecific reactions with the same 130-kDa polypeptide on immunoblots of adult rat brain membranes. Immunoprecipitation of 125I-labeled brain membranes identifies a 38-kDa peptide in tight association with the drk1 polypeptide. Immunohistochemical staining of sections of adult rat cortex shows that drk1 protein is restricted to neurons, where staining is present on dendrites and cell bodies but not on axons. These studies point to the value of such immunological reagents to the further characterization of the components of this delayed rectifier K+ channel in the mammalian central nervous system.

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Metadata

Authors
Trimmer, J. S.
Venue
Proceedings of the National Academy of Sciences
Published
1991-12
Volume
88
Issue
23
Pages
10764-10768
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2009697737
Cited by
276
References
23
FWCI
3.30
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Immunological identification and characterization of a delayed rectifier K+ channel polypeptide in rat brain. https://app.cochat.ai/papers/10.1073/pnas.88.23.10764
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Trimmer, J. S. (1991). Immunological identification and characterization of a delayed rectifier K+ channel polypeptide in rat brain. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.88.23.10764

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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.