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Cited by 158

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

High-Level Expression, Functional Reconstitution, and Quaternary Structure of a Prokaryotic Clc-Type Chloride Channel

Open access
Maduke, Merritt, Pheasant, Deborah J., Miller, Christopher·1999·The Journal of General Physiology

Abstract

ClC-type anion-selective channels are widespread throughout eukaryotic organisms. BLAST homology searches reveal that many microbial genomes also contain members of the ClC family. An Escherichia coli–derived ClC Cl− channel homologue, “EriC,” the product of the yadQ gene, was overexpressed in E. coli and purified in milligram quantities in a single-step procedure. Reconstitution of purified EriC into liposomes confers on these membranes permeability to anions with selectivity similar to that observed electrophysiologically in mammalian ClC channels. Cross-linking studies argue that EriC is a homodimer in both detergent micelles and reconstituted liposomes, a conclusion corroborated by gel filtration and analytical sedimentation experiments.

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Crossref · 10.1085/jgp.114.5.713

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Metadata

Authors
Maduke, M., Pheasant, D. J., & Miller, C.
Venue
The Journal of General Physiology
Published
1999-10-25
Volume
114
Issue
5
Pages
713-722
ISSN
  • 0022-1295 (ISSN-L)
  • 1540-7748
OpenAlex
W2080861274
Cited by
158
References
2
FWCI
2.50
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: High-Level Expression, Functional Reconstitution, and Quaternary Structure of a Prokaryotic Clc-Type Chloride Channel. https://app.cochat.ai/papers/10.1085/jgp.114.5.713
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Maduke, M., Pheasant, D. J., & Miller, C. (1999). High-Level Expression, Functional Reconstitution, and Quaternary Structure of a Prokaryotic Clc-Type Chloride Channel. The Journal of General Physiology. https://doi.org/10.1085/jgp.114.5.713

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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.