Papers

International journal
2013

Automated parallel recordings of topologically identified single ion channels.

Scientific reports
  • Ryuji Kawano
  • ,
  • Yutaro Tsuji
  • ,
  • Koji Sato
  • ,
  • Toshihisa Osaki
  • ,
  • Koki Kamiya
  • ,
  • Minako Hirano
  • ,
  • Toru Ide
  • ,
  • Norihisa Miki
  • ,
  • Shoji Takeuchi

Volume
3
Number
First page
1995
Last page
1995
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.1038/srep01995
Publisher
NATURE PUBLISHING GROUP

Although ion channels are attractive targets for drug discovery, the systematic screening of ion channel-targeted drugs remains challenging. To facilitate automated single ion-channel recordings for the analysis of drug interactions with the intra- and extracellular domain, we have developed a parallel recording methodology using artificial cell membranes. The use of stable lipid bilayer formation in droplet chamber arrays facilitated automated, parallel, single-channel recording from reconstituted native and mutated ion channels. Using this system, several types of ion channels, including mutated forms, were characterised by determining the protein orientation. In addition, we provide evidence that both intra- and extracellular amyloid-beta fragments directly inhibit the channel open probability of the hBK channel. This automated methodology provides a high-throughput drug screening system for the targeting of ion channels and a data-intensive analysis technique for studying ion channel gating mechanisms.

Link information
DOI
https://doi.org/10.1038/srep01995
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/23771282
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3683667
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000320397800001&DestApp=WOS_CPL
ID information
  • DOI : 10.1038/srep01995
  • ISSN : 2045-2322
  • Pubmed ID : 23771282
  • Pubmed Central ID : PMC3683667
  • Web of Science ID : WOS:000320397800001

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