Identification of KCa3.1 channel as a novel regulator of Oxidative phosphorylation in a subset of pancreatic carcinoma cell lines

Research output: Contribution to journalJournal articleResearchpeer-review

  • Ilya Kovalenko
  • Andrea Glasauer
  • Laura Schöckel
  • Daniel Rafael Peter Sauter
  • Alexander Ehrmann
  • Florian Sohler
  • Andrea Hägebarth
  • Novak, Ivana
  • Sven Christian

Pancreatic ductal adenocarcinoma (PDAC) represents the most common form of pancreatic cancer with rising incidence in developing countries and overall 5-year survival rates of less than 5%. The most frequent mutations in PDAC are gain-of-function mutations in KRAS as well as loss-of-function mutations in p53. Both mutations have severe impacts on the metabolism of tumor cells. Many of these metabolic changes are mediated by transporters or channels that regulate the exchange of metabolites and ions between the intracellular compartment and the tumor microenvironment. In the study presented here, our goal was to identify novel transporters or channels that regulate oxidative phosphorylation (OxPhos) in PDAC in order to characterize novel potential drug targets for the treatment of these cancers. We set up a Seahorse Analyzer XF based siRNA screen and identified previously described as well as novel regulators of OxPhos. The siRNA that resulted in the greatest change in cellular oxygen consumption was targeting the KCNN4 gene, which encodes for the Ca2+-sensitive K+ channel KCa3.1. This channel has not previously been reported to regulate OxPhos. Knock-down experiments as well as the use of a small molecule inhibitor confirmed its role in regulating oxygen consumption, ATP production and cellular proliferation. Furthermore, PDAC cell lines sensitive to KCa3.1 inhibition were shown to express the channel protein in the plasma membrane as well as in the mitochondria. These differences in the localization of KCa3.1 channels as well as differences in the regulation of cellular metabolism might offer opportunities for targeted therapy in subsets of PDAC.

Original languageEnglish
Article numbere0160658
JournalP L o S One
Volume11
Issue number8
Number of pages20
ISSN1932-6203
DOIs
Publication statusPublished - 2016

    Research areas

  • Journal Article

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