File Download

There are no files associated with this item.

Supplementary

Conference Paper: Synthetic cation transporter targeting cancer stem cells

TitleSynthetic cation transporter targeting cancer stem cells
Other TitlesHighly selective small potassium transporter induces cancer cell death
Authors
Issue Date2017
PublisherAmerican Chemical Society.
Citation
The 253rd American Chemical Society (ACS) National Meeting & Exposition , San Francisco, CA, 2–6 April 2017 How to Cite?
AbstractIonic homeostasis is critical for cells to maintain normal physiological functions, including proliferation, differentiation and apoptosis. Recently, modulating intracellular ion concentrations by synthetic anion transporters has proved to be an important strategy to kill cancer cells. For example, salinomycin, a potassium ionophore, was reported to selectively target breast cancer stem cells with over 100 times efficiency than paclitaxel. Although synthetic cation transporters have advantages of improved pharmacological properties and simplified chemical structures, attempts of using these types of compounds in cancer therapy are rather limited, which may be due to the high molecular weight, structure complexity, and poor selectivity of the existing synthetic cation transporters. Here we report a small synthetic potassium transporter with one aminoxy acid unit exhibits high selectivity for K+ cations over Na + or Cl- ions. We have demonstrated that this potassium transporter can establish membrane potential in liposomes and selectively induce the death of human ovarian cancer stem cells. These preliminary studies suggested the promise of using small aminoxy acid-based potassium transporters as anti-cancer agents.
Descriptionsession: Current Topics in Biochemistry - BIOL 93
Persistent Identifierhttp://hdl.handle.net/10722/247754

 

DC FieldValueLanguage
dc.contributor.authorShen, FF-
dc.contributor.authorYang, D-
dc.date.accessioned2017-10-18T08:32:06Z-
dc.date.available2017-10-18T08:32:06Z-
dc.date.issued2017-
dc.identifier.citationThe 253rd American Chemical Society (ACS) National Meeting & Exposition , San Francisco, CA, 2–6 April 2017-
dc.identifier.urihttp://hdl.handle.net/10722/247754-
dc.descriptionsession: Current Topics in Biochemistry - BIOL 93-
dc.description.abstractIonic homeostasis is critical for cells to maintain normal physiological functions, including proliferation, differentiation and apoptosis. Recently, modulating intracellular ion concentrations by synthetic anion transporters has proved to be an important strategy to kill cancer cells. For example, salinomycin, a potassium ionophore, was reported to selectively target breast cancer stem cells with over 100 times efficiency than paclitaxel. Although synthetic cation transporters have advantages of improved pharmacological properties and simplified chemical structures, attempts of using these types of compounds in cancer therapy are rather limited, which may be due to the high molecular weight, structure complexity, and poor selectivity of the existing synthetic cation transporters. Here we report a small synthetic potassium transporter with one aminoxy acid unit exhibits high selectivity for K+ cations over Na + or Cl- ions. We have demonstrated that this potassium transporter can establish membrane potential in liposomes and selectively induce the death of human ovarian cancer stem cells. These preliminary studies suggested the promise of using small aminoxy acid-based potassium transporters as anti-cancer agents.-
dc.languageeng-
dc.publisherAmerican Chemical Society.-
dc.relation.ispartofAmerican Chemical Society (ACS) National Meeting & Exposition, April 2017-
dc.titleSynthetic cation transporter targeting cancer stem cells-
dc.title.alternativeHighly selective small potassium transporter induces cancer cell death-
dc.typeConference_Paper-
dc.identifier.emailYang, D: yangdan@hku.hk-
dc.identifier.authorityYang, D=rp00825-
dc.identifier.hkuros281541-
dc.publisher.placeSan Francisco, CA-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats