Modelling the long QT syndrome with induced pluripotent stem cells

Ilanit Itzhaki, Leonid Maizels, Irit Huber, Limor Zwi-Dantsis, Oren Caspi, Aaron Winterstern, Oren Feldman, Amira Gepstein, Gil Arbel, Haim Hammerman, Monther Boulos and Lior Gepstein ()
Additional contact information
Ilanit Itzhaki: Sohnis Family Research Laboratory for Cardiac Electrophysiology and Regenerative Medicine, the Bruce Rappaport Faculty of Medicine, Technion — Israel Institute of Technology, POB 9649
Leonid Maizels: Sohnis Family Research Laboratory for Cardiac Electrophysiology and Regenerative Medicine, the Bruce Rappaport Faculty of Medicine, Technion — Israel Institute of Technology, POB 9649
Irit Huber: Sohnis Family Research Laboratory for Cardiac Electrophysiology and Regenerative Medicine, the Bruce Rappaport Faculty of Medicine, Technion — Israel Institute of Technology, POB 9649
Limor Zwi-Dantsis: Sohnis Family Research Laboratory for Cardiac Electrophysiology and Regenerative Medicine, the Bruce Rappaport Faculty of Medicine, Technion — Israel Institute of Technology, POB 9649
Oren Caspi: Sohnis Family Research Laboratory for Cardiac Electrophysiology and Regenerative Medicine, the Bruce Rappaport Faculty of Medicine, Technion — Israel Institute of Technology, POB 9649
Aaron Winterstern: Sohnis Family Research Laboratory for Cardiac Electrophysiology and Regenerative Medicine, the Bruce Rappaport Faculty of Medicine, Technion — Israel Institute of Technology, POB 9649
Oren Feldman: Sohnis Family Research Laboratory for Cardiac Electrophysiology and Regenerative Medicine, the Bruce Rappaport Faculty of Medicine, Technion — Israel Institute of Technology, POB 9649
Amira Gepstein: Sohnis Family Research Laboratory for Cardiac Electrophysiology and Regenerative Medicine, the Bruce Rappaport Faculty of Medicine, Technion — Israel Institute of Technology, POB 9649
Gil Arbel: Sohnis Family Research Laboratory for Cardiac Electrophysiology and Regenerative Medicine, the Bruce Rappaport Faculty of Medicine, Technion — Israel Institute of Technology, POB 9649
Haim Hammerman: Rambam Medical Center, the Bruce Rappaport Faculty of Medicine, Technion — Israel Institute of Technology, POB 9649
Monther Boulos: Rambam Medical Center, the Bruce Rappaport Faculty of Medicine, Technion — Israel Institute of Technology, POB 9649
Lior Gepstein: Sohnis Family Research Laboratory for Cardiac Electrophysiology and Regenerative Medicine, the Bruce Rappaport Faculty of Medicine, Technion — Israel Institute of Technology, POB 9649

Nature, 2011, vol. 471, issue 7337, 225-229

Abstract: Stem-cell model for long QT Long QT syndrome (LQTS) is a life-threatening congenital condition characterized by cardiac arrhythmias and sudden cardiac death. A model for LQTS type 2, which is caused by a mutation in the potassium-channel-encoding KCNH2 gene, has now been developed using induced pluripotent stem-cell technology to generate cardiomyocytes from the fibroblasts of an individual diagnosed with the syndrome. The resulting cells were used to screen a variety of drugs for either amelioration or aggravation of the disease phenotype, demonstrating the power of this approach for drug development and for patient-specific safety screening.

Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/nature09747 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:471:y:2011:i:7337:d:10.1038_nature09747

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/nature09747

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().