Dataset Information

Phenotype-Based High-Throughput Classification of Long QT Syndrome Subtypes Using Human Induced Pluripotent Stem Cells.

ABSTRACT: For long QT syndrome (LQTS), recent progress in genome-sequencing technologies enabled the identification of rare genomic variants with diagnostic, prognostic, and therapeutic implications. However, pathogenic stratification of the identified variants remains challenging, especially in variants of uncertain significance. This study aimed to propose a phenotypic cell-based diagnostic assay for identifying LQTS to recognize pathogenic variants in a high-throughput manner suitable for screening. We investigated the response of LQT2-induced pluripotent stem cell (iPSC)-derived cardiomyocytes (iPSC-CMs) following I_Kr blockade using a multi-electrode array, finding that the response to I_Kr blockade was significantly smaller than in Control-iPSC-CMs. Furthermore, we found that LQT1-iPSC-CMs and LQT3-iPSC-CMs could be distinguished from Control-iPSC-CMs by I_Ks blockade and I_Na blockade, respectively. This strategy might be helpful in compensating for the shortcomings of genetic testing of LQTS patients.

SUBMITTER: Yoshinaga D

PROVIDER: S-EPMC6700479 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Phenotype-Based High-Throughput Classification of Long QT Syndrome Subtypes Using Human Induced Pluripotent Stem Cells.

Yoshinaga Daisuke D Baba Shiro S Makiyama Takeru T Shibata Hirofumi H Hirata Takuya T Akagi Kentaro K Matsuda Koichi K Kohjitani Hirohiko H Wuriyanghai Yimin Y Umeda Katsutsugu K Yamamoto Yuta Y Conklin Bruce R BR Horie Minoru M Takita Junko J Heike Toshio T

Stem cell reports 20190801 2

For long QT syndrome (LQTS), recent progress in genome-sequencing technologies enabled the identification of rare genomic variants with diagnostic, prognostic, and therapeutic implications. However, pathogenic stratification of the identified variants remains challenging, especially in variants of uncertain significance. This study aimed to propose a phenotypic cell-based diagnostic assay for identifying LQTS to recognize pathogenic variants in a high-throughput manner suitable for screening. We ...[more]

PMID: 31378668

Dataset Information

Phenotype-Based High-Throughput Classification of Long QT Syndrome Subtypes Using Human Induced Pluripotent Stem Cells.

Publications

Phenotype-Based High-Throughput Classification of Long QT Syndrome Subtypes Using Human Induced Pluripotent Stem Cells.

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