Unbiased Profiling of Isogenic Huntington Disease hPSC-Derived CNS and Peripheral Cells Reveals Strong Cell-Type Specificity of CAG Length Effects

Jolene Ooi(Agency for Science, Technology and Research), Sarah R. Langley(Nanyang Technological University), Xiaohong Xu(Agency for Science, Technology and Research), Kagistia Hana Utami(Agency for Science, Technology and Research), Bernice Sim(Agency for Science, Technology and Research), Yihui Huang(Agency for Science, Technology and Research), Nathan Harmston(Duke-NUS Medical School), Yi Lin Tay(Agency for Science, Technology and Research), Amin Ziaei(Agency for Science, Technology and Research), Ruizhu Zeng(Agency for Science, Technology and Research), Donovan Low(Agency for Science, Technology and Research), Folefac Aminkeng(Agency for Science, Technology and Research), Radoslaw M. Sobota(Agency for Science, Technology and Research), Florent Ginhoux(Agency for Science, Technology and Research), Enrico Petretto(Duke-NUS Medical School), Mahmoud A. Pouladi(Agency for Science, Technology and Research)
Cell Reports
February 1, 2019
Cited by 92Open Access
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Abstract

In Huntington disease (HD), the analysis of tissue-specific CAG repeat length effects has been challenging, given the difficulty in obtaining relevant patient tissues with a broad range of CAG repeat lengths. We used genome editing to generate an allelic panel of isogenic HD (IsoHD) human embryonic stem cell (hESC) lines carrying varying CAG repeat lengths in the first exon of HTT. Functional analyses in differentiated neural cells revealed CAG repeat length-related abnormalities in mitochondrial respiration and oxidative stress and enhanced susceptibility to DNA damage. To explore tissue-specific effects in HD, we differentiated the IsoHD panel into neural progenitor cells, neurons, hepatocytes, and muscle cells. Transcriptomic and proteomic analyses of the resultant cell types identified CAG repeat length-dependent and cell-type-specific molecular phenotypes. We anticipate that the IsoHD panel and transcriptomic and proteomic data will serve as a versatile, open-access platform to dissect the molecular factors contributing to HD pathogenesis.


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