bioRxivGeneticsPreprint
Synonymous HTT CAA/CCA-loss variants associated with early Huntington disease onset enhance toxicity beyond somatic instability
Glen Lester SequieraiD, Sophia C. GjervaniD, Ryan T. McCallumiD, Jia FengiD, Oguz K. OzgoreniD, Sofia BerghiD, Jocelyn BéginiD, Jessica DawsoniD, Hailey Findlay BlackiD, Chris KayiD, Tanushri Soomarooah, Larissa ArningiD, Indhu‐Shree Rajan‐BabuiD, A. Nazlı BaşakiD, Jiří KlempířiD, Huu Phuc NguyeniD, Åsa PeterséniD, Michael R. HaydeniD, Mahmoud A. PouladiiD
Abstract
Huntington disease is a fatal neurodegenerative disorder caused by CAG repeat expansion encoding polyglutamine in the HTT gene. Recent studies have shown that loss of CAA/CCA interruptions within polyglutamine-coding CAG tracts and adjacent polyproline-coding region are linked to earlier disease onset. It has been hypothesized that somatic repeat instability, influenced by these interrupted CAG tracts, may mediate this effect. Here we demonstrate that HTT CAA/CCA-loss variant linked to early disease onset exacerbates mutant HTT toxicity in cellular models through mechanisms independent of somatic repeat instability. The CAA/CCA-loss variant exhibits significantly higher toxicity than canonical HTT sequences in both transient expression and stable cell line models. Notably, this enhanced toxicity persists in knockout cells of the mismatch repair gene MSH3 where somatic instability is blunted, with a consistent toxicity hierarchy (CAA/CCA-loss > CCA-loss > CAA-loss > canonical HTT) in both wildtype and MSH3 knockout cells. Furthermore, the CAA/CCA-loss variant generates elevated levels of repeat-associated non-AUG (RAN) translation products. In HEK293-based cellular models, these results suggest that the disease-accelerating effects of HTT CAA/CCA-loss variants involve intrinsic properties of the altered sequence context, highlighting the importance of understanding sequence-specific mechanisms in HD pathogenesis beyond polyglutamine length and somatic instability.
- organism: human
- assay: proteomics
- research focus: differential expression
- research focus: cell type annotation
- research focus: gene regulatory network inference
- research focus: protein structure prediction
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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