A missense SNP in the tumor suppressor SETD2 reduces H3K36me3 and mitotic spindle integrity in Drosophila.
Jovan S BrockettTad ManaloHala Zein-SabattoJina LeeJunnan FangPhilip ChuHarry FengDattatraya PatilPriscilla DavidsonKenneth OganViraj A MasterJohn G PattarasDavid L RobertsSharon H BergquistMatthew A ReynaJohn A PetrosDorothy A LeritRebecca S ArnoldPublished in: Genetics (2024)
Mutations in SETD2 are among the most prevalent drivers of renal cell carcinoma (RCC). We identified a novel single nucleotide polymorphism (SNP) in SETD2, E902Q, within a subset of RCC patients, which manifests as both an inherited or tumor-associated somatic mutation. To determine if the SNP is biologically functional, we used CRISPR-based genome editing to generate the orthologous mutation within the Drosophila melanogaster Set2 gene. In Drosophila, the homologous amino acid substitution, E741Q, reduces H3K36me3 levels comparable to Set2 knockdown, and this loss is rescued by reintroduction of a wild-type Set2 transgene. We similarly uncovered significant defects in spindle morphogenesis, consistent with the established role of SETD2 in methylating α-Tubulin during mitosis to regulate microtubule dynamics and maintain genome stability. These data indicate the Set2 E741Q SNP affects both histone methylation and spindle integrity. Moreover, this work further suggests the SETD2 E902Q SNP may hold clinical relevance.
Keyphrases
- genome wide
- dna methylation
- renal cell carcinoma
- genome editing
- copy number
- crispr cas
- drosophila melanogaster
- wild type
- end stage renal disease
- high density
- amino acid
- ejection fraction
- newly diagnosed
- gene expression
- chronic kidney disease
- prognostic factors
- machine learning
- dna repair
- intellectual disability
- autism spectrum disorder
- oxidative stress
- big data
- peritoneal dialysis
- genetic diversity
- patient reported outcomes
- artificial intelligence