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A novel heterozygous missense variant of the ARID4A gene identified in Han Chinese families with schizophrenia-diagnosed siblings that interferes with DNA-binding activity.

Decheng RenXiaoxi WeiLin LinFan YuanYan BiZhenming GuoLiangjie LiuLei JiXiao YangKe HanFengping YangXi WuXingwang LiZhenghui YiYifeng XuChangqun CaiPeng WangWeidong LiLin HeDaizhan ZhouTao YuYi ShiQing LuGuang He
Published in: Molecular psychiatry (2022)
ARID4A plays an important role in regulating gene expression and cell proliferation. ARID4A belongs to the AT-rich interaction domain (ARID)-containing family, and a PWWP domain immediately precedes its ARID region. The molecular mechanism and structural basis of ARID4A are largely unknown. Whole-exome sequencing (WES) revealed that a novel heterozygous missense variant, ARID4A c.1231 C > G (p.His411Asp), was associated with schizophrenia (SCZ) in this study. We determined the crystal structure of the PWWP-ARID tandem at 2.05 Å, revealing an unexpected mode in which ARID4A assembles with its PWWP and ARID from a structural and functional supramodule. Our results further showed that compared with the wild type, the p.His411Asp ARID mutant protein adopts a less compact conformation and exhibits a weaker dsDNA-binding ability. The p.His411Asp mutation decreased the number of cells that were arrested in the G0-G1 phase and caused more cells to progress to the G2-M phase. In addition, the missense mutation promoted the proliferation of HEK293T cells. In conclusion, our data provide evidence that ARID4A p.His411Asp could cause a conformational change in the ARID4A ARID domain, influence the DNA binding function, and subsequently disturb the cell cycle arrest in the G1 phase. ARID4A is likely a susceptibility gene for SCZ; thus, these findings provide new insight into the role of ARID4A in psychiatric disorders.
Keyphrases
  • dna binding
  • cell cycle arrest
  • gene expression
  • cell proliferation
  • cell death
  • bipolar disorder
  • induced apoptosis
  • intellectual disability
  • dna methylation
  • single cell
  • big data
  • deep learning
  • single molecule