Structures of human TR4LBD-JAZF1 and TR4DBD-DNA complexes reveal the molecular basis of transcriptional regulation.
Yunlong LiuLulu MaMin LiZizi TianMeiting YangXi WuXue WangGuohui ShangMengjia XieYiyun ChenXin LiuLun JiangWei WuChaoqun XuLiqun XiaGonghui LiShaodong DaiZhongzhou ChenPublished in: Nucleic acids research (2023)
Testicular nuclear receptor 4 (TR4) modulates the transcriptional activation of genes and plays important roles in many diseases. The regulation of TR4 on target genes involves direct interactions with DNA molecules via the DNA-binding domain (DBD) and recruitment of coregulators by the ligand-binding domain (LBD). However, their regulatory mechanisms are unclear. Here, we report high-resolution crystal structures of TR4DBD, TR4DBD-DNA complexes and the TR4LBD-JAZF1 complex. For DNA recognition, multiple factors come into play, and a specific mutual selectivity between TR4 and target genes is found. The coactivators SRC-1 and CREBBP can bind at the interface of TR4 originally occupied by the TR4 activation function region 2 (AF-2); however, JAZF1 suppresses the binding through a novel mechanism. JAZF1 binds to an unidentified surface of TR4 and stabilizes an α13 helix never reported in the nuclear receptor family. Moreover, the cancer-associated mutations affect the interactions and the transcriptional activation of TR4 in vitro and in vivo, respectively. Overall, our results highlight the crucial role of DNA recognition and a novel mechanism of how JAZF1 reinforces the autorepressed conformation and influences the transcriptional activation of TR4, laying out important structural bases for drug design for a variety of diseases, including diabetes and cancers.
Keyphrases
- dna binding
- circulating tumor
- high resolution
- transcription factor
- single molecule
- cell free
- gene expression
- cardiovascular disease
- signaling pathway
- endothelial cells
- adipose tissue
- oxidative stress
- atrial fibrillation
- dna methylation
- metabolic syndrome
- nucleic acid
- skeletal muscle
- single cell
- molecular dynamics simulations
- pluripotent stem cells