Targeting the NFAT:AP-1 transcriptional complex on DNA with a small-molecule inhibitor.
Giuliana P MognolEdahí González-AvalosSrimoyee GhoshPhilip Lsm GordtsAparna GudlurAnjana RaoRobert DamoiseauxPatrick G HoganPublished in: Proceedings of the National Academy of Sciences of the United States of America (2019)
The transcription factor nuclear factor of activated T cells (NFAT) has a key role in both T cell activation and tolerance and has emerged as an important target of immune modulation. NFAT directs the effector arm of the immune response in the presence of activator protein-1 (AP-1), and T cell anergy/exhaustion in the absence of AP-1. Envisioning a strategy for selective modulation of the immune response, we designed a FRET-based high-throughput screen to identify compounds that disrupt the NFAT:AP-1:DNA complex. We screened ∼202,000 small organic compounds and identified 337 candidate inhibitors. We focus here on one compound, N-(3-acetamidophenyl)-2-[5-(1H-benzimidazol-2-yl)pyridin-2-yl]sulfanylacetamide (Compound 10), which disrupts the NFAT:AP-1 interaction at the composite antigen-receptor response element-2 site without affecting the binding of NFAT or AP-1 alone to DNA. Compound 10 binds to DNA in a sequence-selective manner and inhibits the transcription of the Il2 gene and several other cyclosporin A-sensitive cytokine genes important for the effector immune response. This study provides proof-of-concept that small molecules can inhibit the assembly of specific DNA-protein complexes, and opens a potential new approach to treat human diseases where known transcription factors are deregulated.
Keyphrases
- transcription factor
- nuclear factor
- toll like receptor
- immune response
- circulating tumor
- single molecule
- genome wide identification
- dna binding
- cell free
- high throughput
- small molecule
- dendritic cells
- nucleic acid
- endothelial cells
- copy number
- binding protein
- circulating tumor cells
- living cells
- regulatory t cells
- amino acid
- risk assessment
- genome wide
- human health
- cancer therapy
- bioinformatics analysis