The Impact of Lens Epithelium-Derived Growth Factor p75 Dimerization on Its Tethering Function.
Tine BrounsVanda LuxSiska Van BelleFrauke ChristVaclav VeverkaZeger DebyserPublished in: Cells (2024)
The transcriptional co-activator lens epithelium-derived growth factor/p75 (LEDGF/p75) plays an important role in the biology of the cell and in several human diseases, including MLL-rearranged acute leukemia, autoimmunity, and HIV-1 infection. In both health and disease, LEDGF/p75 functions as a chromatin tether that interacts with proteins such as MLL1 and HIV-1 integrase via its integrase-binding domain (IBD) and with chromatin through its N-terminal PWWP domain. Recently, dimerization of LEDGF/p75 was shown, mediated by a network of electrostatic contacts between amino acids from the IBD and the C-terminal α 6 -helix. Here, we investigated the functional impact of LEDGF/p75 variants on the dimerization using biochemical and cellular interaction assays. The data demonstrate that the C-terminal α 6 -helix folds back in cis on the IBD of monomeric LEDGF/p75. We discovered that the presence of DNA stimulates LEDGF/p75 dimerization. LEDGF/p75 dimerization enhances binding to MLL1 but not to HIV-1 integrase, a finding that was observed in vitro and validated in cell culture. Whereas HIV-1 replication was not dependent on LEDGF/p75 dimerization, colony formation of MLLr-dependent human leukemic THP-1 cells was. In conclusion, our data indicate that intricate changes in the quaternary structure of LEDGF/p75 modulate its tethering function.
Keyphrases
- growth factor
- antiretroviral therapy
- hiv infected
- hiv positive
- acute myeloid leukemia
- human immunodeficiency virus
- hepatitis c virus
- endothelial cells
- hiv testing
- hiv aids
- gene expression
- transcription factor
- public health
- dna damage
- healthcare
- electronic health record
- amino acid
- induced apoptosis
- mental health
- stem cells
- mesenchymal stem cells
- copy number
- big data
- induced pluripotent stem cells
- cell therapy
- immune response
- ulcerative colitis
- machine learning
- inflammatory response
- single molecule
- toll like receptor
- pluripotent stem cells