Host-encoded CTCF regulates human cytomegalovirus latency via chromatin looping.
Ian J GrovesStephen M MatthewsChristine M O'ConnorPublished in: Proceedings of the National Academy of Sciences of the United States of America (2024)
Human cytomegalovirus (HCMV) is a prevalent pathogen that establishes life-long latent infection in hematopoietic cells. While this infection is usually asymptomatic, immune dysregulation leads to viral reactivation, which can cause significant morbidity and mortality. However, the mechanisms underpinning reactivation remain incompletely understood. The HCMV major immediate early promoter (MIEP)/enhancer is a key factor in this process, as its transactivation from a repressed to active state helps drive viral gene transcription necessary for reactivation from latency. Numerous host transcription factors bind the MIE locus and recruit repressive chromatin modifiers, thus impeding virus reactivation. One such factor is CCCTC-binding protein (CTCF), a highly conserved host zinc finger protein that mediates chromatin conformation and nuclear architecture. However, the mechanisms by which CTCF contributes to HCMV latency were previously unexplored. Here, we confirm that CTCF binds two convergent sites within the MIE locus during latency in primary CD14 + monocytes, and following cellular differentiation, CTCF association is lost as the virus reactivates. While mutation of the MIE enhancer CTCF binding site does not impact viral lytic growth in fibroblasts, this mutant virus fails to maintain latency in myeloid cells. Furthermore, we show the two convergent CTCF binding sites allow looping to occur across the MIEP, supporting transcriptional repression during latency. Indeed, looping between the two sites diminishes during virus reactivation, concurrent with activation of MIE transcription. Taken together, our data reveal that three-dimensional chromatin looping aids in the regulation of HCMV latency and provides insight into promoter/enhancer regulation that may prove broadly applicable across biological systems.
Keyphrases
- transcription factor
- binding protein
- genome wide identification
- dna binding
- induced apoptosis
- endothelial cells
- gene expression
- genome wide
- sars cov
- dna methylation
- bone marrow
- cell cycle arrest
- dna damage
- dendritic cells
- oxidative stress
- induced pluripotent stem cells
- molecular dynamics simulations
- immune response
- diffuse large b cell lymphoma
- single cell
- disease virus
- cell proliferation
- electronic health record
- candida albicans
- locally advanced
- big data
- acute myeloid leukemia
- extracellular matrix
- data analysis
- heat stress