98%
921
2 minutes
20
HIV-1 integration into host chromosomes, essential for viral replication, is catalysed by viral integrase (IN). IN recurrently targets intronic regions of transcriptionally active genes, but a detailed understanding of this process is still unclear. Here, using ex vivo activated human primary CD4T cells, we find that genomic RNA:DNA hybrids (R-loops) preferentially map to intronic regions of active genes that are typical HIV-1 integration sites. IN binds R-loops and their resolution enhances viral integration in vitro. We identify Aquarius (AQR), the splicing RNA helicase of the pentameric intron binding complex (IBC), which associates with IN and show that its RNA:DNA helicase activity promotes integration into hybrid substrates in vitro. Knockout of AQR in primary CD4 T cells impaired overall integration efficiency, while sequencing of remaining integrations mapped them to intergenic and R-loop distal regions. These findings may have important implications for HIV-1 latency and reactivation and may thus identify novel therapeutic targets.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1038/s41564-025-02089-2 | DOI Listing |
Sci Signal
September 2025
Department of Pathology, Microbiology and Immunology, New York Medical College, Valhalla, NY, USA.
Replication of HIV-1 requires the coordinated action of host and viral transcription factors, most critically the viral transactivator Tat and the host nuclear factor κB (NF-κB). This activity is disrupted in infected cells that are cultured with extracellular vesicles (EVs) present in human semen, suggesting that they contain factors that could inform the development of new therapeutics. Here, we explored the contents of semen-derived EVs (SEVs) from uninfected donors and individuals with HIV-1 and identified host proteins that interacted with HIV Tat and the NF-κB subunit p65.
View Article and Find Full Text PDFMed Sci (Paris)
September 2025
CIRI, Centre international de recherche en infectiologie Université de Lyon, Inserm U1111, Université Claude Bernard Lyon 1, CNRS UMR5308, ENS de Lyon, Lyon, France.
The accumulated knowledge on the biology of the HIV-1 virus has led to the emergence of technologies that exploit the architecture of retroviruses and their integration or vectorization properties. This field of study constitutes retroviral vectorology, democratized in laboratories by the use of lentiviral vectors. By hijacking retroviral assembly, other systems are emerging and are increasingly mentioned in recent literature.
View Article and Find Full Text PDFAnal Chim Acta
November 2025
HIV-1 Molecular Epidemiology Laboratory, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Microbiology Department, Hospital Universitario Ramón y Cajal, CIBER en Epidemiología y Salud Pública (CIBERESP), Madrid, 28034, Spain. Electronic address:
Background: Currently, 39.9 million people are infected with the human immunodeficiency virus (HIV), and 1.3 million new infections occur annually, with over 170 circulating variants.
View Article and Find Full Text PDFJ Pharm Pract
September 2025
UMass Memorial Health and UMass Chan Medical School, Worcester, MA, USA.
PurposeThis study assessed the impact of an integrated health system specialty pharmacy (HSSP) on viral load (VL) suppression in HIV patients, compared to patients utilizing non-health system specialty pharmacies (non-HSSPs).MethodsThis was a single-center, retrospective observational cohort study of patients ≥18 years with a HIV diagnosis and an encounter in the outpatient HIV clinic at an academic medical center associated with a HSSP, at least one order for an antiretroviral (ARV) medication, and at least one HIV-1 RNA VL result between January 2018 and May 2022. Outcomes included average rate of VL suppression and socio-demographic factors associated with VL suppression.
View Article and Find Full Text PDFProteins
September 2025
Genome Center, University of California, Davis, California, USA.
Accurate biomolecular structure prediction enables the prediction of mutational effects, the speculation of function based on predicted structural homology, the analysis of ligand binding modes, experimental model building, and many other applications. Such algorithms to predict essential functional and structural features remain out of reach for biomolecular complexes containing nucleic acids. Here, we report a quantitative and qualitative evaluation of nucleic acid structures for the CASP16 blind prediction challenge by 12 of the experimental groups who provided nucleic acid targets.
View Article and Find Full Text PDF