The sequestration of miR-642a-3p by a complex formed by HIV-1 Gag and human Dicer increases AFF4 expression and viral production
Alpuche-Lazcano, S. P.; Dunkley, O. R.; Scarborough, R. J.; Daniels, S. M.; Daher, A.; Truchi, M.; Estable, M. C.; Mari, B.; J. Mouland, A.; Gatignol, A.
Show abstract
Micro (mi)RNAs are critical regulators of gene expression in human cells, the functions of which can be affected during viral replication. Here, we show that the human immunodeficiency virus type 1 (HIV-1) structural precursor Gag protein interacts with the miRNA processing enzyme Dicer. RNA immunoprecipitation and sequencing experiments show that Gag modifies the retention of a specific miRNA subset without affecting Dicers pre- miRNA processing activity. Among the retained miRNAs, miR-642a-3p shows an enhanced occupancy on Dicer in the presence of Gag and is predicted to target AFF4 mRNA, which encodes an essential scaffold protein for HIV-1 transcriptional elongation. miR-642a-3p gain- or loss-of-function negatively or positively regulates AFF4 protein expression at mRNA and protein levels with concomitant modulations of HIV-1 production, consistent with an antiviral activity. By sequestering miR-642a-3p with Dicer, Gag enhances AFF4 expression and HIV- 1 production without affecting miR-642a-3p levels. These results identify miR-642a-3p as a strong suppressor of HIV-1 replication and uncover a novel mechanism by which a viral structural protein directly disrupts an miRNA function for the benefit of its own replication. IMPORTANCEVirus-host relationships occur at different levels and the human immunodeficiency virus type 1 (HIV-1) can modify the expression of microRNAs in different cells. Here, we identify a virus- host interaction between the HIV-1 structural protein Gag and the miRNA-processing enzyme Dicer. Gag does not affect the microRNA processing function of Dicer but affects the functionality of a subset of microRNAs that are enriched on the Dicer-Gag complex compared to on Dicer alone. We show that miR-642a-3p, the most enriched microRNA on the Dicer- Gag complex targets and degrades AFF4 mRNA coding for a protein from the super transcription elongation complex, essential for HIV-1 and cellular transcription. Interestingly, the silencing capacity by miR-642a-3p is hindered by Gag and heightened in its absence, consequently affecting HIV-1 transcription. These findings unveil a new paradigm that a microRNA function rather than its abundance can be affected by a viral protein through its enhanced retention on Dicer.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- CD169-mediated restrictive SARS-CoV-2 infection of macrophages induces pro-inflammatory responses 96%
- SARS-CoV-2 nucleocapsid protein inhibits the PKR-mediated integrated stress response through RNA-binding domain N2b 96%
- Nuclear dengue virus NS5 antagonizes expression of PAF1-dependent immune response genes 96%
Similar papers in this journal
- Th17 cell master transcription factor RORC2 regulates HIV-1 gene expression and viral outgrowth 96%
- Post-transcriptional regulation of human endogenous retroviruses by RNA-Binding Motif Protein 4, RBM4 96%
- Nuclear Speckles are Regulatory Hubs for Viral and Host mRNA Expression During HSV-1 Infection 96%
Similar papers in this journal
- Human immunodeficiency virus-1 induces host genomic R-loop and preferentially integrates its genome near the R-loop regions 97%
- Cap-independent co-expression of dsRNA-sensing and NF-κB pathway inhibitors enables tunable self-amplifying RNA expression with reduced immunotoxicity 96%
- Full assembly of HIV-1 particles requires assistance of the membrane curvature factor IRSp53. 96%
Similar papers in this journal
- HIV-1 accessory protein Vpr interacts with REAF and mitigates its associated antiviral 1 activity. 97%
- Natural Occurring Non-Synonymous Single Nucleotide Polymorphisms in Integrase and RNase H Regulate Assembly and Autoprocessing of HIV-1 96%
- Deciphering lentiviral Vpr/Vpx determinants required for HUSH and SAMHD1 antagonism highlights the molecular plasticity of these evolutionary conflicts 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.