HIV-1 Vif protein is stabilized by AKT-mediated phosphorylation to enhance APOBEC3G degradation
Raja, R.; Wang, C.; Banerjea, A. C.
Show abstract
HIV-1 virus has to counter anti-viral restriction factors for its successful replication after its entry in the cell. The host-pathogen dynamics operate as soon as HIV-1 interacts with the cell. HIV-1 Vif has been known for its role in degradation of APOBEC3G; a cytosine deaminase which leads to hyper mutations in the viral DNA leading to aberrant viral replication. The cellular proteins regulating the intracellular HIV-1 Vif protein levels can have profound impact on HIV-1 pathogenesis. MDM2 is known to induce degradation of Vif with subsequent effects on APOBEC3G. Here, we have identified AKT/PKB as one of the crucial regulators of HIV-1 Vif protein. The rationale for selecting Vif as a target substrate for AKT was the presence of RMRINT motif in it, which is similar to the AKT phosphorylation motif RxRxxS/T. Immunoprecipitation assay and Kinase assay revealed that AKT and Vif interact strongly with each other and Vif is phosphorylated at T20 position by AKT. This phosphorylation stabilizes HIV-1 Vif while Vif mutant T20A degrades faster. Moreover, use of dominant negative form of AKT (KD-AKT) and AKT inhibitors were found to destabilise Vif and increase its K48-ubiquitination profile. The consequences of this AKT-Vif interplay were also validated on APOBEC3G degradation, a target of Vif. AKT inhibition was found to restore APOBEC3G levels. This process can be interpreted as a strategy used by virus to prevent MDM2 mediated Vif degradation; AKT stabilises Mdm2, which then targets Vif for degradation but at the same time AKT stabilises Vif by phosphorylating it. Thus, AKT mediated stabilization of Vif might compensate for its degradation by MDM2. This study can have significant implications as HIV-1 Tat protein and growth factors like insulin activate PI3-K/AKT Kinase pathway and can potentially affect Vif and APOBEC3G protein levels and hence HIV-1 pathogenesis.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Polyamine biosynthesis in Xenopus laevis: the gene xlAZIN2/xlODC2 encodes a lysine decarboxylase 93%
- Selection of Human Single Domain Antibodies (sdAb) Against Thymidine Kinase 1 and Their Incorporation Into sdAb-Fc Antibody Constructs For Potential Use In Cancer Therapy 93%
- A proteomic perspective and involvement of cytokines in SARS-CoV-2 infection 93%
Similar papers in this journal
- Identification of PCNA interacting protein motifs in human DNA polymerase delta 93%
- Possible Regulation of Toll-Like Receptor 4 By Lysine Acetylation Through LPCAT2 Activity in RAW264.7 Cells. 93%
- Glucose regulates expression of pro-inflammatory genes IL-1β and IL-12 through a mechanism involving hexosamine biosynthesis pathway dependent regulation of α-E catenin in the RAW 264.7 macrophage cell line 93%
Similar papers in this journal
- Establishment of murine hybridoma cells producing antibodies against spike protein of SARS-CoV-2 94%
- gp120 envelope glycoproteins of HIV-1 Group M Subtype A and Subtype B differentially affect gene expression in human vascular endothelial cells 93%
- Individual expression of hepatitis A virus 3C protease induces ferroptosis in human cells in vitro 93%
Similar papers in this journal
- Novel Peptide Inhibitor of Human Tumor Necrosis Factor-α has Antiarthritic Activity 92%
- Mitochondrial LonP1 protease is implicated in the degradation of unstable Parkinson disease-associated DJ-1/PARK 7 missense mutants. 92%
- Emergence of SARS-CoV-2 Omicron Variant JN.1 in Tamil Nadu, India - Clinical Characteristics and Novel Mutations 91%
Similar papers in this journal
- Genes for tRNA recycling are upregulated in response to infection with Theiler's mouse encephalitis virus 92%
- Anti-nucleolin aptamer, iSN04, inhibits the inflammatory responses in myoblasts by modulating the β-catenin/NF-κB signaling pathway 91%
- SARS-CoV-2 triggers DNA damage response in Vero E6 cells 91%
"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.