Mechanism of host cell MAPK/ERK-2 incorporation into lentivirus particles: characterization of the interaction between MAPK/ERK-2 and proline-rich-domain containing capsid region of structural protein Gag

How HIV-1 Gag Manipulates Its Host Cell Proteins: A Focus on Interactors of the Nucleocapsid Domain

The human immunodeficiency virus (HIV-1) polyprotein Gag (Group-specific antigen) plays a central role in controlling the late phase of the viral lifecycle. Considered to be only a scaffolding protein for a long time, the structural protein Gag plays determinate and specific roles in HIV-1 replication. Indeed, via its different domains, Gag orchestrates the specific encapsidation of the genomic RNA, drives the formation of the viral particle by its auto-assembly (multimerization), binds multiple viral proteins, and interacts with a large number of cellular proteins that are needed for its functions from its translation location to the plasma membrane, where newly formed virions are released. Here, we review the interactions between HIV-1 Gag and 66 cellular proteins. Notably, we describe the techniques used to evidence these interactions, the different domains of Gag involved, and the implications of these interactions in the HIV-1 replication cycle. In the final part, we focus on the interactions involving the highly conserved nucleocapsid (NC) domain of Gag and detail the functions of the NC interactants along the viral lifecycle.

Viral protein X unlocks the nuclear pore complex through a human Nup153-dependent pathway to promote nuclear translocation of the lentiviral genome

Simian immunodeficiency virus (SIV) and human immunodeficiency virus 2 (HIV-2) display unique ability to infect nondividing target cells. Viral protein X (Vpx) of HIV-2/SIV is known to be involved in the nuclear import of viral genome in nondividing cells, but the mechanism remains poorly understood. In the present investigation for the first time we provide evidence that Vpx of SIV_smPBj1.9 physically interacts with human nucleoporin 153 (Nup153), which is known to provide a docking site for protein-cargo complexes at the nuclear pore complex (NPC). Results from superresolution-structured illumination microscopy studies reveal that Vpx interaction with NPC-associated Nup153 is critical for its efficient nuclear translocation. Virion-associated MAPK/ERK-2-mediated phosphorylation of Vpx plays a critical role in its interaction with human Nup153 and this interaction was found to be evolutionarily conserved in various SIV isolates and HIV-2. Interestingly, MAPK/ERK-2 packaging defective SIV failed to promote the efficient nuclear import of viral genome and suggests that MAPK/ERK-2-mediated Vpx phosphorylation is important for its interaction with Nup153, which is critical for lentiviruses to establish infection in nondividing target cells. Together, our data elucidate the mechanism by which Vpx orchestrates the challenging task of nuclear translocation of HIV-2/SIV genome in nondividing target cells.

Trametinib suppresses HIV-1 replication by interfering with the disassembly of human immunodeficiency virus type 1 capsid core

Our previous study showed that the phosphorylation of a highly conserved serine residue, Ser¹⁶ in the human immunodeficiency virus type 1 (HIV-1) capsid (CA) protein is promoted by virion-incorporated extracellular signal-regulated kinase 2 (ERK2) and required for proper peptidyl-prolyl isomerase (Pin1)-mediated uncoating. Interestingly, western blot analysis demonstrated that phosphorylated/activated mitogen-activated protein kinase kinase 1/2 (MEK1/2), the upstream activator of ERK2, as well as ERK2 are incorporated into virions. Here, we show that the MEK1/2 selective allosteric inhibitor Trametinib reduces HIV-1 infectivity via the decrease in virion-incorporated ERK2 phosphorylation. The treatment of chronic HIV-1-infected T-cell line, CEM/LAV-1 cells with Trametinib results in a decrease in ERK2 phosphorylation in the virions. The viruses have relatively low infectivity and impaired reverse transcription. Cell-based fate-of-capsid uncoating assay showed that the reduction in infectivity was caused by a functional impairment of the uncoating process. Furthermore, the viruses from Trametinib-treated CEM/LAV-1 cells also showed decreased reverse transcription efficiency and attenuated multiple rounds of replication in human peripheral blood mononuclear cells (PBMCs). Taken together, these findings suggest that Trametinib suppresses HIV-1 replication by abrogating the proper disassembly of CA core.

Differences in Activation of HIV-1 Replication by Superinfection With HIV-1 and HIV-2 in U1 Cells

Macrophages contribute to HIV-1 pathogenesis by forming a viral reservoir that serve as a viral source for the infection of CD4 T cells. The relationship between HIV-1 latent infection and superinfection in macrophages has not been well studied. Using susceptible U1 cells chronically infected with HIV-1, we studied the effects of HIV superinfection on latency and differences in superinfection with HIV-1 and HIV-2 in macrophages. We found that HIV-1 (MN) superinfection displayed increased HIV-1 replication in a time-dependent manner; while cells infected with HIV-2 (Rod) initially showed increased HIV-1 replication, followed by a decrease in HIV-1 RNA production. HIV-1 superinfection upregulated/activated NF-ĸB, NFAT, AP-1, SP-1, and MAPK Erk through expression/activation of molecules, CD4, CD3, TCRβ, Zap-70, PLCγ1, and PKCΘ in T cell receptor-related signaling pathways; while HIV-2 superinfection initially increased expression/activation of these molecules followed by decreased protein expression/activation. HIV superinfection initially downregulated HDAC1 and upregulated acetyl-histone H3 and histone H3 (K4), while HIV-2 superinfection demonstrated an increase in HDAC1 and a decrease in acetyl-histone H3 and histone H3 (K4) relative to HIV-1 superinfection. U1 cells superinfected with HIV-1 or HIV-2 showed differential expression of proteins, IL-2, PARP-1, YB-1, and LysRS. These findings indicate that superinfection with HIV-1 or HIV-2 has different effects on reactivation of HIV-1 replication. HIV-1 superinfection with high load of viral replication may result in high levels of cytotoxicity relative to HIV-2 superinfection. Cells infected with HIV-2 showed lower level of HIV-1 replication, suggesting that co-infection with HIV-2 may result in slower progression toward AIDS. J. Cell. Physiol. 232: 1746-1753, 2017. © 2016 Wiley Periodicals, Inc.

Some findings of FADD knockdown in inhibition of HIV-1 replication in Jurkat cells and PBMCs

Fas-associated protein with death domain (FADD) is a key adaptor molecule transmitting the death signal mediated by death receptors, and it is also required for T cell proliferation. A recent study indicated that FADD is able to affect HIV-1 production, but the mechanism is not known. Using the susceptible Jurkat cell line and peripheral blood mononuclear cells, we studied the effects of FADD on HIV-1 production. TaqMan RT-PCR was used to quantify HIV-1 viral RNA copies, and Western blot analysis was used to detect protein expression. FADD knockdown decreased HIV-1 replication and inactivated caspase-3 activity in the cells and blocked CD4 translocation to the lipid rafts of the plasma membrane. Reduced expression of FADD suppressed TCR signaling through downregulation of TCR, CD3, and Zap-70 in response to HIV-1 infection and blocked the trafficking of TCR, CD3, CD28, and Zap-70 to lipid rafts, leading to reduced activation of NF-κB and NFAT, which are required for HIV-1 replication. FADD knockdown diminished caspase-8 migration to lipid rafts and its expression in response to HIV-1 infection. These results indicate that FADD, as a host pro-apoptotic protein, plays important roles in regulating HIV-1 replication and production in several ways, and apoptotic pathway inhibition is able to decrease HIV-1 replication and production.

Gene expression analysis of a panel of cell lines that differentially restrict HIV-1 CA mutants infection in a cyclophilin a-dependent manner

HIV-1 replication is dependent on binding of the viral capsid to the host protein cyclophilin A (CypA). Interference with cyclophilin A binding, either by mutations in the HIV-1 capsid protein (CA) or by the drug cyclosporine A (CsA), inhibits HIV-1 replication in cell culture. Resistance to CsA is conferred by A92E or G94D substitutions in CA. The mutant viruses are also dependent on CsA for their replication. Interestingly, infection of some cell lines by these mutants is enhanced by CsA, while infection of others is not affected by the drug. The cells are thus termed nonpermissive and permissive, respectively, for infection by CsA-dependent mutants. The mechanistic basis for the cell type dependence is not well understood, but has been hypothesized to result from a dominant-acting host factor that blocks HIV-1 infection by a mechanism that requires CypA binding to the viral capsid. In an effort to identify a CypA-dependent host restriction factor, we adopted a strategy involving comparative gene expression analysis in three permissive and three non-permissive cell types. We ranked the genes based on their relative overexpression in non-permissive cell types compared to the permissive cell types. Based on specific selection criteria, 26 candidate genes were selected and targeted using siRNA in nonpermissive (HeLa) cells. Depletion of none of the selected candidate genes led to the reversal of CsA-dependent phenotype of the A92E mutant. Our data suggest that none of the 26 genes tested is responsible for the dependence of the A92E mutant on CsA. Our study provides gene expression data that may be useful for future efforts to identify the putative CypA-dependent HIV-1 restriction factor and in studies of other cell-specific phenotypes.

Phosphorylation of human immunodeficiency virus type 1 capsid protein at serine 16, required for peptidyl-prolyl isomerase-dependent uncoating, is mediated by virion-incorporated extracellular signal-regulated kinase 2

We reported previously that Pin1 facilitates human immunodeficiency virus type 1 (HIV-1) uncoating by interacting with the capsid core through the phosphorylated Ser(16)-Pro(17) motif. However, the specific kinase responsible for Ser(16) phosphorylation has remained unknown. Here, we showed that virion-associated extracellular signal-regulated kinase 2 (ERK2) phosphorylates Ser(16). The characterization of immature virions produced by exposing chronically HIV-1LAV-1-infected CEM/LAV-1 cells to 10 µM saquinavir indicated that Ser(16) is phosphorylated after the initiation of Pr55(Gag) processing. Furthermore, a mass spectrometry-based in vitro kinase assay demonstrated that ERK2 specifically phosphorylated the Ser(16) residue in the Ser(16)-Pro(17) motif-containing substrate. The treatment of CEM/LAV-1 cells with the ERK2 inhibitor sc-222229 decreased the Ser(16) phosphorylation level inside virions, and virus partially defective in Ser(16) phosphorylation showed impaired reverse transcription and attenuated replication owing to attenuated Pin1-dependent uncoating. Furthermore, the suppression of ERK2 expression by RNA interference in CEM/LAV-1 cells resulted in suppressed ERK2 packaging inside virions and decreased the Ser(16) phosphorylation level inside virions. Interestingly, the ERK2-packaging-defective virus showed impaired reverse transcription and attenuated HIV-1 replication. Taken together, these findings provide insights into the as-yet-obscure processes in Pin1-dependent HIV-1 uncoating.

Probability weighted ensemble transfer learning for predicting interactions between HIV-1 and human proteins

Reconstruction of host-pathogen protein interaction networks is of great significance to reveal the underlying microbic pathogenesis. However, the current experimentally-derived networks are generally small and should be augmented by computational methods for less-biased biological inference. From the point of view of computational modelling, data scarcity, data unavailability and negative data sampling are the three major problems for host-pathogen protein interaction networks reconstruction. In this work, we are motivated to address the three concerns and propose a probability weighted ensemble transfer learning model for HIV-human protein interaction prediction (PWEN-TLM), where support vector machine (SVM) is adopted as the individual classifier of the ensemble model. In the model, data scarcity and data unavailability are tackled by homolog knowledge transfer. The importance of homolog knowledge is measured by the ROC-AUC metric of the individual classifiers, whose outputs are probability weighted to yield the final decision. In addition, we further validate the assumption that only the homolog knowledge is sufficient to train a satisfactory model for host-pathogen protein interaction prediction. Thus the model is more robust against data unavailability with less demanding data constraint. As regards with negative data construction, experiments show that exclusiveness of subcellular co-localized proteins is unbiased and more reliable than random sampling. Last, we conduct analysis of overlapped predictions between our model and the existing models, and apply the model to novel host-pathogen PPIs recognition for further biological research.

Distinct roles for extracellular signal-regulated kinase 1 (ERK1) and ERK2 in the structure and production of a primate gammaherpesvirus

During their progression from intranuclear capsids to mature trilaminar virions, herpesviruses incorporate an extensive array of viral as well as a smaller subset of cellular proteins. Our laboratory previously reported that rhesus monkey rhadinovirus (RRV), a close homolog of the human pathogen Kaposi's sarcoma-associated herpesvirus (KSHV), is comprised of at least 33 different virally encoded proteins. In the current study, we found that RRV infection activated the extracellular signal-regulated kinase (ERK) pathway and nascent virions preferentially incorporated the activated form of ERK2 (pERK2) into the tegument. This was evident even in the face of greatly diminished stores of intracellular ERK2, suggesting a clear bias toward the incorporation of pERK2 into the RRV particle. Similar to earlier findings with KSHV, activation of ERK was essential for the production of lytic viral proteins and virions. Knockdown of intracellular ERK, however, failed to inhibit virus production, likely due to maintenance of residual pools of intracellular pERK2. Paradoxically, selective knockdown of ERK1 enhanced virion production nearly 5-fold and viral titers more than 10-fold. These data are the first to implicate ERK1 as a negative regulator of lytic replication in a herpesvirus and the first to demonstrate the incorporation of an activated signaling molecule within a herpesvirus. Together, the results further our understanding of how herpesviruses interact with host cells during infection and demonstrate how this family of viruses can exploit cellular signal transduction pathways to modulate their own replication.

A novel biclustering approach to association rule mining for predicting HIV-1-human protein interactions

Identification of potential viral-host protein interactions is a vital and useful approach towards development of new drugs targeting those interactions. In recent days, computational tools are being utilized for predicting viral-host interactions. Recently a database containing records of experimentally validated interactions between a set of HIV-1 proteins and a set of human proteins has been published. The problem of predicting new interactions based on this database is usually posed as a classification problem. However, posing the problem as a classification one suffers from the lack of biologically validated negative interactions. Therefore it will be beneficial to use the existing database for predicting new viral-host interactions without the need of negative samples. Motivated by this, in this article, the HIV-1–human protein interaction database has been analyzed using association rule mining. The main objective is to identify a set of association rules both among the HIV-1 proteins and among the human proteins, and use these rules for predicting new interactions. In this regard, a novel association rule mining technique based on biclustering has been proposed for discovering frequent closed itemsets followed by the association rules from the adjacency matrix of the HIV-1–human interaction network. Novel HIV-1–human interactions have been predicted based on the discovered association rules and tested for biological significance. For validation of the predicted new interactions, gene ontology-based and pathway-based studies have been performed. These studies show that the human proteins which are predicted to interact with a particular viral protein share many common biological activities. Moreover, literature survey has been used for validation purpose to identify some predicted interactions that are already validated experimentally but not present in the database. Comparison with other prediction methods is also discussed.

Cellular kinases incorporated into HIV-1 particles: passive or active passengers?

Phosphorylation is one of the major mechanisms by which the activities of protein factors can be regulated. Such regulation impacts multiple key-functions of mammalian cells, including signal transduction, nucleo-cytoplasmic shuttling, macromolecular complexes assembly, DNA binding and regulation of enzymatic activities to name a few. To ensure their capacities to replicate and propagate efficiently in their hosts, viruses may rely on the phosphorylation of viral proteins to assist diverse steps of their life cycle. It has been known for several decades that particles from diverse virus families contain some protein kinase activity. While large DNA viruses generally encode for viral kinases, RNA viruses and more precisely retroviruses have acquired the capacity to hijack the signaling machinery of the host cell and to embark cellular kinases when budding. Such property was demonstrated for HIV-1 more than a decade ago. This review summarizes the knowledge acquired in the field of HIV-1-associated kinases and discusses their possible function in the retroviral life cycle.