Isolation of efficient antivirals: genetic suppressor elements against HIV-1

A screen for genetic suppressor elements of hepatitis C virus identifies a supercharged protein inhibitor of viral replication

Genetic suppressor elements (GSEs) are biomolecules derived from a gene or genome of interest that act as transdominant inhibitors of biological functions presumably by disruption of critical biological interfaces. We exploited a cell death reporter cell line for hepatitis C virus (HCV) infection, n4mBid, to develop an iterative selection/enrichment strategy for the identification of anti-HCV GSEs. Using this approach, a library of fragments of an HCV genome was screened for sequences that suppress HCV infection. A 244 amino acid gene fragment, B1, was strongly enriched after 5 rounds of selection. B1 derives from a single-base frameshift of the enhanced green fluorescent protein (eGFP) which was used as a filler during fragment cloning. B1 has a very high net positive charge of 43 at neutral pH and a high charge-to-mass (kDa) ratio of 1.5. We show that B1 expression specifically inhibits HCV replication. In addition, five highly positively charged B1 fragments produced from progressive truncation at the C-terminus all retain the ability to inhibit HCV, suggesting that a high positive charge, rather than a particular motif in B1, likely accounts for B1's anti-HCV activity. Another supercharged protein, +36GFP, was also found to strongly inhibit HCV replication when added to cells at the time of infection. This study reports a new methodology for HCV inhibitor screening and points to the anti-HCV potential of positively charged proteins/peptides.

Transdominant inhibition of bovine viral diarrhea virus entry

Bovine viral diarrhea virus (BVDV) is a positive-strand RNA virus and a member of the genus Pestivirus in the family Flaviviridae. To identify and characterize essential factors required for BVDV replication, a library expressing random fragments of the BVDV genome was screened for sequences that act as transdominant inhibitors of viral replication by conferring resistance to cytopathic BVDV-induced cell death. We isolated a BVDV-nonpermissive MDBK cell clone that harbored a 1.2-kb insertion spanning the carboxy terminus of the envelope glycoprotein 1 (E1), the envelope glycoprotein E2, and the amino terminus of p7. Confirming the resistance phenotype conferred by this library clone, naïve MDBK cells expressing this fragment were found to be 100- to 1,000-fold less permissive to both cytopathic and noncytopathic BVDV infection compared to parental MDBK cells, although these cells remained fully permissive to vesicular stomatitis virus. This restriction could be overcome by electroporation of BVDV RNA, indicating a block at one or more steps in viral entry prior to translation of the viral RNA. We determined that the E2 ectodomain was responsible for the inhibition to BVDV entry and that this block occurred downstream from BVDV interaction with the cellular receptor CD46 and virus binding, suggesting interference with a yet-unidentified BVDV entry factor.

Strategies to identify potential therapeutic target sites in RNA

Antisense agents are powerful tools to inhibit gene expression in a sequence-specific manner. They are used for functional genomics, as diagnostic tools and for therapeutic purposes. Three classes of antisense agents can be distinguished by their mode of action: single-stranded antisense oligodeoxynucleotides; catalytic active RNA/DNA such as ribozymes, DNA- or locked nucleic acid (LNA)zymes; and small interfering RNA molecules known as siRNA. The selection of target sites in highly structured RNA molecules is crucial for their successful application. This is a difficult task, since RNA is assembled into nucleoprotein complexes and forms stable secondary structures in vivo, rendering most of the molecule inaccessible to intermolecular base pairing with complementary nucleic acids. In this review, we discuss several selection strategies to identify potential target sites in RNA molecules. In particular, we focus on combinatorial library approaches that allow high throughput screening of sequences for the design of antisense agents.

Functional identification of kinases essential for T-cell activation through a genetic suppression screen

Activation of T-cells by antigens initiates a complex series of signal-transduction events that are critical for immune responses. While kinases are key mediators of signal transduction networks, several of which have been well characterized in T-cell activation, the functional roles of other kinases remain poorly defined. To address this deficiency, we developed a genetic screen to survey the functional roles of kinases in antigen mediated T-cell activation. A retroviral library was constructed that expressed genetic suppressor elements (GSEs) comprised of peptides and antisense nucleotides derived from kinase cDNAs including members of the STE, CAMK, AGC, CMGC, RGC, TK, TKL, Atypical, and Lipid kinase groups. The retroviral library was expressed in Jurkat T-cells and analyzed for their effect on T-cell activation as monitored by CD69 expression. Jurkat cells were activated by antigen presenting cells treated with superantigen, and sorted for a CD69 negative phenotype by flow cytometry. We identified 19 protein kinases that were previously implicated in T-cell signaling processes and 12 kinases that were not previously linked to T-cell activation. To further validate our approach, we characterized the role of the protein kinase MAP4K4 that was identified in the screen. siRNA studies showed a role for MAP4K4 in antigen mediated T-cell responses in Jurkat and primary T-cells. In addition, by analyzing multiple promoter elements using reporter assays, we have shown that MAP4K4 is implicated in the activation of the TNF-alpha promoter. Our results suggest that this methodology could be used to survey the function of the entire kinome in T-cell activation.

Identification of cell surface and secreted proteins essential for tumor cell survival using a genetic suppressor element screen

Survival factors play critical roles in regulating cell growth in normal and cancer cells. We designed a genetic screen to identify survival factors which protect tumor cells from apoptosis. A retroviral expression library of random cDNA fragments was constructed from cancer cells and used to transduce the colon carcinoma cell line HCT116. Recipient cells were functionally selected for induction of caspase 3-mediated apoptosis. Analyses of over 10,000 putative genetic suppression elements (GSEs) sequences revealed cognate gene candidates that are implicated in apoptosis. We further analysed 26 genes encoding cell surface and secreted proteins that can potentially serve as targets for therapeutic antibodies. Tetracycline-inducible GSEs from several gene candidates induced apoptosis in stable HCT 116 cell lines. Similar phenotypes were caused by RNAi derived from the same genes. Our data suggest requirement for the cell surface targets IGF2R, L1CAM and SLC31A1 in tumor cell growth in vitro, and suggests that IGF2R is required for xenograft tumor growth in a mouse model.

Identification of cell surface targets for HIV-1 therapeutics using genetic screens

Human immunodeficiency virus (HIV) drugs designed to interfere with obligatory utilization of certain host cell factors by virus are less likely to encounter development of resistant strains than drugs directed against viral components. Several cellular genes required for productive infection by HIV were identified by the use of genetic suppressor element (GSE) technology as potential targets for anti-HIV drug development. Fragmented cDNA libraries from various pools of human peripheral blood mononuclear cells (PBMC) were expressed in vitro in human immunodeficiency virus type 1 (HIV-1)-susceptible cell lines and subjected to genetic screens to identify GSEs that interfered with viral replication. After three rounds of selection, more than 15000 GSEs were sequenced, and the cognate genes were identified. The GSEs that inhibited the virus were derived from a diverse set of genes including cell surface receptors, cytokines, signaling proteins, transcription factors, as well as genes with unknown function. Approximately 2.5% of the identified genes were previously shown to play a role in the HIV-1 life cycle; this finding supports the biological relevance of the assay. GSEs were derived from the following 12 cell surface proteins: CXCR4, CCR4, CCR7, CD11C, CD44, CD47, CD68, CD69, CD74, CSF3R, GABBR1, and TNFR2. Requirement of some of these genes for viral infection was also investigated by using RNA interference (RNAi) technology; accordingly, 10 genes were implicated in early events of the viral life cycle, before viral DNA synthesis. Thus, these cell surface proteins represent novel targets for the development of therapeutics against HIV-1 infection and AIDS.

Isolation of a peptide inhibitor of human rhinovirus

Cell culture-based transdominant genetic techniques provide new methods for discovering peptide/RNA modulators of cellular pathways. We applied this technology to isolate a peptide inhibitor of human rhinovirus. A green fluorescent protein (GFP)-scaffolded library of cDNA fragments was expressed in HeLa cells from a retroviral vector and screened for inhibitors of rhinovirus-mediated cell killing. A DNA clone, I421, increased cell survival in an HRV14 challenge assay from less than 0.5% to greater than 60%. It encodes a 53-amino-acid C-terminal extension of the GFP scaffold. Particular subclones of Hela cells expressing I421 (exemplified by I421dp3) show a delay in virus production and a 50-fold decrease in viral RNA levels at 6-8 h postinfection. HRV2, HRV14, and HRV16 show a dramatic decrease in plaque-forming ability on I421dp3 while Coxsackievirus B3 showed a small reduction. Levels of ICAM-1, the receptor for the main rhinovirus serotype, are not altered in I421dp3.

Identification of potential anticancer drug targets through the selection of growth-inhibitory genetic suppressor elements

To identify human genes required for tumor cell growth, transcriptome-scale selection was used to isolate genetic suppressor elements (GSEs) inhibiting breast carcinoma cell growth. Growth-inhibitory GSEs (cDNA fragments that counteract their cognate gene) were selected from 57 genes, including known positive regulators of cell growth or carcinogenesis as well as genes that have not been previously implicated in cell proliferation. Many GSE-cognate genes encode transcription factors (such as STAT and AP-1) and signal transduction proteins. Monoclonal antibodies against a cell surface protein identified by GSE selection, neural cell adhesion molecule L1CAM, strongly inhibited the growth of several tumor cell lines but not of untransformed cells. Hence, selection for growth-inhibitory GSEs allows one to find potential targets for new anticancer drugs.

The use of retroviruses as pharmaceutical tools for target discovery and validation in the field of functional genomics

Retrovirally mediated functional genomics enables identification of physiologically relevant cellular therapeutic targets. Unique properties of retroviruses make them ideal tools for the introduction of large and diverse libraries of potential genetic effectors to a variety of cell types. The identification and recovery of intracellular library elements responsible for altered disease responses establishes a direct basis for pharmaceutical development. Recent innovations in retroviral infection efficiency and expression control have broadened application of the methodology to include libraries of mutagenized cDNAs, peptides and ribozyme genetic effectors.