Potent shRNAs Research Articles

Prediction of potent shRNAs with a sequential classification algorithm.

We present SplashRNA, a sequential classifier to predict potent microRNA-based short hairpin RNAs (shRNAs). Trained on published and novel datasets, SplashRNA outperforms previous algorithms and reliably predicts the most efficient shRNAs for a given gene. Combined with an optimized miR-E backbone, >90% of high-scoring SplashRNA predictions trigger >85% protein knockdown when expressed from a single genomic integration. SplashRNA can significantly improve the accuracy of loss-of-function genetics studies and facilitates the generation of compact shRNA libraries.

Combinatorial RNA Interference Therapy Prevents Selection of Pre-existing HBV Variants in Human Liver Chimeric Mice.

Selection of escape mutants with mutations within the target sequence could abolish the antiviral RNA interference activity. Here, we investigated the impact of a pre-existing shRNA-resistant HBV variant on the efficacy of shRNA therapy. We previously identified a highly potent shRNA, S1, which, when delivered by an adeno-associated viral vector, effectively inhibits HBV replication in HBV transgenic mice. We applied the “PICKY” software to systemically screen the HBV genome, then used hydrodynamic transfection and HBV transgenic mice to identify additional six highly potent shRNAs. Human liver chimeric mice were infected with a mixture of wild-type and T472C HBV, a S1-resistant HBV variant, and then treated with a single or combined shRNAs. The presence of T472C mutant compromised the therapeutic efficacy of S1 and resulted in replacement of serum wild-type HBV by T472C HBV. In contrast, combinatorial therapy using S1 and P28, one of six potent shRNAs, markedly reduced titers for both wild-type and T472C HBV. Interestingly, treatment with P28 alone led to the emergence of escape mutants with mutations in the P28 target region. Our results demonstrate that combinatorial RNAi therapy can minimize the escape of resistant viral mutants in chronic HBV patients.

579. Combinatorial RNA Interference Therapy Prevents Selection of Pre-Existing HBV Variants in Human Liver Chimeric Mice

BACKGROUND & AIMS: Selection of drug-resistant viral variants is a major cause of treatment failure in chronic hepatitis B virus (HBV) infection. We previously identified a highly potent shRNA, S1, which, when delivered by an adeno-associated viral vector, effectively inhibits HBV replication in HBV transgenic mice. Here, we investigated the impact of a pre-existing shRNA-resistant HBV variant on the efficacy of shRNA therapy and propose the use of combination shRNA therapy to prevent viral escape. METHODS: We applied the “PICKY” software to systemically screen the HBV genome, then used hydrodynamic transfection and HBV transgenic mice to identify additional highly potent shRNAs for use, together with S1, as combination therapy. Human liver chimeric mice were infected with a mixture of wild-type and T472C HBV, a S1-resistant HBV variant, then viral dynamics were monitored during treatment with a single or combined shRNAs. RESULTS: We identified five highly potent shRNAs that reduced serum HBV DNA levels by 900- to 8,500-fold in HBV transgenic mice. In HBV-infected human liver chimeric mice, the presence of T472C mutant compromised the therapeutic efficacy of S1 and resulted in replacement of wild-type HBV by T472C HBV. In contrast, combinatorial therapy using S1 and P28, one of five potent shRNAs, markedly reduced titers for both wild-type and T472C HBV Interestingly, treatment with P28 alone led to the emergence of escape mutants with mutations in the P28 target region. CONCLUSIONS: The presence of viral quasispecies in HBV patients might compromise efficacy of RNAi therapy by selecting shRNA-resistant HBVs. Combinatorial RNAi therapy can minimize the escape of resistant HBV mutants.

A Computational Algorithm to Predict shRNA Potency

The strength of conclusions drawn from RNAi-based studies is heavily influenced by the quality of tools used to elicit knockdown. Prior studies have developed algorithms to design siRNAs. However, to date, no established method has emerged to identifyeffective shRNAs, which have lower intracellular abundance than transfected siRNAs and undergo additional processing steps. We recently developed a multiplexed assay for identifying potent shRNAs and used this method to generate ∼250,000 shRNA efficacy data points. Using these data, we developed shERWOOD, an algorithm capable of predicting, for any shRNA, the likelihood that it will elicit potent target knockdown. Combined with additional shRNA design strategies, shERWOOD allows the ab initio identification of potent shRNAs that specifically target the majority of each gene's multiple transcripts. We validated the performance of our shRNA designs using several orthogonal strategies and constructed genome-wide collections of shRNAs for humans and mice based on our approach.

Abstract PR07: RNAi mouse models: Revolutionizing drug discovery in vivo

Abstract RNA interference is a powerful tool for studying gene function, however, the reproducible generation of RNAi tools including RNAi transgenic mice remains a significant limitation. One main hurdle is the identification of potent RNAi triggers, or short hairpin RNAs (shRNAs), that will induce stable and regulated gene silencing. Due to the lack of understanding of the requirements for shRNA biogenesis and target suppression, many predicted shRNAs fail to efficiently induce gene suppression. We have developed a “Sensor assay” that enables the biological identification of effective shRNAs at large scale and show that our assay reliably identifies potent shRNAs that are surprisingly rare and predominantly missed by existing algorithms. In addition, we have engineered a new miRNA scaffold, miR-E, that is more efficiently processed and thus produces more potent knockdown of target genes than our previous miR30 system. By combining our sensored miR-E based shRNAs with high efficiency ES cell targeting, we have developed a fast, scalable pipeline for the production of shRNA transgenic mice with reversible gene silencing. We show that RNAi can cause sufficient knockdown to recapitulate the phenotypes of knockout mice, particularly in cancer models. More importantly, unlike traditional knockout models, RNAi has the powerful advantage of reversibility, since the endogenous gene remains intact. Using this system, we generated a number of inducible RNAi transgenic lines and demonstrate how this approach can identify predicted phenotypes and also unknown functions for well-studied genes. In addition, through regulated gene silencing we are able to mimic drug therapy in mice without the actual drug molecule, allowing us to determine the therapeutic value and/or toxic effects associated with systemic gene suppression. Using this approach, we have been able to pinpoint potential toxicities associated with gene inhibition, results that will guide drug development to avoid target failures which will likely cause harmful and intolerable effects in patients. In a model of hepatocellular carcinoma, we demonstrate that short-term inhibition of a ribosomal protein is sufficient to induce stable cell cycle arrest of liver tumor cells. This system provides a cost-effective and scalable platform for the production of RNAi transgenic mice targeting any mammalian gene – mice with enormous predictive power that will shape our development of better tolerated therapies. This abstract is also presented as Poster B30. Citation Format: Prem Premsrirut, Lukas Dow, Gregory Hannon, Johannes Zuber, Scott Lowe, Lars Zender, Christof Fellmann. RNAi mouse models: Revolutionizing drug discovery in vivo. [abstract]. In: Proceedings of the AACR Special Conference: The Translational Impact of Model Organisms in Cancer; Nov 5-8, 2013; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Res 2014;12(11 Suppl):Abstract nr PR07.

Abstract 2974: RNAi mouse models: Revolutionizing drug discovery in vivo

Abstract RNA interference is a powerful tool for studying gene function, however, the reproducible generation of RNAi tools including RNAi transgenic mice remains a significant limitation. One main hurdle is the identification of potent RNAi triggers, or short hairpin RNAs (shRNAs), that will induce stable and regulated gene silencing. Due to the lack of understanding of the requirements for shRNA biogenesis and target suppression, many predicted shRNAs fail to efficiently induce gene suppression. We have developed a “Sensor assay” that enables the biological identification of effective shRNAs at large scale and show that our assay reliably identifies potent shRNAs that are surprisingly rare and predominantly missed by existing algorithms. In addition, we have engineered a new miRNA scaffold, miR-E, that is more efficiently processed and thus produces more potent knockdown of target genes than our previous miR30 system. By combining our sensored miR-E based shRNAs with high efficiency ES cell targeting, we have developed a fast, scalable pipeline for the production of shRNA transgenic mice with reversible gene silencing. We show that RNAi can cause sufficient knockdown to recapitulate the phenotypes of knockout mice, particularly in cancer models. More importantly, unlike traditional knockout models, RNAi has the powerful advantage of reversibility, since the endogenous gene remains intact. Using this system, we generated a number of inducible RNAi transgenic lines and demonstrate how this approach can identify predicted phenotypes and also unknown functions for well-studied genes. In addition, through regulated gene silencing we are able to mimic drug therapy in mice without the actual drug molecule, allowing us to determine the therapeutic value and/or toxic effects associated with systemic gene suppression. Using this approach, we have been able to pinpoint potential toxicities associated with gene inhibition, results that will guide drug development to avoid target failures which will likely cause harmful and intolerable effects in patients. In a model of hepatocellular carcinoma, we demonstrate that short-term inhibition of a ribosomal protein is sufficient to induce stable cell cycle arrest of liver tumor cells. This system provides a cost-effective and scalable platform for the production of RNAi transgenic mice targeting any mammalian gene - mice with enormous predictive power that will shape our development of better tolerated therapies. Citation Format: Prem K. Premsrirut, BoYoung Yoon, Marina Pesic, Lukas E. Dow, Johannes Zuber, Scott W. Lowe, Gregory J. Hannon, Lars Zender, Christof Fellmann. RNAi mouse models: Revolutionizing drug discovery in vivo. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2974. doi:10.1158/1538-7445.AM2014-2974

Development of gene therapy for treatment of age-related macular degeneration.

Intraocular neovascular diseases are the leading cause of blindness in the Western world in individuals over the age of 50. Age-related macular degeneration (AMD) is one of these diseases. Exudative AMD, the late-stage form, is characterized by abnormal neovessel development, sprouting from the choroid into the avascular subretinal space, where it can suddenly cause irreversible damage to the vulnerable photoreceptor (PR) cells essential for our high-resolution, central vision. The molecular basis of AMD is not well understood, but several growth factors have been implicated including vascular endothelial growth factor (VEGF), and the advent of anti-VEGF therapy has markedly changed the outcome of treatment. However, common to all current therapies for exudative AMD are the complications of repeated monthly intravitreal injections, which must be continued throughout one's lifetime to maintain visual benefits. Additionally, some patients do not benefit from established treatments. Strategies providing long-term suppression of inappropriate ocular angiogenesis are therefore needed, and gene therapy offers a potential powerful technique. This study aimed to develop a strategy based on RNA interference (RNAi) for the sustained attenuation of VEGF. We designed a panel of anti-VEGF short hairpin RNAs (shRNA), and based on the most potent shRNAs, microRNA (miRNA)-mimicked hairpins were developed. We demonstrated an additive VEGF silencing effect when we combined the miRNAs in a tricistronic miRNA cluster. To meet the requirements for development of medical treatments for AMD with long-term effects, the shRNA/miRNA is expressed from vectors based on adeno-associated virus (AAV) or lentivirus (LV). Both vector systems have been found superior in terms of transduction efficiency and persistence in gene expression in retinal cells. The capacity of AAV-encoded RNAi effector molecules to silence endogenous VEGF gene expression was evaluated in mouse models, including the model of laser-induced choroidal neovascularization (CNV), and we found that subretinal administration of self-complementary (sc)-AAV2/8 encoding anti-VEGF shRNAs can impair vessel formation. In parallel, a significant reduction of endogenous VEGF was demonstrated following injection of scAAV2/8 vectors expressing multiple anti-VEGF miRNAs into murine hind limb muscles. Furthermore, in an ongoing project we have designed versatile, multigenic LV vectors with combined expression of multiple miRNAs and proteins, including pigment epithelium-derived factor (PEDF), a multifunctional, secreted protein that has anti-angiogenic and neurotrophic functions. Co-expression of miRNAs and proteins from a single viral vector increases safety by minimizing the viral load necessary to obtain a therapeutic effect and thereby reduces the risk of insertional mutagenesis as well as the immune response against viral proteins. Our results show co-expression of functional anti-VEGF-miRNAs and PEDF in cell studies, and in vivo studies reveal an efficient retinal pigment epithelium (RPE)-specific gene expression following the incorporation of the vitelliform macular dystrophy 2 (VMD2) promoter, demonstrating the potential applicability of our multigenic LV vectors in ocular anti-VEGF gene therapy, including combination therapy for treatment of exudative AMD. In conclusion, these highly promising data clearly demonstrate that viral-encoded RNAi effector molecules can be used for the inhibition of neovascularization and will, in combination with the growing interest of applying DNA- or RNA-based technologies in the clinic, undoubtedly contribute to the development of efficacious long-term gene therapy treatment of intraocular neovascular diseases.

A novel EST‐derived RNAi screen reveals a critical role for farnesyl diphosphate synthase in β2‐adrenergic receptor internalization and down‐regulation

The β2-adrenergic receptor (β2AR) plays important physiological roles in the heart and lung and is the primary target of β-agonists, the mainstay asthma drugs. Activation of β2AR by β-agonists is attenuated by receptor down-regulation, which ensures transient stimulation of the receptor but reduces the efficacy of β-agonists. Here we report the identification, through a functional genome-wide RNA interference (RNAi) screen, of new genes critically involved in β2AR down-regulation. We developed a lentivirus-based RNAi library consisting of 26-nt short-hairpin RNAs (shRNAs). The library was generated enzymatically from a large collection of expressed sequence tag (EST) DNAs corresponding to ∼20,000 human genes and contains on average ∼6 highly potent shRNAs (>75% knockdown efficiency) for each gene. Using this novel shRNA library, together with a robust cell model for β2AR expression, we performed fluorescence-activated cell sorting and isolated cells that, as a consequence of shRNA-mediated gene inactivation, exhibited defective agonist-induced down-regulation. The screen discovered several previously unrecognized β2AR regulators, including farnesyl diphosphate synthase (FDPS). We showed that inactivation of FDPS by shRNA, small interfering RNA, or the highly specific pharmaceutical inhibitor alendronate inhibited β2AR down-regulation. Notably, in human airway smooth muscle cells, the physiological target of β-agonists, alendronate treatment functionally reversed agonist-induced endogenous β2AR loss as indicated by an increase in cAMP production. FDPS inactivation interfered with β2AR internalization into endosomes through disrupting the membrane localization of the Rab5 small GTPase. Furthermore, Rab5 overexpression reversed the deficient receptor down-regulation induced by alendronate, suggesting that FDPS regulates receptor down-regulation in a Rab5-dependent manner. Together, our findings reveal a FDPS-dependent mechanism in the internalization and down-regulation of β2AR, identify FDPS as a potential target for improving the therapeutic efficacy of β-agonists, and demonstrate the utility of the unique EST-derived shRNA library for functional genetics studies.

Tiling genomes of pathogenic viruses identifies potent antiviral shRNAs and reveals a role for secondary structure in shRNA efficacy

shRNAs can trigger effective silencing of gene expression in mammalian cells, thereby providing powerful tools for genetic studies, as well as potential therapeutic strategies. Specific shRNAs can interfere with the replication of pathogenic viruses and are currently being tested as antiviral therapies in clinical trials. However, this effort is hindered by our inability to systematically and accurately identify potent shRNAs for viral genomes. Here we apply a recently developed highly parallel sensor assay to identify potent shRNAs for HIV, hepatitis C virus (HCV), and influenza. We observe known and previously unknown sequence features that dictate shRNAs efficiency. Validation using HIV and HCV cell culture models demonstrates very high potency of the top-scoring shRNAs. Comparing our data with the secondary structure of HIV shows that shRNA efficacy is strongly affected by the secondary structure at the target RNA site. Artificially introducing secondary structure to the target site markedly reduces shRNA silencing. In addition, we observe that HCV has distinct sequence features that bias HCV-targeting shRNAs toward lower efficacy. Our results facilitate further development of shRNA based antiviral therapies and improve our understanding and ability to predict efficient shRNAs.

Role of caspase 9 in activation of HTLV-1 LTR expression by DNA damaging agents

Adult T-cell leukemia (ATL) is caused by HTLV-I. The viral Tax oncoprotein plays a central role in initiating the process to ATL. However, after infection HTLV-1 enters into latency, during which virus gene expression is very low, so that the level of Tax is likely insufficient for exerting its oncogenic activities. Therefore only 5% of the infected individuals may develop ATL several decades after infection. It is assumed that the transition from latency to ATL development requires at least a temporary activation of the latent virus in order to elevate Tax to its oncogenic threshold. We have previously found that DNA damaging agents, which usually induce apoptosis, can also activate the viral LTR and that the anti-apoptosis Bcl-2 protein not only avoid their apoptosis induction but concomitantly prevents their LTR activation effect. Therefore, the present study was designed to identify the factor that while participating in the apoptotic cascade acts also to activate the viral LTR. For this purpose we employed ectopic vectors expressing these apoptotic factors together with potent shRNAs against each of them and anti caspase peptide inhibitors. We have found that in addition to its function as initiator of the mitochondrial apoptotic cascade, caspase 9 can acts also as an executer which among other non-apoptotic functions it forms an Sp1-p53 complex that activates the LTR by binding to an Sp1 recognition site residing in the LTR. This finding can help in designing effective preventing strategies against ATL development in clinically latent HTLV-1 carriers.

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Short hairpin RNAs (shRNAs) provide powerful experimental tools by enabling stable and regulated gene silencing through programming of endogenous microRNA pathways. Since requirements for efficient shRNA biogenesis and target suppression are largely unknown, many predicted shRNAs fail to efficiently suppress their target. To overcome this barrier, we developed a “Sensor assay” that enables the biological identification of effective shRNAs at large scale. By constructing and evaluating 20,000 RNAi reporters covering every possible target site in nine mammalian transcripts, we show that our assay reliably identifies potent shRNAs that are surprisingly rare and predominantly missed by existing algorithms. Our unbiased analyses reveal that potent shRNAs share various predicted and previously unknown features associated with specific microRNA processing steps, and suggest a model for competitive strand selection. Together, our study establishes a powerful tool for large-scale identification of highly potent shRNAs and provides insights into sequence requirements of effective RNAi.

Functional Identification of Optimized RNAi Triggers Using a Massively Parallel Sensor Assay

Short hairpin RNAs (shRNAs) provide powerful experimental tools by enabling stable and regulated gene silencing through programming of endogenous microRNA pathways. Since requirements for efficient shRNA biogenesis and target suppression are largely unknown, many predicted shRNAs fail to efficiently suppress their target. To overcome this barrier, we developed a "Sensor assay" that enables the biological identification of effective shRNAs at large scale. By constructing and evaluating 20,000 RNAi reporters covering every possible target site in ninemammalian transcripts, we show that our assayreliably identifies potent shRNAs that are surprisingly rare and predominantly missed by existing algorithms. Our unbiased analyses reveal that potent shRNAs share various predicted and previously unknown features associated with specific microRNA processing steps, and suggest a model for competitive strand selection. Together, our study establishes a powerful tool for large-scale identification of highly potent shRNAs and provides insights into sequence requirements of effective RNAi.

GFAP Promoter-Driven RNA Interference on TGF-β1 to Treat Liver Fibrosis

The objective was to determine the role of promoters and miRNA backbone in shRNA-based hepatic stellate cell (HSC)-specific transforming growth factor (TGF)-β1 gene silencing. This is expected to avoid the side effect of non-specific TGF-β1 gene silencing. Two most potent shRNAs targeting 769 and 1033 start sites of rat TGF-β1 mRNA were cloned into pSilencer 1.0 vector for enhanced TGF-β1 gene silencing. We then constructed HSC-specific pri-miRNA mimic and pri-miRNA cluster mimic expression plasmids in which shRNA expression was driven by a glial fibrillary acidic protein (GFAP) promoter to achieve HSC-specific TGF-β1 gene silencing to avoid nonspecific inhibition of TGF-β1 expression in other cells and organs. These TGF-β1 pri-miRNA-producing plasmids showed the inhibition of proliferation and induced apoptosis of activated HSC-T6 cells. TGF-β1 pri-miRNA cluster mimic plasmids decreased TGF-β1 and collagen gene expression at both mRNA and protein levels. GFAP promoter driven TGF-β1 pri-miRNA producing plasmids have the potential to be used for site-specific gene therapeutics to treat liver fibrosis.

Quantitative assessment of the antiviral potencies of 21 shRNA vectors targeting conserved, including structured, hepatitis B virus sites

RNA interference (RNAi) may offer new treatment options for chronic hepatitis B. Replicating via an RNA intermediate, hepatitis B virus (HBV) is known to be principally vulnerable to RNAi. However, beyond delivery, the relevant issues of potential off-target effects, target site conservation in circulating HBV strains, and efficacy of RNAi itself have not systematically been addressed, nor can the different existing data be quantitatively compared. The aim of this study was to provide such information. To focus on the intracellular RNAi process itself and minimise other variables affecting overall RNAi efficacy, we used a robust co-transfection system to quantitatively assess the relative potencies of 21 small-hairpin (sh) RNA vectors, targeting conserved sites throughout the HBV genome, against viral RNAs, proteins, nucleocapsids, and secreted virions under standardised conditions. The approach enabled a distinct efficacy ranking, with the six most potent shRNAs achieving 95% reductions in virion formation, sequence-specifically and without detectable interferon induction, yet by differentially affecting different steps. Efficacy correlated poorly with predictions and was not principally abolished by target structure. Sequence comparisons suggest that truly conserved, RNAi-targetable sequences comprise less than 500 nucleotides of the circulating HBV genomes. The HBV genome can harbour only a finite number of optimal target sites, but current predictions are poorly suited to constrain the number of possible candidates. However, the small size of the highly conserved sequence space suggests experimental identification as a viable option.

Minimal-length short hairpin RNAs: The relationship of structure and RNAi activity

Small hairpin RNAs (shRNAs) are widely used in RNAi studies and typically consist of a stem of 19-29 base pairs (bp), a loop of at least 4 nucleotides (nt), and a dinucleotide overhang at the 3' end. Compared with shRNAs with 21-29 bp stems, we have found that shRNAs with 19-bp or shorter stems (sshRNAs) possess some unique structure-activity features that depend on whether the antisense strand is positioned 5' or 3' to the loop (L- or R-type sshRNAs, respectively). L sshRNAs can have IC(50)s in the very low picomolar range, and sshRNAs with nominal loop sizes of 1 or 4 nt were at least as active as those with longer loops. L sshRNAs remained highly potent even when the 3' end of the antisense strand was directly linked with the 5' end of the sense strand. In this case, the sense strand can be shorter than the antisense strand, and the loop can be formed entirely by the 3' end of the antisense strand. Monomer sshRNAs are not processed by recombinant Dicers in vitro. Although they can form dimers that are sometimes Dicer substrates, their RNAi activity is not dependent on the formation of such structures. Our findings have implications for the mechanism of action of sshRNAs, and the ability to design highly potent shRNAs with minimal length is encouraging for the prospects of the therapeutic use of direct-delivered shRNAs.

Stringent testing identifies highly potent and escape‐proof anti‐HIV short hairpin RNAs

RNA interference (RNAi) is a cellular mechanism that can be induced by small interfering RNAs to mediate sequence-specific gene silencing by cleavage of the targeted mRNA. RNAi can be used as an antiviral approach to silence the human immunodeficiency virus type 1 (HIV-1) through stable expression of short hairpin RNAs (shRNAs). Previously, we used a co-transfection assay in which shRNA constructs were transfected with an HIV-1 molecular clone to identify 20 shRNA inhibitors that target highly conserved HIV-1 sequences. In the present study, we selected the most potent shRNAs to formulate a combinatorial shRNA therapy and determine the best and easiest method for antiviral shRNA selection. We performed transient inhibition assays with either a luciferase reporter or HIV-1 molecular clone and also infected shRNA-expressing T cell lines with HIV-1 and monitored virus replication. The latter assay allows detection of viral escape. In addition, we also tested shRNA-expressing T cells upon challenge with increasing dosages of HIV-1, and measured the dose required to result in massive virus-induced syncytia formation in this 2-week assay. Extended culturing selected three highly effective shRNAs that do not allow viral replication for more than 100 days. This difference in potency was not observed in the transient co-transfection assays. The use of increased dosages of HIV-1 selected the same highly potent shRNAs as the laborious and extended escape study. These highly potent shRNAs could be used for a clinical vector and the comparison of the developed assays might help other researchers in their search for antiviral shRNAs.

RNAi-mediated inhibition of HIV-1

HIV-1 replication can be effectively suppressed by stable expression of a potent antiviral short hairpin inhibitor (shRNA), but HIV-1 eventually escapes. When the nonessential nef gene is targeted, we reported a diversity of escape routes, from a single point mutation to complete deletion of the 19-nucleotide target sequence. We reasoned that deletion-mediated escape would not be possible when essential viral genes are targeted. We therefore selected potent shRNAs against the most conserved viral sequences. Indeed, no deletions were observed in these cases, but the virus still escaped through point mutation(s). Interestingly, silent codon changes were preferentially selected for some of these targets, indicating extreme pressure on the virus not to change the encoded protein domains. In analogy with the use of multiple antivirals in HAART to prevent viral escape, we designed strategies to express multiple antiviral shRNAs from a lentiviral vector system. Many problems were encountered (self-targeting, recombination on repeated promoter elements etc), but these could be solved by vector redesign. We constructed a lentiviral vector that co-expresses 4 potent shRNAs, and we observed durable virus suppression in stably transduced T cells. This construct was tested for safety and efficacy in the humanized immune system mouse (HIS mouse). We tested whether shRNA-transduced human CD34+ precursor cells develop normally during haematopoiesis as a very sensitive toxicity screen. In addition, new approaches to attack viruses across the blood-brainbarrier will be presented. from Infectious diseases of the nervous system: pathogenesis and worldwide impact Paris, France. 10–13 September 2008

Phorbol Ester-induced Apoptosis of C4-2 Cells Requires Both a Unique and a Redundant Protein Kinase C Signaling Pathway

Phorbol 12-myristate 13-acetate (PMA) potently induces apoptosis of LNCaP human prostate cancer cells. Here, we show that C4-2 cells, androgen-hypersensitive derivatives of LNCaP cells, also are sensitive to PMA-induced apoptosis. Previous reports have implicated activation of protein kinase C (PKC) isozymes alpha and delta in PMA-induced LNCaP apoptosis using overexpression, pharmacological inhibitors, and dominant-negative constructs, but have left unresolved if other isozymes are involved, if there are separate requirements for individual PKC isozymes, or if there is redundancy. We have resolved these questions in C4-2 cells using stable expression of short hairpin RNAs to knock down expression of specific PKC isozymes individually and in pairs. Partial knockdown of PKCdelta inhibited PMA-induced C4-2 cell death almost completely, whereas near-complete knockdown of PKCalpha had no effect. Knockdown of PKCepsilon alone had no effect, but simultaneous knockdown of both PKCalpha and PKCepsilon in C4-2 cells that continued to express normal levels of PKCdelta inhibited PMA-induced apoptosis. Thus, our data indicate that there is an absolute requirement for PKCdelta in PMA-induced C4-2 apoptosis but that the functions of PKCalpha and PKCepsilon in apoptosis induction are redundant, such that either one (but not both) is required. Investigation of PMA-induced events required for LNCaP and C4-2 apoptosis revealed that p38 activation is dependent on PKCdelta, whereas induction of retinoblastoma protein hypophosphorylation requires both PKC signaling pathways and is downstream of p38 activation in the PKCdelta pathway.