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SREBP cleavage-activating protein (SCAP) is a key protein in the regulation of lipid metabolism and a potential target for treatment of dyslipidemia. SCAP is required for activation of the transcription factors SREBP-1 and -2. SREBPs regulate the expression of genes involved in fatty acid and cholesterol biosynthesis, and LDL-C clearance through the regulation of LDL receptor (LDLR) and PCSK9 expression. To further test the potential of SCAP as a novel target for treatment of dyslipidemia, we used siRNAs to inhibit hepatic SCAP expression and assess the effect on PCSK9, LDLR, and lipids in mice and rhesus monkeys. In mice, robust liver Scap mRNA knockdown (KD) was achieved, accompanied by dose-dependent reduction in SREBP-regulated gene expression, de novo lipogenesis, and plasma PCSK9 and lipids. In rhesus monkeys, over 90% SCAP mRNA KD was achieved resulting in approximately 75, 50, and 50% reduction of plasma PCSK9, TG, and LDL-C, respectively. Inhibition of SCAP function was demonstrated by reduced expression of SREBP-regulated genes and de novo lipogenesis. In conclusion, siRNA-mediated inhibition of SCAP resulted in a significant reduction in circulating PCSK9 and LDL-C in rodent and primate models supporting SCAP as a novel target for the treatment of dyslipidemia.

Angiotensinogen (AGT) is the precursor of active vasoconstrictive octapeptide angiotensin II (Ang II) in the renin-angiotensin-aldosterone system. Blocking the AGT-converting enzymes in the pathway and the Ang II receptor through pharmacological agents has been proven to be effective in lowering blood pressure (BP) in hypertensive patients. In this study, we developed chemically modified small interfering RNAs (siRNA) to target hepatic AGT mRNA in rats. Lipid nanoparticle encapsulated siRNAs were efficiently delivered to rat liver and resulted in significant reduction in hepatic Agt mRNA levels and plasma AGT concentration without impairing liver function. Single intravenous injection of Agt siRNA led to significant and sustained BP lowering in spontaneous hypertensive rats and in Sprague-Dawley rats, and the effect was maintained by weekly siRNA dosing. Data presented here provide proof-of-feasibility for the use of siRNA technology for inhibition of peripheral AGT levels via hepatic mRNA silencing with beneficial effects on BP in preclinical rat models. Similar approach could be used for validation of novel hypertension hepatic and extrahepatic targets.

Gene silencing by RNA interference has become a powerful tool to help identify genes that regulate biological processes. However, the complexity of the biology probed and the incomplete validation of the reagents used make it difficult to interpret the results of genome-wide siRNA screens. To address this challenge and maximize the return on the efforts required for validating genomic screen hits, the screening strategy must be designed to increase the robustness of the primary screening hits and include assays that inform on the mechanism of action of the knocked-down transcripts. Here, we describe the implementation of a small interfering RNA (siRNA) screen to identify genes that sensitize the effect of poly-(ADP ribose)-polymerase (PARP) inhibitor on cell survival. In the strategy we designed for the primary screen, two biological activities, apoptosis and cell viability, were measured simultaneously at different time points in the presence and absence of a PARP inhibitor (PARPi). The multiplexed assay allowed us to identify PARPi sensitizers induced by both caspase-dependent and independent mechanisms. The multiplexed screening strategy yielded robust primary hits with significant enrichment for DNA repair genes, which were further validated using relevant high-content imaging assays and confirmation of transcript knockdown by real-time PCR (rtPCR).

Reducing circulating LDL-cholesterol (LDL-c) reduces the risk of cardiovascular disease in people with hypercholesterolemia. Current approaches to reduce circulating LDL-c include statins, which inhibit cholesterol synthesis, and ezetimibe, which blocks cholesterol absorption. Both elevate serum PCSK9 protein levels in patients, which could attenuate their efficacy by reducing the amount of cholesterol cleared from circulation. To determine whether PCSK9 inhibition could enhance LDL-c lowering of both statins and ezetimibe, we utilized small interfer­ing RNAs (siRNAs) to knock down Pcsk9, together with ezetimibe, rosuvastatin, and an ezetimibe/rosuvastatin combination in a mouse model with a human-like lipid profile. We found that ezetimibe, rosuvastatin, and ezetimibe/rosuvastatin combined lower serum cholesterol but induce the expression of Pcsk9 as well as the Srebp-2 hepatic cholesterol biosynthesis pathway. Pcsk9 knockdown in combination with either treatment led to greater reductions in serum non-HDL with a near-uniform reduction of all LDL-c subfractions. In addition to reducing serum cholesterol, the combined rosuvastatin/ezetimibe/Pcsk9 siRNA treatment exhibited a significant reduction in serum APOB protein and triglyceride levels. Taken together, these data provide evidence that PCSK9 inhibitors, in combination with current therapies, have the potential to achieve greater reductions in both serum cholesterol and triglycerides.

The use of short interfering RNAs (siRNA) in animals for target validation or as potential therapeutics is hindered by the short physical half-life when delivered as unencapsulated material and in turn the short active half-life of siRNAs in vivo. Here we demonstrate that the character of the two 3'-overhang nucleotides of the guide strand of siRNAs is a determinant of the duration of silencing by siRNAs both in vivo and in tissue culture cells. We demonstrate that deoxyribonucleotides in the guide strand overhang of siRNAs have a negative impact on maintenance of both the in vitro and in vivo activity of siRNAs over time. Overhangs that contain ribonucleotides or 2'-O-methyl modified nucleotides do not demonstrate this same impairment. We also demonstrate that the sequence of an siRNA is a determinant of the duration of silencing of siRNAs directed against the same target even when those siRNAs have equivalent activities in vitro. Our experiments have determined that a measurable duration parameter exists, distinct from both maximum silencing ability and the potency of siRNAs. Our findings provide information on incorporating chemically modified nucleotides into siRNAs for potent, durable therapeutics and also inform on methods used to select siRNAs for therapeutic and research purposes.

The hypoxia-inducible factor (HIF) pathway is essential for cell survival under low oxygen and plays an important role in tumor cell homeostasis. We investigated the function of miR-210, the most prominent microRNA upregulated by hypoxia and a direct transcriptional target of HIFs. miR-210 expression was elevated in multiple cancer types and correlated with metastasis of breast and melanoma tumors. miR-210 overexpression in cancer cell lines bypassed hypoxia-induced cell cycle arrest and partially reversed the hypoxic gene expression signature. We identified MNT, a known MYC antagonist, as a miR-210 target. MNT mRNA contains multiple miR-210 binding sites in the 3' UTR and its knockdown phenocopied miR-210 overexpression. Furthermore, loss of MYC abolished miR-210-mediated override of hypoxia-induced cell cycle arrest. Comparison of miR-210 and MYC overexpression with MNT knockdown signatures also indicated that miR-210 triggered a "MYC-like" transcriptional response. Thus, miR-210 influences the hypoxia response in tumor cells through targeting a key transcriptional repressor of the MYC-MAX network.

High-throughput screening (HTS) of large-scale RNA interference (RNAi) libraries has become an increasingly popular method of functional genomics in recent years. Cell-based assays used for RNAi screening often produce small dynamic ranges and significant variability because of the combination of cellular heterogeneity, transfection efficiency, and the intrinsic nature of the genes being targeted. These properties make reliable hit selection in the RNAi screen a difficult task. The use of robust methods based on median and median absolute deviation (MAD) has been suggested to improve hit selection in such cases, but mean and standard deviation (SD)-based methods are still predominantly used in many RNAi HTS. In an experimental approach to compare these 2 methods, a genome-scale small interfering RNA (siRNA) screen was performed, in which the identification of novel targets increasing the therapeutic index of the chemotherapeutic agent mitomycin C (MMC) was sought. MAD values were resistant to the presence of outliers, and the hits selected by the MAD-based method included all the hits that would be selected by SD-based method as well as a significant number of additional hits. When retested in triplicate, a similar percentage of these siRNAs were shown to genuinely sensitize cells to MMC compared with the hits shared between SD- and MAD-based methods. Confirmed hits were enriched with the genes involved in the DNA damage response and cell cycle regulation, validating the overall hit selection strategy. Finally, computer simulations showed the superiority and generality of the MAD-based method in various RNAi HTS data models. In conclusion, the authors demonstrate that the MAD-based hit selection method rescued physiologically relevant false negatives that would have been missed in the SD-based method, and they believe it to be the desirable 1st-choice hit selection method for RNAi screen results.

RNA interference (RNAi), combined with the availability of genome sequences, provides an unprecedented opportunity for the massive and parallel investigations of gene function. Small interfering RNA (siRNA) represents a popular and quick approach of RNAi for in vitro loss-of-function genetic screens. Efficient transfection of siRNA is critical for unambiguous interpretation of screen results and thus overall success of any siRNA screen. A high-throughput, lipid-based transfection method for siRNA was developed that can process eighty 384-well microplates in triplicate (for a total of 30,720 unique transfections) in 8 h. Transfection throughput was limited only by the speed of robotics, whereas the cost of screening was reduced. As a proof of principle, a genome-scale screen with a library of 22,108 siRNAs was performed to identify the genes sensitizing cells to mitomycin C at concentrations of 0, 20, and 60 nM. Transfection efficiency, performances of control siRNAs, and other quality metrics were monitored and demonstrated that the new, optimized transfection protocol produced high-quality results throughout the screen. (Journal of Biomolecular Screening XXXX:xx-xx)

Proteolysis of beta-amyloid precursor protein (APP) into amyloid beta peptide (Abeta) by beta- and gamma-secretases is a critical step in the pathogenesis of Alzheimer's Disease (AD), but the pathways regulating secretases are not fully characterized. Ubiquitinylation, which is dysregulated in AD, may affect APP processing. Here, we describe a screen for APP processing modulators using an siRNA library targeting 532 predicted ubiquitin ligases. Seven siRNA pools diminished Abeta production. Of these, siRNAs targeting PPIL2 (hCyp-60) suppressed beta-site cleavage. Knockdown of PPIL2 mRNA decreased BACE1 mRNA, while overexpression of PPIL2 cDNA enhanced BACE1 mRNA levels. Microarray analysis of PPIL2 or BACE1 knockdown indicated that genes affected by BACE1 knockdown are a subset of those dependent upon PPIL2; suggesting that BACE1 expression is downstream of PPIL2. The association of PPIL2 with BACE expression and its requirement for Abeta production suggests new approaches to discover disease modifying agents for AD.

RNA interference is thought to require near-identity between the small interfering RNA (siRNA) and its cognate mRNA. Here, we used gene expression profiling to characterize the specificity of gene silencing by siRNAs in cultured human cells. Transcript profiles revealed siRNA-specific rather than target-specific signatures, including direct silencing of nontargeted genes containing as few as eleven contiguous nucleotides of identity to the siRNA. These results demonstrate that siRNAs may cross-react with targets of limited sequence similarity.

siRNAs mediate sequence-specific gene silencing in cultured mammalian cells but also silence unintended transcripts. Many siRNA off-target transcripts match the guide-strand “seed region,” similar to the way microRNAs match their target sites. The extent to which this seed-matched, microRNA-like, off-target silencing affects the specificity of therapeutic siRNAs in vivo is currently unknown. Here, we compare microRNA-like off-target regulations in mouse liver in vivo with those seen in cell culture for a series of therapeutic candidate siRNAs targeting Apolipoprotein B (APOB). Each siRNA triggered regulation of consistent microRNA-like off-target transcripts in mouse livers and in cultured mouse liver tumor cells. In contrast, there was only random overlap between microRNA-like off-target transcripts from cultured human and mouse liver tumor cells. Therefore, siRNA therapeutics may trigger microRNA-like silencing of many unintended targets in vivo, and the potential toxicities caused by these off-target gene regulations cannot be accurately assessed in rodent models.

Rare familial forms of Alzheimer's disease (AD) are thought to be caused by elevated proteolytic production of the Aβ42 peptide from the β-amyloid-precursor protein (APP). Although the pathogenesis of the more common late-onset AD (LOAD) is not understood, BACE1, the protease that cleaves APP to generate the N terminus of Aβ42, is more active in patients with LOAD, suggesting that increased amyloid production processing might also contribute to the sporadic disease. Using high-throughput siRNA screening technology, we assessed 15,200 genes for their role in Aβ42 secretion and identified leucine-rich repeat transmembrane 3 ( LRRTM3 ) as a neuronal gene that promotes APP processing by BACE1. siRNAs targeting LRRTM3 inhibit the secretion of Aβ40, Aβ42, and sAPPβ, the N-terminal APP fragment produced by BACE1 cleavage, from cultured cells and primary neurons by up to 60%, whereas overexpression increases Aβ secretion. LRRTM3 is expressed nearly exclusively in the nervous system, including regions affected during AD, such as the dentate gyrus. Furthermore, LRRTM3 maps to a region of chromosome 10 linked to both LOAD and elevated plasma Aβ42, and is structurally similar to a family of neuronal receptors that includes the NOGO receptor, an inhibitor of neuronal regeneration and APP processing. Thus, LRRTM3 is a functional and positional candidate gene for AD, and, given its receptor-like structure and restricted expression, a potential therapeutic target.

Gene silencing by RNA interference is a powerful genetic tool to identify genes involved in specific biological processes in model organisms and human cells (3, 14, 18, 38, 42, 56). It is now possible to perform unbiased genetic screens using cultured human cells. Recently, small-scale siRNA (small interfering RNA) and shRNA (small hairpin RNA) screens in human cells have successfully identified genes that modulate cell growth, apoptosis, chemoresistance, and chemosensitivity (4, 44, 52). While establishing proof-of-concept, most of these early screens tested gene sets too limited in size to provide a comprehensive view of the genes involved in the cellular phenotypes being tested. Several groups have employed nearly genome-wide screens of shRNAs expressed from vectors to identify genes that modify certain phenotypes (6, 40, 49, 59). To date, these shRNA screens have been limited to phenotypes amenable to positive selection, but other approaches like bar code screening have shown promise (6). Systematic well-by-well testing of genomic-scale siRNA or shRNA libraries for modulation of nonselectable phenotypes in human cells has not been widely attempted. Cancer cells undergo numerous genetic changes that drive cellular transformation from normal cell progenitors. Anticancer drug target discovery is now frequently directed toward understanding and exploiting genetic alterations that exist in tumor cells. Knowledge of genetic alterations in tumors may lead to better use of conventional therapeutics or development of new therapeutics that offer better therapeutic windows. Loss-of-function genetic screens can identify genes whose loss of function enhances cytotoxicity of chemotherapeutics in cells with defined genetic lesions. The TP53 transcription factor is a central mediator of the cellular response to DNA damage and a variety of other stresses and is one of the most frequently mutated genes in human cancers (19, 57). TP53 status can also effect the chemosensitivity of tumor cells (15). The identification of genes that, when silenced, selectively enhance the chemosensitivity of TP53 mutant cancer cells but not TP53 wild-type cells would make attractive drug targets. Drugs developed to these genes have the potential to selectively increase the toxicity of the chemotherapeutic in the cancer cell. Genetic screens in model organisms have led to identification of drug enhancers whose loss increases sensitivity to the drug (43, 54, 56, 61). We hypothesized that identification of enhancers for commonly used cancer therapeutics would lead to new strategies for therapeutic application of these drugs and/or identification of new targets for the development of combination chemotherapies. Here we used small- and genome-scale siRNA screens to identify genes that enhance the sensitivity of human tumor cells to the cancer chemotherapeutic cisplatin. The screen hits included known genes that function in DNA repair, cell cycle checkpoints, and survival signaling, as well as genes with no annotated functions. Selected hits from these screens were validated and then tested on matched TP53-positive and TP53-deficient cells to identify enhancers selective for tumor cells that have lost TP53 function. We show that silencing of BRCA1, BRCA2, and certain genes whose products interact with BRCA1/2, selectively enhances cisplatin cytotoxicity in TP53-deficient cells.

Development of effective drugs for treatment of human disease relies on identification of therapeutic molecular targets. The identification of targets to treat human disease has previously relied on genetic screens in model organisms, and less robust or lower throughput approaches in mammalian systems. RNA interference (RNAi) makes possible, for the first time, the use of large-scale functional genomics approaches for target identification in human cells. This remarkable breakthrough has the potential to influence every facet of the drug discovery process, and is poised to revolutionize drug development. Reports of RNAi screens for the identification of novel genes implicated in apoptosis, cell division, and drug resistance support the enormous promise of this technology. Here, we discuss the potential impact of RNAi screens on target identification and validation and consider issues that warrant caution when interpreting RNAi screening results.