A genome-wide siRNA screen to identify modulators of insulin sensitivity and gluconeogenesis.

BACKGROUND: Hepatic insulin resistance impairs insulin's ability to suppress hepatic glucose production (HGP) and contributes to the development of type 2 diabetes (T2D). Although the interests to discover novel genes that modulate insulin sensitivity and HGP are high, it remains challenging to have a human cell based system to identify novel genes. METHODOLOGY/PRINCIPAL FINDINGS: To identify genes that modulate hepatic insulin signaling and HGP, we generated a human cell line stably expressing beta-lactamase under the control of the human glucose-6-phosphatase (G6PC) promoter (AH-G6PC cells). Both beta-lactamase activity and endogenous G6PC mRNA were increased in AH-G6PC cells by a combination of dexamethasone and pCPT-cAMP, and reduced by insulin. A 4-gene High-Throughput-Genomics assay was developed to concomitantly measure G6PC and pyruvate-dehydrogenase-kinase-4 (PDK4) mRNA levels. Using this assay, we screened an siRNA library containing pooled siRNA targeting 6650 druggable genes and identified 614 hits that lowered G6PC expression without increasing PDK4 mRNA levels. Pathway analysis indicated that siRNA-mediated knockdown (KD) of genes known to positively or negatively affect insulin signaling increased or decreased G6PC mRNA expression, respectively, thus validating our screening platform. A subset of 270 primary screen hits was selected and 149 hits were confirmed by target gene KD by pooled siRNA and 7 single siRNA for each gene to reduce G6PC expression in 4-gene HTG assay. Subsequently, pooled siRNA KD of 113 genes decreased PEPCK and/or PGC1alpha mRNA expression thereby demonstrating their role in regulating key gluconeogenic genes in addition to G6PC. Last, KD of 61 of the above 113 genes potentiated insulin-stimulated Akt phosphorylation, suggesting that they suppress gluconeogenic gene by enhancing insulin signaling. CONCLUSIONS/SIGNIFICANCE: These results support the proposition that the proteins encoded by the genes identified in our cell-based druggable genome siRNA screen hold the potential to serve as novel pharmacological targets for the treatment of T2D.

cSSMD: assessing collective activity for addressing off-target effects in genome-scale RNA interference screens.

MOTIVATION: Off-target activity commonly exists in RNA interference (RNAi) screens and often generates false positives. Existing analytic methods for addressing the off-target effects are demonstrably inadequate in RNAi confirmatory screens. RESULTS: Here, we present an analytic method assessing the collective activity of multiple short interfering RNAs (siRNAs) targeting a gene. Using this method, we can not only reduce the impact of off-target activities, but also evaluate the specific effect of an siRNA, thus providing information about potential off-target effects. Using in-house RNAi screens, we demonstrate that our method obtains more reasonable and sensible results than current methods such as the redundant siRNA activity (RSA) method, the RNAi gene enrichment ranking (RIGER) method, the frequency approach and the t-test. CONTACT: xiaohua_zhang@merck.com SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

The use of SSMD-based false discovery and false nondiscovery rates in genome-scale RNAi screens.

In genome-scale RNA interference (RNAi) screens, it is critical to control false positives and false negatives statistically. Traditional statistical methods for controlling false discovery and false nondiscovery rates are inappropriate for hit selection in RNAi screens because the major goal in RNAi screens is to control both the proportion of short interfering RNAs (siRNAs) with a small effect among selected hits and the proportion of siRNAs with a large effect among declared nonhits. An effective method based on strictly standardized mean difference (SSMD) has been proposed for statistically controlling false discovery rate (FDR) and false nondiscovery rate (FNDR) appropriate for RNAi screens. In this article, the authors explore the utility of the SSMD-based method for hit selection in RNAi screens. As demonstrated in 2 genome-scale RNAi screens, the SSMD-based method addresses the unmet need of controlling for the proportion of siRNAs with a small effect among selected hits, as well as controlling for the proportion of siRNAs with a large effect among declared nonhits. Furthermore, the SSMD-based method results in reasonably low FDR and FNDR for selecting inhibition or activation hits. This method works effectively and should have a broad utility for hit selection in RNAi screens with replicates.

A lentivirus-mediated genetic screen identifies dihydrofolate reductase (DHFR) as a modulator of beta-catenin/GSK3 signaling.

The multi-protein beta-catenin destruction complex tightly regulates beta-catenin protein levels by shuttling beta-catenin to the proteasome. Glycogen synthase kinase 3beta (GSK3beta), a key serine/threonine kinase in the destruction complex, is responsible for several phosphorylation events that mark beta-catenin for ubiquitination and subsequent degradation. Because modulation of both beta-catenin and GSK3beta activity may have important implications for treating disease, a complete understanding of the mechanisms that regulate the beta-catenin/GSK3beta interaction is warranted. We screened an arrayed lentivirus library expressing small hairpin RNAs (shRNAs) targeting 5,201 human druggable genes for silencing events that activate a beta-catenin pathway reporter (BAR) in synergy with 6-bromoindirubin-3'oxime (BIO), a specific inhibitor of GSK3beta. Top screen hits included shRNAs targeting dihydrofolate reductase (DHFR), the target of the anti-inflammatory compound methotrexate. Exposure of cells to BIO plus methotrexate resulted in potent synergistic activation of BAR activity, reduction of beta-catenin phosphorylation at GSK3-specific sites, and accumulation of nuclear beta-catenin. Furthermore, the observed synergy correlated with inhibitory phosphorylation of GSK3beta and was neutralized upon inhibition of phosphatidyl inositol 3-kinase (PI3K). Linking these observations to inflammation, we also observed synergistic inhibition of lipopolysaccharide (LPS)-induced production of pro-inflammatory cytokines (TNFalpha, IL-6, and IL-12), and increased production of the anti-inflammatory cytokine IL-10 in peripheral blood mononuclear cells exposed to GSK3 inhibitors and methotrexate. Our data establish DHFR as a novel modulator of beta-catenin and GSK3 signaling and raise several implications for clinical use of combined methotrexate and GSK3 inhibitors as treatment for inflammatory disease.

Identification of small-molecule modulators of mouse SVZ progenitor cell proliferation and differentiation through high-throughput screening.

Adult mouse subventricular zone (SVZ) neural stem/progenitor cells are multipotent self-renewing cells that retain the capacity to generate the major cell types of the central nervous system in vitro and in vivo. The relative ease of expanding SVZ cells in culture as neurospheres makes them an ideal model for carrying out large-scale screening to identify compounds that regulate neural progenitor cell proliferation and differentiation. The authors have developed an adenosine triphosphate-based cell proliferation assay using adult SVZ cells to identify small molecules that activate or inhibit progenitor cell proliferation. This assay was miniaturized to a 1536-well format for high-throughput screening (HTS) of >1 million small-molecule compounds, and 325 and 581 compounds were confirmed as potential inducers of SVZ cell proliferation and differentiation, respectively. A number of these compounds were identified as having a selective proliferative and differentiation effect on SVZ cells versus mouse Neuro2a neuroblastoma cells. These compounds can potentially be useful pharmacological tools to modulate resident stem cells and neurogenesis in the adult brain. This study represents a novel application of primary somatic stem cells in the HTS of a large-scale compound library.

Development of the high throughput screening assay for identification of agonists of an orphan nuclear receptor.

Retina-specific nuclear receptor (RNR), also known as PNR and NR2E3, is an orphan nuclear receptor expressed exclusively in photoreceptor cells of the retina. Here we describe homogeneous cell-based resonance energy transfer assay for identification of RNR agonists using beta-lactamase as the reporter gene. Bacterial beta-lactamase reporter construct containing GAL4 response elements was randomly integrated into the genome with subsequent selection of responsive cell pools by fluorescence-activated cell sorting. Chimeric RNR (RNR hinge and ligand-binding domains fused to GAL4 DNA-binding domain) was stably transfected into mammalian Flp-In Chinese hamster ovary cells using Flp-mediated recombination into a single pre-integrated Flp recombination target site. Since no RNR ligand could be used as a control for monitoring the development of the RNR assay, we developed a parallel cell line with the functionally related well-characterized thyroid hormone nuclear receptor. This parallel thyroid hormone nuclear receptor system was used as a "guide" in optimizing the RNR assay for ultra-high-throughput screening in 3,456-well nanoplate format. The assay was successfully used to screen a large compound collection for RNR agonists. In this study we demonstrated the feasibility of developing and optimization of the high-throughput screening-compatible assay for the orphan nuclear receptor in the absence of its cognitive ligand.

Miniaturization of whole live cell-based GPCR assays using microdispensing and detection systems.

Cell-based beta-lactamase reporter gene assays designed to measure the functional responses of G-protein-coupled receptors (GPCRs) were miniaturized to less than 2 microL total assay volume in a 3456-well microplate. Studies were done to evaluate both receptor agonists and antagonists. The pharmacology of agonists and antagonists for target GPCRs originally developed in a 96-well format was recapitulated in a 3456-well microplate format without compromising data quality or EC(50)/IC(50) precision. These assays were employed in high-throughput screening campaigns, allowing the testing of more than 150,000 compounds in 8 h. The instrumentation used and practical aspects of the assay development are discussed.

Development of an intact cell reporter gene beta-lactamase assay for G protein-coupled receptors for high-throughput screening.

G protein-coupled receptors (GPCRs) are involved in a large variety of physiological disorders, and are thus important pharmaceutical drug targets. Here, we describe the development and characterization of a beta-lactamase reporter gene assay as a functional readout for the ligand-induced activation of the human bradykinin B1 receptor, expressed recombinantly in CHO cells. The beta-lactamase reporter gene assay provides high sensitivity due to the absence of endogenous beta-lactamase activity in mammalian cells. The cell-permeable fluorogenic substrate allows single-cell cloning of cells expressing functional BK1 receptors. Pharmacological characterization reveals comparable sensitivity and potency of known BK1 receptor agonists and antagonists between the beta-lactamase assay, competition-binding assay, and other direct measurements of second messengers. The beta-lactamase assay has been optimized for cell density, time of agonist stimulation, and DMSO sensitivity. This CHO-hBK1-beta-lactamase assay is well suited to automation and miniaturization required for high-throughput screening.

Miniaturization of cell-based beta-lactamase-dependent FRET assays to ultra-high throughput formats to identify agonists of human liver X receptors.

Activation of liver X receptors (LXRs) induces reverse cholesterol transport and increases high-density lipoprotein cholesterol in vivo. Here, we describe novel, functional, homogeneous cell-based fluorescence resonance energy transfer assays for identifying agonists of LXRs using beta-lactamase as the reporter gene. Stable Chinese hamster ovary cell lines expressing LXRalpha-GAL4 or LXRbeta-GAL4 fusion proteins that regulate beta-lactamase transcription from upstream 7 x UAS GAL4 DNA binding sequences were generated and characterized. Synthetic and natural ligands of LXR dose-dependently activated the expression of beta-lactamase in a subtype-specific manner. These assays were used to demonstrate that a 1-pyridyl hydantoin small molecule LXR synthetic ligand specifically activates LXRalpha receptors. The beta-lactamase assays were optimized for cell density, dimethyl sulfoxide sensitivity, and time of agonist stimulation. Clonal LXRbeta-GAL4-beta-lactamase cells were miniaturized into an ultra high throughput (3456-well nanoplates) screening format.