Priya Kunapuli

Small interfering RNA screens reveal enhanced cisplatin cytotoxicity in tumor cells having both BRCA network and TP53 disruptions.

ABSTRACT RNA interference technology allows the systematic genetic analysis of the molecular alterations in cancer cells and how these alterations affect response to therapies. Here we used small interfering RNA (siRNA) screens to identify genes that enhance the cytotoxicity (enhancers) of established anticancer chemotherapeutics. Hits identified in drug enhancer screens of cisplatin, gemcitabine, and paclitaxel were largely unique to the drug being tested and could be linked to the drugs mechanism of action. Hits identified by screening of a genome-scale siRNA library for cisplatin enhancers in TP53-deficient HeLa cells were significantly enriched for genes with annotated functions in DNA damage repair as well as poorly characterized genes likely having novel functions in this process. We followed up on a subset of the hits from the cisplatin enhancer screen and validated a number of enhancers whose products interact with BRCA1 and/or BRCA2. TP53+/− matched-pair cell lines were used to determine if knockdown of BRCA1, BRCA2, or validated hits that associate with BRCA1 and BRCA2 selectively enhances cisplatin cytotoxicity in TP53-deficient cells. Silencing of BRCA1, BRCA2, or BRCA1/2-associated genes enhanced cisplatin cytotoxicity ∼4- to 7-fold more in TP53-deficient cells than in matched TP53 wild-type cells. Thus, tumor cells having disruptions in BRCA1/2 network genes and TP53 together are more sensitive to cisplatin than cells with either disruption alone.

Robust statistical methods for hit selection in RNA interference high-throughput screening experiments

RNA interference (RNAi) high-throughput screening (HTS) experiments carried out using large (>5000 short interfering [si]RNA) libraries generate a huge amount of data. In order to use these data to identify the most effective siRNAs tested, it is critical to adopt and develop appropriate statistical methods. To address the questions in hit selection of RNAi HTS, we proposed a quartile-based method which is robust to outliers, true hits and nonsymmetrical data. We compared it with the more traditional tests, mean +/- k standard deviation (SD) and median +/- 3 median of absolute deviation (MAD). The results suggested that the quartile-based method selected more hits than mean +/- k SD under the same preset error rate. The number of hits selected by median +/- k MAD was close to that by the quartile-based method. Further analysis suggested that the quartile-based method had the greatest power in detecting true hits, especially weak or moderate true hits. Our investigation also suggested that platewise analysis (determining effective siRNAs on a plate-by-plate basis) can adjust for systematic errors in different plates, while an experimentwise analysis, in which effective siRNAs are identified in an analysis of the entire experiment, cannot. However, experimentwise analysis may detect a cluster of true positive hits placed together in one or several plates, while platewise analysis may not. To display hit selection results, we designed a specific figure called a plate-well series plot. We thus suggest the following strategy for hit selection in RNAi HTS experiments. First, choose the quartile-based method, or median +/- k MAD, for identifying effective siRNAs. Second, perform the chosen method experimentwise on transformed/normalized data, such as percentage inhibition, to check the possibility of hit clusters. If a cluster of selected hits are observed, repeat the analysis based on untransformed data to determine whether the cluster is due to an artifact in the data. If no clusters of hits are observed, select hits by performing platewise analysis on transformed data. Third, adopt the plate-well series plot to visualize both the data and the hit selection results, as well as to check for artifacts.

Development of an intact cell reporter gene β-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.

Discovery of PDK1 Kinase Inhibitors with a Novel Mechanism of Action by Ultrahigh Throughput Screening

The phosphoinositide 3-kinase/AKT signaling pathway plays a key role in cancer cell growth, survival, and angiogenesis. Phosphoinositide-dependent protein kinase-1 (PDK1) acts at a focal point in this pathway immediately downstream of phosphoinositide 3-kinase and PTEN, where it phosphorylates numerous AGC kinases. The PDK1 kinase domain has at least three ligand-binding sites: the ATP-binding pocket, the peptide substrate-binding site, and a groove in the N-terminal lobe that binds the C-terminal hydrophobic motif of its kinase substrates. Based on the unique PDK1 substrate recognition system, ultrahigh throughput TR-FRET and Alphascreen® screening assays were developed using a biotinylated version of the PDK1-tide substrate containing the activation loop of AKT fused to a pseudo-activated hydrophobic motif peptide. Using full-length PDK1, Km values were determined as 5.6 μm for ATP and 40 nm for the fusion peptide, revealing 50-fold higher affinity compared with the classical AKT(Thr-308)-tide. Kinetic and biophysical studies confirmed the PDK1 catalytic mechanism as a rapid equilibrium random bireactant reaction. Following an ultrahigh throughput screen of a large library, 2,000 compounds were selected from the reconfirmed hits by computational analysis with a focus on novel scaffolds. ATP-competitive hits were deconvoluted by dose-response studies at 1× and 10× Km concentrations of ATP, and specificity of binding was assessed in thermal shift assay. Inhibition studies using fusion PDK1-tide1 substrate versus AKT(Thr-308)-tide and kinase selectivity profiling revealed a novel selective alkaloid scaffold that evidently binds to the PDK1-interacting fragment pocket. Molecular modeling suggests a structural paradigm for the design of inhibitory versus activating allosteric ligands of PDK1.

Miniaturization of Whole Live Cell-Based GPCR Assays Using Microdispensing and Detection Systems

Cell-based β-lactamase reporter gene assays designed to measure the functional responses of G-protein-coupled receptors (GPCRs) were miniaturized to less than 2 μL 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 EC50/IC50 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.

A 1,536-Well cAMP Assay for Gs- and Gi-Coupled Receptors Using Enzyme Fragmentation Complementation

Guanosine triphosphate binding protein (G protein)-coupled receptors (GPCRs) are a large class of pharmaceutical drug targets. With the increasing popularity of functional assays for high throughput screening, there arises an increasing need for robust second messenger assays that reflect GPCR activation and are readily amenable for miniaturization. GPCRs that upon agonist stimulation modulate adenylyl cyclase activity, and, consequently, cellular cyclic adenosine monophosphate (cAMP) levels, via the G protein Gs or Gi, form a subset of therapeutic targets. While there are several cAMP assays currently available, most are not scalable for miniaturization into the 1536-well format employed for automated high throughput screening of large chemical libraries. Here, we describe a cAMP assay based on the enzyme fragmentation complementation (EFC) of beta-galactosidase. In this assay, recombinant cells expressing Gs- or Gi-coupled receptors exhibit robust and reproducible pharmacology for agonists and antagonists, as measured by cAMP levels. Furthermore, the EFC cAMP assay offers sufficient sensitivity to be used with cells expressing endogenous GPCRs. We demonstrate the miniaturization of this assay into a 1536-well format with comparable sensitivity and plate statistics to those of the 384-well assay for both Gs- and Gi-coupled receptors, and its suitability for miniaturized high throughput screening.

Hit selection with false discovery rate control in genome-scale RNAi screens

RNA interference (RNAi) is a modality in which small double-stranded RNA molecules (siRNAs) designed to lead to the degradation of specific mRNAs are introduced into cells or organisms. siRNA libraries have been developed in which siRNAs targeting virtually every gene in the human genome are designed, synthesized and are presented for introduction into cells by transfection in a microtiter plate array. These siRNAs can then be transfected into cells using high-throughput screening (HTS) methodologies. The goal of RNAi HTS is to identify a set of siRNAs that inhibit or activate defined cellular phenotypes. The commonly used analysis methods including median ± kMAD have issues about error rates in multiple hypothesis testing and plate-wise versus experiment-wise analysis. We propose a methodology based on a Bayesian framework to address these issues. Our approach allows for sharing of information across plates in a plate-wise analysis, which obviates the need for choosing either a plate-wise or experimental-wise analysis. The proposed approach incorporates information from reliable controls to achieve a higher power and a balance between the contribution from the samples and control wells. Our approach provides false discovery rate (FDR) control to address multiple testing issues and it is robust to outliers.

Integrating Experimental and Analytic Approaches to Improve Data Quality in Genome-wide RNAi Screens

RNA interference (RNAi) not only plays an important role in drug discovery but can also be developed directly into drugs. RNAi high-throughput screening (HTS) biotechnology allows us to conduct genome-wide RNAi research. A central challenge in genome-wide RNAi research is to integrate both experimental and computational approaches to obtain high quality RNAi HTS assays. Based on our daily practice in RNAi HTS experiments, we propose the implementation of 3 experimental and analytic processes to improve the quality of data from RNAi HTS biotechnology: (1) select effective biological controls; (2) adopt appropriate plate designs to display and/or adjust for systematic errors of measurement; and (3) use effective analytic metrics to assess data quality. The applications in 5 real RNAi HTS experiments demonstrate the effectiveness of integrating these processes to improve data quality. Due to the effectiveness in improving data quality in RNAi HTS experiments, the methods and guidelines contained in the 3 experimental and analytic processes are likely to have broad utility in genome-wide RNAi research. (Journal of Biomolecular Screening 2008:378-389)

Cell imaging assays for G protein-coupled receptor internalization: application to high-throughput screening.

There are a number of assays currently available to study G protein-coupled receptors (GPCRs), including ligand binding and functional assays. The latter category, albeit more complex, offers some obvious advantages over traditional ligand-binding assays. Functional cell-based assays typically include second messenger and reporter gene assays, which depend directly or indirectly on the cellular signaling cascade initiated upon receptor activation, respectively. More recently, cell imaging assays monitoring receptor trafficking are becoming increasingly popular. These assays, described in greater detail in this chapter, are independent of receptor signaling and are thus ideally suited for orphan receptors. In addition, these assays provide a valuable measure of receptor desensitization, an important feature for the use of GPCR agonists as potential therapeutic agents. The most popular GPCR imaging assays are based on the principles of receptor desensitization and internalization monitored directly or indirectly by green fluorescent protein.

A combination of ultrahigh throughput PathHunter and cytokine secretion assays to identify glucocorticoid receptor agonists.

The use of ultrahigh throughput screens (uHTS) is a well-accepted mechanism to identify agonists and antagonists of target receptors. We used the Path Hunter [Path Hunter technology is a registered trademark of DiscoveRx Corporation.] technology from DiscoveRx to screen the entire Merck compound library for glucocorticoid receptor (GR) agonists in a 2.2-microl total reaction volume assayed in a 3456-well plate format. This single addition, homogenous assay which utilizes the principle of enzyme fragment complementation (EFC) to detect nuclear translocation of GR, an initial step of receptor activation, was used to successfully screen a large library of small molecules as indicated by an average signal to background ratio of approximately 4-fold and an average Z-factor value of 0.45. Hits from the HTS campaign were studied in a cytokine secretion assay in primary human monocytes to gain functional information regarding these compounds in a phenotypic and physiologically relevant setting. Our data indicate that using the PathHunter assay, we successfully identified compounds that showed agonism for the GR receptor in primary human monocytes and due to their performance in a physiologically relevant model they likely will have a better chance to evoke clinical efficacy.