Hypothesis testing in high-throughput screening for drug discovery

Following the success of small-molecule high-throughput screening (HTS) in drug discovery, other large-scale screening techniques are currently revolutionizing the biological sciences. Powerful new statistical tools have been developed to analyze the vast amounts of data in DNA chip studies, but have not yet found their way into compound screening. In HTS, characterization of single-point hit lists is often done only in retrospect after the results of confirmation experiments are available. However, for prioritization, for optimal use of resources, for quality control, and for comparison of screens it would be extremely valuable to predict the rates of false positives and false negatives directly from the primary screening results. Making full use of the available information about compounds and controls contained in HTS results and replicated pilot runs, the Z score and from it the p value can be estimated for each measurement. Based on this consideration, we have applied the concept of p-value distribution analysis (PVDA), which was originally developed for gene expression studies, to HTS data. PVDA allowed prediction of all relevant error rates as well as the rate of true inactives, and excellent agreement with confirmation experiments was found.     

An in vivo platform for rapid high-throughput antitubercular drug discovery

Treatment of tuberculosis, like other infectious diseases, is increasingly hindered by the emergence of drug resistance. Drug discovery efforts would be facilitated by facile screening tools that incorporate the complexities of human disease. Mycobacterium marinum-infected zebrafish larvae recapitulate key aspects of tuberculosis pathogenesis and drug treatment. Here, we develop a model for rapid in vivo drug screening using fluorescence-based methods for serial quantitative assessment of drug efficacy and toxicity. We provide proof-of-concept that both traditional bacterial-targeting antitubercular drugs and newly identified host-targeting drugs would be discovered through the use of this model. We demonstrate the model's utility for the identification of synergistic combinations of antibacterial drugs and demonstrate synergy between bacterial- and host-targeting compounds. Thus, the platform can be used to identify new antibacterial agents and entirely new classes of drugs that thwart infection by targeting host pathways. The methods developed here should be widely applicable to small-molecule screens for other infectious and noninfectious diseases.     

A solid-phase glycosyltransferase assay for high-throughput screening in drug discovery research

Glycosyltransferases mediate changes in glycosylation patterns which, in turn, may affect the function of glycoproteins and/or glycolipids and, further downstream, processes of development, differentiation, transformation and cell-cell recognition. Such enzymes, therefore, represent valid targets for drug discovery. We have developed a solid-phase glycosyltransferase assay for use in a robotic high-throughput format. Carbohydrate acceptors coupled covalently to polyacrylamide are coated onto 96-well plastic plates. The glycosyltransferase reaction is performed with recombinant enzymes and radiolabeled sugar-nucleotide donor at 37°C, followed by washing, addition of scintillation counting fluid, and measurement of radioactivity using a 96-well -counter. Glycopolymer construction and coating of the plastic plates, enzyme and substrate concentrations, and linearity with time were optimized using recombinant Core 2 1-6-N-acetylglucosaminyltransferase (Core 2 GlcNAc-T). This enzyme catalyzes a rate-limiting reaction for expression of polylactosamine and the selectin ligand sialyl-Lewis^x in -glycans. A glycopolymer acceptor for 1-6-N-acetylglucosaminyltransferase V was also designed and shown to be effective in the solid-phase assay. In a high-throughput screen of a microbial extract library, the coefficient of variance for positive controls was 9.4%, and high concordance for hit validation was observed between the Core 2 GlcNAc-T solid-phase assay and a standard solution-phase assay. The solid-phase assay format, which can be adapted for a variety of glycosyltransferase enzymes, allowed a 5–6 fold increase in throughput compared to the corresponding solution-phase assay.     

Use of isogenic human cancer cells for high-throughput screening and drug discovery

Cell-based screening for novel tumor-specific drugs has been compromised by the lack of appropriate control cells. We describe a strategy for drug screening based on isogenic human cancer cell lines in which key tumorigenic genes have been deleted by targeted homologous recombination. As a test case, a yellow fluorescent protein (YFP) expression vector was introduced into the colon cancer cell line DLD-1, and a blue fluorescent protein (BFP) expression vector was introduced into an isogenic derivative in which the mutant K-Ras allele had been deleted. Co-culture of both cell lines allowed facile screening for compounds with selective toxicity toward the mutant Ras genotype. Among 30,000 compounds screened, a novel cytidine nucleoside analog was identified that displayed selective activity in vitro and inhibited tumor xenografts containing mutant Ras. The present data demonstrate a broadly applicable approach for mining therapeutic agents targeted to the specific genetic alterations responsible for cancer development.     

Conditionally immortalized cell lines as model systems for high-throughput biology in drug discovery

There is an increasing emphasis on the need for high-quality biological data much earlier in the drug-discovery process. This has led to the development of high-throughput approaches to biology, many of which rely on the use of cell-culture models. Unfortunately, available cell-culture models often reflect poorly the characteristics of the tissue they are supposed to represent. However, the conditional-immortalization approach as applied by Xcellsyz offers the possibility of producing human cell lines on demand, which are truly representative of the tissue from which they derive.     

From drug to protein: using yeast genetics for high-throughput target discovery

The budding yeast Saccharomyces cerevisiae has long been an effective eukaryotic model system for understanding basic cellular processes. The genetic tractability and ease of manipulation in the laboratory make yeast well suited for large-scale chemical and genetic screens. Several recent studies describing the use of yeast genetics for high-throughput drug target identification are discussed in this review.     

High-content live cell imaging with RNA probes: advancements in high-throughput antimalarial drug discovery

Background  

Malaria, a major public health issue in developing nations, is responsible for more than one million deaths a year. The most lethal species, Plasmodium falciparum, causes up to 90% of fatalities. Drug resistant strains to common therapies have emerged worldwide and recent artemisinin-based combination therapy failures hasten the need for new antimalarial drugs. Discovering novel compounds to be used as antimalarials is expedited by the use of a high-throughput screen (HTS) to detect parasite growth and proliferation. Fluorescent dyes that bind to DNA have replaced expensive traditional radioisotope incorporation for HTS growth assays, but do not give additional information regarding the parasite stage affected by the drug and a better indication of the drug's mode of action. Live cell imaging with RNA dyes, which correlates with cell growth and proliferation, has been limited by the availability of successful commercial dyes.     

Genetic interventions in mammalian cells; applications and uses in high-throughput screening and drug discovery

Functional cellular assays are the bedrock of modern drug discovery. These utilise cellular systems that yield a measurable biochemical product or physiological response to drug stimulation. Often, these functional responses are studied by the introduction of the molecular target of choice into an inert cellular background to create a more discriminating system. There are as many techniques for delivery of the required target gene as there are techniques for studying their function. This article will consider the genetic modification of cell lines in vitro to develop cell-based assays for drug discovery and high-throughput screening.     

FAF-Drugs2: Free ADME/tox filtering tool to assist drug discovery and chemical biology projects

Background  

Drug discovery and chemical biology are exceedingly complex and demanding enterprises. In recent years there are been increasing awareness about the importance of predicting/optimizing the absorption, distribution, metabolism, excretion and toxicity (ADMET) properties of small chemical compounds along the search process rather than at the final stages. Fast methods for evaluating ADMET properties of small molecules often involve applying a set of simple empirical rules (educated guesses) and as such, compound collections' property profiling can be performedin silico. Clearly, these rules cannot assess the full complexity of the human body but can provide valuable information and assist decision-making.     

Feasibility of implementing cell-based pathway reporter assays in early high-throughput screening assay cascades for antibody drug discovery

Implementing functional cell-based screens in early antibody discovery has become increasingly important to select antibodies with the desired profile. However, this is limited by assay tolerance to crude antibody preparations and assay sensitivity. The current study aims to address this challenge and identify routes forward. Two common types of high-throughput screening (HTS) antibody sample, derived from either phage display or hybridoma techniques, have been screened across a wide range of CellSensor beta-lactamase reporter assays in a variety of cell backgrounds to more extensively characterize assay tolerance. Pathway-, sample-, and cell background-specific effects were observed. Reporter assays for agonism were less affected by crude antibody preparations, with 8 of 21 sample tolerant, and the potential to implement an additional 8 assays by choosing the best-tolerated sample type. Antagonist mode assays exhibited more complexity, with potentiating as well as inhibitory effects. However, 5 of 24 antagonist assays were fully tolerant, with the potential to implement an additional 11 assays. Different subsets of assays were affected in agonist versus antagonist mode, and hybridoma sample sets were better tolerated overall. The study clearly demonstrates the potential to use cell-based reporter assays in biologics HTS, particularly if the method of antibody production is considered in the context of the required assay mode (agonist/antagonist).     

Seeing is believing: Applications for nanotechnology in medical imaging and drug discovery

In recent years, progress has been made on in both micro- and nano-sized materials. At the same time, the advances in biology, specifically in genomics, have provided us with a wealth of information that can now be put into research applications and hopefully clinical practice. In our research center in Niskayuna, NY, we have been working on advanced technologies and novel approaches in both areas. Here we show several examples of how we have addressed different topics in our research. In addition, we will show, how we are combining nanotechnology with advanced biology. In particular, we will show examples of using nanoparticles for different applications in vitro and in vivo. We will also show the context for both technology areas and the applications of strategic importance.     

Towards high-throughput functional target discovery in angiogenesis research

Angiogenesis is a hallmark of malignancies and other proliferative diseases, and inhibition of this process is considered to be a promising treatment strategy. Classical gene-expression analyses performed during the past decade have generated vast lists of genes associated with disease but have so far yielded only limited novel therapeutic targets for clinical applications. Recently, the focus has shifted from target identification, based on gene-expression analysis, to identification of genes, based on the function of the encoded protein. Disease-target genes can now be identified in a high-throughput fashion based on functional properties that are directly related to the disease phenotype. This new approach significantly shortens the time span for the development of therapeutic applications from the laboratory bench to the hospital bedside.     

基于酵母水平的高通量药物筛选

随着后基因组时代的到来,越来越多的药物靶标蛋白将会被发现,基于靶标蛋白设计出的化合物也将大量涌现,高通量药物筛选日趋重要。酵母基因组的易操作性及其简单稳定的培养条件,使得该真核微生物成为一种理想的药物筛选工程细胞。本文讨论了选择酵母系统进行细胞水平筛选的优缺点,并从基于靶点和表型两种筛选模式对酵母水平的高通量药物筛选做一总结。     

斑马鱼在新药发现中的应用

在过去20年里,斑马鱼已成为一种重要的模式脊椎动物,在发育、遗传、免疫、肿瘤和毒理等诸多研究领域中被广泛应用。近年来,斑马鱼作为活体模型越来越多地应用于某些生物学过程的药物筛选。通过斑马鱼初步筛选,在药物研发初期可确定化合物的生物学活性、毒性以及副作用等。最近的研究还发现,斑马鱼不仅用于新药筛选,还可用于药物结构的优化。本文重点介绍斑马鱼在新药发现中的应用。     

Digital drug discovery

A report of the Cambridge Healthtech Institute conference 'Beyond Genome', San Franciso, USA, 13-16 June 2005.     

Dual-purpose drug discovery

A hot area in drug discovery focuses on developing small-molecule inhibitors of the epidermal growth factor receptor (EGFR) signaling pathway.