基于微流控技术的细胞水平高通量药物筛选系统的研究进展

药物筛选是新药研发的关键步骤,创新药物的发现需要采用适当的药物作用靶点对大量化合物样品进行筛选.高通量筛选系统能够实现数千个反应同时测试和分析,大大提高了药物筛选的实验规模和效率.其中基于细胞水平的高通量药物筛选系统因为更加接近人体生理条件,成为主要的筛选模式.而目前发展成熟的高通量细胞筛选系统主要基于多孔板,存在细胞...     

Microfluidics for cell-based high throughput screening platforms—A review

In the last decades, the basic techniques of microfluidics for the study of cells such as cell culture, cell separation, and cell lysis, have been well developed. Based on cell handling techniques, microfluidics has been widely applied in the field of PCR (Polymerase Chain Reaction), immunoassays, organ-on-chip, stem cell research, and analysis and identification of circulating tumor cells. As a major step in drug discovery, high-throughput screening allows rapid analysis of thousands of chemical, biochemical, genetic or pharmacological tests in parallel. In this review, we summarize the application of microfluidics in cell-based high throughput screening. The screening methods mentioned in this paper include approaches using the perfusion flow mode, the droplet mode, and the microarray mode. We also discuss the future development of microfluidic based high throughput screening platform for drug discovery.     

Bioluminescence and chemiluminescence in drug screening

Drug screening, that is, the evaluation of the biological activity of candidate drug molecules, is a key step in the drug discovery and development process. In recent years, high-throughput screening assays have become indispensable for early stage drug discovery because of the developments in synthesis technologies, such as combinatorial chemistry and automated synthesis, and the discovery of an increasing number of new pharmacological targets.Bioluminescence and chemiluminescence represent suitable detection techniques for high-throughput screening because they allow rapid and sensitive detection of the analytes and can be applied to small-volume samples. In this paper we report on recent applications of bioluminescence and chemiluminescence in drug screening, both for in vitro and in vivo assays. Particular attention is devoted to the latest and most innovative bioluminescence and chemiluminescence-based technologies for drug screening, such as assays based on genetically modified cells, bioluminescence resonance energy transfer (BRET)-based assays, and in vivo imaging assays using transgenic animals or bioluminescent markers. The possible relevance of bioluminescence and chemiluminescence techniques in the future developments of high-throughput screening technologies is also discussed.     

Anti-Obesity Natural Products Tested in Juvenile Zebrafish Obesogenic Tests and Mouse 3T3-L1 Adipogenesis Assays

(1) Background: The obesity epidemic has been drastically progressing in both children and adults worldwide. Pharmacotherapy is considered necessary for its treatment. However, many anti-obesity drugs have been withdrawn from the market due to their adverse effects. Instead, natural products (NPs) have been studied as a source for drug discovery for obesity, with the goal of limiting the adverse effects. Zebrafish are ideal model animals for in vivo testing of anti-obesity NPs, and disease models of several types of obesity have been developed. However, the evidence for zebrafish as an anti-obesity drug screening model are still limited. (2) Methods: We performed anti-adipogenic testing using the juvenile zebrafish obesogenic test (ZOT) and mouse 3T3-L1 preadipocytes using the focused NP library containing 38 NPs and compared their results. (3) Results: Seven and eleven NPs reduced lipid accumulation in zebrafish visceral fat tissues and mouse adipocytes, respectively. Of these, five NPs suppressed lipid accumulation in both zebrafish and 3T3-L1 adipocytes. We confirmed that these five NPs (globin-digested peptides, green tea extract, red pepper extract, nobiletin, and Moringa leaf powder) exerted anti-obesity effects in diet-induced obese adult zebrafish. (4) Conclusions: ZOT using juvenile fish can be a high-throughput alternative to ZOT using adult zebrafish and can be applied for in vivo screening to discover novel therapeutics for visceral obesity and potentially also other disorders.     

质谱在高通量快速检测技术中的应用研究进展

质谱是现代分析测试技术中同时具备了灵敏度高、特异性好、分析速度快等特性的普适性方法,现已被广泛应用于食品检验、环境监测、药物筛选、临床医学等众多领域的高通量快速检测技术中。该文针对近年来低分辨质谱、高分辨质谱以及原位电离质谱技术在高通量快速检测,特别是小分子化合物的高通量快速检测中的应用研究进展进行了综述,并对质谱技术用于高通量快速检测的发展趋势及应用前景进行了展望,以期为相关领域的科技人员提供理论支持和技术参考。     

Integration of virtual and high throughput screening in lead discovery settings

In the last decade mass screening strategies became the main source of leads in drug discovery settings. Although high throughput (HTS) and virtual screening (VS) realize the same concept the different nature of these lead discovery strategies (experimental vs theoretical) results that they are typically applied separately. The majority of drug leads are still identified by hit-to-lead optimization of screening hits. Structural information on the target as well as on bound ligands, however, make structure-based and ligand-based virtual screening available for the identification of alternative chemical starting points. Although, the two techniques have rarely been used together on the same target, here we review the existing prominent studies on their true integration. Various approaches have been shown to apply the combination of HTS and VS and to better use them in lead generation. Although several attempts on their integration have only been considered at a conceptual level, there are numerous applications underlining its relevance that early-stage pharmaceutical drug research could benefit from a combined approach.     

Counter-current chromatography for high throughput analysis of natural products

Counter-current chromatography (CCC) is a unique support-free liquid-liquid partition chromatography winning wide applications in the separation of various components from natural or synthetic mixtures. It has been one of the prime methods for isolating compounds from Traditional Chinese Medicines (TCM) and other comprehensive natural products. Although early CCC models produced a long-standing false image that CCC is a time-consuming technique, rapid and high-performance CCC devices and methods for high-throughput analysis of natural mixtures have been advanced. For instances, multi-channel CCC, dual CCC, elution-extrusion CCC, and solvent simplification protocols can provide high-throughput CCC analysis and produce high purity of compounds or large natural product libraries for drug discovery. This review summarizes the recent advancements of CCC in the high-throughput analysis of natural product with an emphasis on the developments of instruments and methods.     

活性导向的化学探针在氨基酸反应活性表征中的应用进展

原创药物的研制得益于蛋白质新靶标的发现,而新靶标的发现依赖于高可信度、高通量的药物-蛋白质相互作用分析方法。蛋白质作为生命功能的执行者,其表达量、空间定位与结构差异直接影响药效的发挥。目前,超过85%的蛋白质尚被认为是无法成药的,主要原因是缺少药物分子靶向的空腔以及相应的反应活性位点。因此,基于蛋白质组学层次实现对氨基酸反应活性位点的表征成为原创共价靶向药物设计的关键,也是克服难以成药靶标蛋白问题的关键。近年来,质谱技术的飞速发展极大地推动了基于蛋白质组学技术的药物-靶蛋白相互作用研究。其中基于活性的蛋白质组分析(ABPP)策略是利用活性位点导向的化学探针分子在复杂样品中实现功能状态酶和药物靶标等蛋白质的检测。基于化学探针的开发和质谱定量技术的发展,ABPP技术在氨基酸反应活性表征研究中展现出重要的应用潜力,将助力于药物新靶标的发现和药物先导化合物的开发。ABPP策略主要基于蛋白质的活性特征进行富集,活性探针作为ABPP策略的核心,近年来取得了飞速进展。该文回顾了ABPP策略的发展历程,重点介绍基于广谱活性探针的ABPP技术在多种氨基酸反应活性筛选领域的研究进展,并对其在药物靶点发现中...     

A fully integrated high-throughput screening methodology for the discovery of new polyolefin catalysts: discovery of a new class of high temperature single-site group (IV) copolymerization catalysts

For the first time, new catalysts for olefin polymerization have been discovered through the application of fully integrated high-throughput primary and secondary screening techniques supported by rapid polymer characterization methods. Microscale 1-octene primary screening polymerization experiments combining arrays of ligands with reactive metal complexes M(CH(2)Ph)(4) (M = Zr, Hf) and multiple activation conditions represent a new high-throughput technique for discovering novel group (IV) polymerization catalysts. The primary screening methods described here have been validated using a commercially relevant polyolefin catalyst, and implemented rapidly to discover the new amide-ether based hafnium catalyst [eta(2)-(N,O)[bond](2-MeO[bond]C(6)H(4))(2,4,6-Me(3)C(6)H(2))N]Hf(CH(2)Ph)(3) (1), which is capable of polymerizing 1-octene to high conversion. The molecular structure of 1 has been determined by X-ray diffraction. Larger scale secondary screening experiments performed on a focused 96-member amine-ether library demonstrated the versatile high temperature ethylene-1-octene copolymerization capabilities of this catalyst class, and led to significant performance improvements over the initial primary screening discovery. Conventional one gallon batch reactor copolymerizations performed using selected amide-ether hafnium compounds confirmed the performance features of this new catalyst class, serving to fully validate the experimental results from the high-throughput approaches described herein.     

Machine Learning Methods in Drug Discovery

The advancements of information technology and related processing techniques have created a fertile base for progress in many scientific fields and industries. In the fields of drug discovery and development, machine learning techniques have been used for the development of novel drug candidates. The methods for designing drug targets and novel drug discovery now routinely combine machine learning and deep learning algorithms to enhance the efficiency, efficacy, and quality of developed outputs. The generation and incorporation of big data, through technologies such as high-throughput screening and high through-put computational analysis of databases used for both lead and target discovery, has increased the reliability of the machine learning and deep learning incorporated techniques. The use of these virtual screening and encompassing online information has also been highlighted in developing lead synthesis pathways. In this review, machine learning and deep learning algorithms utilized in drug discovery and associated techniques will be discussed. The applications that produce promising results and methods will be reviewed.     

Engineered synapse model cell: genetic construction and chemical evaluation for reproducible high-throughput analysis

Bioassay models of neural functions must lend themselves to high-throughput analysis in neural drug discovery. However, smart analysis methods for these functions have not yet been fully established. Here, we describe the development of a synapse model for cell-based biosensing. The engineered synapse model cell expresses ionotropic glutamate receptor on its surface, like the neural postsynaptic membrane. The advantages of the model cell are the ease of handling and reproducibility as compared with the cultured neural cell, and it can be employed to evaluate receptor function through ion flux analysis. The agonist-induced sodium influx was monitored as an agonist concentration-dependent increase in the observed fluorescence signal. Furthermore, we found that our model cell enables the correction of uneven cellular signal levels using a reporter system. Our engineered synapse model cell can be employed as a powerful tool for the screening of lead substances in pharmaceutical high-throughput analysis.     

A New Microplate Screening Method for the Simultaneous Activity Quantification of Feruloyl Esterases, Tannases, and Chlorogenate Esterases

Feruloyl, chlorogenate esterases, and tannases are enzymes useful in phenolic modifications of pharmaceutical relevance as protectors against several degenerative human diseases. Therefore, there is a growing interest in discovering new sources of these enzymes. However, traditional methods for their activity measurements are time-consuming and poorly adapted for high-throughput screening. In this study, a successful new microplate high-throughput screening method for the simultaneous quantification of all mentioned activities is demonstrated. This method allows the detection of activities as low as 1.7 mU ml(-1). Furthermore, reaction rates increased proportionally with the amount of enzyme added, and no interferences with the other commercial hydrolases tested were found. The utility of the method was demonstrated after simultaneously screening feruloyl, chlorogenate esterase, and tannase activities in solid state fermentation extracts obtained during the kinetics of production of 20 fungal strains. Among these, seven strains were positive for at least one of the esterase activities tested. This result shows the potential for the rapid routine screening assays for multiple samples of moderate low to high enzymatic levels.     

Chemical and biological integrity in natural products screening

Due to pressure from combinatorial chemistry and the streamlining of the drug discovery process through automated high-throughput screening technologies, pharmaceutically based natural products programs are under increasing scrutiny. However by taking advantages of technologies originally developed for high-throughput screening and combinatorial chemistry and applying them to processes considered as bottlenecks in classical natural products chemistry (purification, structure elucidation, sample availability) it is our opinion that natural products can still contribute to the effective discovery of novel bioactive and pharmaceutically relevant metabolites. We describe here several such strategies that if universally implemented, will demonstrate i) whether chemical diversity is truly being accessed, ii) that novel metabolites can be formatted in a manner appropriate for modern screening paradigms, and iii) that natural products can be rapidly identified not only for novelty and pharmaceutical relevance but to assess their true biological origin.     

The role of in vitro ADME assays in antimalarial drug discovery and development

The high level of attrition of drugs in clinical development has led pharmaceutical companies to increase the efficiency of their lead identification and development through techniques such as combinatorial chemistry and high-throughput (HTP) screening. Since the major reasons for clinical drug candidate failure other than efficacy are pharmacokinetics and toxicity, attention has been focused on assessing properties such as metabolic stability, drug-drug interactions (DDI), and absorption earlier in the drug discovery process. Animal studies are simply too labor-intensive and expensive to use for evaluating every hit, so it has been necessary to develop and implement higher throughput in vitro ADME screens to manage the large number of compounds of interest. The antimalarial drug development program at the Walter Reed Army Institute of Research, Division of Experimental Therapeutics (WRAIR/ET) has adopted this paradigm in its search for a long-term prophylactic for the prevention of malaria. The overarching goal of this program is to develop new, long half-life, orally bioavailable compounds with potent intrinsic activity against liver- and blood-stage parasites. From the WRAIR HTP antimalarial screen, numerous compounds are regularly identified with potent activity. These hits are now immediately evaluated using a panel of in vitro ADME screens to identify and predict compounds that will meet our specific treatment criteria. In this review, the WRAIR ADME screening program for antimalarial drugs is described as well as how we have implemented it to predict the ADME properties of small molecule for the identification of promising drug candidates.     

Integrating virtual screening and combinatorial chemistry for accelerated drug discovery

Virtual screening is increasingly being used in drug discovery programs with a growing number of successful applications. Experimental methodologies developed to speed up the drug discovery processes include high-throughput screening and combinatorial chemistry. The complementarities between computational and experimental screenings have been recognized and reviewed in the literature. Computational methods have also been used in the combinatorial chemistry field, in particular in library design. However, the integration of computational and combinatorial chemistry screenings has been attempted only recently. Combinatorial libraries (experimental or virtual) represent a notable source of chemically related compounds. Advances in combinatorial chemistry and deconvolution strategies, have enabled the rapid exploration of novel and dense regions in the chemical space. The present review is focused on the integration of virtual and experimental screening of combinatorial libraries. Applications of virtual screening to discover novel anticancer agents and our ongoing efforts towards the integration of virtual screening and combinatorial chemistry are also discussed.     

Biomimetic modeling of oxidative drug metabolism

The prediction of drug metabolism is an important task in drug development. Besides well-established in vitro and in vivo methods using biological matrices, several biomimetic models have been developed. This review summarizes three different nonenzymatic strategies, including metalloporphyrins as surrogates of the active centre of cytochrome P450, Fenton’s reagent, and the electrochemical oxidation of drug compounds. Although none of the systems can simulate the whole range of cytochrome P450-catalyzed reactions adequately, the biomimetic models show some advantages over standard in vitro methods. For example, metalloporpyhrin catalysts allow the synthesis of certain metabolites in sufficient amounts and with sufficient purities to permit characterization and further pharmacological and toxicological tests. The electrochemical generation of metabolites coupled on-line to liquid chromatography/mass spectrometry is a promising tool for studying reactive metabolites and can be applied in automated high-throughput screening approaches. In this paper, detailed comparisons with cytochrome P450 catalysis are drawn, advantages and disadvantages of the respective methods are revealed, and possible applications are discussed.     

Advanced analytical tools in proteomics

Proteomics deals with the study of proteins, their structures, localizations, posttranslational modifications, functions and interactions with other proteins. The mapping of protein structure-function holds the key to a better understanding of cellular functions under both normal and disease states, which is critical for modern drug discovery. However, the study of human proteome presents scientists with a task much more daunting than the human genome project. In fact, the estimated >100,000 different proteins expressed from 30,000 to 40,000 human genes make it extremely challenging, if not impossible with existing protein analysis techniques, to map the entire cellular functions at the translational level. Consequently, there have been rapid advances in the techniques and methods capable of large-scale proteomic studies. Among them, the recently developed high-throughput screening methods have enabled scientists to analyze proteins quickly and efficiently at an organism-wide scale. Herein, we overview some of these emerging tools for high-throughput protein analysis. In particular, we focus on recent advances in the bioassay development, which has provided sensitive and selective tools for high-throughput identification and characterizations of enzymes. Finally, the recently developed bioimaging techniques to visualize and quantify proteins in living cells are also discussed.     

New strategies in drug discovery for GPCRs: high throughput detection of cellular ERK phosphorylation

G-protein coupled receptors (GPCRs) are a large family of receptors for a wide range of stimulants, including hormones, neurotransmitters, and taste and olfactory chemicals. Due to their broad involvement in cellular responses, GPCRs affect many important body functions both in health and disease. Compared to other receptor families, the GPCRs have been a rich source of extracellularly-acting pharmaceuticals, due largely to the fact that many GPCR ligands are small molecules when compared with ligands for other receptors, such as the tyrosine kinase receptor family. This has allowed the development of small molecule modulators of receptor function that act on specific GPCRs, such as those involved in cardiovascular regulation. However, at several levels, current screening technologies of drug development for GPCRs are lacking. Firstly, responses from many GPCRs, such as the Gi-coupled GPCRs, are not easily measured in large screening programs by current techniques. Secondly, there are few options for detecting agonists of orphan GPCRs. Thirdly, it is now clear that the signaling from GPCRs is more complex than once thought, and the measurement of Ca(2+) and cAMP can account for only a fraction of the biological information emanating from an activated GPCR. Studies of the discrete and sometimes separable activation of the Ras/Raf/Mek/ERK cascade by many GPCRs is likely to offer development of new agonists and antagonists, contribute to new pharmacologies from receptors, and raise the potential for novel drug candidates in this important area of biology. Downstream activation of the ERK pathway, with or without transactivation of growth factor receptors, has not been measurable by high throughput methodologies. This article presents recent advances and associated applications for screening of GPCRs and other receptor species through the rapid measurement of protein phosphorylation events, such as ERK phosphorylation, as new readouts for drug discovery.     

An integrated microfluidic device for the high-throughput screening of microalgal cell culture conditions that induce high growth rate and lipid content

This study describes the development of a microfluidic device for the high-throughput screening of culture conditions, such as the optimum sodium acetate concentration for promoting rapid growth and high lipid accumulation of Chlamydomonas reinhardtii. An analysis of the microalgal growth on the microfluidic device revealed an optimum sodium acetate concentration of 5.72 g L^?1. The lipid content, determined by the 4,4-Difluoro-1,3,5,7-tetramethyl-4-bora-3a,4a-diaza-s-indacene (BODIPY® 505/515) staining method, increased with the sodium acetate concentration. The results were found to be statistically reproducible with respect to cell growth and lipid production. Other nutrient conditions, including the nitrogen and phosphorus concentrations, can also be optimized on the same microfluidic platform. The microfluidic device performance results agreed well with the results obtained from the flask-scale experiments, validating that the culture conditions were scalable. Finally, we, for the first time, established a method for the absolute quantification of the microalgal lipid content in the picoliter culture volumes by comparing the on-chip and off-chip data. In conclusion, we successfully demonstrated the high-throughput screening of sodium acetate concentrations that induced high growth rates and high lipid contents in C. reinhardtii cells on the microfluidic device.