scholarly journals Protocol development for discovery of angiogenesis inhibitors via automated methods using zebrafish

2019 ◽  
Author(s):  
Antonio Mauro ◽  
Robin Ng ◽  
Jamie Yuanjun Li ◽  
Rui Guan ◽  
Youdong Wang ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Angiogenesis Inhibitor ◽  
Angiogenesis Inhibitors ◽  
Inhibitory Effect ◽  
Human Errors ◽  
High Fecundity ◽  
Protocol Development ◽  
Compound Libraries ◽  
Automated Methods

AbstractTheir optical clarity as larvae and embryos, small size, and high fecundity make zebrafish ideal for whole animal high throughput screening. A high-throughput drug discovery platform (HTP) has been built to perform fully automated screens of compound libraries with zebrafish embryos. A Tg(Flk1:EGFP) line, marking endothelial cell cytoplasm, was used in this work to help develop protocols and functional algorithms for the system, with the intent of screening for angiogenesis inhibitors. Indirubin 3’ Monoxime (I3M), a known angiogenesis inhibitor, was used at various concentrations to validate the protocols. Consistent with previous studies, a dose dependant inhibitory effect of I3M on angiogenesis was confirmed. The methods and protocols developed here could significantly increase the throughput of drug screens, while limiting human errors. These methods are expected to facilitate the discovery of novel anti-angiogenesis compounds and can be adapted for many other applications in which samples have a good fluorescent signal.

scholarly journals A Fully Automated High-Throughput Flow Cytometry Screening System Enabling Phenotypic Drug Discovery

2018 ◽  
Vol 23 (7) ◽  
pp. 697-707 ◽  
Author(s):  
John Joslin ◽  
James Gilligan ◽  
Paul Anderson ◽  
Catherine Garcia ◽  
Orzala Sharif ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Drug Discovery ◽  
High Throughput ◽  
High Throughput Screening ◽  
Screening System ◽  
Preclinical Development ◽  
Drug Identification ◽  
Therapeutic Setting ◽  
Compound Libraries ◽  
Automated Platform

The goal of high-throughput screening is to enable screening of compound libraries in an automated manner to identify quality starting points for optimization. This often involves screening a large diversity of compounds in an assay that preserves a connection to the disease pathology. Phenotypic screening is a powerful tool for drug identification, in that assays can be run without prior understanding of the target and with primary cells that closely mimic the therapeutic setting. Advanced automation and high-content imaging have enabled many complex assays, but these are still relatively slow and low throughput. To address this limitation, we have developed an automated workflow that is dedicated to processing complex phenotypic assays for flow cytometry. The system can achieve a throughput of 50,000 wells per day, resulting in a fully automated platform that enables robust phenotypic drug discovery. Over the past 5 years, this screening system has been used for a variety of drug discovery programs, across many disease areas, with many molecules advancing quickly into preclinical development and into the clinic. This report will highlight a diversity of approaches that automated flow cytometry has enabled for phenotypic drug discovery.

scholarly journals Drug discovery from Nature: automated high-quality sample preparation

2000 ◽  
Vol 22 (5) ◽  
pp. 149-157 ◽  
Author(s):  
Ralf Thiericke
Keyword(s):  
Drug Discovery ◽  
Sample Preparation ◽  
High Throughput ◽  
High Throughput Screening ◽  
Solid Phase ◽  
Structural Diversity ◽  
Synthetic Compound ◽  
Natural Origin ◽  
Screening Programs ◽  
Compound Libraries

Secondary metabolites from plants, animals and microorganisms have been proven to be an outstanding source for new and innovative drugs and show a striking structural diversity that supplements chemically synthesized compounds or libraries in drug discovery programs. Unfortunately, extracts from natural sources are usually complex mixtures of compounds:: often generated in time consuming and for the most part manual processes. As quality and quantity of the provided samples play a pivotal role in the success of high-throughput screening programs this poses serious problems. In order to make samples of natural origin competitive with synthetic compound libraries, we devised a novel, automated sample preparation procedure based on solid-phase extraction (SPE). By making use of a modified Zymark RapidTrace®SPE workstation an easy-to-handle and effective fractionation method has been developed which allows the generation of highquality samples from natural origin, fulfilling the requirements of an integration into high-throughput screening programs.

scholarly journals ZF-AutoML: An Easy Machine-Learning-Based Method to Detect Anomalies in Fluorescent-Labelled Zebrafish

Inventions ◽  
2019 ◽  
Vol 4 (4) ◽  
pp. 72
Author(s):  
Ryota Sawaki ◽  
Daisuke Sato ◽  
Hiroko Nakayama ◽  
Yuki Nakagawa ◽  
Yasuhito Shimada
Keyword(s):  
Machine Learning ◽  
Image Analysis ◽  
High Throughput ◽  
High Throughput Screening ◽  
Large Scale ◽  
Fluorescent Protein ◽  
Learning Program ◽  
High Throughput Analysis ◽  
Easy Method ◽  
High Fecundity

Background: Zebrafish are efficient animal models for conducting whole organism drug testing and toxicological evaluation of chemicals. They are frequently used for high-throughput screening owing to their high fecundity. Peripheral experimental equipment and analytical software are required for zebrafish screening, which need to be further developed. Machine learning has emerged as a powerful tool for large-scale image analysis and has been applied in zebrafish research as well. However, its use by individual researchers is restricted due to the cost and the procedure of machine learning for specific research purposes. Methods: We developed a simple and easy method for zebrafish image analysis, particularly fluorescent labelled ones, using the free machine learning program Google AutoML. We performed machine learning using vascular- and macrophage-Enhanced Green Fluorescent Protein (EGFP) fishes under normal and abnormal conditions (treated with anti-angiogenesis drugs or by wounding the caudal fin). Then, we tested the system using a new set of zebrafish images. Results: While machine learning can detect abnormalities in the fish in both strains with more than 95% accuracy, the learning procedure needs image pre-processing for the images of the macrophage-EGFP fishes. In addition, we developed a batch uploading software, ZF-ImageR, for Windows (.exe) and MacOS (.app) to enable high-throughput analysis using AutoML. Conclusions: We established a protocol to utilize conventional machine learning platforms for analyzing zebrafish phenotypes, which enables fluorescence-based, phenotype-driven zebrafish screening.

scholarly journals Identification of Angiogenesis Inhibitors Using a Co-culture Cell Model in a High-Content and High-Throughput Screening Platform

2017 ◽  
Vol 23 (3) ◽  
pp. 217-225 ◽  
Author(s):  
Shuaizhang Li ◽  
Chia-Wen Hsu ◽  
Srilatha Sakamuru ◽  
Chaozhong Zou ◽  
Ruili Huang ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Cell Model ◽  
Hypoxia Inducible Factor ◽  
Angiogenesis Inhibitors ◽  
Culture Cell ◽  
Tube Formation ◽  
Tumor Formation ◽  
Human Telomerase Reverse Transcriptase

Angiogenesis is an important hallmark of cancer, contributing to tumor formation and metastasis. In vitro angiogenesis models for analyzing tube formation serve as useful tools to study these processes. However, current in vitro co-culture models using primary cells have limitations in usefulness and consistency. Therefore, in the present study, an in vitro co-culture assay system was optimized in a 1536-well format for high-throughput screening using human telomerase reverse transcriptase (hTERT)–immortalized mesenchymal stem cells and aortic endothelial cells. The National Center for Advancing Translational Sciences (NCATS) Pharmaceutical Collection (NPC) library containing 2816 drugs was evaluated using the in vitro co-culture assay. From the screen, 35 potent inhibitors (IC50 ≤1 µM) were identified, followed by 15 weaker inhibitors (IC50 1–50 µM). Moreover, many known angiogenesis inhibitors were identified, such as topotecan, docetaxel, and bortezomib. Several potential novel angiogenesis inhibitors were also identified from this study, including thimerosal and podofilox. Among the inhibitors, some compounds were proved to be involved in the hypoxia-inducible factor-1α (HIF-1α) and the nuclear factor-kappa B (NF-κB) pathways. The co-culture model developed by using hTERT-immortalized cell lines described in this report provides a consistent and robust in vitro system for antiangiogenic drug screening.

scholarly journals Multidimensional Profiling of CSF1R Screening Hits and Inhibitors

2011 ◽  
Vol 16 (9) ◽  
pp. 1007-1017 ◽  
Author(s):  
Joost C. M. Uitdehaag ◽  
Cecile M. Sünnen ◽  
Antoon M. van Doornmalen ◽  
Nikki de Rouw ◽  
Arthur Oubrie ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Active Form ◽  
Dissociation Rate ◽  
The Past ◽  
Compound Libraries ◽  
Competitive Kinetics ◽  
Homogeneous Assay ◽  
High Throughput Assay ◽  
Stimulating Factor

Over the past years, improvements in high-throughput screening (HTS) technology and compound libraries have resulted in a dramatic increase in the amounts of good-quality screening hits, and there is a growing need for follow-on hit profiling assays with medium throughput to further triage hits. Here the authors present such assays for the colony-stimulating factor 1 receptor (CSF1R, Fms), including tests for cellular activity and a homogeneous assay to measure affinity for inactive CSF1R. They also present a high-throughput assay to measure target residence time, which is based on competitive binding kinetics. To better fit koff rates, they present a modified mathematical model for competitive kinetics. In all assays, they profiled eight reference inhibitors (imatinib, sorafenib, sunitinib, tandutinib, dasatinib, GW2580, Ki20227, and J&J’s pyrido[2,3-d]pyrimidin-5-one). Using the known biochemical selectivities of these inhibitors, which can be quantified using metrics such as the selectivity entropy, the authors have determined which assay readout best predicts hit selectivity. Their profiling shows surprisingly that imatinib has a preference for the active form of CSF1R and that Ki20227 has an unusually slow target dissociation rate. This confirms that follow-on hit profiling is essential to ensure that the best hits are selected for lead optimization.

scholarly journals High-Density Miniaturized Thermal Shift Assays as a General Strategy for Drug Discovery

2001 ◽  
Vol 6 (6) ◽  
pp. 429-440 ◽  
Author(s):  
Michael W. Pantoliano ◽  
Eugene C. Petrella ◽  
Joseph D. Kwasnoski ◽  
Victor S. Lobanov ◽  
James Myslik ◽  
...  
Keyword(s):  
Drug Discovery ◽  
Ligand Binding ◽  
High Throughput ◽  
High Throughput Screening ◽  
Screening Strategy ◽  
General Strategy ◽  
General Applicability ◽  
High Throughput Drug Screening ◽  
Compound Libraries ◽  
Thermal Shift

More general and universally applicable drug discovery assay technologies are needed in order to keep pace with the recent advances in combinatorial chemistry and genomics-based target generation. Ligand-induced conformational stabilization of proteins is a well-understood phenomenon in which substrates, inhibitors, cofactors, and even other proteins provide enhanced stability to proteins on binding. This phenomenon is based on the energetic coupling of the ligand-binding and protein-melting reactions. In an attempt to harness these biophysical properties for drug discovery, fully automated instrumentation was designed and implemented to perform miniaturized fluorescence-based thermal shift assays in a microplate format for the high throughput screening of compound libraries. Validation of this process and instrumentation was achieved by investigating ligand binding to more than 100 protein targets. The general applicability of the thermal shift screening strategy was found to be an important advantage because it circumvents the need to design and retool new assays with each new therapeutic target. Moreover, the miniaturized thermal shift assay methodology does not require any prior knowledge of a therapeutic target's function, making it ideally suited for the quantitative high throughput drug screening and evaluation of targets derived from genomics.

High-Throughput Screening with HyperCyt® Flow Cytometry to Detect Small Molecule Formylpeptide Receptor Ligands

2005 ◽  
Vol 10 (4) ◽  
pp. 374-382 ◽  
Author(s):  
Susan M. Young ◽  
Cristian Bologa ◽  
Eric R. Prossnitz ◽  
Tudor I. Oprea ◽  
Larry A. Sklar ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
High Throughput ◽  
High Throughput Screening ◽  
Receptor Ligands ◽  
Chemical Library ◽  
Assay Sensitivity ◽  
Compound Libraries ◽  
Analysis System ◽  
G Protein Coupled ◽  
Formylpeptide Receptor

High-throughput flow cytometry (HTFC), enabled by faster automated sample processing, represents a promising high- content approach for compound library screening. HyperCyt® is a recently developed automated HTFC analysis system by which cell samples are rapidly aspirated from microplate wells and delivered to the flow cytometer. The formylpeptide receptor (FPR) family of G protein–coupled receptors contributes to the localization and activation of tissue-damaging leukocytes at sites of chronic inflammation. Here, the authors describe development and application of an HTFC screening approach to detect potential anti-inflammatory compounds that block ligand binding to FPR. Using a homogeneous no-wash assay, samples were routinely processed at 1.5 s/well (~2500 cells analyzed/sample), allowing a 96-well plate to be processed in less than 2.5 min. Assay sensitivity and accuracy were validated by detection of a previously documented active compound with relatively low FPR affinity (sulfinpyrazone, inhibition constant [Ki]=14 μM) from among a collection of 880 compounds in the Prestwick Chemical Library. The HyperCyt® system was therefore demonstrated to be a robust, sensitive, and highly quantitative method with which to screen lead compound libraries in a 96-well format.

scholarly journals A Cell-Based Ultra-High-Throughput Screening Assay for Identifying Inhibitors of D-Amino Acid Oxidase

2006 ◽  
Vol 11 (5) ◽  
pp. 481-487 ◽  
Author(s):  
Philip E. Brandish ◽  
Chi-Sung Chiu ◽  
Jonathan Schneeweis ◽  
Nicholas J. Brandon ◽  
Clare L. Leech ◽  
...  
Keyword(s):  
Amino Acid ◽  
High Throughput ◽  
High Throughput Screening ◽  
Hormone Receptors ◽  
Chinese Hamster ◽  
Acid Oxidase ◽  
Amino Acid Oxidase ◽  
Compound Libraries ◽  
High Throughput Screening Assay ◽  
Artificial Environment

Enzymes are often considered less “druggable” targets than ligand-regulated proteins such as G-protein-coupled receptors, ion channels, or other hormone receptors. Reasons for this include cellular location (intracellular vs. cell surface), typically lower affinities for the binding of small molecules compared to ligand-specific receptors, and binding (catalytic) sites that are often charged or highly polar. A practical drawback to the discovery of compounds targeting enzymes is that screening of compound libraries is typically carried out in cell-free activity assays using purified protein in an inherently artificial environment. Cell-based assays, although often arduous to design for enzyme targets, are the preferred discovery tool for the screening of large compound libraries. The authors have recently described a novel cell-based approach to screening for inhibitors of a phosphatase enzyme and now report on the development and implementation of a homogeneous 3456-well plate assay for D-amino acid oxidase (DAO). Human DAO was stably expressed in Chinese hamster ovary (CHO) cells, and its activity was measured as the amount of hydrogen peroxide detected in the growth medium following feeding the cells with D-serine. In less than 12 weeks, the authors proved the concept in 96-and then 384-well formats, miniaturized the assay to the 3456-well (nanoplate) scale, and screened a library containing more than 1 million compounds. They have identified several cell-permeable inhibitors of DAO from this cell-based high-throughput screening, which provided the discovery program with a few novel and attractive lead structures.

Solution-Based Indirect Affinity Selection Mass Spectrometry—A General Tool For High-Throughput Screening Of Pharmaceutical Compound Libraries

2014 ◽  
Vol 86 (15) ◽  
pp. 7413-7420 ◽  
Author(s):  
Thomas N. O’Connell ◽  
Jason Ramsay ◽  
Steven F. Rieth ◽  
Michael J. Shapiro ◽  
Justin G. Stroh
Keyword(s):  
Mass Spectrometry ◽  
High Throughput ◽  
High Throughput Screening ◽  
Affinity Selection ◽  
Pharmaceutical Compound ◽  
Compound Libraries ◽  
General Tool
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