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High Throughput Screening

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Cover of 'High Throughput Screening'

Table of Contents

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    Book Overview
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    Chapter 1 Design and Implementation of High-Throughput Screening Assays
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    Chapter 2 Characterization of Inhibitor Binding Through Multiple Inhibitor Analysis: A Novel Local Fitting Method
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    Chapter 3 High Throughput Screening
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    Chapter 4 Structure-Based Virtual Screening of Commercially Available Compound Libraries
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    Chapter 5 AlphaScreen-Based Assays: Ultra-High-Throughput Screening for Small-Molecule Inhibitors of Challenging Enzymes and Protein-Protein Interactions
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    Chapter 6 Instrument Quality Control
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    Chapter 7 Application of Fluorescence Polarization in HTS Assays
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    Chapter 8 Time-Resolved Fluorescence Assays
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    Chapter 9 Protein Kinase Selectivity Profiling Using Microfluid Mobility Shift Assays
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    Chapter 10 Screening for Inhibitors of Kinase Autophosphorylation
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    Chapter 11 A Fluorescence-Based High-Throughput Screening Assay to Identify Growth Inhibitors of the Pathogenic Fungus Aspergillus fumigatus
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    Chapter 12 High Throughput Screening
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    Chapter 13 Identification of State-Dependent Blockers for Voltage-Gated Calcium Channels Using a FLIPR-Based Assay
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    Chapter 14 A Luciferase Reporter Gene System for High-Throughput Screening of γ -Globin Gene Activators
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    Chapter 15 A High-Throughput Flow Cytometry Assay for Identification of Inhibitors of 3′,5′-Cyclic Adenosine Monophosphate Efflux
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    Chapter 16 High-Throughput Cell Toxicity Assays
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    Chapter 17 BRET: NanoLuc-Based Bioluminescence Resonance Energy Transfer Platform to Monitor Protein-Protein Interactions in Live Cells
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    Chapter 18 Application of Imaging-Based Assays in Microplate Formats for High-Content Screening
Attention for Chapter 15: A High-Throughput Flow Cytometry Assay for Identification of Inhibitors of 3′,5′-Cyclic Adenosine Monophosphate Efflux
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Chapter title
A High-Throughput Flow Cytometry Assay for Identification of Inhibitors of 3′,5′-Cyclic Adenosine Monophosphate Efflux
Chapter number 15
Book title
High Throughput Screening
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3673-1_15
Pubmed ID
Book ISBNs
978-1-4939-3671-7, 978-1-4939-3673-1
Authors

Dominique Perez, Peter C. Simons, Yelena Smagley, Larry A. Sklar, Alexandre Chigaev, Perez, Dominique, Simons, Peter C., Smagley, Yelena, Sklar, Larry A., Chigaev, Alexandre

Abstract

Assays to identify small molecule inhibitors of cell transporters have long been used to develop potential therapies for reversing drug resistance in cancer cells. In flow cytometry, these approaches rely on the use of fluorescent substrates of transporters. Compounds which prevent the loss of cell fluorescence have typically been pursued as inhibitors of specific transporters, but further drug development has been largely unsuccessful. One possible reason for this low success rate could be a substantial overlap in substrate specificities and functions between transporters of different families. Additionally, the fluorescent substrates are often synthetic dyes that exhibit promiscuity among transporters as well. Here, we describe an assay in which a fluorescent analog of a natural metabolite, 3',5'-cyclic adenosine monophosphate (F-cAMP), is actively effluxed by malignant leukemia cells. The F-cAMP is loaded into the cell cytoplasm using a procedure based on the osmotic lysis of pinocytic vesicles. The flow cytometric analysis of the fluorescence retained in F-cAMP-loaded cells incubated with various compounds can subsequently identify inhibitors of cyclic AMP efflux (ICE).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Professor > Associate Professor 1 13%
Researcher 1 13%
Unknown 4 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 25%
Engineering 2 25%
Immunology and Microbiology 1 13%
Unknown 3 38%