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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 13: Identification of State-Dependent Blockers for Voltage-Gated Calcium Channels Using a FLIPR-Based Assay
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Chapter title
Identification of State-Dependent Blockers for Voltage-Gated Calcium Channels Using a FLIPR-Based Assay
Chapter number 13
Book title
High Throughput Screening
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3673-1_13
Pubmed ID
Book ISBNs
978-1-4939-3671-7, 978-1-4939-3673-1
Authors

Alberto di Silvio, JeanFrancois Rolland, Michela Stucchi, Silvio, Alberto di, Rolland, JeanFrancois, Stucchi, Michela

Abstract

The FLIPR (Fluorescent Imaging Plate Reader) system has been extensively used in the early stages of drug discovery for the identification of small molecules as a starting point for drug development, and for the pharmacological characterization of compounds. The main application of the system has been the measurement of intracellular Ca(2+) signals using fluorescent calcium indicators.This chapter describes the application of a protocol for the study and characterization of state-dependent blockers of Voltage-Gated Calcium Channels (VGCC) on the FLIPR(TETRA).The cell line suitable for the application of the protocol, and described hereafter, co-expresses the human CaV1.2 channel and the human inward rectifier K(+) channel Kir2.3. The presence of Kir2.3 allows the modulation of the plasma membrane potential and consequently of the state of the CaV1.2 channel by changing the extracellular K(+) concentration. In this way, CaV1.2 activity can be measured at different membrane voltages, corresponding to either the resting or partial inactivated state, by loading the cells with a calcium probe in extracellular low or high potassium buffer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Professor 1 14%
Student > Bachelor 1 14%
Student > Master 1 14%
Researcher 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Pharmacology, Toxicology and Pharmaceutical Science 1 14%
Agricultural and Biological Sciences 1 14%
Medicine and Dentistry 1 14%
Neuroscience 1 14%
Other 0 0%
Unknown 1 14%