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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 17: BRET: NanoLuc-Based Bioluminescence Resonance Energy Transfer Platform to Monitor Protein-Protein Interactions in Live Cells
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Chapter title
BRET: NanoLuc-Based Bioluminescence Resonance Energy Transfer Platform to Monitor Protein-Protein Interactions in Live Cells
Chapter number 17
Book title
High Throughput Screening
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3673-1_17
Pubmed ID
Book ISBNs
978-1-4939-3671-7, 978-1-4939-3673-1
Authors

Xiu-Lei Mo, Haian Fu, Mo, Xiu-Lei, Fu, Haian

Abstract

Bioluminescence resonance energy transfer (BRET) is a prominent biophysical technology for monitoring molecular interactions, and has been widely used to study protein-protein interactions (PPI) in live cells. This technology requires proteins of interest to be associated with an energy donor (i.e., luciferase) and an acceptor (e.g., fluorescent protein) molecule. Upon interaction of the proteins of interest, the donor and acceptor will be brought into close proximity and energy transfer of chemical reaction-induced luminescence to its corresponding acceptor will result in an increased emission at an acceptor-defined wavelength, generating the BRET signal. We leverage the advantages of the superior optical properties of the NanoLuc(®) luciferase (NLuc) as a BRET donor coupled with Venus, a yellow fluorescent protein, as acceptor. We term this NLuc-based BRET platform "BRET(n)". BRET(n) has been demonstrated to have significantly improved assay performance, compared to previous BRET technologies, in terms of sensitivity and scalability. This chapter describes a step-by-step practical protocol for developing a BRET(n) assay in a multi-well plate format to detect PPIs in live mammalian cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Czechia 1 2%
Unknown 41 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 23%
Student > Ph. D. Student 9 21%
Student > Master 5 12%
Student > Bachelor 3 7%
Student > Doctoral Student 2 5%
Other 5 12%
Unknown 9 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 26%
Chemistry 7 16%
Agricultural and Biological Sciences 5 12%
Pharmacology, Toxicology and Pharmaceutical Science 4 9%
Chemical Engineering 2 5%
Other 2 5%
Unknown 12 28%