↓ Skip to main content

High-Throughput Screening Assays in Toxicology

Overview of attention for book
Cover of 'High-Throughput Screening Assays in Toxicology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Monitoring Ligand-Activated Protein–Protein Interactions Using Bioluminescent Resonance Energy Transfer (BRET) Assay
  3. Altmetric Badge
    Chapter 2 Mitochondrial Membrane Potential Assay
  4. Altmetric Badge
    Chapter 3 High-Throughput Screening Assays in Toxicology
  5. Altmetric Badge
    Chapter 4 Quantitative High-Throughput Luciferase Screening in Identifying CAR Modulators
  6. Altmetric Badge
    Chapter 5 Transactivation and Coactivator Recruitment Assays for Measuring Farnesoid X Receptor Activity
  7. Altmetric Badge
    Chapter 6 Cell-Based Assay for Identifying the Modulators of Antioxidant Response Element Signaling Pathway
  8. Altmetric Badge
    Chapter 7 Study Liver Cytochrome P450 3A4 Inhibition and Hepatotoxicity Using DMSO-Differentiated HuH-7 Cells
  9. Altmetric Badge
    Chapter 8 Determination of Histone H2AX Phosphorylation in DT40 Cells
  10. Altmetric Badge
    Chapter 9 High-Throughput and High-Content Micronucleus Assay in CHO-K1 Cells
  11. Altmetric Badge
    Chapter 10 High-Throughput Screening Assays in Toxicology
  12. Altmetric Badge
    Chapter 11 High-Throughput Screening Assays in Toxicology
  13. Altmetric Badge
    Chapter 12 A Quantitative High-Throughput Screening Data Analysis Pipeline for Activity Profiling
  14. Altmetric Badge
    Chapter 13 Correction of Microplate Data from High-Throughput Screening
  15. Altmetric Badge
    Chapter 14 CurveP Method for Rendering High-Throughput Screening Dose-Response Data into Digital Fingerprints
  16. Altmetric Badge
    Chapter 15 Accounting Artifacts in High-Throughput Toxicity Assays
  17. Altmetric Badge
    Chapter 16 Accessing the High-Throughput Screening Data Landscape
  18. Altmetric Badge
    Chapter 17 Curating and Preparing High-Throughput Screening Data for Quantitative Structure-Activity Relationship Modeling
Attention for Chapter 5: Transactivation and Coactivator Recruitment Assays for Measuring Farnesoid X Receptor Activity
Altmetric Badge

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
6 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Transactivation and Coactivator Recruitment Assays for Measuring Farnesoid X Receptor Activity
Chapter number 5
Book title
High-Throughput Screening Assays in Toxicology
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6346-1_5
Pubmed ID
Book ISBNs
978-1-4939-6344-7, 978-1-4939-6346-1
Authors

Chia-Wen (Amy) Hsu, Jinghua Zhao, Menghang Xia, Hsu, Chia-Wen (Amy), Zhao, Jinghua, Xia, Menghang

Abstract

The farnesoid X receptor (FXR) is a nuclear receptor responsible for homeostasis of bile acids, lipids, and glucose. Compounds that alter endogenous FXR signaling can be used as therapeutic candidates or identified as potentially hazardous compounds depending on exposure doses and health states. Therefore, there is an increasing need for high-throughput screening assays of FXR activity to profile large numbers of environmental chemicals and drugs. This chapter describes a workflow of FXR modulator identification and characterization. To identify compounds that modulate FXR transactivation at the cellular level, we first screen compounds from the Tox21 10 K compound library in an FXR-driven beta-lactamase reporter gene assay multiplexed with a cell viability assay in the same well of the 1536-well plates. The selected compounds are then tested biochemically for their ability to modulate FXR-coactivator binding interactions using a time-resolved fluorescence resonance energy transfer (TR-FRET) coactivator assay. The assay results from the workflow can be used to prioritize compounds for more extensive investigations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor > Associate Professor 1 17%
Student > Bachelor 1 17%
Researcher 1 17%
Unknown 1 17%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 2 33%
Medicine and Dentistry 2 33%
Computer Science 1 17%
Unknown 1 17%