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High-Throughput Screening Assays in Toxicology

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Cover of 'High-Throughput Screening Assays in Toxicology'

Table of Contents

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    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
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    Chapter 4 Quantitative High-Throughput Luciferase Screening in Identifying CAR Modulators
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    Chapter 5 Transactivation and Coactivator Recruitment Assays for Measuring Farnesoid X Receptor Activity
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    Chapter 6 Cell-Based Assay for Identifying the Modulators of Antioxidant Response Element Signaling Pathway
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    Chapter 7 Study Liver Cytochrome P450 3A4 Inhibition and Hepatotoxicity Using DMSO-Differentiated HuH-7 Cells
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    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
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    Chapter 11 High-Throughput Screening Assays in Toxicology
  13. Altmetric Badge
    Chapter 12 A Quantitative High-Throughput Screening Data Analysis Pipeline for Activity Profiling
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    Chapter 13 Correction of Microplate Data from High-Throughput Screening
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    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 10: High-Throughput Screening Assays in Toxicology
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Chapter title
High-Throughput Screening Assays in Toxicology
Chapter number 10
Book title
High-Throughput Screening Assays in Toxicology
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6346-1_10
Pubmed ID
Book ISBNs
978-1-4939-6344-7, 978-1-4939-6346-1
Authors

Truong, Lisa, Simonich, Michael T, Tanguay, Robert L, Lisa Truong, Michael T. Simonich, Robert L. Tanguay, Simonich, Michael T., Tanguay, Robert L.

Abstract

The field of toxicology is undergoing a vast change with high-throughput (HT) approaches that rapidly query huge swaths of chemico-structural space for bioactivity and hazard potential. Its practicality is due in large part to switching from high-cost, low-throughput mammalian models to faster and cheaper alternatives. We believe this is an improved approach because the immense breadth of the resulting data sets a foundation for predictive structure-activity-based toxicology. Moreover, rapidly uncovering structure-related bioactivity drives better decisions about where to commit resources to drill down to a mechanism, or pursue commercial leads. While hundreds of different in vitro toxicology assays can collectively serve as an alternative to mammalian animal model testing, far greater efficiency and ultimately more relevant data are obtained from the whole animal. The developmental zebrafish, with its well-documented advantages over many animal models, is now emerging as a true biosensor of chemical activity. Herein, we draw on nearly a decade of experience developing high-throughput toxicology screens in the developmental zebrafish to summarize the best practices in fulfilling the better, faster, cheaper goals. We include optimization and harmonization of dosing volume, exposure paradigms, chemical solubility, chorion status, experimental duration, endpoint definitions, and statistical analysis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 35%
Professor 3 15%
Researcher 3 15%
Student > Master 1 5%
Student > Bachelor 1 5%
Other 0 0%
Unknown 5 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 25%
Environmental Science 3 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Medicine and Dentistry 1 5%
Other 2 10%
Unknown 6 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 August 2016.
All research outputs
#13,190,839
of 23,599,923 outputs
Outputs from Methods in molecular biology
#3,351
of 13,346 outputs
Outputs of similar age
#179,972
of 396,594 outputs
Outputs of similar age from Methods in molecular biology
#312
of 1,461 outputs
Altmetric has tracked 23,599,923 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,346 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 396,594 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 1,461 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.