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High Content Screening

Overview of attention for book
Cover of 'High Content Screening'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Applications and Caveats on the Utilization of DNA-Specific Probes in Cell-Based Assays
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    Chapter 2 General Staining and Segmentation Procedures for High Content Imaging and Analysis
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    Chapter 3 Tools to Measure Cell Health and Cytotoxicity Using High Content Imaging and Analysis
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    Chapter 4 Cell-Based High Content Analysis of Cell Proliferation and Apoptosis
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    Chapter 5 Tools to Measure Autophagy Using High Content Imaging and Analysis
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    Chapter 6 Guidelines for Microplate Selection in High Content Imaging
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    Chapter 7 Quality Control for High-Throughput Imaging Experiments Using Machine Learning in Cellprofiler
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    Chapter 8 High-Content Screening Approaches That Minimize Confounding Factors in RNAi, CRISPR, and Small Molecule Screening
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    Chapter 9 Strategies and Solutions to Maintain and Retain Data from High Content Imaging, Analysis, and Screening Assays
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    Chapter 10 Live-Cell High Content Screening in Drug Development
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    Chapter 11 Challenges and Opportunities in Enabling High-Throughput, Miniaturized High Content Screening
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    Chapter 12 Translocation Biosensors—Versatile Tools to Probe Protein Functions in Living Cells
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    Chapter 13 High Content Positional Biosensor Assay to Screen for Compounds that Prevent or Disrupt Androgen Receptor and Transcription Intermediary Factor 2 Protein-Protein Interactions
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    Chapter 14 High Content Imaging Assays for IL-6-Induced STAT3 Pathway Activation in Head and Neck Cancer Cell Lines
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    Chapter 15 Single Cell and Population Level Analysis of HCA Data
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    Chapter 16 Utilization of Multidimensional Data in the Analysis of Ultra-High-Throughput High Content Phenotypic Screens
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    Chapter 17 High Content Screening of Mammalian Primary Cortical Neurons
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    Chapter 18 Human-Derived Neurons and Neural Progenitor Cells in High Content Imaging Applications
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    Chapter 19 Determination of Hepatotoxicity in iPSC-Derived Hepatocytes by Multiplexed High Content Assays
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    Chapter 20 The Generation of Three-Dimensional Head and Neck Cancer Models for Drug Discovery in 384-Well Ultra-Low Attachment Microplates
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    Chapter 21 An Endothelial Cell/Mesenchymal Stem Cell Coculture Cord Formation Assay to Model Vascular Biology In Vitro
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    Chapter 22 High-Throughput Automated Chemical Screens in Zebrafish
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    Chapter 23 Erratum to: High Content Screening
Attention for Chapter 18: Human-Derived Neurons and Neural Progenitor Cells in High Content Imaging Applications
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Chapter title
Human-Derived Neurons and Neural Progenitor Cells in High Content Imaging Applications
Chapter number 18
Book title
High Content Screening
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7357-6_18
Pubmed ID
Book ISBNs
978-1-4939-7355-2, 978-1-4939-7357-6
Authors

Joshua A. Harrill

Abstract

Due to advances in the fields of stem cell biology and cellular engineering, a variety of commercially available human-derived neurons and neural progenitor cells (NPCs) are now available for use in research applications, including small molecule efficacy or toxicity screening. The use of human-derived neural cells is anticipated to address some of the uncertainties associated with the use of nonhuman culture models or transformed cell lines derived from human tissues. Many of the human-derived neurons and NPCs currently available from commercial sources recapitulate critical process of nervous system development including NPC proliferation, neurite outgrowth, synaptogenesis, and calcium signaling, each of which can be evaluated using high content image analysis (HCA). Human-derived neurons and NPCs are also amenable to culture in multiwell plate formats and thus may be adapted for use in HCA-based screening applications. This article reviews various types of HCA-based assays that have been used in conjunction with human-derived neurons and NPC cultures. This article also highlights instances where lower throughput analysis of neurodevelopmental processes has been performed and which demonstrate a potential for adaptation to higher-throughout imaging methods. Finally, a generic protocol for evaluating neurite outgrowth in human-derived neurons using a combination of immunocytochemistry and HCA is presented. The information provided in this article is intended to serve as a resource for cell model and assay selection for those interested in evaluating neurodevelopmental processes in human-derived cells.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Student > Doctoral Student 2 14%
Student > Postgraduate 2 14%
Researcher 2 14%
Student > Bachelor 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 36%
Neuroscience 2 14%
Agricultural and Biological Sciences 2 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Unknown 4 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 October 2017.
All research outputs
#15,482,347
of 23,007,053 outputs
Outputs from Methods in molecular biology
#5,388
of 13,159 outputs
Outputs of similar age
#269,687
of 442,275 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,498 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,159 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.