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Stem Cell-Derived Models in Toxicology

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Cover of 'Stem Cell-Derived Models in Toxicology'

Table of Contents

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    Book Overview
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    Chapter 1 Stem Cell-Derived Models for Safety and Toxicity Assessments: Present and Future Studies in the “Proclinical Space”
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    Chapter 2 Human Pluripotent Stem Cell Test for Assessing the Potential Teratogen Risk
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    Chapter 3 Cardiac Action Potential Measurement in Human Embryonic Stem Cell Cardiomyocytes for Cardiac Safety Studies Using Manual Patch-Clamp Electrophysiology
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    Chapter 4 Automated Patch Clamp Recordings of Human Stem Cell-Derived Cardiomyocytes
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    Chapter 5 The CiPA Microelectrode Array Assay with hSC-Derived Cardiomyocytes: Current Protocol, Future Potential
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    Chapter 6 Optogenetic Approach to Cardiotoxicity Screening: Simultaneous Voltage and Calcium Imaging Under Paced Conditions
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    Chapter 7 HTS-Compatible Voltage- and Ca 2+ -Sensitive Dye Recordings from hiPSC-Derived Cardiomyocytes Using the Hamamatsu FDSS Systems
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    Chapter 8 Kinetic Image Cytometry for Predicting Arrhythmias Using Human Stem Cell-Derived Cardiomyocytes
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    Chapter 9 Decoding Ca 2+ Signals as a Non-electrophysiological Method for Assessing Drug Toxicity in Stem Cell-Derived Cardiomyocytes
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    Chapter 10 Combined Impedance and Extracellular Field Potential Recordings from Human Stem Cell-Derived Cardiomyocytes
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    Chapter 11 Edge-Detection for Contractility Measurements with Cardiac Spheroids
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    Chapter 12 Contractile Force Readout of hESC-Cardiomyocytes
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    Chapter 13 In Vitro Cardiotoxicity Investigation Using High Content Analysis and Human Stem Cell-Derived Models
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    Chapter 14 Structural Toxicity: Hypertrophy Models of Human Pluripotent Stem Cell-Derived Cardiomyocytes
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    Chapter 15 Addressing Functional Neurotoxicity Using the Microelectrode Array (MEA)
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    Chapter 16 Micropatterned Co-Cultures of Induced Pluripotent Stem Cell-Derived Hepatocytes and Stromal Cells for Drug Toxicity Studies
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Title
Stem Cell-Derived Models in Toxicology
Published by
Humana Press, January 2017
DOI 10.1007/978-1-4939-6661-5
ISBNs
978-1-4939-6659-2, 978-1-4939-6661-5
Editors

Mike Clements, Liz Roquemore

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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 > Master 2 33%
Researcher 2 33%
Student > Ph. D. Student 1 17%
Unknown 1 17%
Readers by discipline Count As %
Business, Management and Accounting 1 17%
Agricultural and Biological Sciences 1 17%
Neuroscience 1 17%
Engineering 1 17%
Unknown 2 33%