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Human iPSC-derived Disease Models for Drug Discovery

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Cover of 'Human iPSC-derived Disease Models for Drug Discovery'

Table of Contents

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    Book Overview
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    Chapter 642 Retinal Ganglion Cells in a Dish: Current Strategies and Recommended Best Practices for Effective In Vitro Modeling of Development and Disease
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    Chapter 643 Human iPS Cells for Clinical Applications and Cellular Products
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    Chapter 644 iPSC-Derived Corneal Endothelial Cells
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    Chapter 645 Human-Induced Pluripotent Stem Cell-Based Model of the Blood-Brain at 10 Years: A Retrospective on Past and Current Disease Models
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    Chapter 646 3D Bioprinting of Induced Pluripotent Stem Cells and Disease Modeling
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    Chapter 655 Harnessing Human Pluripotent Stem Cell-Derived Pancreatic In Vitro Models for High-Throughput Toxicity Testing and Diabetes Drug Discovery
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    Chapter 657 iPSCs-Derived Neurons and Brain Organoids from Patients.
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    Chapter 663 Human-Induced Pluripotent Stem Cell-Based Differentiation of Cardiomyocyte Subtypes for Drug Discovery and Cell Therapy
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    Chapter 671 iPSCs-Based Therapy for Trabecular Meshwork
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    Chapter 681 Cardiac Disease Modeling with Engineered Heart Tissue
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    Chapter 690 Using Human iPSC-Derived Peripheral Nervous System Disease Models for Drug Discovery
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    Chapter 691 Human Retinal Organoids in Therapeutic Discovery: A Review of Applications
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    Chapter 697 Applications of Induced Pluripotent Stem Cell-Derived Glia in Brain Disease Research and Treatment
Attention for Chapter 642: Retinal Ganglion Cells in a Dish: Current Strategies and Recommended Best Practices for Effective In Vitro Modeling of Development and Disease
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Chapter title
Retinal Ganglion Cells in a Dish: Current Strategies and Recommended Best Practices for Effective In Vitro Modeling of Development and Disease
Chapter number 642
Book title
Human iPSC-derived Disease Models for Drug Discovery
Published by
Springer, Berlin, Heidelberg, March 2023
DOI 10.1007/164_2023_642
Book ISBNs
978-3-03-142348-2, 978-3-03-142349-9
Authors

Huang, Kang-Chieh, Gomes, Cátia, Meyer, Jason S.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Researcher 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Unknown 1 50%