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Human iPSC-derived Disease Models for Drug Discovery

Overview of attention for book
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
  3. Altmetric Badge
    Chapter 643 Human iPS Cells for Clinical Applications and Cellular Products
  4. Altmetric Badge
    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
  7. Altmetric Badge
    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.
  9. Altmetric Badge
    Chapter 663 Human-Induced Pluripotent Stem Cell-Based Differentiation of Cardiomyocyte Subtypes for Drug Discovery and Cell Therapy
  10. Altmetric Badge
    Chapter 671 iPSCs-Based Therapy for Trabecular Meshwork
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    Chapter 681 Cardiac Disease Modeling with Engineered Heart Tissue
  12. Altmetric Badge
    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
  14. Altmetric Badge
    Chapter 697 Applications of Induced Pluripotent Stem Cell-Derived Glia in Brain Disease Research and Treatment
Attention for Chapter 657: iPSCs-Derived Neurons and Brain Organoids from Patients.
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Chapter title
iPSCs-Derived Neurons and Brain Organoids from Patients.
Chapter number 657
Book title
Human iPSC-derived Disease Models for Drug Discovery
Published in
Handbook of experimental pharmacology, June 2023
DOI 10.1007/164_2023_657
Pubmed ID
37306818
Book ISBNs
978-3-03-142348-2, 978-3-03-142349-9
Authors

Zhu, Wanying, Xu, Lei, Li, Xinrui, Hu, Hao, Lou, Shuning, Liu, Yan

Abstract

Induced pluripotent stem cells (iPSCs) can be differentiated into specific neurons and brain organoids by adding induction factors and small molecules in vitro, which carry human genetic information and recapitulate the development process of human brain as well as physiological, pathological, and pharmacological characteristics. Hence, iPSC-derived neurons and organoids hold great promise for studying human brain development and related nervous system diseases in vitro, and provide a platform for drug screening. In this chapter, we summarize the development of the differentiation techniques for neurons and brain organoids from iPSCs, and their applications in studying brain disease, drug screening, and transplantation.

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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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Researcher 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 33%
Physics and Astronomy 1 33%
Neuroscience 1 33%
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 12 June 2023.
All research outputs
#19,868,613
of 24,416,081 outputs
Outputs from Handbook of experimental pharmacology
#534
of 671 outputs
Outputs of similar age
#259,312
of 355,800 outputs
Outputs of similar age from Handbook of experimental pharmacology
#4
of 5 outputs
Altmetric has tracked 24,416,081 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 671 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 355,800 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.

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