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Human Neural Stem Cells

Overview of attention for book
Cover of 'Human Neural Stem Cells'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Derivation of Neural Stem Cells from the Developing and Adult Human Brain
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    Chapter 2 Human Somatic Stem Cell Neural Differentiation Potential
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    Chapter 3 Neural Stem Cells Derived from Human-Induced Pluripotent Stem Cells and Their Use in Models of CNS Injury
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    Chapter 4 Generation of Human Neural Stem Cells by Direct Phenotypic Conversion
  6. Altmetric Badge
    Chapter 5 Epigenetic Regulation of Human Neural Stem Cell Differentiation
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    Chapter 6 Induced Pluripotent Stem Cells Reveal Common Neurodevelopmental Genome Deprograming in Schizophrenia
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    Chapter 7 Genome Editing in Human Neural Stem and Progenitor Cells
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    Chapter 8 Brain Organoids: Expanding Our Understanding of Human Development and Disease
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    Chapter 9 Bioengineering of the Human Neural Stem Cell Niche: A Regulatory Environment for Cell Fate and Potential Target for Neurotoxicity
  11. Altmetric Badge
    Chapter 10 Updates on Human Neural Stem Cells: From Generation, Maintenance, and Differentiation to Applications in Spinal Cord Injury Research
  12. Altmetric Badge
    Chapter 11 Human Neural Stem Cells for Ischemic Stroke Treatment
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    Chapter 12 Modeling Complex Neurological Diseases with Stem Cells: A Study of Bipolar Disorder
  14. Altmetric Badge
    Chapter 13 Neural Stem Cell Dysfunction in Human Brain Disorders
  15. Altmetric Badge
    Chapter 14 Human Fetal Neural Stem Cells for Neurodegenerative Disease Treatment
Attention for Chapter 12: Modeling Complex Neurological Diseases with Stem Cells: A Study of Bipolar Disorder
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Chapter title
Modeling Complex Neurological Diseases with Stem Cells: A Study of Bipolar Disorder
Chapter number 12
Book title
Human Neural Stem Cells
Published in
Results and problems in cell differentiation, January 2018
DOI 10.1007/978-3-319-93485-3_12
Pubmed ID
Book ISBNs
978-3-31-993484-6, 978-3-31-993485-3
Authors

Cameron D. Pernia, Neal H. Nathan, Brian T. D. Tobe, Alicia M. Winquist, Richard L. Sidman, Yoshio Goshima, Evan Y. Snyder, Pernia, Cameron D., Nathan, Neal H., Tobe, Brian T. D., Winquist, Alicia M., Sidman, Richard L., Goshima, Yoshio, Snyder, Evan Y.

Abstract

The pathogenesis of bipolar disorder (BPD) is unknown. Using human-induced pluripotent stem cells (hiPSCs) to unravel pathological mechanisms in polygenic diseases is challenging, with few successful studies to date. However, hiPSCs from BPD patients responsive to lithium have offered unique opportunities to discern lithium's mechanism of action and hence gain insight into BPD pathology. By profiling the proteomics of BPD-hiPSC-derived neurons, we found that lithium alters the phosphorylation state of collapsin response mediator protein-2 (CRMP2). The "set point" for the ratio of pCRMP2:CRMP2 is elevated uniquely in hiPSC-derived neurons from lithium responsive (Li-R) BPD patients, but not other psychiatric and neurological disorders. Utilizing neurons differentiated from human patient stem cells as an in vitro platform, we were able to elucidate the mechanism driving the pathogenesis and pathophysiology of lithium-responsive BPD, heretofore unknown. Importantly, the findings in culture were validated in human postmortem material as well as in animal models of BPD behavior. These data suggest that the "lithium response pathway" in BPD governs CRMP2's phosphorylation, which regulates cytoskeletal organization, particularly in dendritic spines, leading to modulated neural networks that may underlie Li-R BPD pathogenesis. This chapter reviews the methodology of leveraging a functional agent, lithium, to identify unknown pathophysiological pathways with hiPSCs and how to translate this disease modeling approach to other neurological disorders.

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The data shown below were collected from the profiles of 2 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 29%
Student > Ph. D. Student 4 24%
Professor 1 6%
Unspecified 1 6%
Student > Bachelor 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Neuroscience 6 35%
Medicine and Dentistry 3 18%
Biochemistry, Genetics and Molecular Biology 1 6%
Unspecified 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Other 1 6%
Unknown 4 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 October 2019.
All research outputs
#15,018,906
of 23,103,436 outputs
Outputs from Results and problems in cell differentiation
#86
of 217 outputs
Outputs of similar age
#256,142
of 442,715 outputs
Outputs of similar age from Results and problems in cell differentiation
#3
of 10 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 217 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 56% 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 442,715 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.