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Neuroepigenomics in Aging and Disease

Overview of attention for book
Cover of 'Neuroepigenomics in Aging and Disease'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 MeCP2, A Modulator of Neuronal Chromatin Organization Involved in Rett Syndrome
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    Chapter 2 The Role of Noncoding RNAs in Neurodevelopmental Disorders: The Case of Rett Syndrome
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    Chapter 3 Rubinstein-Taybi Syndrome and Epigenetic Alterations
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    Chapter 4 Epigenetics of Autism Spectrum Disorder
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    Chapter 5 Eating Disorders and Epigenetics
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    Chapter 6 Drug Addiction and DNA Modifications
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    Chapter 7 Drug Addiction and Histone Code Alterations
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    Chapter 8 Anxiety and Epigenetics
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    Chapter 9 Histone Modifications in Major Depressive Disorder and Related Rodent Models
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    Chapter 10 DNA Methylation in Major Depressive Disorder
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    Chapter 11 Noncoding RNAs in Depression
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    Chapter 12 DNA Methylation in Schizophrenia
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    Chapter 13 Histone Posttranslational Modifications in Schizophrenia
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    Chapter 14 Epigenetic Mechanisms of Gene Regulation in Amyotrophic Lateral Sclerosis
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    Chapter 15 Epigenetics of Huntington’s Disease
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    Chapter 16 DNA Modifications and Alzheimer’s Disease
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    Chapter 17 Alzheimer’s Disease and Histone Code Alterations
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    Chapter 18 Alzheimer’s Disease and ncRNAs
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    Chapter 19 Epigenetics in Parkinson’s Disease
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    Chapter 20 Single-Cell Genomics Unravels Brain Cell-Type Complexity
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    Chapter 21 Epigenome Editing in the Brain
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    Chapter 22 Techniques for Single-Molecule mRNA Imaging in Living Cells
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    Chapter 23 Stem Cell Technology for (Epi)genetic Brain Disorders
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    Chapter 24 Technologies for Deciphering Epigenomic DNA Patterns
  26. Altmetric Badge
    Chapter 25 Bioinformatics Tools for Genome-Wide Epigenetic Research
Attention for Chapter 23: Stem Cell Technology for (Epi)genetic Brain Disorders
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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1 news outlet
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22 X users

Citations

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17 Dimensions

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43 Mendeley
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Chapter title
Stem Cell Technology for (Epi)genetic Brain Disorders
Chapter number 23
Book title
Neuroepigenomics in Aging and Disease
Published in
Advances in experimental medicine and biology, May 2017
DOI 10.1007/978-3-319-53889-1_23
Pubmed ID
Book ISBNs
978-3-31-953888-4, 978-3-31-953889-1, 978-3-31-953888-4, 978-3-31-953889-1
Authors

Riemens, Renzo J. M., Soares, Edilene S., Esteller, Manel, Delgado-Morales, Raul, Renzo J. M. Riemens M.Sc, Edilene S. Soares, Manel Esteller M.D., Ph.D., Raul Delgado-Morales Ph.D., Renzo J. M. Riemens, Manel Esteller, Raul Delgado-Morales

Editors

Raul Delgado-Morales

Abstract

Despite the enormous efforts of the scientific community over the years, effective therapeutics for many (epi)genetic brain disorders remain unidentified. The common and persistent failures to translate preclinical findings into clinical success are partially attributed to the limited efficiency of current disease models. Although animal and cellular models have substantially improved our knowledge of the pathological processes involved in these disorders, human brain research has generally been hampered by a lack of satisfactory humanized model systems. This, together with our incomplete knowledge of the multifactorial causes in the majority of these disorders, as well as a thorough understanding of associated (epi)genetic alterations, has been impeding progress in gaining more mechanistic insights from translational studies. Over the last years, however, stem cell technology has been offering an alternative approach to study and treat human brain disorders. Owing to this technology, we are now able to obtain a theoretically inexhaustible source of human neural cells and precursors in vitro that offer a platform for disease modeling and the establishment of therapeutic interventions. In addition to the potential to increase our general understanding of how (epi)genetic alterations contribute to the pathology of brain disorders, stem cells and derivatives allow for high-throughput drugs and toxicity testing, and provide a cell source for transplant therapies in regenerative medicine. In the current chapter, we will demonstrate the validity of human stem cell-based models and address the utility of other stem cell-based applications for several human brain disorders with multifactorial and (epi)genetic bases, including Parkinson's disease (PD), Alzheimer's disease (AD), fragile X syndrome (FXS), Angelman syndrome (AS), Prader-Willi syndrome (PWS), and Rett syndrome (RTT).

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 16%
Student > Bachelor 6 14%
Student > Master 5 12%
Student > Doctoral Student 5 12%
Other 4 9%
Other 4 9%
Unknown 12 28%
Readers by discipline Count As %
Neuroscience 8 19%
Medicine and Dentistry 6 14%
Biochemistry, Genetics and Molecular Biology 4 9%
Agricultural and Biological Sciences 4 9%
Engineering 2 5%
Other 6 14%
Unknown 13 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 28 September 2017.
All research outputs
#1,517,730
of 25,845,749 outputs
Outputs from Advances in experimental medicine and biology
#201
of 5,291 outputs
Outputs of similar age
#28,791
of 328,618 outputs
Outputs of similar age from Advances in experimental medicine and biology
#5
of 108 outputs
Altmetric has tracked 25,845,749 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,291 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 96% 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 328,618 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.