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Systems Biology of Alzheimer's Disease

Overview of attention for book
Cover of 'Systems Biology of Alzheimer's Disease'

Table of Contents

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    Book Overview
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    Chapter 1 Alzheimer's as a Systems-Level Disease Involving the Interplay of Multiple Cellular Networks.
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    Chapter 2 Application of Systems Theory in Longitudinal Studies on the Origin and Progression of Alzheimer's Disease.
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    Chapter 3 The APP Proteolytic System and Its Interactions with Dynamic Networks in Alzheimer's Disease.
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    Chapter 4 Effects of Mild and Severe Oxidative Stress on BACE1 Expression and APP Amyloidogenic Processing.
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    Chapter 5 Advanced Assay Monitoring APP-Carboxyl-Terminal Fragments as Markers of APP Processing in Alzheimer Disease Mouse Models.
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    Chapter 6 Optical Super-Resolution Imaging of β-Amyloid Aggregation In Vitro and In Vivo: Method and Techniques.
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    Chapter 7 Protocols for Monitoring the Development of Tau Pathology in Alzheimer's Disease.
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    Chapter 8 LC3-II Tagging and Western Blotting for Monitoring Autophagic Activity in Mammalian Cells.
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    Chapter 9 Advanced Mitochondrial Respiration Assay for Evaluation of Mitochondrial Dysfunction in Alzheimer's Disease.
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    Chapter 10 Analysis of Microglial Proliferation in Alzheimer's Disease.
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    Chapter 11 Yeast as a Model for Alzheimer's Disease: Latest Studies and Advanced Strategies.
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    Chapter 12 Yeast as a Model for Studies on Aβ Aggregation Toxicity in Alzheimer's Disease, Autophagic Responses, and Drug Screening.
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    Chapter 13 Drosophila melanogaster as a Model for Studies on the Early Stages of Alzheimer's Disease.
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    Chapter 14 Chronic Mild Stress Assay Leading to Early Onset and Propagation of Alzheimer's Disease Phenotype in Mouse Models.
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    Chapter 15 Gene Expression Studies on Human Trisomy 21 iPSCs and Neurons: Towards Mechanisms Underlying Down's Syndrome and Early Alzheimer's Disease-Like Pathologies.
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    Chapter 16 Cortical Differentiation of Human Pluripotent Cells for In Vitro Modeling of Alzheimer's Disease.
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    Chapter 17 Next Generation Sequencing in Alzheimer's Disease.
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    Chapter 18 Pooled-DNA Sequencing for Elucidating New Genomic Risk Factors, Rare Variants Underlying Alzheimer's Disease.
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    Chapter 19 New Genome-Wide Methods for Elucidation of Candidate Copy Number Variations (CNVs) Contributing to Alzheimer's Disease Heritability.
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    Chapter 20 RNA-Sequencing to Elucidate Early Patterns of Dysregulation Underlying the Onset of Alzheimer's Disease.
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    Chapter 21 Systems Biology Approaches to the Study of Biological Networks Underlying Alzheimer's Disease: Role of miRNAs.
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    Chapter 22 The Emerging Role of Metalloproteomics in Alzheimer’s Disease Research
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    Chapter 23 Redox Proteomics in Human Biofluids: Sample Preparation, Separation and Immunochemical Tagging for Analysis of Protein Oxidation.
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    Chapter 24 Advanced Shotgun Lipidomics for Characterization of Altered Lipid Patterns in Neurodegenerative Diseases and Brain Injury.
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    Chapter 25 AlzPathway, an Updated Map of Curated Signaling Pathways: Towards Deciphering Alzheimer's Disease Pathogenesis.
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    Chapter 26 A Computational Network Biology Approach to Uncover Novel Genes Related to Alzheimer's Disease.
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    Chapter 27 Network Approaches to the Understanding of Alzheimer's Disease: From Model Organisms to Humans.
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    Chapter 28 Characterization of Genetic Networks Associated with Alzheimer's Disease.
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    Chapter 29 Network-Based Analysis for Uncovering Mechanisms Underlying Alzheimer's Disease.
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    Chapter 30 The SDREM Method for Reconstructing Signaling and Regulatory Response Networks: Applications for Studying Disease Progression.
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    Chapter 31 Advanced Neuroimaging Methods Towards Characterization of Early Stages of Alzheimer's Disease.
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    Chapter 32 Plasma Proteomics Biomarkers in Alzheimer's Disease: Latest Advances and Challenges.
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    Chapter 33 A Practical Guide for Exploring Opportunities of Repurposing Drugs for CNS Diseases in Systems Biology.
Attention for Chapter 16: Cortical Differentiation of Human Pluripotent Cells for In Vitro Modeling of Alzheimer's Disease.
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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1 news outlet

Citations

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13 Dimensions

Readers on

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17 Mendeley
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Chapter title
Cortical Differentiation of Human Pluripotent Cells for In Vitro Modeling of Alzheimer's Disease.
Chapter number 16
Book title
Systems Biology of Alzheimer's Disease
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-2627-5_16
Pubmed ID
Book ISBNs
978-1-4939-2626-8, 978-1-4939-2627-5
Authors

Saurat, Nathalie G, Livesey, Frederick J, Moore, Steven, Nathalie G. Saurat, Frederick J. Livesey, Steven Moore, Saurat, Nathalie G., Livesey, Frederick J.

Editors

Juan I. Castrillo, Stephen G. Oliver

Abstract

Stem cell models of Alzheimer's disease provide an opportunity to study the mechanisms underlying disease pathology at a resolution that is not possible in animal models. Furthermore, the ability to reprogram patient somatic cells to a pluripotent state ensures that the disease can be investigated in the correct genetic context. Here, we describe the directed differentiation of human pluripotent cells to cortical progenitors by recapitulating key developmental signaling events in vitro. Over a timeframe that mirrors human development, these progenitors give rise to functional lower and upper layer neurons. We also describe biochemical and imaging based methods to analyse key APP and Tau phenotypes in neurons generated from pluripotent stem cells from individuals with either monogenic familial Alzheimer's disease or Down's syndrome.

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 %
Researcher 3 18%
Student > Bachelor 3 18%
Unspecified 1 6%
Student > Doctoral Student 1 6%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 7 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 18%
Neuroscience 3 18%
Agricultural and Biological Sciences 2 12%
Unspecified 1 6%
Unknown 8 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 August 2015.
All research outputs
#4,177,584
of 22,821,814 outputs
Outputs from Methods in molecular biology
#1,132
of 13,124 outputs
Outputs of similar age
#71,805
of 393,507 outputs
Outputs of similar age from Methods in molecular biology
#168
of 1,470 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,124 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 90% 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 393,507 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.