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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 12: Yeast as a Model for Studies on Aβ Aggregation Toxicity in Alzheimer's Disease, Autophagic Responses, and Drug Screening.
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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Citations

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Chapter title
Yeast as a Model for Studies on Aβ Aggregation Toxicity in Alzheimer's Disease, Autophagic Responses, and Drug Screening.
Chapter number 12
Book title
Systems Biology of Alzheimer's Disease
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-2627-5_12
Pubmed ID
Book ISBNs
978-1-4939-2626-8, 978-1-4939-2627-5
Authors

Porzoor, Afsaneh, Macreadie, Ian, Afsaneh Porzoor, Ian Macreadie

Editors

Juan I. Castrillo, Stephen G. Oliver

Abstract

The Aβ peptide is widely considered a major cause of Alzheimer's disease since it causes neuronal death in an oligomerisation-dependent manner. In order to identify new inhibitors of Aβ that may be chemo preventative for Alzheimer's disease, a yeast assay that qualitatively determines the amounts and state of the human Aβ42 peptide has been developed. Yeast assays such as this can be applied to studies on aggregation toxicity, autophagic responses and drug screening in Alzheimer's disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 42%
Student > Master 3 25%
Student > Bachelor 1 8%
Professor 1 8%
Unknown 2 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 42%
Biochemistry, Genetics and Molecular Biology 3 25%
Business, Management and Accounting 1 8%
Medicine and Dentistry 1 8%
Unknown 2 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 02 May 2016.
All research outputs
#2,622,799
of 23,203,401 outputs
Outputs from Methods in molecular biology
#484
of 13,301 outputs
Outputs of similar age
#46,350
of 395,391 outputs
Outputs of similar age from Methods in molecular biology
#70
of 1,471 outputs
Altmetric has tracked 23,203,401 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,301 research outputs from this source. They receive a mean Attention Score of 3.4. 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 395,391 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 88% of its contemporaries.
We're also able to compare this research output to 1,471 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.