Systems Biology of Alzheimer's Disease
(Sprache: Englisch)
Alzheimer's disease (AD) and many other neurodegenerative disorders are multifactorial in nature, involving a combination of genomic, epigenomic, network dynamic and environmental factors. A proper investigation requires new integrative Systems Biology...
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Klappentext zu „Systems Biology of Alzheimer's Disease “
Alzheimer's disease (AD) and many other neurodegenerative disorders are multifactorial in nature, involving a combination of genomic, epigenomic, network dynamic and environmental factors. A proper investigation requires new integrative Systems Biology approaches, at both the experimental and computational level. The interplay of disease mechanisms and homeostatic networks will underlie the time of onset and rate of progression of the disease.This book addresses such an integrated approach to AD. It aims to present Systems Biology, including both experimental and computational approaches, as a new strategy for the study of AD and other multifactorial diseases, with the hope that the results will translate into more effective diagnosis and treatment, as well as improved public health policies.
Written for the highly successful Methods in Molecular Biology series, practical and cutting-edge, Systems Biology of Alzheimer's Disease is intended for post-graduate students, post-doctoral researchers and experts in different fields with an interest in comprehensive Systems Biology strategies applicable to AD and other complex multifactorial diseases (including other neurodegenerative diseases and cancers). This book aims to complement other excellent volumes and monographs on AD that cover fundamental, physiological or medical aspects of the disease.
Inhaltsverzeichnis zu „Systems Biology of Alzheimer's Disease “
Alzheimer's as a Systems-Level Disease Involving the Interplay of Multiple Cellular Networks.- Application of Systems Theory in Longitudinal Studies on the Origin and Progression of Alzheimer's Disease.- The APP Proteolytic System and Its Interactions with Dynamic Networks in Alzheimer's Disease.- Effects of Mild and Severe Oxidative Stress on BACE1 Expression and APP Amyloidogenic Processing.- Advanced Assay Monitoring APP-Carboxyl-Terminal Fragments as Markers of APP Processing in Alzheimer Disease Mouse Models.- Advanced Optical Super-Resolution Method and Techniques for the Study of beta-Amyloid Aggregation In Vitro and In Vivo.- Protocols for Monitoring the Development of Tau Pathology in Alzheimer's Disease.- LC3-II Tagging and Western Blotting for Monitoring Autophagic Activity in Mammalian Cells.- Advanced Mitochondrial Respiration Assay for Evaluation of Mitochondrial Dysfunction in Alzheimer's Disease.- Analysis of Microglial Proliferation in Alzheimer's Disease.- Yeast as aModel for Alzheimer's Disease: Latest Studies and Advanced Strategies.- Yeast as a Model for Studies on Abeta Aggregation Toxicity in Alzheimer's Disease, Autophagic Responses, and Drug Screening.- Drosophila melanogaster as a Model for Studies on the Early Stages of Alzheimer's Disease.- Chronic Mild Stress Assay Leading to Early Onset and Propagation of Alzheimer's Disease Phenotype in Mouse Models.- Gene Expression Studies on Human Trisomy 21 iPSCs and Neurons: Towards Mechanisms Underlying Down's Syndrome and Early Alzheimer's Disease-Like Pathologies.- Cortical Differentiation of Human Pluripotent Cells for In Vitro Modeling of Alzheimer's Disease.- Next Generation Sequencing in Alzheimer's Disease.- Pooled-DNA Sequencing for Elucidating New Genomic Risk Factors, Rare Variants Underlying Alzheimer's Disease.- New Genome-Wide Methods for Elucidation of Candidate Copy Number Variations (CNVs) Contributing to Alzheimer's Disease Heritability.- RNA-Sequencing to Elucidate Early
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Patterns of Dysregulation Underlying the Onset of Alzheimer's Disease.- Systems Biology Approaches to the Study of Biological Networks Underlying Alzheimer's Disease: Role of miRNAs.- The Emerging Role of Metalloproteomics in Alzheimer's Disease Research.- Redox Proteomics in Human Biofluids: Sample Preparation, Separation and Immunochemical Tagging for Analysis of Protein Oxidation.- Advanced Shotgun Lipidomics for Characterization of Altered Lipid Patterns in Neurodegenerative Diseases and Brain Injury.- AlzPathway, an Updated Map of Curated Signaling Pathways: Towards Deciphering Alzheimer's Disease Pathogenesis.- A Computational Network Biology Approach to Uncover Novel Genes Related to Alzheimer's Disease.- Network Approaches to the Understanding of Alzheimer's Disease: From Model Organisms to Humans.- Characterization of Genetic Networks Associated with Alzheimer's Disease.- Network-Based Analysis for Uncovering Mechanisms Underlying Alzheimer's Disease.- The SDREM Method for Reconstructing Signaling and Regulatory Response Networks: Applications for Studying Disease Progression.- Advanced Neuroimaging Methods Towards Characterization of Early Stages of Alzheimer's Disease.- Plasma Proteomics Biomarkers in Alzheimer's Disease: Latest Advances and Challenges.- A Practical Guide For Exploring Opportunities of Repurposing Drugs for CNS Diseases in Systems Biology.
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Autoren-Porträt
Stephen G. Oliver Department of Biochemistry & Cambridge Systems Biology Centre
University of Cambridge
Cambridge UK
steve.oliver@bioc.cam.ac.uk
Juan I. Castrillo
Bibliographische Angaben
- 2015, 1st ed. 2016, XVI, 563 Seiten, 56 farbige Abbildungen, Masse: 18,3 x 26 cm, Gebunden, Englisch
- Herausgegeben: Juan I. Castrillo, Stephen G. Oliver
- Verlag: Springer, Berlin
- ISBN-10: 1493926268
- ISBN-13: 9781493926268
- Erscheinungsdatum: 05.08.2015
Sprache:
Englisch
Pressezitat
"The book represents a very useful introduction to Systems Biology as the approach necessary to obtain a global view of the dysregulation of pathways involved in AD. In the need for standardization of techniques, the methods described in this book provide a step forward in the definition of common guidelines leading to the reproducible and dependable results necessary for a better understanding of the pathophysiology of AD." (Dr. Alessandro Villa, Journal of Alzheimer's Disease, Vol. 50, 2016)
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