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Titlebook: Systems Biology of Alzheimer‘s Disease; Juan I. Castrillo,Stephen G. Oliver Book 2016 Springer Science+Business Media New York 2016 Alzhei

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发表于 2025-3-21 16:41:16 | 显示全部楼层 |阅读模式
书目名称Systems Biology of Alzheimer‘s Disease
编辑Juan I. Castrillo,Stephen G. Oliver
视频video
概述Includes cutting-edge systems biology methods and protocols for neuroscientific study.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from
丛书名称Methods in Molecular Biology
图书封面Titlebook: Systems Biology of Alzheimer‘s Disease;  Juan I. Castrillo,Stephen G. Oliver Book 2016 Springer Science+Business Media New York 2016 Alzhei
描述.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
出版日期Book 2016
关键词Alzheimer’s disease (AD); Computational systems biology; Disease models; Disease risk classification; Ex
版次1
doihttps://doi.org/10.1007/978-1-4939-2627-5
isbn_softcover978-1-4939-4703-4
isbn_ebook978-1-4939-2627-5Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media New York 2016
The information of publication is updating

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发表于 2025-3-21 20:45:00 | 显示全部楼层
Application of Systems Theory in Longitudinal Studies on the Origin and Progression of Alzheimer’s D alzheimer’s disease (EOAD) could serve as a linear model to study the pathogenesis of sporadic late-onset alzheimer’s disease (LOAD). Now there is growing evidence to suggest that such reductionism may not be warranted; these suppositions are not adequate to explain the molecular complexities of LO
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Advanced Assay Monitoring APP-Carboxyl-Terminal Fragments as Markers of APP Processing in Alzheimer ecretase cleavage and is the direct precursor of amyloid beta (Aβ). Here we describe a method for the quantification of C99. The amount of C99 is an indicative value of the amyloid pathology in an Alzheimer’s disease (AD) model, and could be used as a marker to study AD progression in comprehensive
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Protocols for Monitoring the Development of Tau Pathology in Alzheimer’s Diseasey known as tauopathies. Development of tau pathology is associated with progressive neuronal loss and cognitive decline. In the brains of AD patients, tau pathology spreads following a predictable, anatomically defined progression pattern that can be followed by immunohistochemistry looking at brain
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Advanced Mitochondrial Respiration Assay for Evaluation of Mitochondrial Dysfunction in Alzheimer’s tau) in the brain, but the underlying mechanisms of the disease are still partially unclear. A growing body of evidence supports mitochondrial dysfunction as a prominent and early, chronic oxidative stress-associated event that contributes to synaptic abnormalities, and, ultimately, selective neuro
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Analysis of Microglial Proliferation in Alzheimer’s Diseaseormation is available for specific neurodegenerative disorders, particularly for Alzheimer’s disease (AD). Determining the degree of local proliferation will not only open avenues into understanding the dynamics of microglial proliferation, but also provide an effective target to design strategies w
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