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Dataset Information

Comparative functional genomic analysis of Alzheimer's affected and naturally aging brains.


ABSTRACT:

Background

Alzheimer's disease (AD) is a prevalent progressive neurodegenerative human disease whose cause remains unclear. Numerous initially highly hopeful anti-AD drugs based on the amyloid-β (Aβ) hypothesis of AD have failed recent late-phase tests. Natural aging (AG) is a high-risk factor for AD. Here, we aim to gain insights in AD that may lead to its novel therapeutic treatment through conducting meta-analyses of gene expression microarray data from AG and AD-affected brain.

Methods

Five sets of gene expression microarray data from different regions of AD (hereafter, ALZ when referring to data)-affected brain, and one set from AG, were analyzed by means of the application of the methods of differentially expressed genes and differentially co-expressed gene pairs for t

SUBMITTER: Peng YS 

PROVIDER: S-EPMC7087547 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature