Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease

Zhang, Bin, Gaiteri, Chris, Bodea, Liviu-Gabriel, Wang, Zhi, McElwee, Joshua, Podtelezhnikov, Alexei A., Zhang, Chunsheng, Xie, Tao +22 more·2013·Cell

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  11. Identification of novel diagnostic panel for mild cognitive impairment and Alzheimer’s disease: findings based on urine proteomics and machine learning
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  12. Distinct sex-specific DNA methylation differences in Alzheimer’s disease
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  13. Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer’s disease
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  14. Integrated approach reveals diet, APOE genotype and sex affect immune response in APP mice
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  15. Alzheimer’s Disease (AD) Therapeutics—2: Beyond Amyloid—Re-Defining AD and Its Causality to Discover Effective Therapeutics
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  16. Network Analysis of a Membrane-Enriched Brain Proteome across Stages of Alzheimer’s Disease
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  17. Deep belief network-based approach for detecting Alzheimer's disease using the multi-omics data
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  18. Differential compartmentalization of myeloid cell phenotypes and responses towards the CNS in Alzheimer’s disease
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  20. Identification of potential lead compounds against BACE1 through in-silico screening of phytochemicals of Medhya rasayana plants for Alzheimer's disease management
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  21. Deletion of Abi3/Gngt2 influences age-progressive amyloid β and tau pathologies in distinctive ways
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  22. Peroxisomal defects in microglial cells induce a disease-associated microglial signature
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  23. Pathway Analysis Integrating Genome-Wide and Functional Data Identifies <i>PLCG2</i> as a Candidate Gene for Age-Related Macular Degeneration
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  24. Mouse and human microglial phenotypes in Alzheimer’s disease are controlled by amyloid plaque phagocytosis through Hif1α
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  25. Tuberous sclerosis complex‐1 (TSC1) contributes to selective neuronal vulnerability in Alzheimer's disease
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