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• W4210361961 abstract "Microarray technologies have identified imbalances in the expression of specific genes and biological pathways in Alzheimer's disease (AD) brains. However, there is a lack of reproducibility across individual AD studies, and many related neurodegenerative and mental health disorders exhibit similar perturbations.Meta-analyze publicly available transcriptomic data from multiple brain-related disorders to identify robust transcriptomic changes specific to AD brains.Twenty-two AD, eight schizophrenia, five bipolar disorder, four Huntington's disease, two major depressive disorder, and one Parkinson's disease dataset totaling 2,667 samples and mapping to four different brain regions (temporal lobe, frontal lobe, parietal lobe, and cerebellum) were analyzed. Differential expression analysis was performed independently in each dataset, followed by meta-analysis using a combining p-value method known as Adaptively Weighted with One-sided Correction.Meta-analysis identified 323, 435, 1,023, and 828 differentially expressed genes specific to the AD temporal lobe, frontal lobe, parietal lobe, and cerebellum brain regions, respectively. Seven of these genes were consistently perturbed across all AD brain regions with SPCS1 gene expression pattern replicating in RNA-Seq data. A further nineteen genes were perturbed specifically in AD brain regions affected by both plaques and tangles, suggesting possible involvement in AD neuropathology. In addition, biological pathways involved in the metabolism of proteins and viral components were significantly enriched across AD brains.This study identified transcriptomic changes specific to AD brains, which could make a significant contribution toward the understanding of AD disease mechanisms and may also provide new therapeutic targets." @default.
• W4210361961 created "2022-02-08" @default.
• W4210361961 creator A5004056310 @default.
• W4210361961 creator A5060059644 @default.
• W4210361961 creator A5066918469 @default.
• W4210361961 date "2019-04-23" @default.
• W4210361961 modified "2023-10-12" @default.
• W4210361961 title "A Meta-Analysis of Alzheimer’s Disease Brain Transcriptomic Data" @default.
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• W4210361961 doi "https://doi.org/10.3233/jad-181085" @default.
• W4210361961 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30909231" @default.
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