NAGs) from public databases and the literature and identified 86 and 687 factors as the first- and second-neighbor NAGs, respectively. We retrieved 67 gene expression datasets of 24 neurological diseases from Gene Expression Omnibus (GEO) and ArrayExpress. The gene expression profiles of ARSs/AIMPs and their neighboring NAGs were compared with negative controls (non-NAGs). We obtained P values for each dataset and combined them for each disease. Then, the P values for each disease were combined into a value representing the whole set of 24 neurological diseases. Additionally, we created a subnetwork representing biological processes and P values using the Database for Annotation, Visualization, and Integrated Discovery (DAVID).Quite a few ARSs/AIMPs and first- and second-neighbor NAGs were differentially expressed genes (DEGs) in neurodegenerative diseases such as Alzheimer’s disease and Parkinson’s disease. In summary, 20 human cytosolic ARSs and 3 AIMPs are strongly connected to diverse NAGs and are differentially expressed in neurological diseases, indicating their implication in these diseases.
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Bioinformatic analysis on pathological association of human aminoacyl-tRNA synthetases and their protein network with neurological diseases