MicroRNA-Seq Data Analysis Pipeline to Identify Blood Biomarkers for Alzheimer's Disease from Public Data:

摘要: Background: Alzheimer's disease (AD) is the most common cause of dementia with no curative therapy currently available. Establishment sensitive and non-invasive biomarkers that promote an early diagnosis AD crucial for effective administration disease-modifying drugs. MicroRNAs (miRNAs) mediate posttranscriptional repression numerous target genes. Aberrant regulation miRNA expression implicated in pathogenesis, circulating miRNAs serve as potential AD. However, data analysis AD-specific derived from small RNA-sequencing (RNA-Seq) often laborious. Methods: To identify AD, we reanalyzed a publicly available RNA-Seq dataset, composed blood samples 48 patients 22 normal control (NC) subjects, by simple web-based pipeline combines omiRas DIANA miRPath. Results: By using omiRas, identified 27 expressed differentially between both groups, including upregulation miR-26b-3p, miR-28–3p, miR-30c-5p, miR-30d-5p, miR-148b-5p, miR-151a-3p, miR-186–5p, miR-425–5p, miR-550a-5p, miR-1468, miR-4781–3p, miR-5001–3p, miR-6513–3p downregulation let-7a-5p, let-7e-5p, let-7f-5p, let-7g-5p, miR-15a-5p, miR-17–3p, miR-29b-3p, miR-98–5p, miR-144–5p, miR-148a-3p, miR-502–3p, miR-660–5p, miR-1294, miR-3200–3p. miRPath indicated miRNA-regulated pathways potentially downregulated are linked neuronal synaptic functions, while those upregulated cell survival cellular communication. Conclusions: The helps us to effortlessly candidates complex data.