1. Alzheimer DataLENS: An Open Data Analytics Portal for Alzheimer's Disease Research.
- Author
-
Noori, Ayush, Jayakumar, Rojashree, Moturi, Vaishnavi, Li, Zhaozhi, Liu, Rongxin, Serrano-Pozo, Alberto, Hyman, Bradley T., and Das, Sudeshna
- Subjects
ALZHEIMER'S disease ,GENOME-wide association studies ,RNA sequencing ,TRANSCRIPTOMES ,PROTEIN-protein interactions - Abstract
Background: Recent Alzheimer's disease (AD) discoveries are increasingly based on studies from a variety of omics technologies on large cohorts. Currently, there is no easily accessible resource for neuroscientists to browse, query, and visualize these complex datasets in a harmonized manner. Objective: Create an online portal of public omics datasets for AD research. Methods: We developed Alzheimer DataLENS, a web-based portal, using the R Shiny platform to query and visualize publicly available transcriptomics and genetics studies of AD on human cohorts. To ensure consistent representation of AD findings, all datasets were processed through a uniform bioinformatics pipeline. Results: Alzheimer DataLENS currently houses 2 single-nucleus RNA sequencing datasets, over 30 bulk RNA sequencing datasets from 19 brain regions and 3 cohorts, and 2 genome-wide association studies (GWAS). Available visualizations for single-nucleus data include bubble plots, heatmaps, and UMAP plots; for bulk expression data include box plots and heatmaps; for pathways include protein-protein interaction network plots; and for GWAS results include Manhattan plots. Alzheimer DataLENS also links to two other knowledge resources: the AD Progression Atlas and the Astrocyte Atlas. Conclusions: Alzheimer DataLENS is a valuable resource for investigators to quickly and systematically explore omics datasets and is freely accessible at . [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF