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Ohio State Develops Searchable Database for Alzheimer's Research

ReachMD Healthcare Image
06/10/2024
wexnermedical.osu.edu

COLUMBUS, Ohio – A searchable database is now ready to help study Alzheimer’s disease. 

Alzheimer’s disease is the most common cause of dementia, accounting for up to 80% of cases. An estimated 6.7 million Americans who are age 65 and older are living with Alzheimer's dementia today, according to the Alzheimer’s Association’s 2023 Alzheimer's disease facts and figures report.

This database will help study the pathology of Alzheimer’s disease. Pathology examines the cause, development, structural/functional changes and natural history associated with diseases.

Molecular signatures underlying Alzheimer's disease pathology have been increasingly explored through single-cell and single-nucleus RNA-sequencing (scRNA-seq & snRNA-seq) and spatial transcriptomics. 

“These technologies have cast fresh light on the exploration of Alzheimer’s disease pathogenesis and sex difference at the cellular and molecular levels. Our ssREAD

repository offers a broader spectrum of Alzheimer’s disease-related datasets, with an optimized analytical pipeline and improved usability,” said study co-corresponding author

Hongjun “Harry” Fu, PhD

, assistant professor of

neuroscience

at Ohio State.

Datasets

The database encompasses 277 integrated datasets from 67 Alzheimer’s disease-related scRNA-seq & snRNA-seq studies, totaling 7,332,202 cells. The repository also includes 381 spatial transcriptomics samples from 85 human and mouse studies.

  • Detailed annotations including cell types and spatial layers
  • Differential gene expressions and functional enrichment analysis
  • Spatially variable genes and deconvolution with single-cell datasets

Interactive visualizations

User-friendly web server to provide comprehensive analysis interpretations and filters support multiple selections

  • Scatter plots for clusters, cell types, and spatial layers
  • Feature plots and violin plots for gene expression profile
  • Real-time gene set enrichment analysis 

“We are closing the gap for researchers by creating this specialized database. Integrating these diverse datasets and conditions will be invaluable for researchers studying the complex landscape of Alzheimer’s disease,” said

Qin Ma, PhD,

professor in Ohio State’s department of

biomedical informatics.

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Schedule22 Jun 2024