Rxivist logo

scREAD: A single-cell RNA-Seq database for Alzheimer's Disease

By Jing Jiang, Cankun Wang, Ren Qi, Hongjun Fu, Qin Ma

Posted 06 Aug 2020
bioRxiv DOI: 10.1101/2020.08.06.240044 (published DOI: 10.1016/j.isci.2020.101769)

Summary: Alzheimer's disease (AD) is a progressive neurodegenerative disorder of the brain and the most common form of dementia among the elderly. The single-cell RNA-sequencing (scRNA-Seq) and single-nucleus RNA-sequencing (snRNA-Seq) techniques are extremely useful for dissecting the function/dysfunction of highly heterogeneous cells in the brain at the single-cell level, and the corresponding data analyses can significantly improve our understanding of why particular cells are vulnerable in AD. We developed an integrated database named scREAD (single-cell RNA-Seq database for Alzheimer's Disease), which is the first database dedicated to the management of all the existing scRNA-Seq and snRNA-Seq datasets from human postmortem brain tissue with AD and mouse models with AD pathology. scREAD provides comprehensive analysis results for 55 datasets from eight brain regions, including control atlas construction, cell type prediction, identification of differentially expressed genes, and identification of cell-type-specific regulons. Availability and Implementation: scREAD is a one-stop and user-friendly interface and freely available at https://bmbls.bmi.osumc.edu/scread/. The backend workflow can be downloaded from https://github.com/OSU-BMBL/scread/tree/master/script, to enable more discovery-driven analyses. Contact: qin.ma@osumc.edu or hongjun.fu@osumc.edu ### Competing Interest Statement The authors have declared no competing interest.

Download data

  • Downloaded 674 times
  • Download rankings, all-time:
    • Site-wide: 39,623
    • In bioinformatics: 4,296
  • Year to date:
    • Site-wide: 37,368
  • Since beginning of last month:
    • Site-wide: 49,921

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide