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iScienceBioinformaticsPeer-reviewed journal article

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

Jing JiangiD, Cankun WangiD, Ren QiiD, Hongjun FuiD, Qin MaiD

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Abstract

SummaryAlzheimers 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 Alzheimers 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 ImplementationscREAD 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. Contactqin.ma@osumc.edu or hongjun.fu@osumc.edu Supplementary informationSupplementary data are available at Bioinformatics online.

Citations
142
FWCI
7.22
Field percentile
top 2%

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