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
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.
- organism: human
- organism: mouse
- assay: scRNA-seq
- assay: snRNA-seq
- research focus: database / resource
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 142
- FWCI
- 7.22
- Field percentile
- top 2%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A Single-cell and Spatial RNA-seq Database for Alzheimer's Disease (ssREAD)
Cankun Wang, Diana M. Acosta, … Qin Ma·Nature CommunicationsPeer-reviewed·Jun 6, 2024
- Avoiding false discoveries: Revisiting an Alzheimer's disease snRNA-Seq dataset
Alan E Murphy, Nurun Nahar Fancy, Nathan Skene·bioRxiv·Apr 1, 2023
- Molecular mechanism decipher of Alzheimer's disease based on single-cell RNA-seq information
Xue Jiang, Dong-Qing Wei, … Éric Gilson·bioRxiv·Nov 22, 2025
- A single-cell atlas of the human brain in Alzheimer's disease and its implications for personalized drug repositioning
Guangsheng Pei, Brisa Simões Fernandes, … Zhongming Zhao·bioRxiv·Jun 14, 2022
- A public resource of single cell transcriptomes and multiscale networks from persons with and without Alzheimer's disease
Qi Wang, Jerry Antone, … Ben Readhead·Nature CommunicationsPeer-reviewed·Jul 10, 2024
- scAGG: Sample-level embedding and classification of Alzheimer's disease from single-nucleus data
Timo Verlaan, Gerard A. Bouland, … Marcel J. T. Reinders·Computational and Structural Biotechnology JournalPeer-reviewed·Jan 1, 2025