Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

ssREAD

General information

URL: https://bmblx.bmi.osumc.edu/ssread
Full name: A Single-cell and Spatial RNA-Seq Database for Alzheimer's Disease
Description: ssREAD is a single-cell and spatial RNA-seq database for Alzheimer’s disease, encompassing 1,053 samples from 67 scRNA-seq & snRNA-seq studies and 381 ST datasets from 18 human and mouse brain studies.
Year founded: 2024
Last update: 2024
Version: v1.0
Accessibility:
Accessible
Country/Region: United States

Contact information

University/Institution: The Ohio State University
Address: Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210 USA
City:
Province/State: OH
Country/Region: United States
Contact name (PI/Team): Qin Ma
Contact email (PI/Helpdesk): qin.ma@osumc.edu

Publications

38844475
A single-cell and spatial RNA-seq database for Alzheimer's disease (ssREAD). [PMID: 38844475]
Cankun Wang, Diana Acosta, Megan McNutt, Jiang Bian, Anjun Ma, Hongjun Fu, Qin Ma

Alzheimer's Disease (AD) pathology has been increasingly explored through single-cell and single-nucleus RNA-sequencing (scRNA-seq & snRNA-seq) and spatial transcriptomics (ST). However, the surge in data demands a comprehensive, user-friendly repository. Addressing this, we introduce a single-cell and spatial RNA-seq database for Alzheimer's disease (ssREAD). It offers a broader spectrum of AD-related datasets, an optimized analytical pipeline, and improved usability. The database encompasses 1,053 samples (277 integrated datasets) from 67 AD-related scRNA-seq & snRNA-seq studies, totaling 7,332,202 cells. Additionally, it archives 381 ST datasets from 18 human and mouse brain studies. Each dataset is annotated with details such as species, gender, brain region, disease/control status, age, and AD Braak stages. ssREAD also provides an analysis suite for cell clustering, identification of differentially expressed and spatially variable genes, cell-type-specific marker genes and regulons, and spot deconvolution for integrative analysis. ssREAD is freely available at https://bmblx.bmi.osumc.edu/ssread/ .

Nat Commun. 2024:15(1) | 28 Citations (from Europe PMC, 2025-12-13)
37745592
A Single-cell and Spatial RNA-seq Database for Alzheimer's Disease (ssREAD). [PMID: 37745592]
Cankun Wang, Diana Acosta, Megan McNutt, Jiang Bian, Anjun Ma, Hongjun Fu, Qin Ma

Alzheimer's Disease (AD) pathology has been increasingly explored through single-cell and single-nucleus RNA-sequencing (scRNA-seq & snRNA-seq) and spatial transcriptomics (ST). However, the surge in data demands a comprehensive, user-friendly repository. Addressing this, we introduce a single-cell and spatial RNA-seq database for Alzheimer's disease (ssREAD). It offers a broader spectrum of AD-related datasets, an optimized analytical pipeline, and improved usability. The database encompasses 1,053 samples (277 integrated datasets) from 67 AD-related scRNA-seq & snRNA-seq studies, totaling 7,332,202 cells. Additionally, it archives 381 ST datasets from 18 human and mouse brain studies. Each dataset is annotated with details such as species, gender, brain region, disease/control status, age, and AD Braak stages. ssREAD also provides an analysis suite for cell clustering, identification of differentially expressed and spatially variable genes, cell-type-specific marker genes and regulons, and spot deconvolution for integrative analysis. ssREAD is freely available at https://bmblx.bmi.osumc.edu/ssread/.

bioRxiv. 2024:() | 0 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
676/6895 (90.21%)
Expression:
118/1347 (91.314%)
Health and medicine:
169/1738 (90.334%)
Metadata:
65/719 (91.099%)
676
Total Rank
23
Citations
23
z-index

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Record metadata

Created on: 2024-07-15
Curated by:
Wenzhuo Cheng [2024-08-22]
Miaomiao Wang [2024-07-19]
Miaomiao Wang [2024-07-16]
shaosen zhang [2024-07-15]