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利用 scREAD 探索和分析阿尔茨海默病的单细胞和单细胞核 RNA-seq 数据。

Use of scREAD to explore and analyze single-cell and single-nucleus RNA-seq data for Alzheimer's disease.

机构信息

Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.

Department of Neuroscience, The Ohio State University, Columbus, OH 43210, USA.

出版信息

STAR Protoc. 2021 May 3;2(2):100513. doi: 10.1016/j.xpro.2021.100513. eCollection 2021 Jun 18.

DOI:10.1016/j.xpro.2021.100513
PMID:34013209
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8113978/
Abstract

Single-cell RNA-sequencing (scRNA-seq) and single-nucleus RNA-sequencing (snRNA-seq) studies have provided remarkable insights into understanding the molecular pathogenesis of Alzheimer's disease. We recently developed scREAD, a database to provide comprehensive analyses of all the existing AD scRNA-seq and snRNA-seq data from the public domain. Here, we report protocols for using the scREAD web interface and running the backend workflow locally. Our protocols enable custom analyses of AD single-cell and single-nucleus gene expression profiles. For complete details on the use and execution of this protocol, please refer to Jiang et al. (2020).

摘要

单细胞 RNA 测序 (scRNA-seq) 和单核 RNA 测序 (snRNA-seq) 研究为理解阿尔茨海默病的分子发病机制提供了重要的见解。我们最近开发了 scREAD,这是一个数据库,用于对来自公共领域的所有现有的 AD scRNA-seq 和 snRNA-seq 数据进行全面分析。在这里,我们报告了使用 scREAD 网络界面和在本地运行后端工作流程的协议。我们的协议允许对 AD 单细胞和单核基因表达谱进行自定义分析。有关此协议的使用和执行的完整详细信息,请参阅 Jiang 等人。(2020 年)。

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