scREAD: A Single-Cell RNA-Seq Database for Alzheimer's Disease.

scREAD: A Single-Cell RNA-Seq Database for Alzheimer's Disease.
复制标题

DOI:
10.1016/j.isci.2020.101769
复制
发表时间:
2020-11-20
期刊:
影响因子:
5.8
通讯作者:
Ma Q
Ma Q
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Jiang J;Wang C;Qi R;Fu H;Ma Q

文献摘要

参考文献

被引文献

相似文献

阿尔茨海默病(AD)是一种进行性大脑神经退行性疾病,也是老年人中最常见的痴呆症。单细胞RNA测序(scRNA-Seq)和单核RNA测序(snRNA-Seq)技术对于在单细胞水平上剖析大脑中高度异质性细胞的功能/功能异常非常有用,相应的数据分析可以显着提高我们对为什么特定细胞在AD中脆弱的理解。我们开发了一个名为scREAD(阿尔茨海默氏病单细胞RNA-Seq数据库)的综合数据库,这是据我们所知第一个专门用于管理来自人类死后AD脑组织和AD病理小鼠模型的所有现有scRNA-Seq和snRNA-Seq数据集的数据库。 scREAD提供了来自10个大脑区域的73个数据集的综合分析结果,包括控制图谱构建、细胞类型预测、差异表达基因的识别以及细胞类型特异性调节子的识别。首个专用于阿尔茨海默病 sc/snRNA-Seq 数据集的数据库 大脑主要细胞类型的控制图谱和疾病数据集构建 用户友好的网络服务器,提供全面的分析解释生物信息学;生物数据库
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 as far as we know the first database dedicated to the management of all the existing scRNA-Seq and snRNA-Seq data sets from the human postmortem brain tissue with AD and mouse models with AD pathology. scREAD provides comprehensive analysis results for 73 data sets from 10 brain regions, including control atlas construction, cell-type prediction, identification of differentially expressed genes, and identification of cell-type-specific regulons. First-of-its-kind database dedicated to Alzheimer's disease sc/snRNA-Seq data sets Control atlas and disease data sets construction for major cell types in the brain User-friendly web server to provide comprehensive analysis interpretations Neuroscience; Bioinformatics; Biological Database
DOI: 10.1038/nbt.4314
发表时间: 2019-01-01
影响因子: 46.9
作者:
Becht, Etienne;McInnes, Leland;Newell, Evan W.
通讯作者: Newell, Evan W.
DOI: 10.1016/j.celrep.2017.09.039
发表时间: 2017-10-10
期刊: Cell reports
影响因子: 8.8
作者:
Mathys H;Adaikkan C;Gao F;Young JZ;Manet E;Hemberg M;De Jager PL;Ransohoff RM;Regev A;Tsai LH
通讯作者: Tsai LH
DOI: 10.1016/j.tins.2011.05.005
发表时间: 2011-08
影响因子: 15.9
作者:
Ewers M;Sperling RA;Klunk WE;Weiner MW;Hampel H
通讯作者: Hampel H
DOI: 10.1186/s13059-019-1795-z
发表时间: 2019-09-09
期刊: GENOME BIOLOGY
影响因子: 12.3
作者:
Abdelaal, Tamim;Michielsen, Lieke;Mahfouz, Ahmed
通讯作者: Mahfouz, Ahmed
DOI: 10.11477/mf.1416200437
发表时间: 2016-05-01
期刊: Brain and nerve = Shinkei kenkyu no shinpo
影响因子: --
作者:
Shinagawa, Shunichiro
通讯作者: Shinagawa, Shunichiro