一个单细胞和空间RNA-seq数据库对阿尔茨海默病 (ssREAD).
Cankun Wang1, Diana Acosta2, Megan McNutt1
1Department of Biomedical Informatics, The Ohio State University, OH 43210, USA.
bioRxiv : the preprint server for biology
|September 25, 2023
概括
一个新的数据库ssREAD集中了用于阿尔茨海默病 (AD) 研究的单细胞和空间RNA测序数据. 它提供了大量的资源和分析工具,以在细胞水平上更好地了解AD病理.
科学领域:
- 神经科学是一个神经科学.
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 阿尔茨海默病 (AD) 研究越来越多地利用单细胞和空间转录学.
- 现有的数据存储库对于这些复杂的数据集缺乏全面性和用户友好性.
研究的目的:
- 推出ssREAD,这是一个针对阿尔茨海默病单细胞和空间RNA测序数据的统一数据库.
- 为AD研究人员提供一个优化的分析管道,并提高AD研究人员的可用性.
主要方法:
- 综合了来自67个阿尔茨海默病 (AD) 单细胞和单核RNA测序研究 (70万个细胞) 的1053个样本 (277个数据集).
- 存档了来自18个人类和小鼠大脑研究的381个空间转录组数据集.
- 有关物种,性别,大脑区域,疾病状态,年龄和Braak阶段的注释数据集.
主要成果:
- ssREAD提供了广泛的AD相关的转录基因数据.
- 该数据库包括用于细胞聚类,基因表达分析和整合性分析的分析套件.
- 全面的注释方便了详细的数据探索.
结论:
- ssREAD是阿尔茨海默病研究的一个有价值的,用户友好的资源.
- 数据库及其分析工具将加速AD病理学的发现.
- ssREAD促进了在神经退行性疾病研究中的多原子数据的综合分析.
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