Hu Yanhui, Tattikota Sudhir Gopal, Liu Yifang, Comjean Aram, Gao Yue, Forman Corey, Kim Grace, Rodiger Jonathan, Papatheodorou Irene, Dos Santos Gilberto, Mohr Stephanie E, Perrimon Norbert
Department of Genetics, Blavatnik Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.
Drosophila RNAi Screening Center, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.
Comput Struct Biotechnol J. 2021 Apr 11;19:2018-2026. doi: 10.1016/j.csbj.2021.04.021. eCollection 2021.
With the advent of single-cell RNA sequencing (scRNA-seq) technologies, there has been a spike in studies involving scRNA-seq of several tissues across diverse species including . Although a few databases exist for users to query genes of interest within the scRNA-seq studies, search tools that enable users to find orthologous genes and their cell type-specific expression patterns across species are limited. Here, we built a new search database, DRscDB (https://www.flyrnai.org/tools/single_cell/web/), to address this need. DRscDB serves as a comprehensive repository for published scRNA-seq datasets for and relevant datasets from human and other model organisms. DRscDB is based on manual curation of scRNA-seq studies of various tissue types and their corresponding analogous tissues in vertebrates including zebrafish, mouse, and human. Of note, our search database provides most of the literature-derived marker genes, thus preserving the original analysis of the published scRNA-seq datasets. Finally, DRscDB serves as a web-based user interface that allows users to mine gene expression data from scRNA-seq studies and perform cell cluster enrichment analyses pertaining to various scRNA-seq studies, both within and across species.
随着单细胞RNA测序（scRNA-seq）技术的出现，涉及对包括……在内的多种物种的多个组织进行scRNA-seq的研究数量激增。尽管存在一些数据库供用户在scRNA-seq研究中查询感兴趣的基因，但能够让用户找到跨物种直系同源基因及其细胞类型特异性表达模式的搜索工具却很有限。在此，我们构建了一个新的搜索数据库DRscDB（https://www.flyrnai.org/tools/single_cell/web/）来满足这一需求。DRscDB作为已发表的针对……以及来自人类和其他模式生物的相关数据集的scRNA-seq数据集的综合存储库。DRscDB基于对各种组织类型及其在包括斑马鱼、小鼠和人类在内的脊椎动物中的相应类似组织的scRNA-seq研究的人工整理。值得注意的是，我们的搜索数据库提供了大多数源自文献的标记基因，从而保留了已发表的scRNA-seq数据集的原始分析。最后，DRscDB作为一个基于网络的用户界面，允许用户挖掘scRNA-seq研究中的基因表达数据，并对各种scRNA-seq研究（包括物种内和物种间）进行细胞簇富集分析。
