DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species

被引：21

作者：

Hu Y. ^{[1
,2
]}

Tattikota S.G. ^{[1
]}

Liu Y. ^{[1
,2
]}

Comjean A. ^{[1
,2
]}

Gao Y. ^{[1
,2
]}

Forman C. ^{[1
]}

Kim G. ^{[1
]}

Rodiger J. ^{[1
,2
]}

Papatheodorou I. ^{[3
]}

dos Santos G. ^{[4
]}

Mohr S.E. ^{[1
,2
]}

Perrimon N. ^{[1
,2
,5
]}

机构：

[1] Department of Genetics, Blavatnik Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, 02115, MA

[2] Drosophila RNAi Screening Center, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, 02115, MA

[3] European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton

[4] The Biological Laboratories, Harvard University, 16 Divinity Avenue, Cambridge, 02138, MA

[5] Howard Hughes Medical Institute, 77 Avenue Louis Pasteur, Boston, 02115, MA

来源：

Computational and Structural Biotechnology Journal | 2021年 / 19卷

关键词：

Cross-species analysis; Data mining; Model organisms; single-cell RNA-seq;

D O I：

10.1016/j.csbj.2021.04.021

中图分类号：

学科分类号：

摘要：

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 Drosophila. 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 Drosophila and relevant datasets from human and other model organisms. DRscDB is based on manual curation of Drosophila 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. © 2021 The Authors

引用

页码：2018 / 2026

页数：8

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