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DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species
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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085783/ https://www.ncbi.nlm.nih.gov/pubmed/33995899 http://dx.doi.org/10.1016/j.csbj.2021.04.021 |
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author | 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 |
author_facet | 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 |
author_sort | Hu, Yanhui |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8085783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-80857832021-05-13 DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species 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 Comput Struct Biotechnol J Research Article 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. Research Network of Computational and Structural Biotechnology 2021-04-11 /pmc/articles/PMC8085783/ /pubmed/33995899 http://dx.doi.org/10.1016/j.csbj.2021.04.021 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article 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 DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species |
title | DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species |
title_full | DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species |
title_fullStr | DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species |
title_full_unstemmed | DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species |
title_short | DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species |
title_sort | drscdb: a single-cell rna-seq resource for data mining and data comparison across species |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085783/ https://www.ncbi.nlm.nih.gov/pubmed/33995899 http://dx.doi.org/10.1016/j.csbj.2021.04.021 |
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