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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
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.
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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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