{"doi":"10.1016/j.csbj.2021.04.021","title":"DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species","abstract":"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.","journal":"Computational and Structural Biotechnology Journal","year":2021,"id":163847,"datarank":1.1079720678880092,"base_score":3.713572066704308,"endowment":3.713572066704308,"self_citation_contribution":0.5570358100056463,"citation_network_contribution":0.550936257882363,"self_endowment_contribution":0.5570358100056463,"citer_contribution":0.550936257882363,"corpus_percentile":81.62760114489053,"corpus_rank":2376,"citation_count":40,"citer_count":29,"citers_with_citation_signal":23,"citers_with_endowment":23,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.9275,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":355992,"name":"Sudhir Gopal Tattikota","orcid":"0000-0003-0318-5533","position":1,"is_corresponding":false},{"id":298399,"name":"Yifang Liu","orcid":"0000-0002-5382-640X","position":2,"is_corresponding":false},{"id":259036,"name":"Aram Comjean","orcid":"0000-0003-4125-0703","position":3,"is_corresponding":false},{"id":298400,"name":"Yue Gao","orcid":"0000-0003-0326-6472","position":4,"is_corresponding":false},{"id":684385,"name":"Corey Forman","orcid":null,"position":5,"is_corresponding":false},{"id":683988,"name":"Grace Kim","orcid":"0000-0002-8680-336X","position":6,"is_corresponding":false},{"id":298398,"name":"Jonathan Rodiger","orcid":"0000-0002-1540-5030","position":7,"is_corresponding":false},{"id":13898,"name":"Irene Papatheodorou","orcid":"0000-0001-7270-5470","position":8,"is_corresponding":false},{"id":63125,"name":"Gilberto Dos Santos","orcid":null,"position":9,"is_corresponding":false},{"id":259045,"name":"Stephanie E. Mohr","orcid":"0000-0001-9639-7708","position":10,"is_corresponding":false},{"id":14957,"name":"Norbert Perrimon","orcid":"0000-0001-7542-472X","position":11,"is_corresponding":false},{"id":259031,"name":"Yanhui Hu","orcid":"0000-0003-1494-1402","position":0,"is_corresponding":true}],"reference_count":58,"raw_metadata":null,"created_at":"2026-07-18T23:45:22.477398Z","pmid":"33995899","pmcid":"PMC8085783","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}