{"doi":"10.1093/genetics/iyab235","title":"FlyPhoneDB: an integrated web-based resource for cell–cell communication prediction in <i>Drosophila</i>","abstract":"Multicellular organisms rely on cell-cell communication to exchange information necessary for developmental processes and metabolic homeostasis. Cell-cell communication pathways can be inferred from transcriptomic datasets based on ligand-receptor expression. Recently, data generated from single-cell RNA sequencing have enabled ligand-receptor interaction predictions at an unprecedented resolution. While computational methods are available to infer cell-cell communication in vertebrates such a tool does not yet exist for Drosophila. Here, we generated a high-confidence list of ligand-receptor pairs for the major fly signaling pathways and developed FlyPhoneDB, a quantification algorithm that calculates interaction scores to predict ligand-receptor interactions between cells. At the FlyPhoneDB user interface, results are presented in a variety of tabular and graphical formats to facilitate biological interpretation. To illustrate that FlyPhoneDB can effectively identify active ligands and receptors to uncover cell-cell communication events, we applied FlyPhoneDB to Drosophila single-cell RNA sequencing data sets from adult midgut, abdomen, and blood, and demonstrate that FlyPhoneDB can readily identify previously characterized cell-cell communication pathways. Altogether, FlyPhoneDB is an easy-to-use framework that can be used to predict cell-cell communication between cell types from single-cell RNA sequencing data in Drosophila.","journal":"Genetics","year":2021,"id":163450,"datarank":1.0187565135463084,"base_score":3.7612001156935624,"endowment":3.7612001156935624,"self_citation_contribution":0.5641800173540344,"citation_network_contribution":0.4545764961922739,"self_endowment_contribution":0.5641800173540344,"citer_contribution":0.4545764961922739,"corpus_percentile":80.0959232613909,"corpus_rank":2574,"citation_count":42,"citer_count":28,"citers_with_citation_signal":22,"citers_with_endowment":22,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.7056,"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":683235,"name":"Joshua Shing Shun Li","orcid":"0000-0003-1723-0964","position":1,"is_corresponding":false},{"id":298398,"name":"Jonathan Rodiger","orcid":"0000-0002-1540-5030","position":2,"is_corresponding":false},{"id":259036,"name":"Aram Comjean","orcid":"0000-0003-4125-0703","position":3,"is_corresponding":false},{"id":103815,"name":"Helen Attrill","orcid":"0000-0003-3212-6364","position":4,"is_corresponding":false},{"id":103814,"name":"Giulia Antonazzo","orcid":"0000-0003-0086-5621","position":5,"is_corresponding":false},{"id":103816,"name":"Nicholas H. Brown","orcid":"0000-0002-8958-7017","position":6,"is_corresponding":false},{"id":259031,"name":"Yanhui Hu","orcid":"0000-0003-1494-1402","position":7,"is_corresponding":false},{"id":14957,"name":"Norbert Perrimon","orcid":"0000-0001-7542-472X","position":8,"is_corresponding":false},{"id":298399,"name":"Yifang Liu","orcid":"0000-0002-5382-640X","position":0,"is_corresponding":true}],"reference_count":29,"raw_metadata":null,"created_at":"2026-07-18T23:45:22.477398Z","pmid":"35100387","pmcid":"PMC9176295","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":[]}