FlyPhoneDB: an integrated web-based resource for cell-cell communication prediction in Drosophila.

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 FlyPhon

SUBMITTER: Liu Y 

PROVIDER: S-EPMC9176295 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature