Abstract
Cell-cell communication is the basis of physiological processes and cell signals. The disease occurs when the cells do not adequately communicate and the messages are blocked. With ligand-receptor interaction databases and single-cell RNA sequencing (scRNA-seq) databases, we can detect intercellular signaling and reconstruct the cell–cell communications among different cell types. This review summarized the computational approaches for analyzing the cell–cell communication based on scRNA-seq data and discussed its applications in carcinogenesis and COVID-19. We believe that this review will accelerate the scRNA-seq data deciphering and facilitate the cell–cell communication studies for complex physiological processes, such as carcinogenesis and SARS-CoV-2 infection.
【저자키워드】 COVID-19, Single-cell RNA sequencing, Cell-cell communication, Ligand-receptor pair, Carcinogenesis, 【초록키워드】 SARS-COV-2 infection, database, disease, scRNA-seq, Signaling, Interaction, physiological, cell types, complex, scRNA-seq data, Cell, blocked, detect, facilitate, occur, accelerate, computational approach, intercellular, 【제목키워드】 Analysis,