Cell-cell communication analysis for single-cell RNA sequencing and its applications in carcinogenesis and COVID-19
With ligand-receptor interaction databases and single-cell RNA sequencing (scRNA-seq) databases, intercellular signaling can be detected and cell–cell communications among different cell types can be reconstructed. The authors of this review article summarize the computational approaches for analyzing the cell–cell communication based on scRNA-seq data and discuss its applications in carcinogenesis and COVID-19. This review supports the acceleration of scRNA-seq data deciphering and facilitates cell–cell communication studies for complex physiological processes, such as carcinogenesis and SARS-CoV-2 infection.
Keywords: Cell-cell communication; Ligand-receptor pair; Single-cell RNA sequencing; Carcinogenesis; COVID-19
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Article reference: Md Wahiduzzaman, Yuexing Liu, Tao Huang, Wu Wei, Yixue Li, Cell-cell communication analysis for single-cell RNA sequencing and its applications in carcinogenesis and COVID-19, Biosafety and Health, 2022, ISSN 2590-0536, https://doi.org/10.1016/j.bsheal.2022.03.001.