Abstract
Motivation: High-dimensional mass cytometry (CyTOF), which provides both cellular signatures and inter-cluster interactions like the antagonism between immune activation and suppression, and the pro-inflammatory synergy, sheds light on the cellular and molecular basis of disease pathogenesis. However, revealing the aberrance of intercluster communication networks in CyTOF datasets remains a significant challenge. Results: Here, we developed Sample Classification and direct Association Network among Cell clusters (SCANCell) that quantifies the direct association (DA) network of cell clusters. SCANCell was applied to profile inter-cluster interaction patterns of a well-recruited systemic lupus erythematosus (SLE) cohort, including 8 healthy controls, 10 active SLE patients (APs) and 8 remission SLE patients (RPs). SCANCell identified decreased inter-cluster interactions of CD8+ T cells in APs compared with RPs, and enhanced DA of CD8+ T cells after stimulation with immunostimulatory cytokine interleukin-2 in vitro. These discoveries prove that SCANCell can uncover pathology- and drug stimulationassociated inter-cluster interactions, which potentially benefits understanding of pathogenesis and novel therapeutic strategies.
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CITATION STYLE
Zhang, L., Liu, X., Chen, X., Warden, A. R., Yu, Y., Huang, B., & Ding, X. (2022). SCANCell reveals diverse inter-cluster interaction patterns in systemic lupus erythematosus across the disease spectrum. Bioinformatics, 38(5), 1361–1368. https://doi.org/10.1093/bioinformatics/btab713
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