Our front cover features a high-dimensional BH-SNE representation of the CD4 T cell phenotype in patients affected by COVID-19. The image is taken from Manfredi and Abbati et al., and developed through cytoChain, an innovative application for the analysis of high-dimensional flow cytometry data. CytoChain refined the COVID-19 dataset analysis published by Neumann et al. (DOI 10.1002/cti2.1204), underlining previously missed differences among COVID-19 patients. A novel set of surface markers was thus uncovered, indicating how a T cell subset expressing multiple inhibitory receptors is more abundant in severe COVID-19 cases.

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封面故事：欧元。J.免疫学。8'21

我们的封面以高维 BH-SNE 表示受 COVID-19 影响的患者的 CD4 T 细胞表型。该图像取自 Manfredi 和 Abbati 等人，并通过 cytoChain 开发，这是一种用于分析高维流式细胞术数据的创新应用程序。CytoChain 改进了 Neumann 等人发表的 COVID-19 数据集分析。（DOI 10.1002/cti2.1204），强调了先前忽略的 COVID-19 患者之间的差异。因此发现了一组新的表面标志物，表明在严重的 COVID-19 病例中表达多种抑制性受体的 T 细胞亚群如何更丰富。