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. 2021 Nov 25;4:1325. doi: 10.1038/s42003-021-02859-8

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — a Schematic of the experimental design for mass cytometry by time of flight (CyTOF) and single-cell RNA sequencing (scRNA-seq). Peripheral blood mononuclear cells (PBMCs) of six healthy individuals were collected before and post the 24-h sleep loss, then processed CyTOF and scRNA-seq for the subsequent studies. b Pie charts showing relative cluster abundance in the preSU and postSU groups. The percentage of TC and MYE (c), CD8 T_EM (d), T-mito (e), PC (f), nMC (g) and iMC (h) in CD45⁺ immune cell between preSU and postSU groups (n = 6 /group). i The percentage of NK2 and NK3 subsets in NK between preSU and postSU groups (n = 6 /group). j The percentage of cMC, nMC and cDC in MYE between preSU and postSU groups (n = 6 /group). Significance in d–h was calculated using two-tailed paired t-test; significance in c, i and j was calculated using the “diffcyt-DA-GLMM” method as implemented in the “diffcyt” function in view of the subjects pairing; *P < 0.05, **P < 0.01, ****P < 0.0001. The full names of the 25 cell types in CyTOF see Supplementary Fig. 1.