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. 2022 Aug 31;609(7926):369–374. doi: 10.1038/s41586-022-05140-y

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© The Author(s) 2022

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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Extended Data Fig. 10 — Single-cell RNA sequencing was applied to analyse the characteristics of T cells collected 4 h after preparation by different methods. a, Overview of the 46,558 cells that passed QC for single-cell analysis. Cells are color coded by sample, respectively, in the tSNE plot. b, Expression of T cell marker genes (CD3D, TRAC) in the tSNE plots. c-d, Metabolism (c) and other (d) pathway activities in T cells were scored using the quantitative set analysis for gene expression (QuSAGE) method.