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. 2022 Jul 16;20:329. doi: 10.1186/s12951-022-01531-5

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© The Author(s) 2022

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 5 — The ICD cascade generated by NP@Pt-1 promoted the cancer immune response in vivo. A Gating strategies for flow cytometric analysis of tumor, peripheral lymphocytes and spleen. B Flow cytometry study of DC maturation in tumor-draining lymph nodes. Cells were stained with CD11c antibody. Gating on CD11c⁺ cells, the percentage of DC maturation as indicated by the portion of CD80⁺CD86⁺ cells can be identified. C, D Flow cytometry study of T cell proliferation in spleen (C) and CT26 tumor (D). Cells were stained with CD3 antibody. For gating on CD3⁺ cells, we identified the percentage of CD8⁺ T cells as indicated by the portion of CD8⁺ cells. E Percentage of CD3⁺CD8⁺ T cell in spleen and CT26 tumor. F Percentage of CD80⁺CD86⁺ cells in tumor-draining lymph nodes. Data are shown as means ± SD, n = 3; *p < 0.05, **p < 0.01