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. 2023 Mar 21;21:210. doi: 10.1186/s12967-023-04051-4

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© The Author(s) 2023

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. 6 — ScRNA-seq delineates the cellular landscape of PDAC and adjacent noncancerous tissues. A–C t-SNE plot showing original cell clusters (A), renamed cell types (B), specimens derived information in PDAC (C). Each dot represented one cell, and cell types were coded with different colors. D–F t-SNE plot showing the cellular landscape of adjacent noncancerous tissues. G–H Dot plots showing top 5 cell types-specific genes. Size of dots indicated the proportion of cells expressing the selected genes, and intensity of color (from white to purple) indicated the average expression level. I The box plots showing the proportion of cell types in PDAC and the counterpart tissues. For pie charts, the proportion of stromal cells (green) was showed. J The differences in the proportion of positive cells expressing immune marker between PDAC and adjacent noncancerous tissues