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. 2021 Aug 28;12:480. doi: 10.1186/s13287-021-02554-9

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© The Author(s) 2021

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. 3 — ASCs from sSAT, sRC and dSAT showed similar morphology and mesenchymal stromal/stem cells surface marker. A–C ASCs from sSAT, sRC and dSAT microenvironments showed a similar fibroblastic morphology. D–F Cells of each adipose tissue depot are shown in a forward versus side scatter dot plot. G–I Representative histogram of the surface marker CD73; K–M CD90 and O–Q CD105. Blue histograms represent the unstained cells, and the purple histograms represent the stained (positive) cells. J, N, R The graphs represent the mean ± standard deviation of the percentage of positive cells. ANOVA test evaluated the difference among sSAT, sRC and dSAT microenvironments. p value is described below each graph. Count event count, ASCs adipose stromal/stem cells, CD cluster of differentiation, SAT subcutaneous adipose tissue, sSAT superficial SAT, sRC retinacula cutis superficialis, dSAT deep SAT