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. 2023 Apr 27;21:98. doi: 10.1186/s12915-023-01593-3

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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. 4 — Heterogeneity in glycolysis activation identified within lung-colonizing osteosarcoma lesions. A, B Immunofluorescence staining of mouse lungs bearing OS-17 and 143B lung-colonizing tumors, respectively, for GLUT1 (green; a marker of glycolysis) and vimentin (red; marker to identify osteosarcoma cells). Magnified GLUT1 staining is shown for the boxed regions on the whole-section images. Lesion edges are indicated by white outlines in the magnified regions. Tumors showed a high degree of intra-tumor variation in GLUT1 staining intensity. C FeaturePlots for the glycolysis module score in patient primary and metastatic tumor datasets. The module score for Glycolysis was calculated using the “AddModuleScore” function in Seurat with MSigDB HALLMARK_GLYCOLYSIS genes as input features for the expression program