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. 2020 Mar 31;78(1):337–350. doi: 10.1007/s00018-020-03504-z

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© The Author(s) 2020

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/.

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Fig. 3 — PCA based on relative abundance (%) of calculated structural glycan features. A separation between colon-like and undifferentiated cell lines is illustrated in the a PCA score plot of PC1 against PC2. b The PCA loading plot displays the variables that drive the separation in the PCA model. The top three principal components explain 68.58% of the variation within the data. Biological and technical replicates were averaged per cell line