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. 2022 Mar 18;24:21. doi: 10.1186/s13058-022-01513-3

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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. 2 — Quantitative glycoproteomics analysis. a Workflow of SILAC-based quantitative glycoproteomics in two highly invasive breast cancer cell lines (MDA-MB-231 and Hs578T). b Identification of core fucosylated glycoproteins. Using 0.5 as the threshold ratio, 282 and 250 candidate core-fucosylated glycoproteins were identified in MDA-MB-231 and Hs578T cells, respectively: 140 were common to both cell lines. c Functional network analysis of identified core fucosylated glycoproteins. Functional networks based on IPA predicted the activation state and subsequent effect on cellular functionality. Upstream regulators are in the top tier, and functions are in the bottom tier. FUT8 target proteins are in the middle tier. Orange lines indicate activation and blue lines suppression