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      ST3GAL5‐catalyzed gangliosides inhibit TGF‐β‐induced epithelial‐mesenchymal transition via TβRI degradation

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          Abstract

          Epithelial‐mesenchymal transition (EMT) is pivotal in the initiation and development of cancer cell metastasis. We observed that the abundance of glycosphingolipids (GSLs), especially ganglioside subtypes, decreased significantly during TGF‐β‐induced EMT in NMuMG mouse mammary epithelial cells and A549 human lung adenocarcinoma cells. Transcriptional profiling showed that TGF‐β/SMAD response genes and EMT signatures were strongly enriched in NMuMG cells, along with depletion of UDP‐glucose ceramide glucosyltransferase (UGCG), the enzyme that catalyzes the initial step in GSL biosynthesis. Consistent with this finding, genetic or pharmacological inhibition of UGCG promoted TGF‐β signaling and TGF‐β‐induced EMT. UGCG inhibition promoted A549 cell migration, extravasation in the zebrafish xenograft model, and metastasis in mice. Mechanistically, GSLs inhibited TGF‐β signaling by promoting lipid raft localization of the TGF‐β type I receptor (TβRI) and by increasing TβRI ubiquitination and degradation. Importantly, we identified ST3GAL5‐synthesized a‐series gangliosides as the main GSL subtype involved in inhibition of TGF‐β signaling and TGF‐β‐induced EMT in A549 cells. Notably, ST3GAL5 is weakly expressed in lung cancer tissues compared to adjacent nonmalignant tissues, and its expression correlates with good prognosis.

          Abstract

          Plasma membrane glycosphingolipid composition and related biosynthesis enzymes suppress dynamic EMT and malignant transformation in human epithelia.

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          Most cited references91

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          Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

          Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.
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            PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes.

            DNA microarrays can be used to identify gene expression changes characteristic of human disease. This is challenging, however, when relevant differences are subtle at the level of individual genes. We introduce an analytical strategy, Gene Set Enrichment Analysis, designed to detect modest but coordinate changes in the expression of groups of functionally related genes. Using this approach, we identify a set of genes involved in oxidative phosphorylation whose expression is coordinately decreased in human diabetic muscle. Expression of these genes is high at sites of insulin-mediated glucose disposal, activated by PGC-1alpha and correlated with total-body aerobic capacity. Our results associate this gene set with clinically important variation in human metabolism and illustrate the value of pathway relationships in the analysis of genomic profiling experiments.
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              Molecular mechanisms of epithelial-mesenchymal transition.

              The transdifferentiation of epithelial cells into motile mesenchymal cells, a process known as epithelial-mesenchymal transition (EMT), is integral in development, wound healing and stem cell behaviour, and contributes pathologically to fibrosis and cancer progression. This switch in cell differentiation and behaviour is mediated by key transcription factors, including SNAIL, zinc-finger E-box-binding (ZEB) and basic helix-loop-helix transcription factors, the functions of which are finely regulated at the transcriptional, translational and post-translational levels. The reprogramming of gene expression during EMT, as well as non-transcriptional changes, are initiated and controlled by signalling pathways that respond to extracellular cues. Among these, transforming growth factor-β (TGFβ) family signalling has a predominant role; however, the convergence of signalling pathways is essential for EMT.
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                Author and article information

                Contributors
                t.zhang@lumc.nl
                p.ten_dijke@lumc.nl
                Journal
                EMBO J
                EMBO J
                10.1002/(ISSN)1460-2075
                EMBJ
                embojnl
                The EMBO Journal
                John Wiley and Sons Inc. (Hoboken )
                0261-4189
                1460-2075
                12 December 2022
                January 2023
                12 December 2022
                : 42
                : 2 ( doiID: 10.1002/embj.v42.2 )
                : e110553
                Affiliations
                [ 1 ] Oncode Institute and Department of Cell and Chemical Biology Leiden University Medical Center Leiden The Netherlands
                [ 2 ] Sequencing Analysis Support Core Leiden University Medical Center Leiden The Netherlands
                [ 3 ] Center for Proteomics and Metabolomics Leiden University Medical Center Leiden The Netherlands
                [ 4 ]Present address: Shenzhen Jingtai Technology Co., Ltd. Shenzhen China
                Author notes
                [*] [* ] Corresponding author. Tel: +31 71 526 9271; E‐mail: p.ten_dijke@ 123456lumc.nl

                Corresponding author. Tel: +31 71 52 66989; E‐mail: t.zhang@ 123456lumc.nl

                Author information
                https://orcid.org/0000-0002-0137-6902
                https://orcid.org/0000-0002-6195-4356
                https://orcid.org/0000-0002-5343-1352
                https://orcid.org/0000-0003-1781-5508
                https://orcid.org/0000-0002-1187-3048
                https://orcid.org/0000-0002-9310-4110
                https://orcid.org/0000-0002-0814-4995
                https://orcid.org/0000-0003-0427-9953
                https://orcid.org/0000-0002-7234-342X
                Article
                EMBJ2021110553
                10.15252/embj.2021110553
                9841337
                36504224
                6ba375c8-0ea3-42a0-80db-e375faa3e001
                © 2022 The Authors. Published under the terms of the CC BY NC ND 4.0 license.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 09 November 2022
                : 29 December 2021
                : 14 November 2022
                Page count
                Figures: 14, Tables: 0, Pages: 34, Words: 22276
                Funding
                Funded by: Cancer Genomics Centre (CGC) , doi 10.13039/100008470;
                Funded by: Chinese Scholarship Council
                Funded by: ZonMw (Netherlands Organisation for Health Research and Development) , doi 10.13039/501100001826;
                Award ID: 09120012010061
                Categories
                Article
                Articles
                Custom metadata
                2.0
                16 January 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.3 mode:remove_FC converted:16.01.2023

                Molecular biology
                epithelial‐mesenchymal transition,glycosphingolipids,st3gal5,transforming growth factor‐β,udp‐glucose ceramide glucosyltransferase,cancer,signal transduction

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