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Intrinsic hepatocyte dedifferentiation is accompanied by upregulation of mesenchymal markers, protein sialylation and core alpha 1,6 linked fucosylation
Journal article   Open access   Peer reviewed

Intrinsic hepatocyte dedifferentiation is accompanied by upregulation of mesenchymal markers, protein sialylation and core alpha 1,6 linked fucosylation

Anand Mehta, Mary Ann Comunale, Siddhartha Rawat, Jessica C. Casciano, Jason Lamontagne, Harmin Herrera, Aarti Ramanathan, Lucy Betesh, Mengjun Wang, Pamela Norton, …
Scientific reports, v 6(1), pp 27965-27965
22 Jun 2016
PMID: 27328854
url
https://doi.org/10.1038/srep27965View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Multidisciplinary Sciences Science & Technology Science & Technology - Other Topics
Alterations in N-linked glycosylation have long been associated with cancer but for the most part, the reasons why have remained poorly understood. Here we show that increased core fucosylation is associated with de-differentiation of primary hepatocytes and with the appearance of markers indicative of a transition of cells from an epithelial to a mesenchymal state. This increase in core fucosylation was associated with increased levels of two enzymes involved in alpha-1,6 linked fucosylation, GDP-mannose 4, 6-dehydratase (Gmds) and to a lesser extent fucosyltransferase 8 (Fut8). In addition, the activation of cancer-associated cellular signaling pathways in primary rat hepatocytes can increase core fucosylation and induce additional glycoform alterations on hepatocyte proteins. Specifically, we show that increased levels of protein sialylation and alpha-1,6-linked core fucosylation are observed following activation of the beta-catenin pathway. Activation of the Akt signaling pathway or induction of hypoxia also results in increased levels of fucosylation and sialylation. We believe that this knowledge will help in the better understanding of the genetic factors associated with altered glycosylation and may allow for the development of more clinically relevant biomarkers.

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Web of Science research areas
Biochemistry & Molecular Biology
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