| Literature DB >> 31828357 |
Petra Kranaster1,2, Christiaan Karreman1, Jeremias E G A Dold2,3, Alice Krebs1,2, Melina Funke1, Anna-Katharina Holzer1, Stefanie Klima1,4, Johanna Nyffeler1,5, Stefan Helfrich6,7, Valentin Wittmann2,3, Marcel Leist8,9.
Abstract
While there are many methods to quantify the synthesis, localization, and pool sizes of proteins and DNA during physiological responses and toxicological stress, only few approaches allow following the fate of carbohydrates. One of them is metabolic glycoengineering (MGE), which makes use of chemically modified sugars (CMS) that enter the cellular biosynthesis pathways leading to glycoproteins and glycolipids. The CMS can subsequently be coupled (via bio-orthogonal chemical reactions) to tags that are quantifiable by microscopic imaging. We asked here, whether MGE can be used in a quantitative and time-resolved way to study neuronal glycoprotein synthesis and its impairment. We focused on the detection of sialic acid (Sia), by feeding human neurons the biosynthetic precursor N-acetyl-mannosamine, modified by an azide tag. Using this system, we identified non-toxic conditions that allowed live cell labeling with high spatial and temporal resolution, as well as the quantification of cell surface Sia. Using combinations of immunostaining, chromatography, and western blotting, we quantified the percentage of cellular label incorporation and effects on glycoproteins such as polysialylated neural cell adhesion molecule. A specific imaging algorithm was used to quantify Sia incorporation into neuronal projections, as potential measure of complex cell function in toxicological studies. When various toxicants were studied, we identified a subgroup (mitochondrial respiration inhibitors) that affected neurite glycan levels several hours before any other viability parameter was affected. The MGE-based neurotoxicity assay, thus allowed the identification of subtle impairments of neurochemical function with very high sensitivity.Entities:
Keywords: Confocal imaging; Cytotoxicity; Metabolic glycoengineering; Neurite integrity; Neurotoxicity; Sialic acid
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Year: 2019 PMID: 31828357 DOI: 10.1007/s00204-019-02642-z
Source DB: PubMed Journal: Arch Toxicol ISSN: 0340-5761 Impact factor: 5.153