ArticleMethods in molecular biology (Clifton, N.J.)2022
Transcytosis of Galectin-3 in Mouse Intestine.
Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed, 3 citations in OpenAlex.
- Spatial N-glycan rearrangement on αNature communications · 2025Article
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6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The GlycoLipid-Lectin (GL-Lect) hypothesis provides a conceptual framework to explain how endocytic pits are built in processes of clathrin-independent endocytosis. According to this hypothesis, oligomeric cellular or pathogenic lectins interact with glycosylated plasma membrane lipids in a way such as to drive the formation of tubular endocytic pits that then detach to generate clathrin-independent endocytic carriers for the cellular uptake of cellular or pathogenic products. This process operates in a complementary manner to the conventional clathrin pathway for biological function linked to cell polarity. Up to date, the premises of the GL-Lect hypothesis have been based on model membrane and cell culture experiments. It has therefore become urgent to extend its exploration to complex organisms. In the current protocol, we describe methods to study the endocytosis and transcytosis of a key driver of the GL-Lect mechanism, the cellular galectin-3, and of one of its cargoes, lactotransferrin, in enterocytes of the intact jejunum of mice. In a step-by-step manner, we present the generation of fluorescent endocytic ligands, tissue preparation for cellular uptake measurements, binding and internalization assays, tissue fixation and preparation for sectioning, light and electron microscopical observations, and quantification of data by image processing. Pitfalls are discussed to optimize the chances of success with the described methods.
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