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Mercier, V.

Publications and source records attributed to Mercier, V..

2 recordsLinked to original sources

Cyclodextrin triggers MCOLN1-dependent endo-lysosome secretion in Niemann-Pick type C cells

In specialized cell types, lysosome-related organelles support regulated secretory pathways, while in non-specialized cells, lysosomes can undergo fusion with the plasma membrane in response to a transient rise in cytosolic calcium. Recent evidence also indicates that lysosome secretion can be controlled transcriptionally and promote clearance in lysosome storage diseases. In addition, evidence is also accumulating that low concentrations of cyclodextrins reduce the cholesterol storage phenotype in cells and animals with the cholesterol storage disease Niemann-Pick type C, via an unknown mechanism. Here, we report that cyclodextrin triggers the secretion of the endo/lysosomal content in non-specialized cells, and that this mechanism is responsible for the decreased cholesterol overload in Niemann-Pick type C cells. We also find that that the secretion of the endo/lysosome content occurs via a mechanism dependent on the endosomal calcium channel MCOLN1, as well as FYCO1, the AP1 adaptor and its partner Gadkin. We conclude that endolysosomes in non-specialized cells can acquire secretory functions elicited by cyclodextrin, and that this pathway is responsible for the decrease in cholesterol storage in Niemann-Pick C cells.

cell biology

LimeSeg: A coarsed-grained lipid membrane simulation for 3D image segmentation

Bioimage analysis is an important preliminary step required for data representation and quantitative studies. To carry out these tasks, we developed LimeSeg, an easy-to-use, efficient and modular 3D image segmentation method. Based on the idea of SURFace ELements, LimeSeg resembles a highly coarse-grained simulation of a lipid membrane in which a set of particles, analogous to lipid molecules, are attracted to local image maxima. The particles are self-generating and self-destructing thus providing the ability for the membrane to evolve towards the contour of the object of interest. We characterize the emergent mechanical properties of this system and show how it can be used to segment many 3D objects from numerous types of image of biological samples (brain MRI, cell epithelium, cellular organelles). LimeSeg is available as a Fiji plugin that includes simple commands, a 3D visualizer, and customization options via ImageJ scripting.

bioinformatics