| Literature DB >> 31155155 |
Victor G Puelles1, David Fleck2, Lena Ortz3, Stella Papadouri3, Thiago Strieder3, Alexander M C Böhner4, James W van der Wolde5, Michael Vogt6, Turgay Saritas3, Christoph Kuppe3, Astrid Fuss3, Sylvia Menzel3, Barbara M Klinkhammer7, Gerhard Müller-Newen8, Felix Heymann9, Leon Decker3, Fabian Braun10, Oliver Kretz10, Tobias B Huber10, Etsuo A Susaki11, Hiroki R Ueda12, Peter Boor7, Jürgen Floege3, Rafael Kramann3, Christian Kurts4, John F Bertram5, Marc Spehr2, David J Nikolic-Paterson13, Marcus J Moeller14.
Abstract
Recent developments in optical tissue clearing have been difficult to apply for the morphometric analysis of organs with high cellular content and small functional structures, such as the kidney. Here, we establish combinations of genetic and immuno-labelling for single cell identification, tissue clearing and subsequent de-clarification for histoimmunopathology and transmission electron microscopy. Using advanced light microscopy and computational analyses, we investigated a murine model of crescentic nephritis, an inflammatory kidney disease typified by immune-mediated damage to glomeruli leading to the formation of hypercellular lesions and the rapid loss of kidney function induced by nephrotoxic serum. Results show a graded susceptibility of the glomeruli, significant podocyte loss and capillary injury. These effects are associated with activation of parietal epithelial cells and formation of glomerular lesions that may evolve and obstruct the kidney tubule, thereby explaining the loss of kidney function. Thus, our work provides new high-throughput endpoints for the analysis of complex tissues with single-cell resolution.Entities:
Keywords: computational analysis; crescentic nephritis; optical clearing; parietal cell activation; podocyte loss
Year: 2019 PMID: 31155155 DOI: 10.1016/j.kint.2019.02.034
Source DB: PubMed Journal: Kidney Int ISSN: 0085-2538 Impact factor: 10.612