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Increasing the information depth of single kidney biopsies can improve diagnostic precision, personalized medicine and accelerate basic kidney research. Until now, information on mRNA abundance and morphologic analysis has been obtained from different samples, missing out on the spatial context and single-cell correlation of findings. Herein, we present scoMorphoFISH, a modular toolbox to obtain spatial single-cell single-mRNA expression data from routinely generated kidney biopsies. Deep learning was used to virtually dissect tissue sections in tissue compartments and cell types to which single-cell expression data were assigned. Furthermore, we show correlative and spatial single-cell expression quantification with super-resolved podocyte foot process morphometry. In contrast to bulk analysis methods, this approach will help to identify local transcription changes even in less frequent kidney cell types on a spatial single-cell level with single-mRNA resolution. Using this method, we demonstrate that ACE2 can be locally upregulated in podocytes upon injury. In a patient suffering from COVID-19-associated collapsing FSGS, ACE2 expression levels were correlated with intracellular SARS-CoV-2 abundance. As this method performs well with standard formalin-fixed paraffin-embedded samples and we provide pretrained deep learning networks embedded in a comprehensive image analysis workflow, this method can be applied immediately in a variety of settings.
The global prevalence of kidney diseases has been steadily rising over the last decades. Today, around 10% of the world population suffers from relevant chronic kidney disease. Podocytes are highly specialized and terminally differentiated cells residing in the filtering units of the kidneys, the so-called glomeruli. With their interdigitating foot-processes, these cells are a crucial part of the renal filtration barrier. As podocytes are post-mitotic, injury or loss of these cells results in an impairment of the filtration barrier with subsequent loss of global kidney function. Therefore, the question whether a relevant amount of podocytes can be regenerated and if this regeneration can be influenced is crucial for future therapeutic developments. As in vivo microscopic imaging of podocytes in higher animals like mice or rats is rather challenging, larval zebrafish have been applied as an animal model for podocyte development and kidney filtration. 48 hours post fertilization, zebrafish larvae develop a single filtering glomerulus with a similar morphology and molecular construction to that in mammals. For evaluation of podocyte morphology and filtration, we used transgenic zebrafish strains in which podocytes were labeled with fluorescence proteins. Additionally, podocytes expressed the bacterial enzyme nitroreductase fused to the fluorescence protein mCherry. In this model, application of the antibiotic metronidazole leads to podocyte-specific cell death. Through cross-breeding we established strains that additionally express an eGFP-labeled protein in the blood plasma. Using in vivo two-photon microscopy, we could image podocyte-loss induced impairments of the glomerular filtration barrier. Additionally, we tracked characteristic morphological changes of podocyte morphology including podocyte foot process effacement, development of sub-podocyte pseudocysts and finally detachment of whole cells from the glomerular basement membrane. These changes have been before described histologically in different animal models as well as in patient biopsies. Using the in vivo microscopy approach, we could clearly describe the temporal sequence of these alterations. Finally, we also tracked individual, non-detached podocytes over up to 24 hours, and found that these cells were non-migratory. These results show that early podocyte-regeneration through immigration of intra- or extraglomerular cells is unlikely within the first 24 hours of acute glomerular injury.