
Explore our Single-cell RNA-Seq Data with Nephrocell
Nephrocell is a web application for querying gene expression levels across our collection of human kidney and human kidney organoid single-cell datasets generated by the Michigan Kidney Translational Medicine Core (MiKTMC).
Nephrocell data has been featured in a recent JCI Insight article.
RESEARCH NEWS
Simons Foundation highlights our COVID-19 work
Michigan Health Lab features our COVID-19 research
Dr. Kretzler co-leads Kidney-chip testing with UW School of Medicine
amfAR Funds Dr. Matthias Kretzler’s Crucial Research on New Treatments for COVID-19
NeuroNetwork for Emerging Therapies Mini Symposium: Complications of COVID-19
Recent Publications
Urinary Single-Cell Profiling Captures the Cellular Diversity of the Kidney
Urinary Single-Cell Profiling Captures the Cellular Diversity of the Kidney
Microscopic analysis of urine sediment is probably the most commonly used diagnostic procedure in nephrology. The urinary cells, however, have not yet undergone careful unbiased characterization.
Nephrotic syndrome disease activity is proportional to its associated hypercoagulopathy
Nephrotic syndrome disease activity is proportional to its associated hypercoagulopathy
Nephrotic syndrome (NS) is associated with an acquired hypercoagulopathy that drives its strong predilection for life-threatening thrombosis. We previously demonstrated that hypercoagulopathy is proportional to NS disease severity in animal models. Therefore, hypercoagulopathy and disease severity may inform thrombosis risk and better guide therapeutic decision making. The objective of this study was thus to establish the relationship between disease severity and hypercoagulopathy in human NS.
Large-scale, three-dimensional tissue cytometry of the human kidney: a complete and accessible pipeline
Large-scale, three-dimensional tissue cytometry of the human kidney: a complete and accessible pipeline
The advent of personalized medicine has driven the development of novel approaches for obtaining detailed cellular and molecular information from clinical tissue samples. Tissue cytometry is a promising new technique that can be used to enumerate and characterize each cell in a tissue and, unlike flow cytometry and other single-cell techniques, does so in the context of the intact tissue, preserving spatial information that is frequently crucial to understanding a cell's physiology, function, and behavior. However, the wide-scale adoption of tissue cytometry as a research tool has been limited by the fact that published examples utilize specialized techniques that are beyond the capabilities of most laboratories. Here we describe a complete and accessible pipeline, including methods of sample preparation, microscopy, image analysis, and data analysis for large-scale three-dimensional tissue cytometry of human kidney tissues. In this workflow, multiphoton microscopy of unlabeled tissue is first conducted to collect autofluorescence and second-harmonic images. The tissue is then labeled with eight fluorescent probes, and imaged using spectral confocal microscopy. The raw 16-channel images are spectrally deconvolved into 8-channel images, and analyzed using the Volumetric Tissue Exploration and Analysis (VTEA) software developed by our group. We applied this workflow to analyze millimeter-scale tissue samples obtained from human nephrectomies and from renal biopsies from individuals diagnosed with diabetic nephropathy, generating a quantitative census of tens of thousands of cells in each. Such analyses can provide useful insights that can be linked to the biology or pathology of kidney disease. The approach utilizes common laboratory techniques, is compatible with most commercially-available confocal microscope systems and all image and data analysis is conducted using the VTEA image analysis software, which is available as a plug-in for ImageJ.
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