Blue B Lake, Rajasree Menon, Seth Winfree, Qiwen Hu, Ricardo Melo Ferreira, Kian Kalhor, Daria Barwinska, Edgar A Otto, Michael Ferkowicz, Dinh Diep, Nongluk Plongthongkum, Amanda Knoten, Sarah Urata, Laura H Mariani, Abhijit S Naik, Sean Eddy, Bo Zhang, Yan Wu, Diane Salamon, James C Williams, Xin Wang, Karol S Balderrama, Paul J Hoover, Evan Murray, Jamie L Marshall, Teia Noel, Anitha Vijayan, Austin Hartman, Fei Chen, Sushrut S Waikar, Sylvia E Rosas, Francis P Wilson, Paul M Palevsky, Krzysztof Kiryluk, John R Sedor, Robert D Toto, Chirag R Parikh, Eric H Kim, Rahul Satija, Anna Greka, Evan Z Macosko, Peter V Kharchenko, Joseph P Gaut, Jeffrey B Hodgin, Michael T Eadon, Pierre C Dagher, Tarek M El-Achkar, Kun Zhang, Matthias Kretzler, Sanjay Jain
Understanding kidney disease relies on defining the complexity of cell types and states, their associated molecular profiles and interactions within tissue neighbourhoods1 . Here we applied multiple single-cell and single-nucleus assays (>400,000 nuclei or cells) and spatial imaging technologies to a broad spectrum of healthy reference kidneys (45 donors) and diseased kidneys (48 patients). This has provided a high-resolution cellular atlas of 51 main cell types, which include rare and previously undescribed cell populations...
July 2023: Nature