A comparative scRNAseq data analysis to match mouse models with human kidney disease at the molecular level

Journal Article Corrected proof A comparative scRNAseq data analysis to match mouse models with human kidney disease at the molecular level Get access Kathrien Abdank, Kathrien Abdank Department of Nephrology and Medical Intensive Care, Charité – Universitätsmedizin Berlin, Berlin, Germany Search for other works by this author on: Oxford Academic PubMed Google Scholar Sena Zeynep Cetin, Sena Zeynep Cetin Department of Nephrology and Medical Intensive Care, Charité – Universitätsmedizin Berlin, Berlin, Germany https://orcid.org/0000-0001-7156-7723 Search for other works by this author on: Oxford Academic PubMed Google Scholar Amin Abedini, Amin Abedini Renal, Electrolyte, and Hypertension Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USAInstitute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA Search for other works by this author on: Oxford Academic PubMed Google Scholar Katalin Susztak, Katalin Susztak Renal, Electrolyte, and Hypertension Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USAInstitute for Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA Search for other works by this author on: Oxford Academic PubMed Google Scholar Kai-Uwe Eckardt, Kai-Uwe Eckardt Department of Nephrology and Medical Intensive Care, Charité – Universitätsmedizin Berlin, Berlin, Germany https://orcid.org/0000-0003-3823-0920 Search for other works by this author on: Oxford Academic PubMed Google Scholar Michael S Balzer Michael S Balzer Department of Nephrology and Medical Intensive Care, Charité – Universitätsmedizin Berlin, Berlin, GermanyBerlin Institute of Health at Charité – Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité Clinician Scientist Program, Berlin, Germany Correspondence to: Michael S. Balzer; E-mail: michael-soeren.balzer@charite.de; Twitter: @ms_balzer; GitHub: https://github.com/ms-balzer https://orcid.org/0000-0003-0508-1260 Search for other works by this author on: Oxford Academic PubMed Google Scholar Nephrology Dialysis Transplantation, gfae030, https://doi.org/10.1093/ndt/gfae030 Published: 06 February 2024 Article history Received: 12 December 2023 Published: 06 February 2024 Corrected and typeset: 27 February 2024