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Single-cell multi-omic and spatial profiling of human kidneys implicates the fibrotic microenvironment in kidney disease progression

Amin Abedini, Jonathan Levinsohn, Konstantin A. Klötzer, Bernhard Dumoulin, Ziyuan Ma, Julia Frederick, Poonam Dhillon, Michael S. Balzer, Rojesh Shrestha, Hongbo Liu, Steven Vitale, Andi M. Bergeson, Kishor Devalaraja‐Narashimha, Paola Grandi, Tanmoy Bhattacharyya, Erding Hu, Steven S. Pullen, Carine M. Boustany‐Kari, Paolo Guarnieri, Anil Karihaloo, Daniel Traum, Hanying Yan, Kyle Coleman, Matthew Palmer, Lea Sarov‐Blat, Lori Morton, Christopher A. Hunter, Klaus H. Kaestner, Mingyao Li, Katalin Suszták

2024Nature Genetics148 citationsDOIOpen Access PDF

Topics & Concepts

BiologyProfiling (computer programming)Kidney diseaseDiseaseComputational biologyCellKidneyHuman diseasePathologyGeneticsGeneEndocrinologyMedicineComputer scienceOperating systemSingle-cell and spatial transcriptomicsRenal and Vascular PathologiesHealth, Environment, Cognitive Aging
Single-cell multi-omic and spatial profiling of human kidneys implicates the fibrotic microenvironment in kidney disease progression | Litcius