Comparative analysis of iPSC-derived human kidney organoid and tubuloid models

BackgroundEpithelial kidney organoids (tubuloids) made from kidney biopsies, urine, or iPSC-derived kidney organoids offer new opportunities in experimental and clinical nephrology. Yet, we have limited knowledge of how tubuloid models differ from each other, from iPSC-derived kidney organoids and from the human kidney. New insight is required to guide model selection for studies in kidney physiology and disease. MethodsTubuloids were generated from adult nephrectomy samples (adult tubuloids n=3), iPSC-derived kidney organoids (iTubuloids n=3), and for the first time, from human fetal kidneys (fetal tubuloids n=3). Kidney organoid and tubuloid models were compared to each other and to adult human kidney using bulk RNA sequencing. Tubuloids were subject to hypoxic insults over three passages and profiled with RNA sequencing to assess cumulative injury and repair. ResultsExpression signatures of proximal and distal tubules were stronger in adult kidneys than any organoid or tubuloid model. Comparative analysis between the models revealed that iPSC-derived kidney organoids had the highest expression of proximal tubule markers, even though adult tubuloids were derived from mature kidneys. Collecting duct signatures were enriched in adult and fetal tubuloids. Adult tubuloids showed stronger signatures of ageing and inflammation, while fetal tubuloids had enhanced ureteric tip progenitor signatures. Over 80 genes linked to inherited disorders were expressed in all tubuloid cultures, while a further 54 were expressed at higher levels in either adult, fetal or iTubuloids. Tubuloids subject to a single hypoxic injury effectively recovered by the end of the passage, while iTubuloids exposed to hypoxia over three passages expressed markers of maladaptive repair. ConclusionsThis study provides new transcriptome-wide reference data to aid in the selection and optimization of disease modelling for the human kidney. It defines common and unique opportunities to model inherited disorders in adult, fetal and iTubuloid models and illustrates new potential to model repetitive injury in long-lived tubuloid cultures.