Stepwise developmental mimicry generates proximal-biased kidney organoids
Schnell, J.; Miao, Z.; Achieng, M.; Fausto, C. C.; Wang, V.; De Kuyper, F.; Thornton, M. E.; Grubbs, B.; Kim, J.; Lindstrom, N. O.
Show abstract
The kidney maintains body fluid homeostasis by reabsorbing essential compounds and excreting waste. Proximal tubule cells, crucial for renal reabsorption of a range of sugars, ions, and amino acids, are highly susceptible to damage, leading to pathologies necessitating dialysis and kidney transplants. While human pluripotent stem cell-derived kidney organoids are used for modeling renal development, disease, and injury, the formation of proximal nephron cells in these 3D structures is incomplete. Here, we describe how to drive the development of proximal tubule precursors in kidney organoids by following a blueprint of in vivo human nephrogenesis. Transient manipulation of the PI3K signaling pathway activates Notch signaling in the early nephron and drives nephrons toward a proximal precursor state. These "proximal-biased" (PB) organoid nephrons proceed to generate proximal nephron precursor cells. Single-cell transcriptional analyses across the organoid nephron differentiation, comparing control and PB types, confirm the requirement of transient Notch signaling for proximal development. Indicative of functional maturity, PB organoids demonstrate dextran and albumin uptake, akin to in vivo proximal tubules. Moreover, PB organoids are highly sensitive to nephrotoxic agents, display an injury response, and drive expression of HAVCR1/KIM1, an early proximal-specific marker of kidney injury. Injured PB organoids show evidence of collapsed tubules, DNA damage, and upregulate the injury-response marker SOX9. The PB organoid model therefore has functional relevance and potential for modeling mechanisms underpinning nephron injury. These advances improve the use of iPSC-derived kidney organoids as tools to understand developmental nephrology, model disease, test novel therapeutics, and for understanding human renal physiology.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Enriched Single-Nucleus RNA-Sequencing reveals unique attributes of distal convoluted tubule cells 97%
- Reduced nephron endowment in the common Six2-TGCtg mouse line is due to Six3 misexpression by aberrant enhancer-promoter interactions in the transgene 96%
- Tubular STAT3 limits renal inflammation in autosomal dominant polycystic kidney disease 96%
Similar papers in this journal
- Axial Nephron Fate Switching Demonstrates a Plastic System Tunable on Demand 98%
- Single-cell profiling of healthy human kidney reveals features of sex-based transcriptional programs and tissue-specific immunity 97%
- Defining cellular complexity in human autosomal dominant polycystic kidney disease by multimodal single cell analysis 97%
Similar papers in this journal
Similar papers in this journal
- Tfap2a is a novel gatekeeper of differentiation in renal progenitors during kidney development 95%
- Human pluripotent stem cell-derived kidney organoids for personalized congenital and idiopathic nephrotic syndrome modeling 95%
- Netrin-1 directs vascular patterning and maturity in the developing kidney 94%
Similar papers in this journal
- Kidney organoids: A system to study human basement membrane assembly in health and disease 96%
- Ferroptotic stress promotes the accumulation of pro-inflammatory proximal tubular cells in maladaptive renal repair 96%
- Inactivation of Nphp2 in renal epithelial cells drives infantile nephronophthisis like phenotypes in mouse 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.