Aug 2026· iScience· Vol 29· 0 citations· 90 references
Medicine
TL;DR
Automated renal tubule and cyst quantification (ARTCyQ), a novel machine-learning pipeline to analyze immunofluorescent stainings, revealed increasing ambiguity in nephron segment identity and activation of ADPKD-related pathways, including YAP signaling.
Abstract
Summary Autosomal dominant polycystic kidney disease (ADPKD) arises from mutations in polycystin-1/PKD1 or polycystin-2/PKD2 that induce injury-repair pathways and dysregulate cAMP and Yes-associated protein (YAP) signaling to promote cyst growth. Cystic kidneys with elevated cAMP levels also develop in mouse embryos lacking the BicC family RNA-binding protein 1 (Bicc1). To prevent embryonic lethality, we flanked Bicc1 exon 4 with loxP sites for conditional knockout (cKO) in renal tubules using inducible Pax8-rtTA-driven Cre in adults, or distal segment-specific deletion in utero using Ksp-Cre. Whereas Bicc1-deficient adult kidneys formed relatively few cysts within six months, distal nephron-specific deletion induced aggressive PKD-like disease. Automated renal tubule and cyst quantification (ARTCyQ), a novel machine-learning pipeline to analyze immunofluorescent stainings, revealed increasing ambiguity in nephron segment identity and activation of ADPKD-related pathways, including YAP signaling. Accordingly, transcriptional profiling revealed overlap with PKD and injury-repair signatures, supporting a role for Bicc1 in polycystin signaling.
Autosomal dominant polycystic kidney disease (ADPKD) accounts for 5%–10% of prevalent end-stage kidney failure (ESKD). ADPKD cysts result from a loss of sufficient functional expression of PKD1/Polycystin-1 (PC1) in approximately 80% of families. Kidney disease severity correlates with the extent to which PC1 dosage is...
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