Single-cell and Spatial Mapping Identify Cell Types and Signaling Networks in the Human Ureter
Overview
Reproductive Medicine
Authors
Affiliations
Tissue engineering offers a promising treatment strategy for ureteral strictures, but its success requires an in-depth understanding of the architecture, cellular heterogeneity, and signaling pathways underlying tissue regeneration. Here, we define and spatially map cell populations within the human ureter using single-cell RNA sequencing, spatial gene expression, and immunofluorescence approaches. We focus on the stromal and urothelial cell populations to enumerate the distinct cell types composing the human ureter and infer potential cell-cell communication networks underpinning the bi-directional crosstalk between these compartments. Furthermore, we analyze and experimentally validate the importance of the sonic hedgehog (SHH) signaling pathway in adult progenitor cell maintenance. The SHH-expressing basal cells support organoid generation in vitro and accurately predict the differentiation trajectory from basal progenitor cells to terminally differentiated umbrella cells. Our results highlight the essential processes involved in adult ureter tissue homeostasis and provide a blueprint for guiding ureter tissue engineering.
Santo B, Fink E, Krylova A, Lin Y, Eltemamy M, Wee A iScience. 2025; 28(1):111628.
PMID: 39850354 PMC: 11754086. DOI: 10.1016/j.isci.2024.111628.
Straube P, Beckers A, Jany U, Bergmann F, Ludtke T, Rudat C Development. 2025; 152(3).
PMID: 39817691 PMC: 11829765. DOI: 10.1242/dev.204214.
scEGG: an exogenous gene-guided clustering method for single-cell transcriptomic data.
Hu D, Guan R, Liang K, Yu H, Quan H, Zhao Y Brief Bioinform. 2024; 25(6).
PMID: 39344711 PMC: 11440090. DOI: 10.1093/bib/bbae483.
Lee S, Bondaruk J, Wang Y, Chen H, Lee J, Majewski T Cell Rep. 2024; 43(5):114146.
PMID: 38676926 PMC: 11265536. DOI: 10.1016/j.celrep.2024.114146.
Li H, Li D, Ledru N, Xuanyuan Q, Wu H, Asthana A Cell Metab. 2024; 36(5):1105-1125.e10.
PMID: 38513647 PMC: 11081846. DOI: 10.1016/j.cmet.2024.02.015.