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Multiomics profiling of mouse polycystic kidney disease progression at a single-cell resolution.

Authors :
Yoshiharu Muto
Yasuhiro Yoshimura
Haojia Wu
Chang-Panesso, Monica
Ledru, Nicolas
Woodward, Owen M.
Outeda, Patricia
Tao Cheng
Mahjoub, Moe R.
Watnick, Terry J.
Humphreys, Benjamin D.
Source :
Proceedings of the National Academy of Sciences of the United States of America. 10/22/2024, Vol. 121 Issue 43, p1-12. 54p.
Publication Year :
2024

Abstract

Autosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary kidney disease and causes significant morbidity, ultimately leading to kidney failure. PKD pathogenesis is characterized by complex and dynamic alterations in multiple cell types during disease progression, hampering a deeper understanding of disease mechanism and the development of therapeutic approaches. Here, we generate a single-nucleus multimodal atlas of an orthologous mouse PKD model at early, mid, and late timepoints, consisting of 125,434 single-nucleus transcriptomic and epigenetic multiomes. We catalog differentially expressed genes and activated epigenetic regions in each cell type during PKD progression, characterizing cell-type-specific responses to Pkd1 deletion. We describe heterogeneous, atypical collecting duct cells as well as proximal tubular cells that constitute cyst epithelia in PKD. The transcriptional regulation of the cyst lining cell marker GPRC5A is conserved between mouse and human PKD cystic epithelia, suggesting shared gene regulatory pathways. Our single-nucleus multiomic analysis of mouse PKD provides a foundation to understand the earliest changes molecular deregulation in a mouse model of PKD at a single-cell resolution. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
121
Issue :
43
Database :
Academic Search Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
180479154
Full Text :
https://doi.org/10.1073/pnas.2410830121