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A cross model spatial and single-cell atlas reveals the conserved involvement of osteopontin in polycystic kidney disease

GSE298379 Mus musculus Expression profiling by high throughput sequencing 5 samples Submitted 2026/06/15 Platform GPL30172
Summary
Polycystic kidney disease (PKD) arises from mutations in cilia-associated genes, such as PKD1 and PKD2, expressed in renal epithelial cells, leading to progressive kidney dysfunction and end-stage kidney disease (ESKD). To elucidate the cellular and molecular consequences of these mutations, we constructed an integrated single-cell and spatial transcriptomics atlas across mouse models of PKD, mapping changes in cell type composition, gene expression, and intercellular signaling networks. Single-cell and spatial transcriptomics revealed elevated Spp1 (osteopontin) expression enhanced signaling interactions with macrophages and fibroblasts in cystic niches. Whereas deletion of Spp1 increased cyst severity in the Ift88 model, it reduced PKD severity in the orthologous Pkd1RC/RC model, concurrent with model-specific differences in Spp1 cell type expression and communication partners. We also found increased SPP1 expression and signaling in single-cell RNA sequencing data from autosomal dominant PKD (ADPKD) patients, highlighting cross-species conservation. Together, our integrated atlas identified conserved intercellular signaling networks within cystic niches, including SPP1, offering insights into PKD pathogenesis and potential therapeutic targets.Conclusion: Collectively, our data indicate that tVNS improves HFpEF by reducing Spp1 expressing CCR2+ CRM and inducing expression of pro-reparative Igf1 in TLF+/MHC2+ CRM. These effects are mediated through cholinergic signaling, highlighting a neuroimmune pathway in HFpEF.
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Direct links to NCBI, no account and no request form: the whole study as GSE298379_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 5 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1269046 and SRA study SRP588365. Searching any of these in the dataset finder brings you back here.

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