Spatiotemporal transcriptomic analysis during cold ischemic injury to the murine kidney reveals compartment-specific changes
Year: 2026
Type: article
Abstract: BACKGROUND: Kidney transplantation is the preferred treatment strategy for end-stage kidney disease. Deceased donor kidneys usually undergo cold storage until kidney transplantation, leading to cold ischemia injury that may contribute to poor graft outcomes. However, the molecular characterization of potential mechanisms of cold ischemia injury remains incomplete. RESULTS: To bridge this knowledge gap, we leverage 10x Visium spatial transcriptomic technology to perform full transcriptome profiling of murine kidneys subject to varying durations of cold ischemia typical in a deceased donor kidney transplant setting. We develop a computational workflow to identify and compare spatiotemporal transcriptomic changes that accompany the injury pathophysiology in a tissue compartment-specific manner. We identify proportional enrichment of oxidative phosphorylation (OXPHOS) genes with increasing duration of cold ischemia injury within the oxygen-lean inner medulla region, suggestive of atypical metabolic presentation. This is distinct in cold ischemia injury tissue compared to warm ischemia-reperfusion kidney injury tissue. Spatiotemporal trends are validated by qPCR and immunofluorescence in a larger cohort of mice. CONCLUSIONS: Altogether, our spatiotemporal transcriptomic analysis identifies coordinated molecular changes within metabolic pathways such as OXPHOS deep within the cold ischemic kidney, highlighting the need for increased attention to the inner medulla and potential opportunities for new insights beyond those available from superficial biopsy-focused tissue examination.
Source: Genome biology
Institution: Johns Hopkins University
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $5,490
Awards: Acute kidney injury and microbiome, CAREER: Statistical approaches and computational tools for analyzing spatially-resolved single-cell transcriptomics data, Computational methods for delineating subcellular and cellular spatial transcriptional heterogeneity along developmental trajectories, G5825748319, G8059682227, Johns Hopkins O'Brien Center to Advance Kidney Health , TIGIT in acute kidney injury and repair
OpenAlex ID: W4410838742
