Evidence map›Paper›PMID 40501673›Full record

ArticlebioRxiv : the preprint server for biology2025

Spatiotemporal transcriptomic analysis during cold ischemic injury to the murine kidney reveals compartment-specific changes.

Srujan Singh, Shishir Kumar Patel, Ryo Matsuura, Dee Velazquez, Zhaoli Sun, Sanjeev Noel, Hamid Rabb, Jean Fan

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Srujan SinghCenter for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0002-7498-4298
Shishir Kumar PatelDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0002-2867-2293
Ryo MatsuuraDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0003-4936-4852
Dee VelazquezCenter for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0009-0004-4380-4794
Zhaoli SunDepartment of Surgery, Johns Hopkins University, Baltimore, Maryland, USA.
Sanjeev NoelDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0001-9818-1177
Hamid RabbDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0002-4761-1103
Jean FanCenter for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0002-0212-5451

Funding

Resource Development CoreU54DK137331 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI JOSEF CORESH · 2023 to 2026
$4.3M
Acute kidney injury and microbiomeR01DK123342 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI RABB, HAMID · 2020 to 2024
$3.0M
Computational methods for delineating subcellular and cellular spatial transcriptional heterogeneity along developmental trajectoriesR35GM142889 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI FAN, JEAN · 2021 to 2025
$2.0M
TIGIT in acute kidney injury and repairR01DK132278 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Sanjeev Noel · 2023 to 2026
$1.9M
NIDDK NIH HHS R01 DK123342NIDDK NIH HHS R01 DK132278NIDDK NIH HHS U54 DK137331NIGMS NIH HHS R35 GM142889
6 · The paper itself

Abstract

Kidney transplantation is the gold standard treatment strategy for end-stage renal 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. To bridge this knowledge gap, we leveraged spatial transcriptomics technology to perform full transcriptome characterization of cold ischemia injury (0-48 hours) using a murine model. We developed a computational workflow to identify spatiotemporal transcriptomic changes that accompany the injury pathophysiology in a compartment-specific manner. We identified potential metabolic reprogramming preferentially within the kidney inner medulla displaying strong oxidative phosphorylation signature in an ischemic environment. We found commonalities between the spatiotemporal transcriptomic presentation of cold ischemia and warm ischemia‒reperfusion injury, including an induction of an anti-viral like immune response throughout the renal tissue. Altogether, these systems-level biological insights enabled by our full transcriptome temporal characterization unveil a molecular basis for how cold ischemia injury may negatively affect kidney outcomes. Moreover, our spatial analyses highlight pathological developments deep within the renal tissue, suggesting potential opportunities for new insights beyond biopsy-focused superficial tissue examinations. We also developed an interactive online browser at https://jef.works/vitessce-cold-ischemia/ to facilitate exploration of our results by the broader scientific and clinical community.

Indexed as

cold ischemiakidney transplantspatial transcriptomicswarm ischemia

Identifiers

PMID40501673
PMCPMC12154843

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.